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data-testid="select-activator" class="common-field__dropdown-input [&>span]:overflow-hidden h-10"><span class="flex w-full items-center gap-1 [&>span]:truncate"><span>Most Views</span></span><div class="flex"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="keyboard_arrow_down" class="duration-400 transition-transform" style="" width="24" height="24" viewBox="0 0 16 16"></svg></div></button></div></div></div></div></div><div data-v-240dfb06><div class="border-b border-color-default pb-md mb-sm" data-v-240dfb06><div class="pt-md lg:pt-lg lg:flex justify-between space-y-xs" data-v-240dfb06><div class="flex flex-wrap gap-x-xs gap-y-xs" data-v-240dfb06><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 bg-content-subtler text-color-default px-2 !bg-surface-disabled" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Article</span></div><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 border border-color-bold px-2 text-color-subtlest" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Environmental and Earth Sciences</span></div><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 border border-color-bold px-2 text-color-subtlest" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Waste Management and Disposal</span></div></div><div class="flex" data-v-240dfb06><button class="m-button m-button--sm m-button--tertiary rounded mr-md after:hidden" type="button" data-v-240dfb06><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="download" style="" width="16" height="16" viewBox="0 0 16 16" data-v-240dfb06></svg> Download PDF </span></button><button class="m-button m-button--sm m-button--tertiary rounded after:hidden" type="button" data-v-240dfb06><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="format_quote" style="" width="16" height="16" viewBox="0 0 16 16" data-v-240dfb06></svg> Cite </span></button></div></div><a href="/manuscript/202411.2045/v1" class="" data-v-240dfb06><h5 class="m-heading text-inherit m-h5 font-normal pt-sm hover:text-color-link-bold" data-v-240dfb06>Simulation of Groundwater-Level Behavior in South-East Region of Korea Induced by the 2016 Gyeongju Earthquake Using 2D Hydro-Mechanical Coupled Bonded Particle Modelling</h5></a><div class="flex pt-sm flex-wrap gap-sm" data-v-240dfb06><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Hyunjin Cho<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Se-Yeong Hamm<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Jeoung Seok Yoon<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Soo-Gin Kim<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Jae-Yeol Cheong</p></div></div><div class="w-full relative overflow-hidden pt-sm" data-v-240dfb06><div><div class="clamp-3"><div class="inline abstract-content" data-v-240dfb06>Abstract: This study examines the hydrogeological response to seismic activity in the southeastern region of Korea, focusing on groundwater-level changes induced by the 2016 Gyeongju earthquake (ML 5.8). Using a 2D hydro-mechanical coupled bonded particle model, we simulated the dynamic fault rupture process to analyze stress redistribution and its impact on pore pressure and groundwater levels. The results indicate that compressional areas correlate strongly with pore pressure increases and groundwater-level rises, while extensional areas show decreases in both. Observations from the groundwater monitoring well at Gyeongju Cheonbuk, located approximately 10 km north of the earthquake’s epicenter, align well with the model's predictions, providing validation for the simulation. These findings highlight the capability of hydro-mechanical models to capture fault-induced hydrological responses and offer valuable insights into the interplay between seismic activity and groundwater systems.</div></div><div class="invisible absolute"><div class="inline abstract-content" data-v-240dfb06>Abstract: This study examines the hydrogeological response to seismic activity in the southeastern region of Korea, focusing on groundwater-level changes induced by the 2016 Gyeongju earthquake (ML 5.8). Using a 2D hydro-mechanical coupled bonded particle model, we simulated the dynamic fault rupture process to analyze stress redistribution and its impact on pore pressure and groundwater levels. The results indicate that compressional areas correlate strongly with pore pressure increases and groundwater-level rises, while extensional areas show decreases in both. Observations from the groundwater monitoring well at Gyeongju Cheonbuk, located approximately 10 km north of the earthquake’s epicenter, align well with the model's predictions, providing validation for the simulation. These findings highlight the capability of hydro-mechanical models to capture fault-induced hydrological responses and offer valuable insights into the interplay between seismic activity and groundwater systems.</div></div></div><div style="display:none;" class="absolute right-0 bottom-0"><span><span class="inline-block align-middle w-6 h-4 bg-gradient-to-r from-transparent to-white"></span><span class="bg-white">... </span></span><button class="m-button m-button--sm m-button--tertiary rounded !inline-flex after:hidden bg-white" type="button"><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center">Show more <svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="keyboard_arrow_down" style="" width="16" height="16" viewBox="0 0 16 16"></svg></span></button></div></div><div class="pt-sm text-color-subtle flex gap-x-sm gap-y-sm flex-col lg:flex-row" data-v-240dfb06><p class="m-text text-sm" data-v-240dfb06> Posted: 27 November 2024</p><p class="m-text text-sm underline cursor-pointer" data-v-240dfb06><a href="https://doi.org/10.20944/preprints202411.2045.v1" rel="noopener noreferrer" data-v-240dfb06><span data-v-240dfb06>https://doi.org/</span>10.20944/preprints202411.2045.v1</a></p></div></div><div data-v-240dfb06></div></div><div data-v-240dfb06><div class="border-b border-color-default pb-md mb-sm" data-v-240dfb06><div class="pt-md lg:pt-lg lg:flex justify-between space-y-xs" data-v-240dfb06><div class="flex flex-wrap gap-x-xs gap-y-xs" data-v-240dfb06><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 bg-content-subtler text-color-default px-2 !bg-surface-disabled" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Article</span></div><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 border border-color-bold px-2 text-color-subtlest" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Ecology</span></div><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 border border-color-bold px-2 text-color-subtlest" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Environmental and Earth Sciences</span></div></div><div class="flex" data-v-240dfb06><button class="m-button m-button--sm m-button--tertiary rounded mr-md after:hidden" type="button" data-v-240dfb06><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="download" style="" width="16" height="16" viewBox="0 0 16 16" data-v-240dfb06></svg> Download PDF </span></button><button class="m-button m-button--sm m-button--tertiary rounded after:hidden" type="button" data-v-240dfb06><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="format_quote" style="" width="16" height="16" viewBox="0 0 16 16" data-v-240dfb06></svg> Cite </span></button></div></div><a href="/manuscript/202411.2042/v1" class="" data-v-240dfb06><h5 class="m-heading text-inherit m-h5 font-normal pt-sm hover:text-color-link-bold" data-v-240dfb06>Impact of Multi-Scenario Land-Use Changes on Habitat Quality Evolution in the Yangtze River Economic Belt</h5></a><div class="flex pt-sm flex-wrap gap-sm" data-v-240dfb06><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>BoWen Dong<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Tiantian Huang<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Tao Tang<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Delin Huang<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Chen Tang</p></div></div><div class="w-full relative overflow-hidden pt-sm" data-v-240dfb06><div><div class="clamp-3"><div class="inline abstract-content" data-v-240dfb06>Abstract: <p>Ecosystems worldwide are facing significant challenges resulting from the dual pressures of global climate change and human activities, particularly in terms of significant biodiversity loss associated with land-use change. Focusing on the Yangtze River Economic Belt (YREB), this study uses the System Dynamics (SD) - Patch-generating Land Use Simulation (PLUS) model to simulate land-use development under different scenarios of shared socio-economic pathways (SSPs) and representative concentration pathways (RCPs) from 2030 to 2050. Furthermore, the InVEST model is applied to evaluate changes in habitat quality (HQ) over the period 2000 to 2050. A hotspot analysis further highlights the spatial heterogeneity of HQ within the YREB. The study showed that the land-use pattern in the YREB from 2020 to 2050 will be dominated by cropland in the eastern region, grassland in the north-west, and forest land in the central and southern regions, with a steady increase in built-up land in the east. The HQ index exhibits a gradual increase from east to west, ultimately declining to 0.726 under the SSP585 scenario for 2050. This trend reflects moderate habitat degradation (HD), with the degree of degradation shifting towards lower and higher proportions of HQ. Spatial analysis of HQ further reveals that the eastern region is identified as a cold spot, the central region is categorized as non-significant, while the western region emerges as a hot spot, where HQ exceeds 40%. These findings offer a scientific foundation for promoting high-quality development and enhancing biodiversity conservation in the YREB.</p></div></div><div class="invisible absolute"><div class="inline abstract-content" data-v-240dfb06>Abstract: <p>Ecosystems worldwide are facing significant challenges resulting from the dual pressures of global climate change and human activities, particularly in terms of significant biodiversity loss associated with land-use change. Focusing on the Yangtze River Economic Belt (YREB), this study uses the System Dynamics (SD) - Patch-generating Land Use Simulation (PLUS) model to simulate land-use development under different scenarios of shared socio-economic pathways (SSPs) and representative concentration pathways (RCPs) from 2030 to 2050. Furthermore, the InVEST model is applied to evaluate changes in habitat quality (HQ) over the period 2000 to 2050. A hotspot analysis further highlights the spatial heterogeneity of HQ within the YREB. The study showed that the land-use pattern in the YREB from 2020 to 2050 will be dominated by cropland in the eastern region, grassland in the north-west, and forest land in the central and southern regions, with a steady increase in built-up land in the east. The HQ index exhibits a gradual increase from east to west, ultimately declining to 0.726 under the SSP585 scenario for 2050. This trend reflects moderate habitat degradation (HD), with the degree of degradation shifting towards lower and higher proportions of HQ. Spatial analysis of HQ further reveals that the eastern region is identified as a cold spot, the central region is categorized as non-significant, while the western region emerges as a hot spot, where HQ exceeds 40%. These findings offer a scientific foundation for promoting high-quality development and enhancing biodiversity conservation in the YREB.