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events</title> <meta name="description" content="Search results for: extreme events"> <meta name="keywords" content="extreme events"> <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 navbar-toggler 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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="extreme events"> <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> 2839</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: extreme events</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2839</span> Changes in Temperature and Precipitation Extremes in Northern Thailand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chakrit%20Chotamonsak">Chakrit Chotamonsak</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study was analyzed changes in temperature and precipitation extremes in northern Thailand for the period 1981-2011.The study includes an analysis of the average and trends of changes in temperature and precipitation using 22 climate indices, related to the intensity, frequency and duration of extreme climate events. The results showed that the averaged trend of maximum, minimum and mean temperature is likely to increase over the study area in rate of 0.5, 0.9 and 0.7 掳C in last 30 years. Changes in temperature at nighttime, then rising at a rate higher daytime is resulting to decline of diurnal temperature range throughout the area. Trend of changes in average precipitation during the year 1981-2011 is expected to increase at an average rate of 21%. The intensity of extreme temperature events is increasing almost all station. In particular, the changes of the night were unusually hot has intensified throughout the region. In some provinces such as Chiang Mai and Lampang are likely be faced with the severity of hot days and hot nights in increasing rate. Frequency of extreme temperature events are likely to increase each station, especially hot days, and hot nights are increasing at a rate of 2.38 and 3.58 days per decade. Changes in the cold days and cold nights are declining at a rate of 0.82 and 3.03 days per decade. The duration of extreme temperature events is expected to increase the events hot in every station. An average of 17.8 days per decade for the number of consecutive cold winter nights likely shortens the rate of 2.90 days per decade. The analysis of the precipitation indices reveals the intensity of extreme precipitation is increasing almost across the region. The intensify expressed the heavy rain in one day (Rx1day) and very heavy rain accumulated in 5 days (RX5day) which is likely to increase, and very heavy rainfall is likely to increase in intensity. Frequency of extreme precipitation events is likely to increase over the station. The average frequency of heavy precipitation events increased xxx days per decade. The duration of extreme precipitation events, such as the consecutive dry days are likely to reduce the numbers almost all station while the consecutive wet days tends to increase and decrease at different numbers in different areas. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=climate%20extreme" title="climate extreme">climate extreme</a>, <a href="https://publications.waset.org/abstracts/search?q=temperature%20extreme" title=" temperature extreme"> temperature extreme</a>, <a href="https://publications.waset.org/abstracts/search?q=precipitation%20extreme" title=" precipitation extreme"> precipitation extreme</a>, <a href="https://publications.waset.org/abstracts/search?q=Northern%20Thailand" title=" Northern Thailand"> Northern Thailand</a> </p> <a href="https://publications.waset.org/abstracts/35651/changes-in-temperature-and-precipitation-extremes-in-northern-thailand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35651.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">283</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">2838</span> A Machine Learning-Based Approach to Capture Extreme Rainfall Events</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Willy%20Mbenza">Willy Mbenza</a>, <a href="https://publications.waset.org/abstracts/search?q=Sho%20Kenjiro"> Sho Kenjiro</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Increasing efforts are directed towards a better understanding and foreknowledge of extreme precipitation likelihood, given the adverse effects associated with their occurrence. This knowledge plays a crucial role in long-term planning and the formulation of effective emergency response. However, predicting extreme events reliably presents a challenge to conventional empirical/statistics due to the involvement of numerous variables spanning different time and space scales. In the recent time, Machine Learning has emerged as a promising tool for predicting the dynamics of extreme precipitation. ML techniques enables the consideration of both local and regional physical variables that have a strong influence on the likelihood of extreme precipitation. These variables encompasses factors such as air temperature, soil moisture, specific humidity, aerosol concentration, among others. In this study, we develop an ML model that incorporates both local and regional variables while establishing a robust relationship between physical variables and precipitation during the downscaling process. Furthermore, the model provides valuable information on the frequency and duration of a given intensity of precipitation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=machine%20learning%20%28ML%29" title="machine learning (ML)">machine learning (ML)</a>, <a href="https://publications.waset.org/abstracts/search?q=predictions" title=" predictions"> predictions</a>, <a href="https://publications.waset.org/abstracts/search?q=rainfall%20events" title=" rainfall events"> rainfall events</a>, <a href="https://publications.waset.org/abstracts/search?q=regional%20variables" title=" regional variables"> regional variables</a> </p> <a href="https://publications.waset.org/abstracts/168878/a-machine-learning-based-approach-to-capture-extreme-rainfall-events" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/168878.