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variability</title> <meta name="description" content="Search results for: spatial variability"> <meta name="keywords" content="spatial variability"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="spatial variability"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 3245</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: spatial variability</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3245</span> The Effect of Spatial Variability on Axial Pile Design of Closed Ended Piles in Sand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cormac%20Reale">Cormac Reale</a>, <a href="https://publications.waset.org/abstracts/search?q=Luke%20J.%20Prendergast"> Luke J. Prendergast</a>, <a href="https://publications.waset.org/abstracts/search?q=Kenneth%20Gavin"> Kenneth Gavin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> While significant improvements have been made in axial pile design methods over recent years, the influence of soils natural variability has not been adequately accounted for within them. Soil variability is a crucial parameter to consider as it can account for large variations in pile capacity across the same site. This paper seeks to address this knowledge deficit, by demonstrating how soil spatial variability can be accommodated into existing cone penetration test (CPT) based pile design methods, in the form of layered non-homogeneous random fields. These random fields model the scope of a given property’s variance and define how it varies spatially. A Monte Carlo analysis of the pile will be performed taking into account parameter uncertainty and spatial variability, described using the measured scales of fluctuation. The results will be discussed in light of Eurocode 7 and the effect of spatial averaging on design capacities will be analysed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=pile%20axial%20design" title="pile axial design">pile axial design</a>, <a href="https://publications.waset.org/abstracts/search?q=reliability" title=" reliability"> reliability</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20variability" title=" spatial variability"> spatial variability</a>, <a href="https://publications.waset.org/abstracts/search?q=CPT" title=" CPT "> CPT </a> </p> <a href="https://publications.waset.org/abstracts/75333/the-effect-of-spatial-variability-on-axial-pile-design-of-closed-ended-piles-in-sand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75333.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">246</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3244</span> Spatial and Temporal Variability of Fog Over the Indo-Gangetic Plains, India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sanjay%20Kumar%20Srivastava">Sanjay Kumar Srivastava</a>, <a href="https://publications.waset.org/abstracts/search?q=Anu%20Rani%20Sharma"> Anu Rani Sharma</a>, <a href="https://publications.waset.org/abstracts/search?q=Kamna%20Sachdeva"> Kamna Sachdeva</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of the paper is to analyze the characteristics of winter fog in terms of its trend and spatial-temporal variability over Indo-Gangetic plains. The study reveals that during last four and half decades (1971-2015), an alarming increasing trend in fog frequency has been observed during the winter months of December and January over the study area. The frequency of fog has increased by 118.4% during the peak winter months of December and January. It has also been observed that on an average central part of IGP has 66.29% fog days followed by west IGP with 41.94% fog days. Further, Empirical Orthogonal Function (EOF) decomposition and Mann-Kendall variation analysis are used to analyze the spatial and temporal patterns of winter fog. The findings have significant implications for the further research of fog over IGP and formulate robust strategies to adapt the fog variability and mitigate its effects. The decision by Delhi Government to implement odd-even scheme to restrict the use of private vehicles in order to reduce pollution and improve quality of air may result in increasing the alarming increasing trend of fog over Delhi and its surrounding areas regions of IGP. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fog" title="fog">fog</a>, <a href="https://publications.waset.org/abstracts/search?q=climatology" title=" climatology"> climatology</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20variability" title=" spatial variability"> spatial variability</a>, <a href="https://publications.waset.org/abstracts/search?q=temporal%20variability" title=" temporal variability"> temporal variability</a> </p> <a href="https://publications.waset.org/abstracts/56267/spatial-and-temporal-variability-of-fog-over-the-indo-gangetic-plains-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/56267.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">347</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3243</span> Nonlinear Analysis of Shear Deformable Deep Beam Resting on Nonlinear Two-Parameter Random Soil</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Seguini">M. Seguini</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Nedjar"> D. Nedjar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, the nonlinear analysis of Timoshenko beam undergoing moderate large deflections and resting on nonlinear two-parameter random foundation is presented, taking into account the effects of shear deformation, beam’s properties variation and the spatial variability of soil characteristics. The finite element probabilistic analysis has been performed by using Timoshenko beam theory with the Von Kàrmàn nonlinear strain-displacement relationships combined to Vanmarcke theory and Monte Carlo simulations, which is implemented in a Matlab program. Numerical examples of the newly developed model is conducted to confirm the efficiency and accuracy of this later and the importance of accounting for the foundation second parameter (Winkler-Pasternak). Thus, the results obtained from the developed model are presented and compared with those available in the literature to examine how the consideration of the shear and spatial variability of soil’s characteristics affects the response of the system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=nonlinear%20analysis" title="nonlinear analysis">nonlinear analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=soil-structure%20interaction" title=" soil-structure interaction"> soil-structure interaction</a>, <a href="https://publications.waset.org/abstracts/search?q=large%20deflection" title=" large deflection"> large deflection</a>, <a href="https://publications.waset.org/abstracts/search?q=Timoshenko%20beam" title=" Timoshenko beam"> Timoshenko beam</a>, <a href="https://publications.waset.org/abstracts/search?q=Euler-Bernoulli%20beam" title=" Euler-Bernoulli beam"> Euler-Bernoulli beam</a>, <a href="https://publications.waset.org/abstracts/search?q=Winkler%20foundation" title=" Winkler foundation"> Winkler foundation</a>, <a href="https://publications.waset.org/abstracts/search?q=Pasternak%20foundation" title=" Pasternak foundation"> Pasternak foundation</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20variability" title=" spatial variability"> spatial variability</a> </p> <a href="https://publications.waset.org/abstracts/61881/nonlinear-analysis-of-shear-deformable-deep-beam-resting-on-nonlinear-two-parameter-random-soil" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61881.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">323</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3242</span> Spatial Variability of Environmental Parameters and Its Relationship with an Environmental Injustice on the Bike Paths of Santiago, Chile</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alicia%20Mu%C3%B1oz">Alicia Muñoz</a>, <a href="https://publications.waset.org/abstracts/search?q=Pedro%20Oyola"> Pedro Oyola</a>, <a href="https://publications.waset.org/abstracts/search?q=Cristian%20Henriquez"> Cristian Henriquez</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Pollution in Santiago de Chile has a spatial variability due to different factors, including meteorological parameters and emission sources. Socioenvironmental aspects are also significant for pollution in the canopy layer since it influences the type of edification, vegetal mass proportion and other environmental conditions. This study analyzes spatially urban pollution in Santiago, specifically, from the bike path perspective. Bike paths are located in high traffic zones, as consequence, users are constantly exposed to urban pollution. Measurements were made at the higher polluted hour, three days a week, including three transit regimes, on the most polluted month of the year. The environmental parameters are fine particulate matter (Model 8520, DustTrak Aerosol Monitor, TSI), temperature and relative humidity; it was also considerate urban parameters as sky view factor and vegetal mass. Identification of an environmental injustice will be achieved with a spatial modeling, including all urban factors and environmental mediations with an economic index of population. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=canopy%20layer" title="canopy layer">canopy layer</a>, <a href="https://publications.waset.org/abstracts/search?q=environmental%20injustice" title=" environmental injustice"> environmental injustice</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20modeling" title=" spatial modeling"> spatial modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20pollution" title=" urban pollution"> urban pollution</a> </p> <a href="https://publications.waset.org/abstracts/73253/spatial-variability-of-environmental-parameters-and-its-relationship-with-an-environmental-injustice-on-the-bike-paths-of-santiago-chile" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73253.