</p></div></div></div><div style="display:none;" class="absolute right-0 bottom-0"><span><span class="inline-block align-middle w-6 h-4 bg-gradient-to-r from-transparent to-white"></span><span class="bg-white">... </span></span><button class="m-button m-button--sm m-button--tertiary rounded !inline-flex after:hidden bg-white" type="button"><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center">Show more <svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="keyboard_arrow_down" style="" width="16" height="16" viewBox="0 0 16 16"></svg></span></button></div></div><div class="pt-sm text-color-subtle flex gap-x-sm gap-y-sm flex-col lg:flex-row" data-v-240dfb06><p class="m-text text-sm" data-v-240dfb06> Posted: 26 November 2024</p><p class="m-text text-sm underline cursor-pointer" data-v-240dfb06><a href="https://doi.org/10.20944/preprints202411.2042.v1" rel="noopener noreferrer" data-v-240dfb06><span data-v-240dfb06>https://doi.org/</span>10.20944/preprints202411.2042.v1</a></p></div></div><div data-v-240dfb06></div></div><div data-v-240dfb06><div class="border-b border-color-default pb-md mb-sm" data-v-240dfb06><div class="pt-md lg:pt-lg lg:flex justify-between space-y-xs" data-v-240dfb06><div class="flex flex-wrap gap-x-xs gap-y-xs" data-v-240dfb06><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 bg-content-subtler text-color-default px-2 !bg-surface-disabled" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Article</span></div><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 border border-color-bold px-2 text-color-subtlest" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Atmospheric Science and Meteorology</span></div><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 border border-color-bold px-2 text-color-subtlest" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Environmental and Earth Sciences</span></div></div><div class="flex" data-v-240dfb06><button class="m-button m-button--sm m-button--tertiary rounded mr-md after:hidden" type="button" data-v-240dfb06><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="download" style="" width="16" height="16" viewBox="0 0 16 16" data-v-240dfb06></svg> Download PDF </span></button><button class="m-button m-button--sm m-button--tertiary rounded after:hidden" type="button" data-v-240dfb06><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="format_quote" style="" width="16" height="16" viewBox="0 0 16 16" data-v-240dfb06></svg> Cite </span></button></div></div><a href="/manuscript/202411.1936/v1" class="" data-v-240dfb06><h5 class="m-heading text-inherit m-h5 font-normal pt-sm hover:text-color-link-bold" data-v-240dfb06>Considerations on UAS-Based In-Situ Weather Sensing in Winter Precipitation Environments</h5></a><div class="flex pt-sm flex-wrap gap-sm" data-v-240dfb06><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Gustavo Britto Hupsel de Azevedo<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Alyssa Avery<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>David Schvartzman<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Scott Landolt<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Stephanie DiVito<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Braydon Revard<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Jamey D. Jacob</p></div></div><div class="w-full relative overflow-hidden pt-sm" data-v-240dfb06><div><div class="clamp-3"><div class="inline abstract-content" data-v-240dfb06>Abstract: Freezing rain and freezing drizzle can produce nearly undetectable hazards with potentially catastrophic consequences for aircraft within low altitudes (e.g., the terminal area). However, the lack of direct observations of the low-altitude freezing precipitation environment creates a challenge for forecasters, flight crews, dispatchers, and air traffic controllers. This research demonstrates how unmanned aerial vehicles (UAVs) can be designed and instrumented to create unmanned aerial weather measurement systems (WxUAS) capable of characterizing the low-altitude freezing precipitation environment and providing insight into the mechanisms that govern it. This article discusses the design considerations for WxUAS-based in-situ sampling in active precipitation, results from controlled experiments at the Oklahoma Mesonet’s calibration laboratory, as well as results from intercomparison studies with collocated well-established ground-based instruments in Oklahoma and Colorado. Additionally, we explore the insights provided by high-resolution thermodynamic and particle size distribution profiles and their potential contributions to a better understanding of the low-altitude freezing precipitation environment.</div></div><div class="invisible absolute"><div class="inline abstract-content" data-v-240dfb06>Abstract: Freezing rain and freezing drizzle can produce nearly undetectable hazards with potentially catastrophic consequences for aircraft within low altitudes (e.g., the terminal area). However, the lack of direct observations of the low-altitude freezing precipitation environment creates a challenge for forecasters, flight crews, dispatchers, and air traffic controllers. This research demonstrates how unmanned aerial vehicles (UAVs) can be designed and instrumented to create unmanned aerial weather measurement systems (WxUAS) capable of characterizing the low-altitude freezing precipitation environment and providing insight into the mechanisms that govern it. This article discusses the design considerations for WxUAS-based in-situ sampling in active precipitation, results from controlled experiments at the Oklahoma Mesonet’s calibration laboratory, as well as results from intercomparison studies with collocated well-established ground-based instruments in Oklahoma and Colorado. Additionally, we explore the insights provided by high-resolution thermodynamic and particle size distribution profiles and their potential contributions to a better understanding of the low-altitude freezing precipitation environment.</div></div></div><div style="display:none;" class="absolute right-0 bottom-0"><span><span class="inline-block align-middle w-6 h-4 bg-gradient-to-r from-transparent to-white"></span><span class="bg-white">... </span></span><button class="m-button m-button--sm m-button--tertiary rounded !inline-flex after:hidden bg-white" type="button"><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center">Show more <svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="keyboard_arrow_down" style="" width="16" height="16" viewBox="0 0 16 16"></svg></span></button></div></div><div class="pt-sm text-color-subtle flex gap-x-sm gap-y-sm flex-col lg:flex-row" data-v-240dfb06><p class="m-text text-sm" data-v-240dfb06> Posted: 26 November 2024</p><p class="m-text text-sm underline cursor-pointer" data-v-240dfb06><a href="https://doi.org/10.20944/preprints202411.1936.v1" rel="noopener noreferrer" data-v-240dfb06><span data-v-240dfb06>https://doi.org/</span>10.20944/preprints202411.1936.v1</a></p></div></div><div data-v-240dfb06></div></div><div data-v-240dfb06><div class="border-b border-color-default pb-md mb-sm" data-v-240dfb06><div class="pt-md lg:pt-lg lg:flex justify-between space-y-xs" data-v-240dfb06><div class="flex flex-wrap gap-x-xs gap-y-xs" data-v-240dfb06><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 bg-content-subtler text-color-default px-2 !bg-surface-disabled" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Article</span></div><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 border border-color-bold px-2 text-color-subtlest" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Remote Sensing</span></div><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 border border-color-bold px-2 text-color-subtlest" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Environmental and Earth Sciences</span></div></div><div class="flex" data-v-240dfb06><button class="m-button m-button--sm m-button--tertiary rounded mr-md after:hidden" type="button" data-v-240dfb06><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="download" style="" width="16" height="16" viewBox="0 0 16 16" data-v-240dfb06></svg> Download PDF </span></button><button class="m-button m-button--sm m-button--tertiary rounded after:hidden" type="button" data-v-240dfb06><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="format_quote" style="" width="16" height="16" viewBox="0 0 16 16" data-v-240dfb06></svg> Cite </span></button></div></div><a href="/manuscript/202411.2018/v1" class="" data-v-240dfb06><h5 class="m-heading text-inherit m-h5 font-normal pt-sm hover:text-color-link-bold" data-v-240dfb06>Estimating Carbon Storage in Tree Stem Biomass of Mixed Boreal Forest Using UAV LiDAR Data</h5></a><div class="flex pt-sm flex-wrap gap-sm" data-v-240dfb06><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Danil V. Ilyasov<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Mikhail V. Glagolev<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Albina A. Ernova<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Alexandr A. Kaverin<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Valeriya A. Rusakova<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Artur V. Kondratenko<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Iuliia V. Kupriianova<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Mikhail F. Kulyabin</p></div></div><div class="w-full relative overflow-hidden pt-sm" data-v-240dfb06><div><div class="clamp-3"><div class="inline abstract-content" data-v-240dfb06>Abstract: The inventory of carbon stocks in forests and the assessment of their spatio-temporal variability is a crucial task in the context of climate change and the search for adaptation strategies, as noted at both international and national levels. Since 2022, Russia has been implementing the project “Rhythm of Carbon”, one of the main goals of which is the assessment of carbon stocks in forests on permanent sites, which should be further upscaled using remote methods. We conducted the assessment of carbon stocks in tree stem biomass in a mixed boreal forest at the “Mukhrino” field station (West Siberia) using a comprehensive approach based on UAV LiDAR surveys and ground verification. Allometric models based on an ensemble approach and stochastic modeling were used to assess the relationship between ground-determined wood biomass stocks and tree height obtained via LiDAR. We obtained sufficient agreement between ground-based and remote assessments of tree heights, their number, and carbon stocks, which averaged 54 ± 11 t/ha. However, the LiDAR assessment conducted from a flight altitude of 120 meters does not account for understory trees due to the high canopy closure and systematically underestimates the number of overstory trees, which was compensated for using a correction factor.</div></div><div class="invisible absolute"><div class="inline abstract-content" data-v-240dfb06>Abstract: The inventory of carbon stocks in forests and the assessment of their spatio-temporal variability is a crucial task in the context of climate change and the search for adaptation strategies, as noted at both international and national levels. Since 2022, Russia has been implementing the project “Rhythm of Carbon”, one of the main goals of which is the assessment of carbon stocks in forests on permanent sites, which should be further upscaled using remote methods. We conducted the assessment of carbon stocks in tree stem biomass in a mixed boreal forest at the “Mukhrino” field station (West Siberia) using a comprehensive approach based on UAV LiDAR surveys and ground verification. Allometric models based on an ensemble approach and stochastic modeling were used to assess the relationship between ground-determined wood biomass stocks and tree height obtained via LiDAR. We obtained sufficient agreement between ground-based and remote assessments of tree heights, their number, and carbon stocks, which averaged 54 ± 11 t/ha. However, the LiDAR assessment conducted from a flight altitude of 120 meters does not account for understory trees due to the high canopy closure and systematically underestimates the number of overstory trees, which was compensated for using a correction factor.