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">88</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">2837</span> Assessing Missouri State Park Employee Perceptions of Vulnerability and Resilience to Extreme Weather Events</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ojetunde%20Ojewola">Ojetunde Ojewola</a>, <a href="https://publications.waset.org/abstracts/search?q=Mark%20Morgan"> Mark Morgan</a>, <a href="https://publications.waset.org/abstracts/search?q=Sonja%20Wilhelm-Stanis"> Sonja Wilhelm-Stanis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> State parks and historic sites are vulnerable to extreme weather events which can affect visitor experiences, management priorities, and legislative requests for disaster relief funds. Recently, global attention has been focused on the perceptions of global warming and how the presence of extreme weather events might impact protected areas, both now and in the future. The effects of climate change are not equally distributed across the United States, leading to varied perceptions based on personal experience with extreme weather events. This study describes employee perceptions of vulnerability and resilience in Missouri State Parks & Historic Sites due to extreme weather events that occur across the state but grouped according to physiographic provinces. Using a four-point rating scale, perceptions of vulnerability and resilience were divided into high and low sub-groups, thus allowing researchers to construct a two by two typology of employee responses. Subsequently, this data was used to develop a three-point continuum of environmental concern (higher scores meant more concern). Employee scores were then compared against a statewide assessment which combined social, economic, infrastructural and environmental indicators of vulnerability and resilience. State park employees thought the system was less vulnerable and more resilient to climate change than data found in statewide assessment This result was also consistent in three out of five physiographic regions across Missouri. Implications suggest that Missouri state park should develop a climate change adaptation strategy for emergency preparedness. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=extreme%20weather%20events" title="extreme weather events">extreme weather events</a>, <a href="https://publications.waset.org/abstracts/search?q=resilience" title=" resilience"> resilience</a>, <a href="https://publications.waset.org/abstracts/search?q=state%20parks" title=" state parks"> state parks</a>, <a href="https://publications.waset.org/abstracts/search?q=vulnerability" title=" vulnerability"> vulnerability</a> </p> <a href="https://publications.waset.org/abstracts/95563/assessing-missouri-state-park-employee-perceptions-of-vulnerability-and-resilience-to-extreme-weather-events" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/95563.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">124</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">2836</span> Gradient-Based Reliability Optimization of Integrated Energy Systems Under Extreme Weather Conditions: A Case Study in Ningbo, China</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Da%20LI">Da LI</a>, <a href="https://publications.waset.org/abstracts/search?q=Peng%20Xu"> Peng Xu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Recent extreme weather events, such as the 2021 European floods and North American heatwaves, have exposed the vulnerability of energy systems to both extreme demand scenarios and potential physical damage. Current integrated energy system designs often overlook performance under these challenging conditions. This research, focusing on a regional integrated energy system in Ningbo, China, proposes a distinct design method to optimize system reliability during extreme events. A multi-scenario model was developed, encompassing various extreme load conditions and potential system damages caused by severe weather. Based on this model, a comprehensive reliability improvement scheme was designed, incorporating a gradient approach to address different levels of disaster severity through the integration of advanced technologies like distributed energy storage. The scheme's effectiveness was validated through Monte Carlo simulations. Results demonstrate significant enhancements in energy supply reliability and peak load reduction capability under extreme scenarios. The findings provide several insights for improving energy system adaptability in the face of climate-induced challenges, offering valuable references for building reliable energy infrastructure capable of withstanding both extreme demands and physical threats across a spectrum of disaster intensities. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=extreme%20weather%20events" title="extreme weather events">extreme weather events</a>, <a href="https://publications.waset.org/abstracts/search?q=integrated%20energy%20systems" title=" integrated energy systems"> integrated energy systems</a>, <a href="https://publications.waset.org/abstracts/search?q=reliability%20improvement" title=" reliability improvement"> reliability improvement</a>, <a href="https://publications.waset.org/abstracts/search?q=climate%20change%20adaptation" title=" climate change adaptation"> climate change adaptation</a> </p> <a href="https://publications.waset.org/abstracts/190789/gradient-based-reliability-optimization-of-integrated-energy-systems-under-extreme-weather-conditions-a-case-study-in-ningbo-china" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/190789.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">25</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">2835</span> Extreme Value Theory Applied in Reliability Analysis: Case Study of Diesel Generator Fans</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jelena%20Vucicevic">Jelena Vucicevic</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Reliability analysis represents a very important task in different areas of work. In any industry, this is crucial for maintenance, efficiency, safety and monetary costs. There are ways to calculate reliability, unreliability, failure density and failure rate. In this paper, the results for the reliability of diesel generator fans were calculated through Extreme Value Theory. The Extreme Value Theory is not widely used in the engineering field. Its usage is well known in other areas such as hydrology, meteorology, finance. The significance of this theory is in the fact that unlike the other statistical methods it is focused on rare and extreme values, and not on average. It should be noted that this theory is not designed exclusively for extreme events, but for extreme values in any event. Therefore, this is a great opportunity to apply the theory and test if it could be applied in this situation. The significance of the work is the calculation of time to failure or reliability in a new way, using statistic. Another advantage of this calculation is that there is no need for technical details and it can be implemented in any part for which we need to know the time to fail in order to have appropriate maintenance, but also to maximize usage and minimize costs. In this case, calculations have been made on diesel generator fans but the same principle can be applied to any other part. The data for this paper came from a field engineering study of the time to failure of diesel generator fans. The ultimate goal was to decide whether or not to replace the working fans with a higher quality fan to prevent future failures. The results achieved in this method will show the approximation of time for which the fans will work as they should, and the percentage of probability of fans working more than certain estimated time. Extreme Value Theory can be applied not only for rare and extreme events, but for any event that has values which we can consider as extreme. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=extreme%20value%20theory" title="extreme value theory">extreme value theory</a>, <a href="https://publications.waset.org/abstracts/search?q=lifetime" title=" lifetime"> lifetime</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=statistic" title=" statistic"> statistic</a>, <a href="https://publications.waset.org/abstracts/search?q=time%20to%20failure" title=" time to failure"> time to failure</a> </p> <a href="https://publications.waset.org/abstracts/78201/extreme-value-theory-applied-in-reliability-analysis-case-study-of-diesel-generator-fans" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78201.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">327</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">2834</span> Climate Change and Extreme Weather: Understanding Interconnections and Implications</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Johnstone%20Walubengo%20Wangusi">Johnstone Walubengo Wangusi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Climate change is undeniably altering the frequency, intensity, and geographic distribution of extreme weather events worldwide. In this paper, we explore the complex interconnections between climate change and extreme weather phenomena, drawing upon research from atmospheric science, geology, and climatology. We examine the underlying mechanisms driving these changes, the impacts on natural ecosystems and human societies, and strategies for adaptation and mitigation. By synthesizing insights from interdisciplinary research, this paper aims to provide a comprehensive understanding of the multifaceted relationship between climate change and extreme weather, informing efforts to address the challenges posed by a changing climate. <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=extreme%20weather" title=" extreme weather"> extreme weather</a>, <a href="https://publications.waset.org/abstracts/search?q=atmospheric%20science" title=" atmospheric science"> atmospheric science</a>, <a href="https://publications.waset.org/abstracts/search?q=geology" title=" geology"> geology</a>, <a href="https://publications.waset.org/abstracts/search?q=climatology" title=" climatology"> climatology</a>, <a href="https://publications.waset.org/abstracts/search?q=impacts" title=" impacts"> impacts</a>, <a href="https://publications.waset.org/abstracts/search?q=adaptation" title=" adaptation"> adaptation</a>, <a href="https://publications.waset.org/abstracts/search?q=mitigation" title=" mitigation"> mitigation</a> </p> <a href="https://publications.waset.org/abstracts/184530/climate-change-and-extreme-weather-understanding-interconnections-and-implications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/184530.