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">231</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3241</span> Groundwater Quality Monitoring in the Shoush Suburbs, Khouzestan Province, Iran</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Tahsin%20Karimi%20Nezhad">Mohammad Tahsin Karimi Nezhad</a>, <a href="https://publications.waset.org/abstracts/search?q=Zaynab%20Shadbahr"> Zaynab Shadbahr</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Gholami"> Ali Gholami</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years many attempts have been made to assess groundwater contamination by nitrates worldwide. The assessment of spatial and temporal variations of physico-chemical parameters of water is necessary to mange water quality. The objectives of the study were to evaluate spatial variability and temporal changes of hydrochemical factors by water sampling from 24 wells in the Shoush City suburb. The analysis was conducted for the whole area and for different land use and geological classes. In addition, nitrate concentration variability with descriptive parameters such as sampling depth, dissolved oxygen, and on ground nitrogen loadings was also investigated The results showed that nitrate concentrations did not exceed the standard limit (50 mg/l). EC of water samples, ranged from 900 to 1200 µs/cm, TDS from 775 to 830 mg/l and pH from 5.6 to 9. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=groundwater" title="groundwater">groundwater</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20quality" title=" water quality"> water quality</a>, <a href="https://publications.waset.org/abstracts/search?q=Iran" title=" Iran"> Iran</a> </p> <a href="https://publications.waset.org/abstracts/27261/groundwater-quality-monitoring-in-the-shoush-suburbs-khouzestan-province-iran" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27261.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">431</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3240</span> Spatial Temporal Rainfall Trends in Australia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bright%20E.%20Owusu">Bright E. Owusu</a>, <a href="https://publications.waset.org/abstracts/search?q=Nittaya%20McNeil"> Nittaya McNeil</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Rainfall is one of the most essential quantities in meteorology and hydrology. It has important impacts on people’s daily life and excess or inadequate of it could bring tremendous losses in economy and cause fatalities. Population increase around the globe tends to have a corresponding increase in settlement and industrialization. Some countries are affected by flood and drought occasionally due to climate change, which disrupt most of the daily activities. Knowledge of trends in spatial and temporal rainfall variability and their physical explanations would be beneficial in climate change assessment and to determine erosivity. This study describes the spatial-temporal variability of daily rainfall in Australia and their corresponding long-term trend during 1950-2013. The spatial patterns were investigated by using exploratory factor analysis and the long term trend in rainfall time series were determined by linear regression, Mann-Kendall rank statistics and the Sen’s slope test. The exploratory factor analysis explained most of the variations in the data and grouped Australia into eight distinct rainfall regions with different rainfall patterns. Significant increasing trends in annual rainfall were observed in the northern regions of Australia. However, the northeastern part was the wettest of all the eight rainfall regions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=climate%20change" title="climate change">climate change</a>, <a href="https://publications.waset.org/abstracts/search?q=explanatory%20factor%20analysis" title=" explanatory factor analysis"> explanatory factor analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=Mann-Kendall%20and%20Sen%E2%80%99s%20slope%20test" title=" Mann-Kendall and Sen’s slope test"> Mann-Kendall and Sen’s slope test</a>, <a href="https://publications.waset.org/abstracts/search?q=rainfall." title=" rainfall. "> rainfall. </a> </p> <a href="https://publications.waset.org/abstracts/25086/spatial-temporal-rainfall-trends-in-australia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25086.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">352</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3239</span> A Ground Observation Based Climatology of Winter Fog: Study over the Indo-Gangetic Plains, India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sanjay%20Kumar%20Srivastava">Sanjay Kumar Srivastava</a>, <a href="https://publications.waset.org/abstracts/search?q=Anu%20Rani%20Sharma"> Anu Rani Sharma</a>, <a href="https://publications.waset.org/abstracts/search?q=Kamna%20Sachdeva"> Kamna Sachdeva</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Every year, fog formation over the Indo-Gangetic Plains (IGPs) of Indian region during the winter months of December and January is believed to create numerous hazards, inconvenience, and economic loss to the inhabitants of this densely populated region of Indian subcontinent. The aim of the paper is to analyze the spatial and temporal variability of winter fog over IGPs. Long term ground observations of visibility and other meteorological parameters (1971-2010) have been analyzed to understand the formation of fog phenomena and its relevance during the peak winter months of January and December over IGP of India. In order to examine the temporal variability, time series and trend analysis were carried out by using the Mann-Kendall Statistical test. Trend analysis performed by using the Mann-Kendall test, accepts the alternate hypothesis with 95% confidence level indicating that there exists a trend. Kendall tau’s statistics showed that there exists a positive correlation between time series and fog frequency. Further, the Theil and Sen’s median slope estimate showed that the magnitude of trend is positive. Magnitude is higher during January compared to December for the entire IGP except in December when it is high over the western IGP. Decade wise time series analysis revealed that there has been continuous increase in fog days. The net overall increase of 99 % was observed over IGP in last four decades. Diurnal variability and average daily persistence were computed by using descriptive statistical techniques. Geo-statistical analysis of fog was carried out to understand the spatial variability of fog. Geo-statistical analysis of fog revealed that IGP is a high fog prone zone with fog occurrence frequency of more than 66% days during the study period. Diurnal variability indicates the peak occurrence of fog is between 06:00 and 10:00 local time and average daily fog persistence extends to 5 to 7 hours during the peak winter season. The results would offer a new perspective to take proactive measures in reducing the irreparable damage that could be caused due to changing trends of fog. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fog" title="fog">fog</a>, <a href="https://publications.waset.org/abstracts/search?q=climatology" title=" climatology"> climatology</a>, <a href="https://publications.waset.org/abstracts/search?q=Mann-Kendall%20test" title=" Mann-Kendall test"> Mann-Kendall test</a>, <a href="https://publications.waset.org/abstracts/search?q=trend%20analysis" title=" trend analysis"> trend analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20variability" title=" spatial variability"> spatial variability</a>, <a href="https://publications.waset.org/abstracts/search?q=temporal%20variability" title=" temporal variability"> temporal variability</a>, <a href="https://publications.waset.org/abstracts/search?q=visibility" title=" visibility"> visibility</a> </p> <a href="https://publications.waset.org/abstracts/46037/a-ground-observation-based-climatology-of-winter-fog-study-over-the-indo-gangetic-plains-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46037.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">242</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3238</span> Finite Difference Based Probabilistic Analysis to Evaluate the Impact of Correlation Length on Long-Term Settlement of Soft Soils</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mehrnaz%20Alibeikloo">Mehrnaz Alibeikloo</a>, <a href="https://publications.waset.org/abstracts/search?q=Hadi%20Khabbaz"> Hadi Khabbaz</a>, <a href="https://publications.waset.org/abstracts/search?q=Behzad%20Fatahi"> Behzad Fatahi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Probabilistic analysis has become one of the most popular methods to quantify and manage geotechnical risks due to the spatial variability of soil input parameters. The correlation length is one of the key factors of quantifying spatial variability of soil parameters which is defined as a distance within which the random variables are correlated strongly. This paper aims to assess the impact of correlation length on the long-term settlement of soft soils improved with preloading. The concept of 'worst-case' spatial correlation length was evaluated by determining the probability of failure of a real case study of Vasby test fill. For this purpose, a finite difference code was developed based on axisymmetric consolidation equations incorporating the non-linear elastic visco-plastic model and the Karhunen-Loeve expansion method. The results show that correlation length has a significant impact on the post-construction settlement of soft soils in a way that by increasing correlation length, probability of failure increases and the approach to asymptote. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Karhunen-Loeve%20expansion" title="Karhunen-Loeve expansion">Karhunen-Loeve expansion</a>, <a href="https://publications.waset.org/abstracts/search?q=probability%20of%20failure" title=" probability of failure"> probability of failure</a>, <a href="https://publications.waset.org/abstracts/search?q=soft%20soil%20settlement" title=" soft soil settlement"> soft soil settlement</a>, <a href="https://publications.waset.org/abstracts/search?q=%27worst%20case%27%20spatial%20correlation%20length" title=" 'worst case' spatial correlation length"> 'worst case' spatial correlation length</a> </p> <a href="https://publications.waset.org/abstracts/130353/finite-difference-based-probabilistic-analysis-to-evaluate-the-impact-of-correlation-length-on-long-term-settlement-of-soft-soils" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/130353.