</div></div></div><div style="display:none;" class="absolute right-0 bottom-0"><span><span class="inline-block align-middle w-6 h-4 bg-gradient-to-r from-transparent to-white"></span><span class="bg-white">... </span></span><button class="m-button m-button--sm m-button--tertiary rounded !inline-flex after:hidden bg-white" type="button"><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center">Show more <svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="keyboard_arrow_down" style="" width="16" height="16" viewBox="0 0 16 16"></svg></span></button></div></div><div class="pt-sm text-color-subtle flex gap-x-sm gap-y-sm flex-col lg:flex-row" data-v-240dfb06><p class="m-text text-sm" data-v-240dfb06> Posted: 26 November 2024</p><p class="m-text text-sm underline cursor-pointer" data-v-240dfb06><a href="https://doi.org/10.20944/preprints202411.2018.v1" rel="noopener noreferrer" data-v-240dfb06><span data-v-240dfb06>https://doi.org/</span>10.20944/preprints202411.2018.v1</a></p></div></div><div data-v-240dfb06></div></div><div data-v-240dfb06><div class="border-b border-color-default pb-md mb-sm" data-v-240dfb06><div class="pt-md lg:pt-lg lg:flex justify-between space-y-xs" data-v-240dfb06><div class="flex flex-wrap gap-x-xs gap-y-xs" data-v-240dfb06><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 bg-content-subtler text-color-default px-2 !bg-surface-disabled" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Article</span></div><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 border border-color-bold px-2 text-color-subtlest" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Environmental Science</span></div><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 border border-color-bold px-2 text-color-subtlest" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Environmental and Earth Sciences</span></div></div><div class="flex" data-v-240dfb06><button class="m-button m-button--sm m-button--tertiary rounded mr-md after:hidden" type="button" data-v-240dfb06><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="download" style="" width="16" height="16" viewBox="0 0 16 16" data-v-240dfb06></svg> Download PDF </span></button><button class="m-button m-button--sm m-button--tertiary rounded after:hidden" type="button" data-v-240dfb06><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="format_quote" style="" width="16" height="16" viewBox="0 0 16 16" data-v-240dfb06></svg> Cite </span></button></div></div><a href="/manuscript/202411.1950/v1" class="" data-v-240dfb06><h5 class="m-heading text-inherit m-h5 font-normal pt-sm hover:text-color-link-bold" data-v-240dfb06>From Microalgae to Biofuels: Investigating Valorization Pathways Towards Biorefinery Integration</h5></a><div class="flex pt-sm flex-wrap gap-sm" data-v-240dfb06><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Panagiotis Fotios Chatzimaliakas<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Ermis Koutsaftis-Fragkos<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Sofia Mai<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Dimitris Malamis<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Elli Maria Barampouti</p></div></div><div class="w-full relative overflow-hidden pt-sm" data-v-240dfb06><div><div class="clamp-3"><div class="inline abstract-content" data-v-240dfb06>Abstract: The rapid growth of the world population led to an exponential growth in industrial activity all around the world. Consequently, CO2 emissions have risen almost 400% since 1950 due to human activities. Considering that microalgae biomass is recognized as a renewable feedstock to produce third generation biofuels and bioenergy, the scope of the present research was to investigate al-ternative routes to produce bioethanol and biomethane in laboratory scale from dried algae biomass. The first step was to evaluate and optimize the production of sugars from the received biomass. Thus, three different techniques with three different solvents were tested to identify the most ef-fective and efficient in terms of saccharification yield. With the assistance of an autoclave or a high temperature water bath and 0.2M NaOH as a solvent, yields of 79.16 ± 3.03% and 85.73 ± 3.23% were achieved which correspond to 9.24 and 9.80 g/L of glucose respectively. Furthermore, the most efficient method from the pretreatment step was chosen to carry out a factorial design to produce bioethanol. The experiments showed that the loading of cellulase was of crucial importance to the optimization of the process. Regarding the ethanol yields obtained, the highest was 76.12 ± 4.90% with a concentration of 4.40 ± 0.28 g/L (0.3 Μ NaOH, 750 μL/gcellulose and 65 μL/gstarch). In addition, the stillages derived from the fermentation broth were assessed through a BMP test to evaluate their biomethane potential. They exhibited increased biomethane yields in comparison with the untreated feedstock. The highest methane yield recorded was 217.88 ± 10.40 mL/gVS. Finally, the energy that could be produced if both products (bioethanol and biomethane) were valorized, was evaluated. The analysis showed that up to 1044.48 kWh/tn of algae feedstock could be produced, with the biomethane production contributing 75.26% to the total energy output.</div></div><div class="invisible absolute"><div class="inline abstract-content" data-v-240dfb06>Abstract: The rapid growth of the world population led to an exponential growth in industrial activity all around the world. Consequently, CO2 emissions have risen almost 400% since 1950 due to human activities. Considering that microalgae biomass is recognized as a renewable feedstock to produce third generation biofuels and bioenergy, the scope of the present research was to investigate al-ternative routes to produce bioethanol and biomethane in laboratory scale from dried algae biomass. The first step was to evaluate and optimize the production of sugars from the received biomass. Thus, three different techniques with three different solvents were tested to identify the most ef-fective and efficient in terms of saccharification yield. With the assistance of an autoclave or a high temperature water bath and 0.2M NaOH as a solvent, yields of 79.16 ± 3.03% and 85.73 ± 3.23% were achieved which correspond to 9.24 and 9.80 g/L of glucose respectively. Furthermore, the most efficient method from the pretreatment step was chosen to carry out a factorial design to produce bioethanol. The experiments showed that the loading of cellulase was of crucial importance to the optimization of the process. Regarding the ethanol yields obtained, the highest was 76.12 ± 4.90% with a concentration of 4.40 ± 0.28 g/L (0.3 Μ NaOH, 750 μL/gcellulose and 65 μL/gstarch). In addition, the stillages derived from the fermentation broth were assessed through a BMP test to evaluate their biomethane potential. They exhibited increased biomethane yields in comparison with the untreated feedstock. The highest methane yield recorded was 217.88 ± 10.40 mL/gVS. Finally, the energy that could be produced if both products (bioethanol and biomethane) were valorized, was evaluated. The analysis showed that up to 1044.48 kWh/tn of algae feedstock could be produced, with the biomethane production contributing 75.26% to the total energy output.</div></div></div><div style="display:none;" class="absolute right-0 bottom-0"><span><span class="inline-block align-middle w-6 h-4 bg-gradient-to-r from-transparent to-white"></span><span class="bg-white">... </span></span><button class="m-button m-button--sm m-button--tertiary rounded !inline-flex after:hidden bg-white" type="button"><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center">Show more <svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="keyboard_arrow_down" style="" width="16" height="16" viewBox="0 0 16 16"></svg></span></button></div></div><div class="pt-sm text-color-subtle flex gap-x-sm gap-y-sm flex-col lg:flex-row" data-v-240dfb06><p class="m-text text-sm" data-v-240dfb06> Posted: 26 November 2024</p><p class="m-text text-sm underline cursor-pointer" data-v-240dfb06><a href="https://doi.org/10.20944/preprints202411.1950.v1" rel="noopener noreferrer" data-v-240dfb06><span data-v-240dfb06>https://doi.org/</span>10.20944/preprints202411.1950.v1</a></p></div></div><div data-v-240dfb06></div></div><div data-v-240dfb06><div class="border-b border-color-default pb-md mb-sm" data-v-240dfb06><div class="pt-md lg:pt-lg lg:flex justify-between space-y-xs" data-v-240dfb06><div class="flex flex-wrap gap-x-xs gap-y-xs" data-v-240dfb06><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 bg-content-subtler text-color-default px-2 !bg-surface-disabled" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Article</span></div><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 border border-color-bold px-2 text-color-subtlest" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Environmental Science</span></div><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 border border-color-bold px-2 text-color-subtlest" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Environmental and Earth Sciences</span></div></div><div class="flex" data-v-240dfb06><button class="m-button m-button--sm m-button--tertiary rounded mr-md after:hidden" type="button" data-v-240dfb06><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="download" style="" width="16" height="16" viewBox="0 0 16 16" data-v-240dfb06></svg> Download PDF </span></button><button class="m-button m-button--sm m-button--tertiary rounded after:hidden" type="button" data-v-240dfb06><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="format_quote" style="" width="16" height="16" viewBox="0 0 16 16" data-v-240dfb06></svg> Cite </span></button></div></div><a href="/manuscript/202411.1935/v1" class="" data-v-240dfb06><h5 class="m-heading text-inherit m-h5 font-normal pt-sm hover:text-color-link-bold" data-v-240dfb06>A Perspective on Optimizing the Productive and Environmental Performance in Southern Italian Olive Groves: Analyzing the Impact of Organic Fertilizers and Seasonal Irrigation Management on Yield, Water Footprint, and Water Efficiency</h5></a><div class="flex pt-sm flex-wrap gap-sm" data-v-240dfb06><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Pasquale Garofalo<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Liliana Gaeta<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Carolina Vitti<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Luisa Giglio<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Rita Leogrande</p></div></div><div class="w-full relative overflow-hidden pt-sm" data-v-240dfb06><div><div class="clamp-3"><div class="inline abstract-content" data-v-240dfb06>Abstract: This study investigates the impact of various irrigation regimes and organic fertilizers on olive cultivation productivity and environmental sustainability. Experimental results showed that olive trees fertilized with biochar yielded an average of 2640 kg ha-1, while those fertilized with a commercial product based on dry blood resulted in lower yields of 1820 kg ha-1. Significant productivity gains were observed under irrigation, particularly with the fully watered regime, which nearly doubled yields compared to non-irrigated trees. The study also highlighted the influence of irrigation on water use efficiency, with water consumption metrics varying notably among different fertilization treatments. The water footprint analysis indicated that the most sustainable option, characterized by the lowest water footprint, did not consistently align with productivity gains, emphasizing the need for integrated management strategies. An analysis of marginal irrigation use efficiency revealed that optimizing irrigation volumes improved productivity while providing substantial water savings. A scoring system was employed to standardize various parameters, enabling direct comparisons of irrigation and fertilization treatments. Ultimately, the results suggested that biochar, in combination with deficit irrigation strategies, could enhance both productivity and sustainability in olive farming, with the strategy of ceasing irrigation at the pit hardening phase achieving the highest aggregated score for management effectiveness. These findings underscore the importance of optimizing irrigation and fertilization practices to promote environmentally sustainable agricultural systems in Mediterranean climates.