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">64</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">2833</span> Influence of Precipitation and Land Use on Extreme Flow in Prek Thnot River Basin of Mekong River in Cambodia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chhordaneath%20Hen">Chhordaneath Hen</a>, <a href="https://publications.waset.org/abstracts/search?q=Ty%20Sok"> Ty Sok</a>, <a href="https://publications.waset.org/abstracts/search?q=Ilan%20Ich"> Ilan Ich</a>, <a href="https://publications.waset.org/abstracts/search?q=Ratboren%20Chan"> Ratboren Chan</a>, <a href="https://publications.waset.org/abstracts/search?q=Chantha%20Oeurng"> Chantha Oeurng</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The damages caused by hydrological extremes such as flooding have been severe globally, and several research studies indicated extreme precipitations play a crucial role. Cambodia is one of the most vulnerable countries exposed to floods and drought as consequences of climate impact. Prek Thnot River Basin in the southwest part of Cambodia, which is in the plate and plateau region and a part of the Mekong Delta, was selected to investigate the changes in extreme precipitation and hydrological extreme. Furthermore, to develop a statistical relationship between these phenomena in this basin from 1995 to 2020 using Multiple Linear Regression. The precipitation and hydrological extreme were assessed via the attributes and trends of rainfall patterns during the study periods. The extreme flow was defined as a dependent variable, while the independent variables are various extreme precipitation indices. The study showed that all extreme precipitations indices (R10, R20, R35, CWD, R95p, R99p, and PRCPTOT) had increasing decency. However, the number of rain days per year had a decreasing tendency, which can conclude that extreme rainfall was more intense in a shorter period of the year. The study showed a similar relationship between extreme precipitation and hydrological extreme and land use change association with hydrological extreme. The direct combination of land use and precipitation equals 37% of the flood causes in this river. This study provided information on these two causes of flood events and an understanding of expectations of climate change consequences for flood and water resources management. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=extreme%20precipitation" title="extreme precipitation">extreme precipitation</a>, <a href="https://publications.waset.org/abstracts/search?q=hydrological%20extreme" title=" hydrological extreme"> hydrological extreme</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20use" title=" land use"> land use</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20cover" title=" land cover"> land cover</a>, <a href="https://publications.waset.org/abstracts/search?q=Prek%20Thnot%20river%20basin" title=" Prek Thnot river basin"> Prek Thnot river basin</a> </p> <a href="https://publications.waset.org/abstracts/155816/influence-of-precipitation-and-land-use-on-extreme-flow-in-prek-thnot-river-basin-of-mekong-river-in-cambodia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/155816.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">111</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">2832</span> Extreme Value Modelling of Ghana Stock Exchange Indices</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kwabena%20Asare">Kwabena Asare</a>, <a href="https://publications.waset.org/abstracts/search?q=Ezekiel%20N.%20N.%20Nortey"> Ezekiel N. N. Nortey</a>, <a href="https://publications.waset.org/abstracts/search?q=Felix%20O.%20Mettle"> Felix O. Mettle</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Modelling of extreme events has always been of interest in fields such as hydrology and meteorology. However, after the recent global financial crises, appropriate models for modelling of such rare events leading to these crises have become quite essential in the finance and risk management fields. This paper models the extreme values of the Ghana Stock Exchange All-Shares indices (2000-2010) by applying the Extreme Value Theory to fit a model to the tails of the daily stock returns data. A conditional approach of the EVT was preferred and hence an ARMA-GARCH model was fitted to the data to correct for the effects of autocorrelation and conditional heteroscedastic terms present in the returns series, before EVT method was applied. The Peak Over Threshold (POT) approach of the EVT, which fits a Generalized Pareto Distribution (GPD) model to excesses above a certain selected threshold, was employed. Maximum likelihood estimates of the model parameters were obtained and the model鈥檚 goodness of fit was assessed graphically using Q-Q, P-P and density plots. The findings indicate that the GPD provides an adequate fit to the data of excesses. The size of the extreme daily Ghanaian stock market movements were then computed using the Value at Risk (VaR) and Expected Shortfall (ES) risk measures at some high quantiles, based on the fitted GPD model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=extreme%20value%20theory" title="extreme value theory">extreme value theory</a>, <a href="https://publications.waset.org/abstracts/search?q=expected%20shortfall" title=" expected shortfall"> expected shortfall</a>, <a href="https://publications.waset.org/abstracts/search?q=generalized%20pareto%20distribution" title=" generalized pareto distribution"> generalized pareto distribution</a>, <a href="https://publications.waset.org/abstracts/search?q=peak%20over%20threshold" title=" peak over threshold"> peak over threshold</a>, <a href="https://publications.waset.org/abstracts/search?q=value%20at%20risk" title=" value at risk"> value at risk</a> </p> <a href="https://publications.waset.org/abstracts/35743/extreme-value-modelling-of-ghana-stock-exchange-indices" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35743.