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">167</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3237</span> Nonlinear Finite Element Modeling of Deep Beam Resting on Linear and Nonlinear Random Soil</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Seguini">M. Seguini</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Nedjar"> D. Nedjar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> An accuracy nonlinear analysis of a deep beam resting on elastic perfectly plastic soil is carried out in this study. In fact, a nonlinear finite element modeling for large deflection and moderate rotation of Euler-Bernoulli beam resting on linear and nonlinear random soil is investigated. The geometric nonlinear analysis of the beam is based on the theory of von Kàrmàn, where the Newton-Raphson incremental iteration method is implemented in a Matlab code to solve the nonlinear equation of the soil-beam interaction system. However, two analyses (deterministic and probabilistic) are proposed to verify the accuracy and the efficiency of the proposed model where the theory of the local average based on the Monte Carlo approach is used to analyze the effect of the spatial variability of the soil properties on the nonlinear beam response. The effect of six main parameters are investigated: the external load, the length of a beam, the coefficient of subgrade reaction of the soil, the Young’s modulus of the beam, the coefficient of variation and the correlation length of the soil’s coefficient of subgrade reaction. A comparison between the beam resting on linear and nonlinear soil models is presented for different beam’s length and external load. Numerical results have been obtained for the combination of the geometric nonlinearity of beam and material nonlinearity of random soil. This comparison highlighted the need of including the material nonlinearity and spatial variability of the soil in the geometric nonlinear analysis, when the beam undergoes large deflections. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=finite%20element%20method" title="finite element method">finite element method</a>, <a href="https://publications.waset.org/abstracts/search?q=geometric%20nonlinearity" title=" geometric nonlinearity"> geometric nonlinearity</a>, <a href="https://publications.waset.org/abstracts/search?q=material%20nonlinearity" title=" material nonlinearity"> material nonlinearity</a>, <a href="https://publications.waset.org/abstracts/search?q=soil-structure%20interaction" title=" soil-structure interaction"> soil-structure interaction</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20variability" title=" spatial variability"> spatial variability</a> </p> <a href="https://publications.waset.org/abstracts/40934/nonlinear-finite-element-modeling-of-deep-beam-resting-on-linear-and-nonlinear-random-soil" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40934.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">414</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3236</span> Sea Surface Trend over the Arabian Sea and Its Influence on the South West Monsoon Rainfall Variability over Sri Lanka</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sherly%20Shelton">Sherly Shelton</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhaohui%20Lin"> Zhaohui Lin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent decades, the inter-annual variability of summer precipitation over the India and Sri Lanka has intensified significantly with an increased frequency of both abnormally dry and wet summers. Therefore prediction of the inter-annual variability of summer precipitation is crucial and urgent for water management and local agriculture scheduling. However, none of the hypotheses put forward so far could understand the relationship to monsoon variability and related factors that affect to the South West Monsoon (SWM) variability in Sri Lanka. This study focused to identify the spatial and temporal variability of SWM rainfall events from June to September (JJAS) over Sri Lanka and associated trend. The monthly rainfall records covering 1980-2013 over the Sri Lanka are used for 19 stations to investigate long-term trends in SWM rainfall over Sri Lanka. The linear trends of atmospheric variables are calculated to understand the drivers behind the changers described based on the observed precipitation, sea surface temperature and atmospheric reanalysis products data for 34 years (1980–2013). Empirical orthogonal function (EOF) analysis was applied to understand the spatial and temporal behaviour of seasonal SWM rainfall variability and also investigate whether the trend pattern is the dominant mode that explains SWM rainfall variability. The spatial and stations based precipitation over the country showed statistically insignificant decreasing trends except few stations. The first two EOFs of seasonal (JJAS) mean of rainfall explained 52% and 23 % of the total variance and first PC showed positive loadings of the SWM rainfall for the whole landmass while strongest positive lording can be seen in western/ southwestern part of the Sri Lanka. There is a negative correlation (r ≤ -0.3) between SMRI and SST in the Arabian Sea and Central Indian Ocean which indicate that lower temperature in the Arabian Sea and Central Indian Ocean are associated with greater rainfall over the country. This study also shows that consistently warming throughout the Indian Ocean. The result shows that the perceptible water over the county is decreasing with the time which the influence to the reduction of precipitation over the area by weakening drawn draft. In addition, evaporation is getting weaker over the Arabian Sea, Bay of Bengal and Sri Lankan landmass which leads to reduction of moisture availability required for the SWM rainfall over Sri Lanka. At the same time, weakening of the SST gradients between Arabian Sea and Bay of Bengal can deteriorate the monsoon circulation, untimely which diminish SWM over Sri Lanka. The decreasing trends of moisture, moisture transport, zonal wind, moisture divergence with weakening evaporation over Arabian Sea, during the past decade having an aggravating influence on decreasing trends of monsoon rainfall over the Sri Lanka. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arabian%20Sea" title="Arabian Sea">Arabian Sea</a>, <a href="https://publications.waset.org/abstracts/search?q=moisture%20flux%20convergence" title=" moisture flux convergence"> moisture flux convergence</a>, <a href="https://publications.waset.org/abstracts/search?q=South%20West%20Monsoon" title=" South West Monsoon"> South West Monsoon</a>, <a href="https://publications.waset.org/abstracts/search?q=Sri%20Lanka" title=" Sri Lanka"> Sri Lanka</a>, <a href="https://publications.waset.org/abstracts/search?q=sea%20surface%20temperature" title=" sea surface temperature"> sea surface temperature</a> </p> <a href="https://publications.waset.org/abstracts/94971/sea-surface-trend-over-the-arabian-sea-and-its-influence-on-the-south-west-monsoon-rainfall-variability-over-sri-lanka" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/94971.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">132</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3235</span> A Study on Spatial Morphological Cognitive Features of Lidukou Village Based on Space Syntax</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Man%20Guo">Man Guo</a>, <a href="https://publications.waset.org/abstracts/search?q=Wenyong%20Tan"> Wenyong Tan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> By combining spatial syntax with data obtained from field visits, this paper interprets the internal relationship between spatial morphology and spatial cognition in Lidukou Village. By comparing the obtained data, it is recognized that the spatial integration degree of Lidukou Village is positively correlated with the spatial cognitive intention of local villagers. The part with a higher spatial cognitive degree within the village is distributed along the axis mainly composed of Shuxiang Road. And the accessibility of historical relics is weak, and there is no systematic relationship between them. Aiming at the morphological problem of Lidukou Village, optimization strategies have been proposed from multiple perspectives, such as optimizing spatial mechanisms and shaping spatial nodes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=traditional%20villages" title="traditional villages">traditional villages</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20syntax" title=" spatial syntax"> spatial syntax</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20integration%20degree" title=" spatial integration degree"> spatial integration degree</a>, <a href="https://publications.waset.org/abstracts/search?q=morphological%20problem" title=" morphological problem"> morphological problem</a> </p> <a href="https://publications.waset.org/abstracts/184637/a-study-on-spatial-morphological-cognitive-features-of-lidukou-village-based-on-space-syntax" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/184637.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">52</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3234</span> Analysis of Weather Variability Impact on Yields of Some Crops in Southwest, Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Olumuyiwa%20Idowu%20Ojo">Olumuyiwa Idowu Ojo</a>, <a href="https://publications.waset.org/abstracts/search?q=Oluwatobi%20Peter%20Olowo"> Oluwatobi Peter Olowo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study developed a Geographical Information Systems (GIS) database and mapped inter-annual changes in crop yields of cassava, cowpea, maize, rice, melon and yam as a response to inter-annual rainfall and temperature variability in Southwest, Nigeria. The aim of this project is to study the comparative analysis of the weather variability impact of six crops yield (Rice, melon, yam, cassava, Maize and cowpea) in South Western States of Nigeria (Oyo, Osun, Ekiti, Ondo, Ogun and Lagos) from 1991 – 2007. The data was imported and analysed in the Arch GIS 9 – 3 software environment. The various parameters (temperature, rainfall, crop yields) were interpolated using the kriging method. The results generated through interpolation were clipped to the study area. Geographically weighted regression was chosen from the spatial statistics toolbox in Arch GIS 9.3 software to analyse and predict the relationship between temperature, rainfall and the different crops (Cowpea, maize, rice, melon, yam, and cassava). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=GIS" title="GIS">GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=crop%20yields" title=" crop yields"> crop yields</a>, <a href="https://publications.waset.org/abstracts/search?q=comparative%20analysis" title=" comparative analysis"> comparative analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=temperature" title=" temperature"> temperature</a>, <a href="https://publications.waset.org/abstracts/search?q=rainfall" title=" rainfall"> rainfall</a>, <a href="https://publications.waset.org/abstracts/search?q=weather%20variability" title=" weather variability"> weather variability</a> </p> <a href="https://publications.waset.org/abstracts/35458/analysis-of-weather-variability-impact-on-yields-of-some-crops-in-southwest-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35458.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">324</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3233</span> Spatial and Time Variability of Ambient Vibration H/V Frequency Peak</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=N.%20Benkaci">N. Benkaci</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20Oubaiche"> E. Oubaiche</a>, <a href="https://publications.waset.org/abstracts/search?q=J.-L.%20Chatelain"> J.-L. Chatelain</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Bensalem"> R. Bensalem</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Abbes"> K. Abbes</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The ambient vibration H/V technique is widely used nowadays in microzonation studies, because of its easy field handling and its low cost, compared to other geophysical methods. However, in presence of complex geology or lateral heterogeneity evidenced by more than one peak frequency in the H/V curve, it is difficult to interpret the results, especially when soil information is lacking. In this work, we focus on the construction site of the Baraki 40000=place stadium, located in the north-east side of the Mitidja basin (Algeria), to identify the seismic wave amplification zones. H/V curve analysis leads to the observation of spatial and time variability of the H/V frequency peaks. The spatial variability allows dividing the studied area into three main zones: (1) one with a predominant frequency around 1,5 Hz showing an important amplification level, (2) the second exhibits two peaks at 1,5 Hz and in the 4 Hz – 10 Hz range, and (3) the third zone is characterized by a plateau between 2 Hz and 3 Hz. These H/V curve categories reveal a consequent lateral heterogeneity dividing the stadium site roughly in the middle. Furthermore, a continuous ambient vibration recording during several weeks allows showing that the first peak at 1,5 Hz in the second zone, completely disappears between 2 am and 4 am, and reaching its maximum amplitude around 12 am. Consequently, the anthropogenic noise source generating these important variations could be the Algiers Rocade Sud highway, located in the maximum amplification azimuth direction of the H/V curves. This work points out that the H/V method is an important tool to perform nano-zonation studies prior to geotechnical and geophysical investigations, and that, in some cases, the H/V technique fails to reveal the resonance frequency in the absence of strong anthropogenic source. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ambient%20vibrations" title="ambient vibrations">ambient vibrations</a>, <a href="https://publications.waset.org/abstracts/search?q=amplification" title=" amplification"> amplification</a>, <a href="https://publications.waset.org/abstracts/search?q=fundamental%20frequency" title=" fundamental frequency"> fundamental frequency</a>, <a href="https://publications.waset.org/abstracts/search?q=lateral%20heterogeneity" title=" lateral heterogeneity"> lateral heterogeneity</a>, <a href="https://publications.waset.org/abstracts/search?q=site%20effect" title=" site effect"> site effect</a> </p> <a href="https://publications.waset.org/abstracts/43310/spatial-and-time-variability-of-ambient-vibration-hv-frequency-peak" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43310.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">237</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3232</span> Mesozooplankton in the Straits of Florida: Patterns in Biomass and Distribution </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sharein%20El-Tourky">Sharein El-Tourky</a>, <a href="https://publications.waset.org/abstracts/search?q=Sharon%20Smith"> Sharon Smith</a>, <a href="https://publications.waset.org/abstracts/search?q=Gary%20Hitchcock"> Gary Hitchcock</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Effective fisheries management is necessarily dependent on the accuracy of fisheries models, which can be limited if they omit critical elements. One critical element in the formulation of these models is the trophic interactions at the larval stage of fish development. At this stage, fish mortality rates are at their peak and survival is often determined by resource limitation. Thus it is crucial to identify and quantify essential prey resources and determine how they vary in abundance and availability. The main resources larval fish consume are mesozooplankton. In the Straits of Florida, little is known about temporal and spatial variability of the mesozooplankton community despite its importance as a spawning ground for fish such as the Blue Marlin. To investigate mesozooplankton distribution patterns in the Straits of Florida, a transect of 16 stations from Miami to the Bahamas was sampled once a month in 2003 and 2004 at four depths. We found marked temporal and spatial variability in mesozooplankton biomass, diversity, and depth distribution. Mesozooplankton biomass peaked on the western boundary of the SOF and decreased gradually across the straits to a minimum at eastern stations. Midcurrent stations appeared to be a region of enhanced year-round variability, but limited seasonality. Examination of dominant zooplankton groups revealed groups could be parsed into 6 clusters based on abundance. Of these zooplankton groups, copepods were the most abundant zooplankton group, with the 20 most abundant species making up 86% of the copepod community. Copepod diversity was lowest at midcurrent stations and highest in the Eastern SOF. Interestingly, one copepods species, previously identified to compose up to 90% of larval blue marlin and sailfish diets in the SOF, had a mean abundance of less than 7%. However, the unique spatial and vertical distribution patterns of this copepod coincide with peak larval fish spawning periods and larval distribution, suggesting an important relationship requiring further investigation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mesozooplankton%20biodiversity" title="mesozooplankton biodiversity">mesozooplankton biodiversity</a>, <a href="https://publications.waset.org/abstracts/search?q=larval%20fish%20diet" title=" larval fish diet"> larval fish diet</a>, <a href="https://publications.waset.org/abstracts/search?q=food%20web" title=" food web"> food web</a>, <a href="https://publications.waset.org/abstracts/search?q=Straits%20of%20Florida" title=" Straits of Florida"> Straits of Florida</a>, <a href="https://publications.waset.org/abstracts/search?q=vertical%20distribution" title=" vertical distribution"> vertical distribution</a>, <a href="https://publications.waset.org/abstracts/search?q=spatiotemporal%20variability" title=" spatiotemporal variability"> spatiotemporal variability</a>, <a href="https://publications.waset.org/abstracts/search?q=cross-current%20comparisons" title=" cross-current comparisons"> cross-current comparisons</a>, <a href="https://publications.waset.org/abstracts/search?q=Gulf%20Stream" title=" Gulf Stream "> Gulf Stream </a> </p> <a href="https://publications.waset.org/abstracts/14387/mesozooplankton-in-the-straits-of-florida-patterns-in-biomass-and-distribution" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14387.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">552</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3231</span> Spatiotemporal Variation Characteristics of Soil pH around the Balikesir City, Turkey</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=%C3%87a%C4%9Fan%20Alevkayali">Çağan Alevkayali</a>, <a href="https://publications.waset.org/abstracts/search?q=%C5%9Eermin%20Ta%C4%9Fil"> Şermin Tağil</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Determination of soil pH surface distribution in urban areas is substantial for sustainable development. Changes on soil properties occur due to functions on performed in agriculture, industry and other urban functions. Soil pH is important to effect on soil productivity which based on sensitive and complex relation between plant and soil. Furthermore, the spatial variability of soil reaction is necessary to measure the effects of urbanization. The objective of this study was to explore the spatial variation of soil pH quality and the influence factors of human land use on soil Ph around Balikesir City using data for 2015 and Geographic Information Systems (GIS). For this, soil samples were taken from 40 different locations, and collected with the method of "Systematic Random" from the pits at 0-20 cm depths, because anthropologic sourced pollutants accumulate on upper layers of soil. The study area was divided into a grid system with 750 x 750 m. GPS was used to determine sampling locations, and Inverse Distance Weighting (IDW) interpolation technique was used to analyze the spatial distribution of pH in the study area and to predict the variable values of un-exampled places with the help from the values of exampled places. Natural soil acidity and alkalinity depend on interaction between climate, vegetation, and soil geological properties. However, analyzing soil pH is important to indirectly evaluate soil pollution caused by urbanization and industrialization. The result of this study showed that soil pH around the Balikesir City was neutral, in generally, with values were between 6.5 and 7.0. On the other hand, some slight changes were demonstrated around open dump areas and the small industrial sites. The results obtained from this study can be indicator of important soil problems and this data can be used by ecologists, planners and managers to protect soil supplies around the Balikesir City. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Balikesir" title="Balikesir">Balikesir</a>, <a href="https://publications.waset.org/abstracts/search?q=IDW" title=" IDW"> IDW</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20variability" title=" spatial variability"> spatial variability</a>, <a href="https://publications.waset.org/abstracts/search?q=soil%20pH" title=" soil pH"> soil pH</a>, <a href="https://publications.waset.org/abstracts/search?q=urbanization" title=" urbanization"> urbanization</a> </p> <a href="https://publications.waset.org/abstracts/48585/spatiotemporal-variation-characteristics-of-soil-ph-around-the-balikesir-city-turkey" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48585.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">322</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3230</span> A Review of Spatial Analysis as a Geographic Information Management Tool</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chidiebere%20C.%20Agoha">Chidiebere C. Agoha</a>, <a href="https://publications.waset.org/abstracts/search?q=Armstong%20C.%20Awuzie"> Armstong C. Awuzie</a>, <a href="https://publications.waset.org/abstracts/search?q=Chukwuebuka%20N.%20Onwubuariri"> Chukwuebuka N. Onwubuariri</a>, <a href="https://publications.waset.org/abstracts/search?q=Joy%20O.%20Njoku"> Joy O. Njoku</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Spatial analysis is a field of study that utilizes geographic or spatial information to understand and analyze patterns, relationships, and trends in data. It is characterized by the use of geographic or spatial information, which allows for the analysis of data in the context of its location and surroundings. It is different from non-spatial or aspatial techniques, which do not consider the geographic context and may not provide as complete of an understanding of the data. Spatial analysis is applied in a variety of fields, which includes urban planning, environmental science, geosciences, epidemiology, marketing, to gain insights and make decisions about complex spatial problems. This review paper explores definitions of spatial analysis from various sources, including examples of its application and different analysis techniques such as Buffer analysis, interpolation, and Kernel density analysis (multi-distance spatial cluster analysis). It also contrasts spatial analysis with non-spatial analysis. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=aspatial%20technique" title="aspatial technique">aspatial technique</a>, <a href="https://publications.waset.org/abstracts/search?q=buffer%20analysis" title=" buffer analysis"> buffer analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=epidemiology" title=" epidemiology"> epidemiology</a>, <a href="https://publications.waset.org/abstracts/search?q=interpolation" title=" interpolation"> interpolation</a> </p> <a href="https://publications.waset.org/abstracts/171698/a-review-of-spatial-analysis-as-a-geographic-information-management-tool" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/171698.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">318</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3229</span> Role of Spatial Variability in the Service Life Prediction of Reinforced Concrete Bridges Affected by Corrosion</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Omran%20M.%20Kenshel">Omran M. Kenshel</a>, <a href="https://publications.waset.org/abstracts/search?q=Alan%20J.%20O%27Connor"> Alan J. O'Connor</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Estimating the service life of Reinforced Concrete (RC) bridge structures located in corrosive marine environments of a great importance to their owners/engineers. Traditionally, bridge owners/engineers relied more on subjective engineering judgment, e.g. visual inspection, in their estimation approach. However, because financial resources are often limited, rational calculation methods of estimation are needed to aid in making reliable and more accurate predictions for the service life of RC structures. This is in order to direct funds to bridges found to be the most critical. Criticality of the structure can be considered either form the Structural Capacity (i.e. Ultimate Limit State) or from Serviceability viewpoint whichever is adopted. This paper considers the service life of the structure only from the Structural Capacity viewpoint. Considering the great variability associated with the parameters involved in the estimation process, the probabilistic approach is most suited. The probabilistic modelling adopted here used Monte Carlo simulation technique to estimate the Reliability (i.e. Probability of Failure) of the structure under consideration. In this paper the authors used their own experimental data for the Correlation Length (CL) for the most important deterioration parameters. The CL is a parameter of the Correlation Function (CF) by which the spatial fluctuation of a certain deterioration parameter is described. The CL data used here were produced by analyzing 45 chloride profiles obtained from a 30 years old RC bridge located in a marine environment. The service life of the structure were predicted in terms of the load carrying capacity of an RC bridge beam girder. The analysis showed that the influence of SV is only evident if the reliability of the structure is governed by the Flexure failure rather than by the Shear failure. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chloride-induced%20corrosion" title="Chloride-induced corrosion">Chloride-induced corrosion</a>, <a href="https://publications.waset.org/abstracts/search?q=Monte-Carlo%20simulation" title=" Monte-Carlo simulation"> Monte-Carlo simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=reinforced%20concrete" title=" reinforced concrete"> reinforced concrete</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20variability" title=" spatial variability"> spatial variability</a> </p> <a href="https://publications.waset.org/abstracts/22767/role-of-spatial-variability-in-the-service-life-prediction-of-reinforced-concrete-bridges-affected-by-corrosion" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22767.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">473</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3228</span> The Spatial and Temporal Distribution of Ambient Benzene, Toluene, Ethylbenzene and Xylene Concentrations at an International Airport in South Africa</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ryan%20S.%20Johnson">Ryan S. Johnson</a>, <a href="https://publications.waset.org/abstracts/search?q=Raeesa%20Moolla"> Raeesa Moolla</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Airports are known air pollution hotspots due to the variety of fuel driven activities that take place within the confines of them. As such, people working within airports are particularly vulnerable to exposure of hazardous air pollutants, including hundreds of aromatic hydrocarbons, and more specifically a group of compounds known as BTEX (viz. benzene, toluene, ethyl-benzene and xylenes). These compounds have been identified as being harmful to human and environmental health. Through the use of passive and active sampling methods, the spatial and temporal variability of benzene, toluene, ethyl-benzene and xylene concentrations within the international airport was investigated. Two sampling campaigns were conducted. In order to quantify the temporal variability of concentrations within the airport, an active sampling strategy using the Synspec Spectras Gas Chromatography 955 instrument was used. Furthermore, a passive sampling campaign, using Radiello Passive Samplers was used to quantify the spatial variability of these compounds. In addition, meteorological factors are known to affect the dispersal and dilution of pollution. Thus a Davis Pro-Weather 2 station was utilised in order to measure in situ weather parameters (viz. wind speed, wind direction and temperature). Results indicated that toluene varied on a daily, temporal scale considerably more than other concentrations. Toluene further exhibited a strong correlation with regards to the meteorological parameters, inferring that toluene was affected by these parameters to a greater degree than the other pollutants. The passive sampling campaign revealed BTEXtotal concentrations ranged between 12.95 – 124.04 µg m-3. From the results obtained it is clear that benzene, toluene, ethyl-benzene and xylene concentrations are heterogeneously spatially dispersed within the airport. Due to the slow wind speeds recorded over the passive sampling campaign (1.13 m s-1.), the hotspots were located close to the main concentration sources. The most significant hotspot was located over the main apron of the airport. It is recommended that further, extensive investigations into the seasonality of hazardous air pollutants at the airport is necessary in order for sound conclusions to be made about the temporal and spatial distribution of benzene, toluene, ethyl-benzene and xylene concentrations within the airport. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=airport" title="airport">airport</a>, <a href="https://publications.waset.org/abstracts/search?q=air%20pollution%20hotspot" title=" air pollution hotspot"> air pollution hotspot</a>, <a href="https://publications.waset.org/abstracts/search?q=BTEX%20concentrations" title=" BTEX concentrations"> BTEX concentrations</a>, <a href="https://publications.waset.org/abstracts/search?q=meteorology" title=" meteorology"> meteorology</a> </p> <a href="https://publications.waset.org/abstracts/82783/the-spatial-and-temporal-distribution-of-ambient-benzene-toluene-ethylbenzene-and-xylene-concentrations-at-an-international-airport-in-south-africa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/82783.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">204</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3227</span> Soil Penetration Resistance and Water Content Spatial Distribution Following Different Tillage and Crop Rotation in a Chinese Mollisol</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xuewen%20Chen">Xuewen Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Aizhen%20Liang"> Aizhen Liang</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiaoping%20Zhang"> Xiaoping Zhang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To better understand the spatial variability of soil penetration resistance (SPR) and soil water content (SWC) induced by different tillage and crop rotation in a Mollisol of Northeast China, the soil was sampled from the tillage experiment which was established in Dehui County, Jilin Province, Northeast China, in 2001. Effect of no-tillage (NT), moldboard plow (MP) and ridge tillage (RT) under corn-soybean rotation (C-S) and continuous corn (C-C) system on SPR and SWC were compared with horizontal and vertical variations. The results showed that SPR and SWC spatially varied across the ridge. SPR in the rows was higher than inter-rows, especially in topsoil (2.5-15 cm) of NT and RT plots. SPR of MP changed in the trend with the curve-shaped ridge. In contrast to MP, NT, and RT resulted in average increment of 166.3% and 152.3% at a depth of 2.5-17.5 cm in the row positions, respectively. The mean SPR in topsoil in the rows means soil compaction is not the main factor limiting plant growth and crop yield. SPR in the row of RT soil was lower than NT at a depth of 2.5-12.5 cm. The SWC in NT and RT soil was highest in the inter-rows and least in the rows or shoulders, respectively. However, the lateral variation trend of MP was opposite to NT. From the profile view of SWC, MP was greater than NT and RT in 0-20 cm of the rows. SWC in RT soil was higher than NT in the row of 0-20 cm. Crop rotation did not have a marked impact on SPR and SWC. In addition to the tillage practices, the factor which affects SPR greatly was depth but not position. These two factors have significant effects on SWC. These results indicated that the adoption of RT was a more suitable conservation tillage practices than NT in the black soil of Northeast China. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=row" title="row">row</a>, <a href="https://publications.waset.org/abstracts/search?q=soil%20penetration%20resistance" title=" soil penetration resistance"> soil penetration resistance</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20variability" title=" spatial variability"> spatial variability</a>, <a href="https://publications.waset.org/abstracts/search?q=tillage%20practice" title=" tillage practice"> tillage practice</a> </p> <a href="https://publications.waset.org/abstracts/106975/soil-penetration-resistance-and-water-content-spatial-distribution-following-different-tillage-and-crop-rotation-in-a-chinese-mollisol" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/106975.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">133</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3226</span> Enhanced Analysis of Spatial Morphological Cognitive Traits in Lidukou Village through the Application of Space Syntax</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Man%20Guo">Man Guo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper delves into the intricate interplay between spatial morphology and spatial cognition in Lidukou Village, utilizing a combined approach of spatial syntax and field data. Through a comparative analysis of the gathered data, it emerges that the spatial integration level of Lidukou Village exhibits a direct positive correlation with the spatial cognitive preferences of its inhabitants. Specifically, the areas within the village that exhibit a higher degree of spatial cognition are predominantly distributed along the axis primarily defined by Shuxiang Road. However, the accessibility to historical relics remains limited, lacking a coherent systemic relationship. To address the morphological challenges faced by Lidukou Village, this study proposes optimization strategies that encompass diverse perspectives, including the refinement of spatial mechanisms and the shaping of strategic spatial nodes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=traditional%20villages" title="traditional villages">traditional villages</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20syntax" title=" spatial syntax"> spatial syntax</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20integration%20degree" title=" spatial integration degree"> spatial integration degree</a>, <a href="https://publications.waset.org/abstracts/search?q=morphological%20problem" title=" morphological problem"> morphological problem</a> </p> <a href="https://publications.waset.org/abstracts/186493/enhanced-analysis-of-spatial-morphological-cognitive-traits-in-lidukou-village-through-the-application-of-space-syntax" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/186493.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">42</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3225</span> Spatial Econometric Approaches for Count Data: An Overview and New Directions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Paula%20Sim%C3%B5es">Paula Simões</a>, <a href="https://publications.waset.org/abstracts/search?q=Isabel%20Nat%C3%A1rio"> Isabel Natário</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper reviews a number of theoretical aspects for implementing an explicit spatial perspective in econometrics for modelling non-continuous data, in general, and count data, in particular. It provides an overview of the several spatial econometric approaches that are available to model data that are collected with reference to location in space, from the classical spatial econometrics approaches to the recent developments on spatial econometrics to model count data, in a Bayesian hierarchical setting. Considerable attention is paid to the inferential framework, necessary for structural consistent spatial econometric count models, incorporating spatial lag autocorrelation, to the corresponding estimation and testing procedures for different assumptions, to the constrains and implications embedded in the various specifications in the literature. This review combines insights from the classical spatial econometrics literature as well as from hierarchical modeling and analysis of spatial data, in order to look for new possible directions on the processing of count data, in a spatial hierarchical Bayesian econometric context. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=spatial%20data%20analysis" title="spatial data analysis">spatial data analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20econometrics" title=" spatial econometrics"> spatial econometrics</a>, <a href="https://publications.waset.org/abstracts/search?q=Bayesian%20hierarchical%20models" title=" Bayesian hierarchical models"> Bayesian hierarchical models</a>, <a href="https://publications.waset.org/abstracts/search?q=count%20data" title=" count data"> count data</a> </p> <a href="https://publications.waset.org/abstracts/35788/spatial-econometric-approaches-for-count-data-an-overview-and-new-directions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35788.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">593</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3224</span> Evaluation of Spatial Correlation Length and Karhunen-Loeve Expansion Terms for Predicting Reliability Level of Long-Term Settlement in Soft Soils</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mehrnaz%20Alibeikloo">Mehrnaz Alibeikloo</a>, <a href="https://publications.waset.org/abstracts/search?q=Hadi%20Khabbaz"> Hadi Khabbaz</a>, <a href="https://publications.waset.org/abstracts/search?q=Behzad%20Fatahi"> Behzad Fatahi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The spectral random field method is one of the widely used methods to obtain more reliable and accurate results in geotechnical problems involving material variability. Karhunen-Loeve (K-L) expansion method was applied to perform random field discretization of cross-correlated creep parameters. Karhunen-Loeve expansion method is based on eigenfunctions and eigenvalues of covariance function adopting Kernel integral solution. In this paper, the accuracy of Karhunen-Loeve expansion was investigated to predict long-term settlement of soft soils adopting elastic visco-plastic creep model. For this purpose, a parametric study was carried to evaluate the effect of K-L expansion terms and spatial correlation length on the reliability of results. The results indicate that small values of spatial correlation length require more K-L expansion terms. Moreover, by increasing spatial correlation length, the coefficient of variation (COV) of creep settlement increases, confirming more conservative and safer prediction. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Karhunen-Loeve%20expansion" title="Karhunen-Loeve expansion">Karhunen-Loeve expansion</a>, <a href="https://publications.waset.org/abstracts/search?q=long-term%20settlement" title=" long-term settlement"> long-term settlement</a>, <a href="https://publications.waset.org/abstracts/search?q=reliability%20analysis" title=" reliability analysis"> reliability analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20correlation%20length" title=" spatial correlation length"> spatial correlation length</a> </p> <a href="https://publications.waset.org/abstracts/126250/evaluation-of-spatial-correlation-length-and-karhunen-loeve-expansion-terms-for-predicting-reliability-level-of-long-term-settlement-in-soft-soils" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/126250.