</div></div><div class="invisible absolute"><div class="inline abstract-content" data-v-240dfb06>Abstract: This study investigates the impact of various irrigation regimes and organic fertilizers on olive cultivation productivity and environmental sustainability. Experimental results showed that olive trees fertilized with biochar yielded an average of 2640 kg ha-1, while those fertilized with a commercial product based on dry blood resulted in lower yields of 1820 kg ha-1. Significant productivity gains were observed under irrigation, particularly with the fully watered regime, which nearly doubled yields compared to non-irrigated trees. The study also highlighted the influence of irrigation on water use efficiency, with water consumption metrics varying notably among different fertilization treatments. The water footprint analysis indicated that the most sustainable option, characterized by the lowest water footprint, did not consistently align with productivity gains, emphasizing the need for integrated management strategies. An analysis of marginal irrigation use efficiency revealed that optimizing irrigation volumes improved productivity while providing substantial water savings. A scoring system was employed to standardize various parameters, enabling direct comparisons of irrigation and fertilization treatments. Ultimately, the results suggested that biochar, in combination with deficit irrigation strategies, could enhance both productivity and sustainability in olive farming, with the strategy of ceasing irrigation at the pit hardening phase achieving the highest aggregated score for management effectiveness. These findings underscore the importance of optimizing irrigation and fertilization practices to promote environmentally sustainable agricultural systems in Mediterranean climates.</div></div></div><div style="display:none;" class="absolute right-0 bottom-0"><span><span class="inline-block align-middle w-6 h-4 bg-gradient-to-r from-transparent to-white"></span><span class="bg-white">... </span></span><button class="m-button m-button--sm m-button--tertiary rounded !inline-flex after:hidden bg-white" type="button"><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center">Show more <svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="keyboard_arrow_down" style="" width="16" height="16" viewBox="0 0 16 16"></svg></span></button></div></div><div class="pt-sm text-color-subtle flex gap-x-sm gap-y-sm flex-col lg:flex-row" data-v-240dfb06><p class="m-text text-sm" data-v-240dfb06> Posted: 26 November 2024</p><p class="m-text text-sm underline cursor-pointer" data-v-240dfb06><a href="https://doi.org/10.20944/preprints202411.1935.v1" rel="noopener noreferrer" data-v-240dfb06><span data-v-240dfb06>https://doi.org/</span>10.20944/preprints202411.1935.v1</a></p></div></div><div data-v-240dfb06></div></div><div data-v-240dfb06><div class="border-b border-color-default pb-md mb-sm" data-v-240dfb06><div class="pt-md lg:pt-lg lg:flex justify-between space-y-xs" data-v-240dfb06><div class="flex flex-wrap gap-x-xs gap-y-xs" data-v-240dfb06><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 bg-content-subtler text-color-default px-2 !bg-surface-disabled" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Article</span></div><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 border border-color-bold px-2 text-color-subtlest" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Atmospheric Science and Meteorology</span></div><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 border border-color-bold px-2 text-color-subtlest" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Environmental and Earth Sciences</span></div></div><div class="flex" data-v-240dfb06><button class="m-button m-button--sm m-button--tertiary rounded mr-md after:hidden" type="button" data-v-240dfb06><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="download" style="" width="16" height="16" viewBox="0 0 16 16" data-v-240dfb06></svg> Download PDF </span></button><button class="m-button m-button--sm m-button--tertiary rounded after:hidden" type="button" data-v-240dfb06><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="format_quote" style="" width="16" height="16" viewBox="0 0 16 16" data-v-240dfb06></svg> Cite </span></button></div></div><a href="/manuscript/202411.1884/v1" class="" data-v-240dfb06><h5 class="m-heading text-inherit m-h5 font-normal pt-sm hover:text-color-link-bold" data-v-240dfb06>Giant Aerosol Observations with Cloud Radar: Methodology and Effects</h5></a><div class="flex pt-sm flex-wrap gap-sm" data-v-240dfb06><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Pilar Gumà-Claramunt<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Fabio Madonna<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Aldo Amodeo<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Matthias Bauer-Pfundstein<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Nikolaos Papagiannopoulos<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Marco Rosoldi<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Gelsomina Pappalardo</p></div></div><div class="w-full relative overflow-hidden pt-sm" data-v-240dfb06><div><div class="clamp-3"><div class="inline abstract-content" data-v-240dfb06>Abstract: In this study, an innovative methodology for the identification of giant aerosols using cloud radar is introduced. The methodology makes use of several insects studies and is applied to a 6-year long cloud radar dataset in Potenza, South Italy. 40 giant aerosol events per year were found and are in good agreement with the site’s climatological record. A sensitivity study on the effects of the giant aerosols on three atmospheric variables and under different atmospheric stability conditions showed that the presence of giant aerosols: a) increased the Aerosol Optical Depth in all the atmospheric stability conditions, b) decreased the Ångström exponent for the highest and lowest stability conditions and had the opposite effect for the intermediate stability condition, and c) increased the accumulated precipitation in all the atmospheric conditions, specially in the most unstable ones.</div></div><div class="invisible absolute"><div class="inline abstract-content" data-v-240dfb06>Abstract: In this study, an innovative methodology for the identification of giant aerosols using cloud radar is introduced. The methodology makes use of several insects studies and is applied to a 6-year long cloud radar dataset in Potenza, South Italy. 40 giant aerosol events per year were found and are in good agreement with the site’s climatological record. A sensitivity study on the effects of the giant aerosols on three atmospheric variables and under different atmospheric stability conditions showed that the presence of giant aerosols: a) increased the Aerosol Optical Depth in all the atmospheric stability conditions, b) decreased the Ångström exponent for the highest and lowest stability conditions and had the opposite effect for the intermediate stability condition, and c) increased the accumulated precipitation in all the atmospheric conditions, specially in the most unstable ones.</div></div></div><div style="display:none;" class="absolute right-0 bottom-0"><span><span class="inline-block align-middle w-6 h-4 bg-gradient-to-r from-transparent to-white"></span><span class="bg-white">... </span></span><button class="m-button m-button--sm m-button--tertiary rounded !inline-flex after:hidden bg-white" type="button"><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center">Show more <svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="keyboard_arrow_down" style="" width="16" height="16" viewBox="0 0 16 16"></svg></span></button></div></div><div class="pt-sm text-color-subtle flex gap-x-sm gap-y-sm flex-col lg:flex-row" data-v-240dfb06><p class="m-text text-sm" data-v-240dfb06> Posted: 26 November 2024</p><p class="m-text text-sm underline cursor-pointer" data-v-240dfb06><a href="https://doi.org/10.20944/preprints202411.1884.v1" rel="noopener noreferrer" data-v-240dfb06><span data-v-240dfb06>https://doi.org/</span>10.20944/preprints202411.1884.v1</a></p></div></div><div data-v-240dfb06></div></div><div data-v-240dfb06><div class="border-b border-color-default pb-md mb-sm" data-v-240dfb06><div class="pt-md lg:pt-lg lg:flex justify-between space-y-xs" data-v-240dfb06><div class="flex flex-wrap gap-x-xs gap-y-xs" data-v-240dfb06><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 bg-content-subtler text-color-default px-2 !bg-surface-disabled" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Article</span></div><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 border border-color-bold px-2 text-color-subtlest" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Remote Sensing</span></div><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 border border-color-bold px-2 text-color-subtlest" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Environmental and Earth Sciences</span></div></div><div class="flex" data-v-240dfb06><button class="m-button m-button--sm m-button--tertiary rounded mr-md after:hidden" type="button" data-v-240dfb06><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="download" style="" width="16" height="16" viewBox="0 0 16 16" data-v-240dfb06></svg> Download PDF </span></button><button class="m-button m-button--sm m-button--tertiary rounded after:hidden" type="button" data-v-240dfb06><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="format_quote" style="" width="16" height="16" viewBox="0 0 16 16" data-v-240dfb06></svg> Cite </span></button></div></div><a href="/manuscript/202411.1923/v1" class="" data-v-240dfb06><h5 class="m-heading text-inherit m-h5 font-normal pt-sm hover:text-color-link-bold" data-v-240dfb06>Downscaling of Remote Sensing Soil Moisture Products That Integrate Microwave and Optical Data</h5></a><div class="flex pt-sm flex-wrap gap-sm" data-v-240dfb06><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Jie Wang<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Huazhu Xue<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Guotao Dong<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Qian Yuan<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Ruirui Zhang<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Runsheng Jing</p></div></div><div class="w-full relative overflow-hidden pt-sm" data-v-240dfb06><div><div class="clamp-3"><div class="inline abstract-content" data-v-240dfb06>Abstract: Soil moisture is a key variable that affects ecosystem carbon and water cycles and that can directly affect climate change. Remote sensing is the best way to obtain global soil moisture data. Currently, soil moisture remote sensing products have coarse spatial resolution, which limits their application in agriculture, the ecological environment, and urban planning. Soil moisture downscaling methods rely mainly on optical data. Affected by weather, the spatial discontinuity of optical data has a greater impact on the downscaling results. The synthetic aperture radar (SAR) backscatter coefficient is strongly correlated with soil moisture. This study was based on the Google Earth Engine (GEE) platform, integrates Moderate-Resolution Imaging Spectroradiometer (MODIS) optical and SAR backscattering coefficients, uses machine learning methods to downscale the soil moisture product, reducing the original soil moisture with a resolution of 10 km to 1 km and 100 m. The downscaling results were verified using in situ soil moisture observation data from the Shandian River and Wudaoliang. The results show that in the two study areas, the downscaling results after adding SAR backscattering coefficients are better than before. In Shandian River, the R increases from 0.28 to 0.42. In Wudaoliang, the R increases from 0.54 to 0.70. The RMSEs are 0.03(cm3/cm3). The downscaled soil moisture products play an important role in water resource management, natural disaster monitoring, ecological and environmental protection, and other fields. In the monitoring and management of natural disasters such as droughts and floods, it can provide key information support for decision makers and help formulate more effective emergency response plans. During droughts, affected areas can be identified in a timely manner, and the allocation and scheduling of water resources can be optimized, thereby reducing agricultural losses.