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">557</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">2831</span> A Comparative Analysis of the Performance of COSMO and WRF Models in Quantitative Rainfall Prediction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Isaac%20Mugume">Isaac Mugume</a>, <a href="https://publications.waset.org/abstracts/search?q=Charles%20Basalirwa"> Charles Basalirwa</a>, <a href="https://publications.waset.org/abstracts/search?q=Daniel%20Waiswa"> Daniel Waiswa</a>, <a href="https://publications.waset.org/abstracts/search?q=Mary%20Nsabagwa"> Mary Nsabagwa</a>, <a href="https://publications.waset.org/abstracts/search?q=Triphonia%20Jacob%20Ngailo"> Triphonia Jacob Ngailo</a>, <a href="https://publications.waset.org/abstracts/search?q=Joachim%20Reuder"> Joachim Reuder</a>, <a href="https://publications.waset.org/abstracts/search?q=Sch%C2%A8attler%20Ulrich"> Sch篓attler Ulrich</a>, <a href="https://publications.waset.org/abstracts/search?q=Musa%20Semujju"> Musa Semujju</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Numerical weather prediction (NWP) models are considered powerful tools for guiding quantitative rainfall prediction. A couple of NWP models exist and are used at many operational weather prediction centers. This study considers two models namely the Consortium for Small–scale Modeling (COSMO) model and the Weather Research and Forecasting (WRF) model. It compares the models’ ability to predict rainfall over Uganda for the period 21st April 2013 to 10th May 2013 using the root mean square (RMSE) and the mean error (ME). In comparing the performance of the models, this study assesses their ability to predict light rainfall events and extreme rainfall events. All the experiments used the default parameterization configurations and with same horizontal resolution (7 Km). The results show that COSMO model had a tendency of largely predicting no rain which explained its under–prediction. The COSMO model (RMSE: 14.16; ME: -5.91) presented a significantly (p = 0.014) higher magnitude of error compared to the WRF model (RMSE: 11.86; ME: -1.09). However the COSMO model (RMSE: 3.85; ME: 1.39) performed significantly (p = 0.003) better than the WRF model (RMSE: 8.14; ME: 5.30) in simulating light rainfall events. All the models under–predicted extreme rainfall events with the COSMO model (RMSE: 43.63; ME: -39.58) presenting significantly higher error magnitudes than the WRF model (RMSE: 35.14; ME: -26.95). This study recommends additional diagnosis of the models’ treatment of deep convection over the tropics. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=comparative%20performance" title="comparative performance">comparative performance</a>, <a href="https://publications.waset.org/abstracts/search?q=the%20COSMO%20model" title=" the COSMO model"> the COSMO model</a>, <a href="https://publications.waset.org/abstracts/search?q=the%20WRF%20model" title=" the WRF model"> the WRF model</a>, <a href="https://publications.waset.org/abstracts/search?q=light%20rainfall%20events" title=" light rainfall events"> light rainfall events</a>, <a href="https://publications.waset.org/abstracts/search?q=extreme%20rainfall%20events" title=" extreme rainfall events"> extreme rainfall events</a> </p> <a href="https://publications.waset.org/abstracts/88050/a-comparative-analysis-of-the-performance-of-cosmo-and-wrf-models-in-quantitative-rainfall-prediction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/88050.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">261</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">2830</span> Identifying Critical Links of a Transport Network When Affected by a Climatological Hazard</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Beatriz%20Martinez-Pastor">Beatriz Martinez-Pastor</a>, <a href="https://publications.waset.org/abstracts/search?q=Maria%20Nogal"> Maria Nogal</a>, <a href="https://publications.waset.org/abstracts/search?q=Alan%20O%27Connor"> Alan O'Connor</a> </p> <p class="card-text"><strong>Abstract:</strong></p> During the last years, the number of extreme weather events has increased. A variety of extreme weather events, including river floods, rain-induced landslides, droughts, winter storms, wildfire, and hurricanes, have threatened and damaged many different regions worldwide. These events have a devastating impact on critical infrastructure systems resulting in high social, economical and environmental costs. These events have a huge impact in transport systems. Since, transport networks are completely exposed to every kind of climatological perturbations, and its performance is closely related with these events. When a traffic network is affected by a climatological hazard, the quality of its service is threatened, and the level of the traffic conditions usually decreases. With the aim of understanding this process, the concept of resilience has become most popular in the area of transport. Transport resilience analyses the behavior of a traffic network when a perturbation takes place. This holistic concept studies the complete process, from the beginning of the perturbation until the total recovery