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">159</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3223</span> The Role of Planning and Memory in the Navigational Ability</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Greeshma%20Sharma">Greeshma Sharma</a>, <a href="https://publications.waset.org/abstracts/search?q=Sushil%20Chandra"> Sushil Chandra</a>, <a href="https://publications.waset.org/abstracts/search?q=Vijander%20Singh"> Vijander Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=Alok%20Prakash%20Mittal"> Alok Prakash Mittal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Navigational ability requires spatial representation, planning, and memory. It covers three interdependent domains, i.e. cognitive and perceptual factors, neural information processing, and variability in brain microstructure. Many attempts have been made to see the role of spatial representation in the navigational ability, and the individual differences have been identified in the neural substrate. But, there is also a need to address the influence of planning, memory on navigational ability. The present study aims to evaluate relations of aforementioned factors in the navigational ability. Total 30 participants volunteered in the study of a virtual shopping complex and subsequently were classified into good and bad navigators based on their performances. The result showed that planning ability was the most correlated factor for the navigational ability and also the discriminating factor between the good and bad navigators. There was also found the correlations between spatial memory recall and navigational ability. However, non-verbal episodic memory and spatial memory recall were also found to be correlated with the learning variable. This study attempts to identify differences between people with more and less navigational ability on the basis of planning and memory. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=memory" title="memory">memory</a>, <a href="https://publications.waset.org/abstracts/search?q=planning%20navigational%20ability" title=" planning navigational ability"> planning navigational ability</a>, <a href="https://publications.waset.org/abstracts/search?q=virtual%20reality" title=" virtual reality"> virtual reality</a> </p> <a href="https://publications.waset.org/abstracts/54114/the-role-of-planning-and-memory-in-the-navigational-ability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54114.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">336</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3222</span> Variability of Surface Air Temperature in Sri Lanka and Its Relation to El Nino Southern Oscillation and Indian Ocean Dipole</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Athdath%20Waduge%20Susantha%20Janaka%20Kumara">Athdath Waduge Susantha Janaka Kumara</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiefei%20Zhi"> Xiefei Zhi</a>, <a href="https://publications.waset.org/abstracts/search?q=Zin%20Mie%20Mie%20Sein"> Zin Mie Mie Sein</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Understanding the air temperature variability is crucially important for disaster risk reduction and management. In this study, we used 15 synoptic meteorological stations to assess the spatiotemporal variability of air temperature over Sri Lanka during 1972–2021. The empirical orthogonal function (EOF), Principal component analysis (PCA), Mann-Kendall test, power spectrum analysis and correlation coefficient analysis were used to investigate the long-term trends of air temperature and their possible relation to sea surface temperature (SST) over the region. The results indicate that an increasing trend in air temperature was observed with the abrupt climate change noted in the year 1994. The spatial distribution of EOF1 (63.5%) shows the positive and negative loading dipole patterns from south to northeast, while EOF2 (23.4%) explains warmer (colder) in some parts of central (south and east) areas. The power spectrum of PC1 (PC2) indicates that there is a significant period of 3-4 years (quasi-2 years). Moreover, Indian Ocean Dipole (IOD) provides a strong positive correlation with the air temperature of Sri Lanka, while the EL Nino Southern Oscillation (ENSO) presents a weak negative correlation. Therefore, IOD events led to higher temperatures in the region. This study’s findings can help disaster risk reduction and management in the country. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=air%20temperature" title="air temperature">air temperature</a>, <a href="https://publications.waset.org/abstracts/search?q=interannaul%20variability" title=" interannaul variability"> interannaul variability</a>, <a href="https://publications.waset.org/abstracts/search?q=ENSO" title=" ENSO"> ENSO</a>, <a href="https://publications.waset.org/abstracts/search?q=IOD" title=" IOD"> IOD</a> </p> <a href="https://publications.waset.org/abstracts/166469/variability-of-surface-air-temperature-in-sri-lanka-and-its-relation-to-el-nino-southern-oscillation-and-indian-ocean-dipole" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/166469.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">100</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3221</span> Methods of Interpolating Temperature and Rainfall Distribution in Northern Vietnam</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Thanh%20Van%20Hoang">Thanh Van Hoang</a>, <a href="https://publications.waset.org/abstracts/search?q=Tien%20Yin%20Chou"> Tien Yin Chou</a>, <a href="https://publications.waset.org/abstracts/search?q=Yao%20Min%20Fang"> Yao Min Fang</a>, <a href="https://publications.waset.org/abstracts/search?q=Yi%20Min%20Huang"> Yi Min Huang</a>, <a href="https://publications.waset.org/abstracts/search?q=Xuan%20Linh%20Nguyen"> Xuan Linh Nguyen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Reliable information on the spatial distribution of annual rainfall and temperature is essential in research projects relating to urban and regional planning. This research presents results of a classification of temperature and rainfall in the Red River Delta of northern Vietnam based on measurements from seven meteorological stations (Ha Nam, Hung Yen, Lang, Nam Dinh, Ninh Binh, Phu Lien, Thai Binh) in the river basin over a thirty-years period from 1982-2011. The average accumulated rainfall trends in the delta are analysed and form the basis of research essential to weather and climate forecasting. This study employs interpolation based on the Kriging Method for daily rainfall (min and max) and daily temperature (min and max) in order to improve the understanding of sources of variation and uncertainly in these important meteorological parameters. To the Kriging method, the results will show the different models and the different parameters based on the various precipitation series. The results provide a useful reference to assist decision makers in developing smart agriculture strategies for the Red River Delta in Vietnam. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=spatial%20interpolation%20method" title="spatial interpolation method">spatial interpolation method</a>, <a href="https://publications.waset.org/abstracts/search?q=ArcGIS" title=" ArcGIS"> ArcGIS</a>, <a href="https://publications.waset.org/abstracts/search?q=temperature%20variability" title=" temperature variability"> temperature variability</a>, <a href="https://publications.waset.org/abstracts/search?q=rainfall%20variability" title=" rainfall variability"> rainfall variability</a>, <a href="https://publications.waset.org/abstracts/search?q=Red%20River%20Delta" title=" Red River Delta"> Red River Delta</a>, <a href="https://publications.waset.org/abstracts/search?q=Vietnam" title=" Vietnam"> Vietnam</a> </p> <a href="https://publications.waset.org/abstracts/69071/methods-of-interpolating-temperature-and-rainfall-distribution-in-northern-vietnam" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/69071.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">329</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3220</span> Investigation of Surface Water Quality Intera-Annual Variations, Gorganroud Basin, Iran</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.%20Ebrahimi">K. Ebrahimi</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Shahid"> S. Shahid</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20Dehban"> H. Dehban </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Climate variability can affect surface water quality. The objective of present study is to assess the impacts of climate variability on water quality of Gorganroud River, Iran, over the time period 1971 to 2011. To achieve this aim, climate variability and water quality variations were studied involving a newly developed drought index (MRDI) and hysteresis curves, respectively. The results show that climate variability significantly affected surface water quality over the time. The existence of yearly internal variation and hysteresis phenomenon for pH and EC parameters was observed. It was found that though drought affected pH considerably, it could not affect EC significantly. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=climate%20variability" title="climate variability">climate variability</a>, <a href="https://publications.waset.org/abstracts/search?q=hysteresis%20curves" title=" hysteresis curves"> hysteresis curves</a>, <a href="https://publications.waset.org/abstracts/search?q=multi%20drought%20index" title=" multi drought index"> multi drought index</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20quality" title=" water quality"> water quality</a> </p> <a href="https://publications.waset.org/abstracts/31390/investigation-of-surface-water-quality-intera-annual-variations-gorganroud-basin-iran" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31390.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">369</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3219</span> Estimation of Missing Values in Aggregate Level Spatial Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amitha%20Puranik">Amitha Puranik</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20S.