</div></div><div class="invisible absolute"><div class="inline abstract-content" data-v-240dfb06>Abstract: Soil moisture is a key variable that affects ecosystem carbon and water cycles and that can directly affect climate change. Remote sensing is the best way to obtain global soil moisture data. Currently, soil moisture remote sensing products have coarse spatial resolution, which limits their application in agriculture, the ecological environment, and urban planning. Soil moisture downscaling methods rely mainly on optical data. Affected by weather, the spatial discontinuity of optical data has a greater impact on the downscaling results. The synthetic aperture radar (SAR) backscatter coefficient is strongly correlated with soil moisture. This study was based on the Google Earth Engine (GEE) platform, integrates Moderate-Resolution Imaging Spectroradiometer (MODIS) optical and SAR backscattering coefficients, uses machine learning methods to downscale the soil moisture product, reducing the original soil moisture with a resolution of 10 km to 1 km and 100 m. The downscaling results were verified using in situ soil moisture observation data from the Shandian River and Wudaoliang. The results show that in the two study areas, the downscaling results after adding SAR backscattering coefficients are better than before. In Shandian River, the R increases from 0.28 to 0.42. In Wudaoliang, the R increases from 0.54 to 0.70. The RMSEs are 0.03(cm3/cm3). The downscaled soil moisture products play an important role in water resource management, natural disaster monitoring, ecological and environmental protection, and other fields. In the monitoring and management of natural disasters such as droughts and floods, it can provide key information support for decision makers and help formulate more effective emergency response plans. During droughts, affected areas can be identified in a timely manner, and the allocation and scheduling of water resources can be optimized, thereby reducing agricultural losses.</div></div></div><div style="display:none;" class="absolute right-0 bottom-0"><span><span class="inline-block align-middle w-6 h-4 bg-gradient-to-r from-transparent to-white"></span><span class="bg-white">... </span></span><button class="m-button m-button--sm m-button--tertiary rounded !inline-flex after:hidden bg-white" type="button"><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center">Show more <svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="keyboard_arrow_down" style="" width="16" height="16" viewBox="0 0 16 16"></svg></span></button></div></div><div class="pt-sm text-color-subtle flex gap-x-sm gap-y-sm flex-col lg:flex-row" data-v-240dfb06><p class="m-text text-sm" data-v-240dfb06> Posted: 25 November 2024</p><p class="m-text text-sm underline cursor-pointer" data-v-240dfb06><a href="https://doi.org/10.20944/preprints202411.1923.v1" rel="noopener noreferrer" data-v-240dfb06><span data-v-240dfb06>https://doi.org/</span>10.20944/preprints202411.1923.v1</a></p></div></div><div data-v-240dfb06></div></div><div data-v-240dfb06><div class="border-b border-color-default pb-md mb-sm" data-v-240dfb06><div class="pt-md lg:pt-lg lg:flex justify-between space-y-xs" data-v-240dfb06><div class="flex flex-wrap gap-x-xs gap-y-xs" data-v-240dfb06><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 bg-content-subtler text-color-default px-2 !bg-surface-disabled" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Article</span></div><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 border border-color-bold px-2 text-color-subtlest" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Water Science and Technology</span></div><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 border border-color-bold px-2 text-color-subtlest" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Environmental and Earth Sciences</span></div></div><div class="flex" data-v-240dfb06><button class="m-button m-button--sm m-button--tertiary rounded mr-md after:hidden" type="button" data-v-240dfb06><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="download" style="" width="16" height="16" viewBox="0 0 16 16" data-v-240dfb06></svg> Download PDF </span></button><button class="m-button m-button--sm m-button--tertiary rounded after:hidden" type="button" data-v-240dfb06><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="format_quote" style="" width="16" height="16" viewBox="0 0 16 16" data-v-240dfb06></svg> Cite </span></button></div></div><a href="/manuscript/202411.1846/v1" class="" data-v-240dfb06><h5 class="m-heading text-inherit m-h5 font-normal pt-sm hover:text-color-link-bold" data-v-240dfb06>The Special Hydrated Iron Oxyhydroxide for Catalyzing Persulfate to Control the Chemical Wastewater Contained Fluoranthene, Phenanthrene and Pyrene</h5></a><div class="flex pt-sm flex-wrap gap-sm" data-v-240dfb06><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Yanyan Wang<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Weiqian Wang<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Fenwu Liu<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Qingyue Wang<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Shangrong Wu</p></div></div><div class="w-full relative overflow-hidden pt-sm" data-v-240dfb06><div><div class="clamp-3"><div class="inline abstract-content" data-v-240dfb06>Abstract: Water pollution caused by fluoranthene (FLN), phenanthrene (Phe), and pyrene (Pyr) has become an increasingly serious issue in recent years. Consequently, finding effective methods to remove these pollutants from aquatic environments is of paramount importance. This study investigated the removal of FLN, Phe, and Pyr from simulated wastewater using persulfate (PS) and explored the effects of PS catalyzed by three different forms of schwertmannite (sch): sch-1, sch-2, and sch@BC (schwertmannite-biochar composite). Results showed varying removal rates after a 1-hour reaction time for different treatments: For FLN: sch-1+PS (98.5%), sch-2+PS (54.2%), sch@BC+PS (21.1%), and PS alone (14.8%). For Phe: sch-1+PS (94.3%), sch-2+PS (44.1%), sch@BC+PS (28.4%), and PS alone (7.6%). For Pyr: sch-1+PS (97.2%), sch-2+PS (52.5%), sch@BC+PS (14.2%), and PS alone (1.7%). Among the catalysts tested, sch-2 (added 0.36 mL H2O2 five times) demonstrated excellent catalytic ability in enhancing PS removal of FLN, Phe, and Pyr. This research provides theoretical support for treating polycyclic aromatic hydrocarbon (PAH)-containing wastewater via persulfate oxidation catalyzed by schwertmannite.</div></div><div class="invisible absolute"><div class="inline abstract-content" data-v-240dfb06>Abstract: Water pollution caused by fluoranthene (FLN), phenanthrene (Phe), and pyrene (Pyr) has become an increasingly serious issue in recent years. Consequently, finding effective methods to remove these pollutants from aquatic environments is of paramount importance. This study investigated the removal of FLN, Phe, and Pyr from simulated wastewater using persulfate (PS) and explored the effects of PS catalyzed by three different forms of schwertmannite (sch): sch-1, sch-2, and sch@BC (schwertmannite-biochar composite). Results showed varying removal rates after a 1-hour reaction time for different treatments: For FLN: sch-1+PS (98.5%), sch-2+PS (54.2%), sch@BC+PS (21.1%), and PS alone (14.8%). For Phe: sch-1+PS (94.3%), sch-2+PS (44.1%), sch@BC+PS (28.4%), and PS alone (7.6%). For Pyr: sch-1+PS (97.2%), sch-2+PS (52.5%), sch@BC+PS (14.2%), and PS alone (1.7%). Among the catalysts tested, sch-2 (added 0.36 mL H2O2 five times) demonstrated excellent catalytic ability in enhancing PS removal of FLN, Phe, and Pyr. This research provides theoretical support for treating polycyclic aromatic hydrocarbon (PAH)-containing wastewater via persulfate oxidation catalyzed by schwertmannite.</div></div></div><div style="display:none;" class="absolute right-0 bottom-0"><span><span class="inline-block align-middle w-6 h-4 bg-gradient-to-r from-transparent to-white"></span><span class="bg-white">... </span></span><button class="m-button m-button--sm m-button--tertiary rounded !inline-flex after:hidden bg-white" type="button"><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center">Show more <svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="keyboard_arrow_down" style="" width="16" height="16" viewBox="0 0 16 16"></svg></span></button></div></div><div class="pt-sm text-color-subtle flex gap-x-sm gap-y-sm flex-col lg:flex-row" data-v-240dfb06><p class="m-text text-sm" data-v-240dfb06> Posted: 25 November 2024</p><p class="m-text text-sm underline cursor-pointer" data-v-240dfb06><a href="https://doi.org/10.20944/preprints202411.1846.v1" rel="noopener noreferrer" data-v-240dfb06><span data-v-240dfb06>https://doi.org/</span>10.20944/preprints202411.1846.v1</a></p></div></div><div data-v-240dfb06></div></div><div data-v-240dfb06><div class="border-b border-color-default pb-md mb-sm" data-v-240dfb06><div class="pt-md lg:pt-lg lg:flex justify-between space-y-xs" data-v-240dfb06><div class="flex flex-wrap gap-x-xs gap-y-xs" data-v-240dfb06><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 bg-content-subtler text-color-default px-2 !bg-surface-disabled" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Article</span></div><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 border border-color-bold px-2 text-color-subtlest" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Environmental Science</span></div><div class="m-tag flex items-center gap-2 rounded py-0.5 h-6 border border-color-bold px-2 text-color-subtlest" data-v-240dfb06><span class="flex items-center whitespace-nowrap text-xs leading-normal">Environmental and Earth Sciences</span></div></div><div class="flex" data-v-240dfb06><button class="m-button m-button--sm m-button--tertiary rounded mr-md after:hidden" type="button" data-v-240dfb06><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="download" style="" width="16" height="16" viewBox="0 0 16 16" data-v-240dfb06></svg> Download PDF </span></button><button class="m-button m-button--sm m-button--tertiary rounded after:hidden" type="button" data-v-240dfb06><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="format_quote" style="" width="16" height="16" viewBox="0 0 16 16" data-v-240dfb06></svg> Cite </span></button></div></div><a href="/manuscript/202411.1877/v1" class="" data-v-240dfb06><h5 class="m-heading text-inherit m-h5 font-normal pt-sm hover:text-color-link-bold" data-v-240dfb06>Creating Urban Landscape Typology That Facilitates the Integration of Urban Ecological Knowledge into Practice</h5></a><div class="flex pt-sm flex-wrap gap-sm" data-v-240dfb06><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Mahyar Masoudi<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Daniel R. Richards<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Mark J. McDonnell<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Tiangang Yin<span data-v-240dfb06>,</span></p></div><div class="flex items-center" data-v-240dfb06><p class="m-text text-sm text-color-subtlest" data-v-240dfb06>Puay Yok Tan</p></div></div><div class="w-full relative overflow-hidden pt-sm" data-v-240dfb06><div><div class="clamp-3"><div class="inline abstract-content" data-v-240dfb06>Abstract: Urban landscapes are highly heterogeneous but possess recurrent, distinguishable features known as urban landscape types, which exhibit distinct social and environmental performance, and collectively form an urban landscape typology (ULT). ULT is useful as they can aid decision-making in urban planning, predicting the impact of various development proposals. Past attempts to develop ULT overlooked important land features including land use. We developed a conceptual framework based upon the recent literature, and operationalized it using Singapore, an archetypical compact city. Fourteen geospatial variables representing five main components of urban landscapes (land cover composition and configuration, land use, building density, and elevation) were used in a heuristic process to construct a series of models using varying clustering algorithms, coupled with adjustments utilizing contextual knowledge. Models were then tested for their performance regarding practical and environmental relevance. Our results identify ten distinguishable landscape types in Singapore. The six variables that were used in characterizing the UTL were: percent impervious surface, land cover diversity, land use diversity, building density, elevation, and percent water. Initial inspection against Google Earth, followed by a systematic validation exercise by urban planning and design students and professionals confirmed that the ten landscape types adequately correspond to distinguishable urban forms. The ULT were also examined for their ability to estimate land surface temperature (LST) as an environmental performance example; our results demonstrated that all landscape types had significantly different LSTs. We believe that our ULT and the methodological approach we adopted can assist in integrating urban ecological knowledge into practice.</div></div><div class="invisible absolute"><div class="inline abstract-content" data-v-240dfb06>Abstract: Urban landscapes are highly heterogeneous but possess recurrent, distinguishable features known as urban landscape types, which exhibit distinct social and environmental performance, and collectively form an urban landscape typology (ULT). ULT is useful as they can aid decision-making in urban planning, predicting the impact of various development proposals. Past attempts to develop ULT overlooked important land features including land use. We developed a conceptual framework based upon the recent literature, and operationalized it using Singapore, an archetypical compact city. Fourteen geospatial variables representing five main components of urban landscapes (land cover composition and configuration, land use, building density, and elevation) were used in a heuristic process to construct a series of models using varying clustering algorithms, coupled with adjustments utilizing contextual knowledge. Models were then tested for their performance regarding practical and environmental relevance. Our results identify ten distinguishable landscape types in Singapore. The six variables that were used in characterizing the UTL were: percent impervious surface, land cover diversity, land use diversity, building density, elevation, and percent water. Initial inspection against Google Earth, followed by a systematic validation exercise by urban planning and design students and professionals confirmed that the ten landscape types adequately correspond to distinguishable urban forms. The ULT were also examined for their ability to estimate land surface temperature (LST) as an environmental performance example; our results demonstrated that all landscape types had significantly different LSTs. We believe that our ULT and the methodological approach we adopted can assist in integrating urban ecological knowledge into practice.</div></div></div><div style="display:none;" class="absolute right-0 bottom-0"><span><span class="inline-block align-middle w-6 h-4 bg-gradient-to-r from-transparent to-white"></span><span class="bg-white">... </span></span><button class="m-button m-button--sm m-button--tertiary rounded !inline-flex after:hidden bg-white" type="button"><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center">Show more <svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="keyboard_arrow_down" style="" width="16" height="16" viewBox="0 0 16 16"></svg></span></button></div></div><div class="pt-sm text-color-subtle flex gap-x-sm gap-y-sm flex-col lg:flex-row" data-v-240dfb06><p class="m-text text-sm" data-v-240dfb06> Posted: 25 November 2024</p><p class="m-text text-sm underline cursor-pointer" data-v-240dfb06><a href="https://doi.org/10.20944/preprints202411.1877.v1" rel="noopener noreferrer" data-v-240dfb06><span data-v-240dfb06>https://doi.org/</span>10.20944/preprints202411.1877.v1</a></p></div></div><div data-v-240dfb06></div></div><div class="m-pagination flex items-center gap-md pt-lg"><button disabled class="m-button m-button--lg m-button--secondary m-button--disabled rounded !pl-sm" type="button" data-testid="prev-button"><span class="inline-flex h-full w-full items-center gap-2 whitespace-nowrap justify-center"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" data-testid="chevron_left" style="" width="24" height="24" viewBox="0 0 16 16"></svg><span>Prev</span><span class="sr-only">Go to previous page</span></span></button><div class="m-input common-field m-input--filled max-w-[5rem] [&_input]:text-center"><div class="common-field__wrapper m-input__label"><div 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data-ssr="true">[["ShallowReactive",1],{"data":2,"state":593,"once":602,"_errors":603,"serverRendered":6,"path":605,"pinia":606},["ShallowReactive",3],{"blog-config":4,"strapi-config":39,"Ya7hZzqdE7":40,"mgOlEjP40X":120,"8nSXcIhXGG":123,"gBTsLfkds5":497,"TmtU4PTvWw":547},{"postsPerPage":5,"isInfinite":6,"cacheTime":7,"categories":8},9,true,1,[9,14,19,24,29,34],{"id":10,"title":11,"cacheKey":12,"href":13},288,"Learn about Preprints","288-posts","/blog/category/learn-about-preprints",{"id":15,"title":16,"cacheKey":17,"href":18},1383,"Platform Features","1383-posts","/blog/category/platform-features",{"id":20,"title":21,"cacheKey":22,"href":23},22,"Community Content","22-posts","/blog/category/community-content",{"id":25,"title":26,"cacheKey":27,"href":28},1351,"Featured Preprints","1351-posts","/blog/category/featured-preprints",{"id":30,"title":31,"cacheKey":32,"href":33},1380,"Preprints and 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Uncover the depths of human expression, history, and thought across disciplines like archaeology, literature, and philosophy. Explore diverse perspectives that enrich our understanding of cultural heritage and the human experience.","arts-and-humanities",{"id":52,"name":53,"name_system":54,"parent_id":47,"image_banner":55,"description":56,"converted_name_system":57},16,"Biology and Life Sciences","biology_and_life_sciences","https://www.preprints.org/media/cache/resolve/webp/upload/subject/2024-11-07/8d795777f5834c04ac4b98f9c94c4c6b.jpg","Journey into the intricate world of living organisms with our preprints. From molecular mechanisms to ecosystem interactions, discover the wonders of life and the natural world through cutting-edge research. Dive into the forefront of biological discovery and explore the complexities of our living world.","biology-and-life-sciences",{"id":59,"name":60,"name_system":61,"parent_id":47,"image_banner":62,"description":63,"converted_name_system":64},41,"Business, Economics and Management","business_economics_and_management","https://www.preprints.org/media/cache/resolve/webp/upload/subject/2024-11-07/ab197ef385773a30f4650e40ae8f03d5.jpg","Explore the dynamic world of business operations, economic theories, and organizational leadership with our preprints. Uncover insights in business, economics, and management that shape global commerce and innovation. Stay informed on the latest trends and research driving the landscape of business and economics.","business-economics-and-management",{"id":66,"name":67,"name_system":68,"parent_id":47,"image_banner":69,"description":70,"converted_name_system":71},50,"Chemistry and Materials Science","chemistry_and_materials_science","https://www.preprints.org/media/cache/resolve/webp/upload/subject/2024-11-07/cc2a7d5d84540df918315b4feb38028a.jpg","Unravel the mysteries of matter and its transformations with our preprints. From atomic structures to novel material synthesis, stay informed on the latest research in this fascinating field. Explore the diverse properties and applications of chemistry and materials science that shape our world.","chemistry-and-materials-science",{"id":73,"name":74,"name_system":75,"parent_id":47,"image_banner":76,"description":77,"converted_name_system":78},71,"Computer Science and Mathematics","computer_science_and_mathematics","https://www.preprints.org/media/cache/resolve/webp/upload/subject/2024-11-07/5b0a41a25a67d1112cb8833b497bf7be.jpg","Embark on a journey through the foundational principles of algorithms, artificial intelligence, and mathematical theories with our preprints. Explore cutting-edge research in computational mathematics and data analysis that drives innovation in the digital age. Dive into a world of innovation and discovery in this exciting field.","computer-science-and-mathematics",{"id":80,"name":81,"name_system":82,"parent_id":47,"image_banner":83,"description":84,"converted_name_system":82},94,"Engineering","engineering","https://www.preprints.org/media/cache/resolve/webp/upload/subject/2024-11-07/908d2aac5be9f3be128d20cc98154c17.jpg","Explore the diverse realms of engineering with our preprints, where innovation meets expertise across various disciplines. From industrial processes to energy technologies, delve into the forefront of engineering advancements. 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Explore the latest trends in healthcare that impact population well-being and equity.","public-health-and-healthcare",{"id":114,"name":115,"name_system":116,"parent_id":47,"image_banner":117,"description":118,"converted_name_system":119},193,"Social Sciences","social_sciences","https://www.preprints.org/media/cache/resolve/webp/upload/subject/2024-09-12/910c960e3a6808861523728f0f26b2df.png","Gain insights into human behavior, societies, and cultures with our preprints. Explore disciplines like psychology, sociology, and political science, which shape our world and inform public policy. Stay engaged with research that explores social issues, cultural dynamics, and economic systems, enriching our understanding of human interactions.","social-sciences",{"code":41,"msg":42,"data":121},{"url":122},"https://www.preprints.org/rss",{"code":41,"msg":124,"data":125},"",{"total":126,"rows":127,"filters":430},5873,[128,157,185,219,256,283,310,344,374,403],{"views":41,"true_downloads":41,"true_views":41,"downloads":41,"id":129,"version":7,"hash_key":130,"article_type":131,"subject":132,"top_subject":87,"title":133,"abstract":134,"keywords":135,"doi":136,"published_at":137,"download_url":138,"like_url":139,"authors":140,"score":7,"liked":156},"202411.2045","32103964dadf75e8dd3dd5f0a407aa47","Article","Waste Management and Disposal","Simulation of Groundwater-Level Behavior in South-East Region of Korea Induced by the 2016 Gyeongju Earthquake Using 2D Hydro-Mechanical Coupled Bonded Particle Modelling","This study examines the hydrogeological response to seismic activity in the southeastern region of Korea, focusing on groundwater-level changes induced by the 2016 Gyeongju earthquake (ML 5.8). Using a 2D hydro-mechanical coupled bonded particle model, we simulated the dynamic fault rupture process to analyze stress redistribution and its impact on pore pressure and groundwater levels. The results indicate that compressional areas correlate strongly with pore pressure increases and groundwater-level rises, while extensional areas show decreases in both. Observations from the groundwater monitoring well at Gyeongju Cheonbuk, located approximately 10 km north of the earthquake’s epicenter, align well with the model's predictions, providing validation for the simulation. These findings highlight the capability of hydro-mechanical models to capture fault-induced hydrological responses and offer valuable insights into the interplay between seismic activity and groundwater systems.","Gyeongju earthquake; Fault dynamic rupture; Groundwater level; Discrete Element Modelling","10.20944/preprints202411.2045.v1","2024-11-27T00:59:58Z","/frontend/manuscript/32103964dadf75e8dd3dd5f0a407aa47/download_pub","/frontend/user/manuscript/32103964dadf75e8dd3dd5f0a407aa47/like_toggle",[141,144,147,150,153],{"name":142,"email":143},"Hyunjin Cho","hyunjinc@korad.or.kr",{"name":145,"email":146},"Se-Yeong Hamm","hsy@pusan.ac.kr",{"name":148,"email":149},"Jeoung Seok Yoon","js.yoon@dynafrax.com",{"name":151,"email":152},"Soo-Gin Kim","point0410@korad.or.kr",{"name":154,"email":155},"Jae-Yeol