%20Binu"> V. S. Binu</a>, <a href="https://publications.waset.org/abstracts/search?q=Seena%20Biju"> Seena Biju</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Missing data is a common problem in spatial analysis especially at the aggregate level. Missing can either occur in covariate or in response variable or in both in a given location. Many missing data techniques are available to estimate the missing data values but not all of these methods can be applied on spatial data since the data are autocorrelated. Hence there is a need to develop a method that estimates the missing values in both response variable and covariates in spatial data by taking account of the spatial autocorrelation. The present study aims to develop a model to estimate the missing data points at the aggregate level in spatial data by accounting for (a) Spatial autocorrelation of the response variable (b) Spatial autocorrelation of covariates and (c) Correlation between covariates and the response variable. Estimating the missing values of spatial data requires a model that explicitly account for the spatial autocorrelation. The proposed model not only accounts for spatial autocorrelation but also utilizes the correlation that exists between covariates, within covariates and between a response variable and covariates. The precise estimation of the missing data points in spatial data will result in an increased precision of the estimated effects of independent variables on the response variable in spatial regression analysis. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=spatial%20regression" title="spatial regression">spatial regression</a>, <a href="https://publications.waset.org/abstracts/search?q=missing%20data%20estimation" title=" missing data estimation"> missing data estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20autocorrelation" title=" spatial autocorrelation"> spatial autocorrelation</a>, <a href="https://publications.waset.org/abstracts/search?q=simulation%20analysis" title=" simulation analysis"> simulation analysis</a> </p> <a href="https://publications.waset.org/abstracts/58411/estimation-of-missing-values-in-aggregate-level-spatial-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58411.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">382</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3218</span> Long Term Variability of Temperature in Armenia in the Context of Climate Change</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hrachuhi%20Galstyan">Hrachuhi Galstyan</a>, <a href="https://publications.waset.org/abstracts/search?q=Lucian%20Sf%C3%AEc%C4%83"> Lucian Sfîcă</a>, <a href="https://publications.waset.org/abstracts/search?q=Pavel%20Ichim"> Pavel Ichim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this study is to analyze the temporal and spatial variability of thermal conditions in the Republic of Armenia. The paper describes annual fluctuations in air temperature. Research has been focused on case study region of Armenia and surrounding areas, where long–term measurements and observations of weather conditions have been performed within the National Meteorological Service of Armenia and its surrounding areas. The study contains yearly air temperature data recorded between 1961-2012. Mann-Kendal test and the autocorrelation function were applied to detect the change trend of annual mean temperature, as well as other parametric and non-parametric tests searching to find the presence of some breaks in the long term evolution of temperature. The analysis of all records reveals a tendency mostly towards warmer years, with increased temperatures especially in valleys and inner basins. The maximum temperature increase is up to 1,5 °C. Negative results have not been observed in Armenia. The patterns of temperature change have been observed since the 1990’s over much of the Armenian territory. The climate in Armenia was influenced by global change in the last 2 decades, as results from the methods employed within the study. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=air%20temperature" title="air temperature">air temperature</a>, <a href="https://publications.waset.org/abstracts/search?q=long-term%20variability" title=" long-term variability"> long-term variability</a>, <a href="https://publications.waset.org/abstracts/search?q=trend" title=" trend"> trend</a>, <a href="https://publications.waset.org/abstracts/search?q=climate%20change" title=" climate change"> climate change</a> </p> <a href="https://publications.waset.org/abstracts/42415/long-term-variability-of-temperature-in-armenia-in-the-context-of-climate-change" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42415.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">298</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3217</span> Poincare Plot for Heart Rate Variability </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mazhar%20B.%20Tayel">Mazhar B. Tayel</a>, <a href="https://publications.waset.org/abstracts/search?q=Eslam%20I.%20AlSaba"> Eslam I. AlSaba</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The heart is the most important part in any body organisms. It effects and affected by any factor in the body. Therefore, it is a good detector of any matter in the body. When the heart signal is non-stationary signal, therefore, it should be study its variability. So, the Heart Rate Variability (HRV) has attracted considerable attention in psychology, medicine and have become important dependent measure in psychophysiology and behavioral medicine. Quantification and interpretation of heart rate variability. However, remain complex issues are fraught with pitfalls. This paper presents one of the non-linear techniques to analyze HRV. It discusses 'What Poincare plot is?', 'How it is work?', 'its usage benefits especially in HRV', 'the limitation of Poincare cause of standard deviation SD1, SD2', and 'How overcome this limitation by using complex correlation measure (CCM)'. The CCM is most sensitive to changes in temporal structure of the Poincaré plot as compared to SD1 and SD2. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=heart%20rate%20variability" title="heart rate variability">heart rate variability</a>, <a href="https://publications.waset.org/abstracts/search?q=chaotic%20system" title=" chaotic system"> chaotic system</a>, <a href="https://publications.waset.org/abstracts/search?q=poincare" title=" poincare"> poincare</a>, <a href="https://publications.waset.org/abstracts/search?q=variance" title=" variance"> variance</a>, <a href="https://publications.waset.org/abstracts/search?q=standard%20deviation" title=" standard deviation"> standard deviation</a>, <a href="https://publications.waset.org/abstracts/search?q=complex%20correlation%20measure" title=" complex correlation measure"> complex correlation measure</a> </p> <a href="https://publications.waset.org/abstracts/35154/poincare-plot-for-heart-rate-variability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35154.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">399</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3216</span> Variability of Hydrological Modeling of the Blue Nile</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abeer%20Samy">Abeer Samy</a>, <a href="https://publications.waset.org/abstracts/search?q=Oliver%20C.%20Saavedra%20Valeriano"> Oliver C. Saavedra Valeriano</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdelazim%20Negm"> Abdelazim Negm</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Blue Nile Basin is the most important tributary of the Nile River. Egypt and Sudan are almost dependent on water originated from the Blue Nile. This multi-dependency creates conflicts among the three countries Egypt, Sudan, and Ethiopia making the management of these conflicts as an international issue. Good assessment of the water resources of the Blue Nile is an important to help in managing such conflicts. Hydrological models are good tool for such assessment. This paper presents a critical review of the nature and variability of the climate and hydrology of the Blue Nile Basin as a first step of using hydrological modeling to assess the water resources of the Blue Nile. Many several attempts are done to develop basin-scale hydrological modeling on the Blue Nile. Lumped and semi distributed models used averages of meteorological inputs and watershed characteristics in hydrological simulation, to analyze runoff for flood control and water resource management. Distributed models include the temporal and spatial variability of catchment conditions and meteorological inputs to allow better representation of the hydrological process. The main challenge of all used models was to assess the water resources of the basin is the shortage of the data needed for models calibration and validation. It is recommended to use distributed model for their higher accuracy to cope with the great variability and complexity of the Blue Nile basin and to collect sufficient data to have more sophisticated and accurate hydrological modeling. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Blue%20Nile%20Basin" title="Blue Nile Basin">Blue Nile Basin</a>, <a href="https://publications.waset.org/abstracts/search?q=climate%20change" title=" climate change"> climate change</a>, <a href="https://publications.waset.org/abstracts/search?q=hydrological%20modeling" title=" hydrological modeling"> hydrological modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=watershed" title=" watershed"> watershed</a> </p> <a href="https://publications.waset.org/abstracts/25736/variability-of-hydrological-modeling-of-the-blue-nile" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25736.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">366</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=spatial%20variability&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=spatial%20variability&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=spatial%20variability&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=spatial%20variability&page=5">5</a></li> <li class="page-item"><a class="page-link" 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