Cheong","jjy@korad.or.kr",false,{"views":7,"true_downloads":158,"true_views":7,"downloads":158,"id":159,"version":7,"hash_key":160,"article_type":131,"subject":87,"top_subject":161,"title":162,"abstract":163,"keywords":164,"doi":165,"published_at":166,"download_url":167,"like_url":168,"authors":169,"score":7,"liked":156},2,"202411.2042","0aab33d02e701a7d8cd167ead6ccac66","Ecology","Impact of Multi-Scenario Land-Use Changes on Habitat Quality Evolution in the Yangtze River Economic Belt","\u003Cp>Ecosystems worldwide are facing significant challenges resulting from the dual pressures of global climate change and human activities, particularly in terms of significant biodiversity loss associated with land-use change. Focusing on the Yangtze River Economic Belt (YREB), this study uses the System Dynamics (SD) - Patch-generating Land Use Simulation (PLUS) model to simulate land-use development under different scenarios of shared socio-economic pathways (SSPs) and representative concentration pathways (RCPs) from 2030 to 2050. Furthermore, the InVEST model is applied to evaluate changes in habitat quality (HQ) over the period 2000 to 2050. A hotspot analysis further highlights the spatial heterogeneity of HQ within the YREB. The study showed that the land-use pattern in the YREB from 2020 to 2050 will be dominated by cropland in the eastern region, grassland in the north-west, and forest land in the central and southern regions, with a steady increase in built-up land in the east. The HQ index exhibits a gradual increase from east to west, ultimately declining to 0.726 under the SSP585 scenario for 2050. This trend reflects moderate habitat degradation (HD), with the degree of degradation shifting towards lower and higher proportions of HQ. Spatial analysis of HQ further reveals that the eastern region is identified as a cold spot, the central region is categorized as non-significant, while the western region emerges as a hot spot, where HQ exceeds 40%. These findings offer a scientific foundation for promoting high-quality development and enhancing biodiversity conservation in the YREB.\u003C/p>","Habitat quality; SD model; PLUS model; InVEST model; SSP-RCP scenarios; Yangtze River Economic Belt","10.20944/preprints202411.2042.v1","2024-11-26T13:30:35Z","/frontend/manuscript/0aab33d02e701a7d8cd167ead6ccac66/download_pub","/frontend/user/manuscript/0aab33d02e701a7d8cd167ead6ccac66/like_toggle",[170,173,176,179,182],{"name":171,"email":172},"BoWen Dong","bowendong@cug.edu.cn",{"name":174,"email":175},"Tiantian Huang","htt1102@126.com",{"name":177,"email":178},"Tao Tang","hbjyted@hbue.edu.cn",{"name":180,"email":181},"Delin Huang","dlhuang1030@163.com",{"name":183,"email":184},"Chen Tang","1079509802@qq.com",{"views":158,"true_downloads":186,"true_views":158,"downloads":186,"id":187,"version":7,"hash_key":188,"article_type":131,"subject":87,"top_subject":189,"title":190,"abstract":191,"keywords":192,"doi":193,"published_at":194,"download_url":195,"like_url":196,"authors":197,"score":7,"liked":156},3,"202411.1936","70cd6f9fca22e810c83e2c48abccd353","Atmospheric Science and Meteorology","Considerations on UAS-Based In-Situ Weather Sensing in Winter Precipitation Environments","Freezing rain and freezing drizzle can produce nearly undetectable hazards with potentially catastrophic consequences for aircraft within low altitudes (e.g., the terminal area). However, the lack of direct observations of the low-altitude freezing precipitation environment creates a challenge for forecasters, flight crews, dispatchers, and air traffic controllers. This research demonstrates how unmanned aerial vehicles (UAVs) can be designed and instrumented to create unmanned aerial weather measurement systems (WxUAS) capable of characterizing the low-altitude freezing precipitation environment and providing insight into the mechanisms that govern it. This article discusses the design considerations for WxUAS-based in-situ sampling in active precipitation, results from controlled experiments at the Oklahoma Mesonet’s calibration laboratory, as well as results from intercomparison studies with collocated well-established ground-based instruments in Oklahoma and Colorado. Additionally, we explore the insights provided by high-resolution thermodynamic and particle size distribution profiles and their potential contributions to a better understanding of the low-altitude freezing precipitation environment.","UAV; UAS; WxUAS; Weather; Winter; Precipitation; Sensor; In-situ","10.20944/preprints202411.1936.v1","2024-11-26T12:50:35Z","/frontend/manuscript/70cd6f9fca22e810c83e2c48abccd353/download_pub","/frontend/user/manuscript/70cd6f9fca22e810c83e2c48abccd353/like_toggle",[198,201,204,207,210,213,216],{"name":199,"email":200},"Gustavo Britto Hupsel de Azevedo","gus@okstate.edu",{"name":202,"email":203},"Alyssa Avery","alysssa@okstate.edu",{"name":205,"email":206},"David Schvartzman","dschvart@ou.edu",{"name":208,"email":209},"Scott Landolt","landolt@ucar.edu",{"name":211,"email":212},"Stephanie DiVito","stephanie.divito@faa.gov",{"name":214,"email":215},"Braydon Revard","braydon.revard@okstate.edu",{"name":217,"email":218},"Jamey D. Jacob","jdjacob@okstate.edu",{"views":186,"true_downloads":220,"true_views":186,"downloads":220,"id":221,"version":7,"hash_key":222,"article_type":131,"subject":87,"top_subject":223,"title":224,"abstract":225,"keywords":226,"doi":227,"published_at":228,"download_url":229,"like_url":230,"authors":231,"score":7,"liked":156},4,"202411.2018","9cb05dbeed24fd9b3494463b01868aa5","Remote Sensing","Estimating Carbon Storage in Tree Stem Biomass of Mixed Boreal Forest Using UAV LiDAR Data","The inventory of carbon stocks in forests and the assessment of their spatio-temporal variability is a crucial task in the context of climate change and the search for adaptation strategies, as noted at both international and national levels. Since 2022, Russia has been implementing the project “Rhythm of Carbon”, one of the main goals of which is the assessment of carbon stocks in forests on permanent sites, which should be further upscaled using remote methods. We conducted the assessment of carbon stocks in tree stem biomass in a mixed boreal forest at the “Mukhrino” field station (West Siberia) using a comprehensive approach based on UAV LiDAR surveys and ground verification. Allometric models based on an ensemble approach and stochastic modeling were used to assess the relationship between ground-determined wood biomass stocks and tree height obtained via LiDAR. We obtained sufficient agreement between ground-based and remote assessments of tree heights, their number, and carbon stocks, which averaged 54 ± 11 t/ha. However, the LiDAR assessment conducted from a flight altitude of 120 meters does not account for understory trees due to the high canopy closure and systematically underestimates the number of overstory trees, which was compensated for using a correction factor.","forest inventory; allometric models; stochastic modeling","10.20944/preprints202411.2018.v1","2024-11-26T12:37:15Z","/frontend/manuscript/9cb05dbeed24fd9b3494463b01868aa5/download_pub","/frontend/user/manuscript/9cb05dbeed24fd9b3494463b01868aa5/like_toggle",[232,235,238,241,244,247,250,253],{"name":233,"email":234},"Danil V. Ilyasov","d_ilyasov@ugrasu.ru",{"name":236,"email":237},"Mikhail V. Glagolev","m_glagolev@ugrasu.ru",{"name":239,"email":240},"Albina A. Ernova","a_ernova@ugrasu.ru",{"name":242,"email":243},"Alexandr A. Kaverin","a_kaverin@ugrasu.ru",{"name":245,"email":246},"Valeriya A. Rusakova","v_rusakova@ugrasu.ru",{"name":248,"email":249},"Artur V. Kondratenko","a_kondratenko@ugrasu.ru",{"name":251,"email":252},"Iuliia V. Kupriianova","y_kupriyanova@ugrasu.ru",{"name":254,"email":255},"Mikhail F. Kulyabin","m_kulyabin@ugrasu.ru",{"views":186,"true_downloads":220,"true_views":186,"downloads":220,"id":257,"version":7,"hash_key":258,"article_type":131,"subject":87,"top_subject":259,"title":260,"abstract":261,"keywords":262,"doi":263,"published_at":264,"download_url":265,"like_url":266,"authors":267,"score":7,"liked":156},"202411.1950","56db7ddfcc9f6a8c0b701bc9ac9cc672","Environmental Science","From Microalgae to Biofuels: Investigating Valorization Pathways Towards Biorefinery Integration","The rapid growth of the world population led to an exponential growth in industrial activity all around the world. Consequently, CO2 emissions have risen almost 400% since 1950 due to human activities. Considering that microalgae biomass is recognized as a renewable feedstock to produce third generation biofuels and bioenergy, the scope of the present research was to investigate al-ternative routes to produce bioethanol and biomethane in laboratory scale from dried algae biomass. The first step was to evaluate and optimize the production of sugars from the received biomass. Thus, three different techniques with three different solvents were tested to identify the most ef-fective and efficient in terms of saccharification yield. With the assistance of an autoclave or a high temperature water bath and 0.2M NaOH as a solvent, yields of 79.16 ± 3.03% and 85.73 ± 3.23% were achieved which correspond to 9.24 and 9.80 g/L of glucose respectively. Furthermore, the most efficient method from the pretreatment step was chosen to carry out a factorial design to produce bioethanol. The experiments showed that the loading of cellulase was of crucial importance to the optimization of the process. Regarding the ethanol yields obtained, the highest was 76.12 ± 4.90% with a concentration of 4.40 ± 0.28 g/L (0.3 Μ NaOH, 750 μL/gcellulose and 65 μL/gstarch). In addition, the stillages derived from the fermentation broth were assessed through a BMP test to evaluate their biomethane potential. They exhibited increased biomethane yields in comparison with the untreated feedstock. The highest methane yield recorded was 217.88 ± 10.40 mL/gVS. Finally, the energy that could be produced if both products (bioethanol and biomethane) were valorized, was evaluated. The analysis showed that up to 1044.48 kWh/tn of algae feedstock could be produced, with the biomethane production contributing 75.26% to the total energy output.","Bioethanol; biomethane; enzymatic hydrolysis; microalgae","10.20944/preprints202411.1950.v1","2024-11-26T12:26:30Z","/frontend/manuscript/56db7ddfcc9f6a8c0b701bc9ac9cc672/download_pub","/frontend/user/manuscript/56db7ddfcc9f6a8c0b701bc9ac9cc672/like_toggle",[268,271,274,277,280],{"name":269,"email":270},"Panagiotis Fotios Chatzimaliakas","pf_chatzimaliakas@mail.ntua.gr",{"name":272,"email":273},"Ermis Koutsaftis-Fragkos","ermis-2@hotmail.com",{"name":275,"email":276},"Sofia Mai","mai@central.ntua.gr",{"name":278,"email":279},"Dimitris Malamis","dimitrios.malamis@brunel.ac.uk",{"name":281,"email":282},"Elli Maria Barampouti","belli@central.ntua.gr",{"views":284,"true_downloads":220,"true_views":284,"downloads":220,"id":285,"version":7,"hash_key":286,"article_type":131,"subject":87,"top_subject":259,"title":287,"abstract":288,"keywords":289,"doi":290,"published_at":291,"download_url":292,"like_url":293,"authors":294,"score":7,"liked":156},5,"202411.1935","652310eb9ebf71cd11fbf48f23a186ca","A Perspective on Optimizing the Productive and Environmental Performance in Southern Italian Olive Groves: Analyzing the Impact of Organic Fertilizers and Seasonal Irrigation Management on Yield, Water Footprint, and Water Efficiency","This study investigates the impact of various irrigation regimes and organic fertilizers on olive cultivation productivity and environmental sustainability. Experimental results showed that olive trees fertilized with biochar yielded an average of 2640 kg ha-1, while those fertilized with a commercial product based on dry blood resulted in lower yields of 1820 kg ha-1. Significant productivity gains were observed under irrigation, particularly with the fully watered regime, which nearly doubled yields compared to non-irrigated trees. The study also highlighted the influence of irrigation on water use efficiency, with water consumption metrics varying notably among different fertilization treatments. The water footprint analysis indicated that the most sustainable option, characterized by the lowest water footprint, did not consistently align with productivity gains, emphasizing the need for integrated management strategies. An analysis of marginal irrigation use efficiency revealed that optimizing irrigation volumes improved productivity while providing substantial water savings. A scoring system was employed to standardize various parameters, enabling direct comparisons of irrigation and fertilization treatments. Ultimately, the results suggested that biochar, in combination with deficit irrigation strategies, could enhance both productivity and sustainability in olive farming, with the strategy of ceasing irrigation at the pit hardening phase achieving the highest aggregated score for management effectiveness. These findings underscore the importance of optimizing irrigation and fertilization practices to promote environmentally sustainable agricultural systems in Mediterranean climates.","Keywords water use; CropWat; aggregated metric; sustainability","10.20944/preprints202411.1935.v1","2024-11-26T11:18:32Z","/frontend/manuscript/652310eb9ebf71cd11fbf48f23a186ca/download_pub","/frontend/user/manuscript/652310eb9ebf71cd11fbf48f23a186ca/like_toggle",[295,298,301,304,307],{"name":296,"email":297},"Pasquale Garofalo","rita.leogrande@crea.gov.it",{"name":299,"email":300},"Liliana Gaeta","liliana.gaeta@crea.gov.it",{"name":302,"email":303},"Carolina Vitti","carolina.vitti@crea.gov.it",{"name":305,"email":306},"Luisa Giglio","luisa.giglio@crea.gov.it",{"name":308,"email":309},"Rita Leogrande","pasquale.garofalo@crea.gov.it",{"views":311,"true_downloads":312,"true_views":311,"downloads":312,"id":313,"version":7,"hash_key":314,"article_type":131,"subject":87,"top_subject":189,"title":315,"abstract":316,"keywords":317,"doi":318,"published_at":319,"download_url":320,"like_url":321,"authors":322,"score":7,"liked":156},6,8,"202411.1884","692a8e233c94d8dbd0bf31ccd7d6f964","Giant Aerosol Observations with Cloud Radar: Methodology and Effects","In this study, an innovative methodology for the identification of giant aerosols using cloud radar is introduced. The methodology makes use of several insects studies and is applied to a 6-year long cloud radar dataset in Potenza, South Italy. 40 giant aerosol events per year were found and are in good agreement with the site’s climatological record. A sensitivity study on the effects of the giant aerosols on three atmospheric variables and under different atmospheric stability conditions showed that the presence of giant aerosols: a) increased the Aerosol Optical Depth in all the atmospheric stability conditions, b) decreased the Ångström exponent for the highest and lowest stability conditions and had the opposite effect for the intermediate stability condition, and c) increased the accumulated precipitation in all the atmospheric conditions, specially in the most unstable ones.","giant aerosols; cloud radar; aerosols; CCN; GCCN; dust; long-range transport","10.20944/preprints202411.1884.v1","2024-11-26T02:46:18Z","/frontend/manuscript/692a8e233c94d8dbd0bf31ccd7d6f964/download_pub","/frontend/user/manuscript/692a8e233c94d8dbd0bf31ccd7d6f964/like_toggle",[323,326,329,332,335,338,341],{"name":324,"email":325},"Pilar Gumà-Claramunt","pilar.gumaclaramunt@cnr.it",{"name":327,"email":328},"Fabio Madonna","fmadonna@unisa.it",{"name":330,"email":331},"Aldo Amodeo","aldo.amodeo@cnr.it",{"name":333,"email":334},"Matthias Bauer-Pfundstein","bauer@metek.de",{"name":336,"email":337},"Nikolaos Papagiannopoulos","nikolaos.papagiannopoulos@cnr.it",{"name":339,"email":340},"Marco Rosoldi","marco.rosoldi@cnr.it",{"name":342,"email":343},"Gelsomina Pappalardo","gelsomina.pappalardo@cnr.it",{"views":345,"true_downloads":345,"true_views":345,"downloads":345,"id":346,"version":7,"hash_key":347,"article_type":131,"subject":87,"top_subject":223,"title":348,"abstract":349,"keywords":350,"doi":351,"published_at":352,"download_url":353,"like_url":354,"authors":355,"score":7,"liked":156},7,"202411.1923","207b3f2ecdad1407b0e879b690e2b35d","Downscaling of Remote Sensing Soil Moisture Products That Integrate Microwave and Optical Data","Soil moisture is a key variable that affects ecosystem carbon and water cycles and that can \ndirectly affect climate change. Remote sensing is the best way to obtain global soil moisture data. \nCurrently, soil moisture remote sensing products have coarse spatial resolution, which limits their \napplication in agriculture, the ecological environment, and urban planning. Soil moisture \ndownscaling methods rely mainly on optical data. Affected by weather, the spatial discontinuity of \noptical data has a greater impact on the downscaling results. The synthetic aperture radar (SAR) \nbackscatter coefficient is strongly correlated with soil moisture. This study was based on the Google \nEarth Engine (GEE) platform, integrates Moderate-Resolution Imaging Spectroradiometer (MODIS) \noptical and SAR backscattering coefficients, uses machine learning methods to downscale the soil \nmoisture product, reducing the original soil moisture with a resolution of 10 km to 1 km and 100 m. \nThe downscaling results were verified using in situ soil moisture observation data from the \nShandian River and Wudaoliang. The results show that in the two study areas, the downscaling \nresults after adding SAR backscattering coefficients are better than before. In Shandian River, the R \nincreases from 0.28 to 0.42. In Wudaoliang, the R increases from 0.54 to 0.70. The RMSEs are \n0.03(cm3/cm3). The downscaled soil moisture products play an important role in water resource \nmanagement, natural disaster monitoring, ecological and environmental protection, and other fields. \nIn the monitoring and management of natural disasters such as droughts and floods, it can provide \nkey information support for decision makers and help formulate more effective emergency response \nplans. During droughts, affected areas can be identified in a timely manner, and the allocation and \nscheduling of water resources can be optimized, thereby reducing agricultural losses.","Downscaling; Google Earth Engine; Machine learning; Data integration; Soil moisture","10.20944/preprints202411.1923.v1","2024-11-25T22:19:00Z","/frontend/manuscript/207b3f2ecdad1407b0e879b690e2b35d/download_pub","/frontend/user/manuscript/207b3f2ecdad1407b0e879b690e2b35d/like_toggle",[356,359,362,365,368,371],{"name":357,"email":358},"Jie Wang","212204020019@home.hpu.edu.cn",{"name":360,"email":361},"Huazhu Xue","xhz@hpu.edu.cn",{"name":363,"email":364},"Guotao Dong","dongguotao001@163.com",{"name":366,"email":367},"Qian Yuan","hpuyqian@163.com",{"name":369,"email":370},"Ruirui Zhang","zhangruirui@home.hpu.edu.cn",{"name":372,"email":373},"Runsheng Jing","jrs@home.hpu.edu.cn",{"views":375,"true_downloads":376,"true_views":375,"downloads":376,"id":377,"version":7,"hash_key":378,"article_type":131,"subject":87,"top_subject":379,"title":380,"abstract":381,"keywords":382,"doi":383,"published_at":384,"download_url":385,"like_url":386,"authors":387,"score":7,"liked":156},12,11,"202411.1846","62eadc2150994a98f58d3755a0b3a0bd","Water Science and Technology","The Special Hydrated Iron Oxyhydroxide for Catalyzing Persulfate to Control the Chemical Wastewater Contained Fluoranthene, Phenanthrene and Pyrene","Water pollution caused by fluoranthene (FLN), phenanthrene (Phe), and pyrene (Pyr) has become an increasingly serious issue in recent years. Consequently, finding effective methods to remove these pollutants from aquatic environments is of paramount importance. This study investigated the removal of FLN, Phe, and Pyr from simulated wastewater using persulfate (PS) and explored the effects of PS catalyzed by three different forms of schwertmannite (sch): sch-1, sch-2, and sch@BC (schwertmannite-biochar composite). Results showed varying removal rates after a 1-hour reaction time for different treatments: For FLN: sch-1+PS (98.5%), sch-2+PS (54.2%), sch@BC+PS (21.1%), and PS alone (14.8%). For Phe: sch-1+PS (94.3%), sch-2+PS (44.1%), sch@BC+PS (28.4%), and PS alone (7.6%). For Pyr: sch-1+PS (97.2%), sch-2+PS (52.5%), sch@BC+PS (14.2%), and PS alone (1.7%). Among the catalysts tested, sch-2 (added 0.36 mL H2O2 five times) demonstrated excellent catalytic ability in enhancing PS removal of FLN, Phe, and Pyr. This research provides theoretical support for treating polycyclic aromatic hydrocarbon (PAH)-containing wastewater via persulfate oxidation catalyzed by schwertmannite.","hydrated iron oxyhydroxide (schwertmannite); persulfate, bamboo biochar; polycyclic aromatic hydrocarbons; adsorption","10.20944/preprints202411.1846.v1","2024-11-25T10:08:51Z","/frontend/manuscript/62eadc2150994a98f58d3755a0b3a0bd/download_pub","/frontend/user/manuscript/62eadc2150994a98f58d3755a0b3a0bd/like_toggle",[388,391,394,397,400],{"name":389,"email":390},"Yanyan Wang","wang.y.817@ms.saitama-u.ac.jp",{"name":392,"email":393},"Weiqian Wang","weiqian@mail.saitama-u.ac.jp",{"name":395,"email":396},"Fenwu Liu","liufenwu@sxau.edu.cn",{"name":398,"email":399},"Qingyue Wang","seiyo@mail.saitama-u.ac.jp",{"name":401,"email":402},"Shangrong Wu","wu.s.784@ms.saitama-u.ac.jp",{"views":311,"true_downloads":404,"true_views":311,"downloads":404,"id":405,"version":7,"hash_key":406,"article_type":131,"subject":87,"top_subject":259,"title":407,"abstract":408,"keywords":409,"doi":410,"published_at":411,"download_url":412,"like_url":413,"authors":414,"score":7,"liked":156},10,"202411.1877","3e88b06d451078d297b56ef920f40ddf","Creating Urban Landscape Typology That Facilitates the Integration of Urban Ecological Knowledge into Practice","Urban landscapes are highly heterogeneous but possess recurrent, distinguishable features known as urban landscape types, which exhibit distinct social and environmental performance, and collectively form an urban landscape typology (ULT). ULT is useful as they can aid decision-making in urban planning, predicting the impact of various development proposals. Past attempts to develop ULT overlooked important land features including land use. We developed a conceptual framework based upon the recent literature, and operationalized it using Singapore, an archetypical compact city. Fourteen geospatial variables representing five main components of urban landscapes (land cover composition and configuration, land use, building density, and elevation) were used in a heuristic process to construct a series of models using varying clustering algorithms, coupled with adjustments utilizing contextual knowledge. Models were then tested for their performance regarding practical and environmental relevance. Our results identify ten distinguishable landscape types in Singapore. The six variables that were used in characterizing the UTL were: percent impervious surface, land cover diversity, land use diversity, building density, elevation, and percent water. Initial inspection against Google Earth, followed by a systematic validation exercise by urban planning and design students and professionals confirmed that the ten landscape types adequately correspond to distinguishable urban forms. The ULT were also examined for their ability to estimate land surface temperature (LST) as an environmental performance example; our results demonstrated that all landscape types had significantly different LSTs. We believe that our ULT and the methodological approach we adopted can assist in integrating urban ecological knowledge into practice.","urban landscape typology; urban form; urban ecology; urban planning; urban design; compact city; environmental remote sensing","10.20944/preprints202411.1877.v1","2024-11-25T09:33:44Z","/frontend/manuscript/3e88b06d451078d297b56ef920f40ddf/download_pub","/frontend/user/manuscript/3e88b06d451078d297b56ef920f40ddf/like_toggle",[415,418,421,424,427],{"name":416,"email":417},"Mahyar Masoudi","mahyar.masoudi@mun.ca",{"name":419,"email":420},"Daniel R. Richards","richardsd@landcareresearch.co.nz",{"name":422,"email":423},"Mark J. 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