of the system, when the perturbation has finished. Many concepts are included in the definition of resilience, such as vulnerability, redundancy, adaptability, and safety. Once the resilience of a transport network can be evaluated, in this case, the methodology used is a dynamic equilibrium-restricted assignment model that allows the quantification of the concept, the next step is its improvement. Through the improvement of this concept, it will be possible to create transport networks that are able to withstand and have a better performance under the presence of climatological hazards. Analyzing the impact of a perturbation in a traffic network, it is observed that the response of the different links, which are part of the network, can be completely different from one to another. Consequently and due to this effect, many questions arise, as what makes a link more critical before an extreme weather event? or how is it possible to identify these critical links? With this aim, and knowing that most of the times the owners or managers of the transport systems have limited resources, the identification of the critical links of a transport network before extreme weather events, becomes a crucial objective. For that reason, using the available resources in the areas that will generate a higher improvement of the resilience, will contribute to the global development of the network. Therefore, this paper wants to analyze what kind of characteristic makes a link a critical one when an extreme weather event damages a transport network and finally identify them. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=critical%20links" title="critical links">critical links</a>, <a href="https://publications.waset.org/abstracts/search?q=extreme%20weather%20events" title=" extreme weather events"> extreme weather events</a>, <a href="https://publications.waset.org/abstracts/search?q=hazard" title=" hazard"> hazard</a>, <a href="https://publications.waset.org/abstracts/search?q=resilience" title=" resilience"> resilience</a>, <a href="https://publications.waset.org/abstracts/search?q=transport%20network" title=" transport network"> transport network</a> </p> <a href="https://publications.waset.org/abstracts/56271/identifying-critical-links-of-a-transport-network-when-affected-by-a-climatological-hazard" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/56271.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">286</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">2829</span> The Impacts of Land Use Change and Extreme Precipitation Events on Ecosystem Services</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Szu-Hua%20Wang">Szu-Hua Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Urban areas contain abundant potential biochemical storages and renewable and non-renewable flows. Urban natural environments for breeding natural assets and urban economic development for maintaining urban functions can be analyzed form the concept of ecological economic system. Land use change and ecosystem services change are resulting from the interactions between human activities and environments factually. Land use change due to human activities is the major cause of climate change, leading to serious impacts on urban ecosystem services, including provisioning services, regulating services, cultural services and supporting services. However, it lacks discussion on the interactions among urban land use change, ecosystem services change, and extreme precipitation events. Energy synthesis can use the same measure standard unit, solar energy, for different energy resources (e.g. sunlight, water, fossil fuels, minerals, etc.) and analyze contributions of various natural environmental resources on human economic systems. Therefore, this research adopts the concept of ecological, economic systems and energy synthesis for analyzing dynamic spatial impacts of land use change on ecosystem services, using the Taipei area as a case study. The analysis results show that changes in land use in the Taipei area, especially the conversion of natural lands and agricultural lands to urban lands, affect the ecosystem services negatively. These negative effects become more significant during the extreme precipitation events. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=urban%20ecological%20economic%20system" title="urban ecological economic system">urban ecological economic system</a>, <a href="https://publications.waset.org/abstracts/search?q=extreme%20precipitation%20events" title=" extreme precipitation events"> extreme precipitation events</a>, <a href="https://publications.waset.org/abstracts/search?q=ecosystem%20services" title=" ecosystem services"> ecosystem services</a>, <a href="https://publications.waset.org/abstracts/search?q=energy" title=" energy"> energy</a> </p> <a href="https://publications.waset.org/abstracts/91043/the-impacts-of-land-use-change-and-extreme-precipitation-events-on-ecosystem-services" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/91043.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">190</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">2828</span> Analysis of the Extreme Hydrometeorological Events in the Theorical Hydraulic Potential and Streamflow Forecast</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sara%20Patricia%20Ibarra-Zavaleta">Sara Patricia Ibarra-Zavaleta</a>, <a href="https://publications.waset.org/abstracts/search?q=Rabindranarth%20Romero-Lopez"> Rabindranarth Romero-Lopez</a>, <a href="https://publications.waset.org/abstracts/search?q=Rosario%20Langrave"> Rosario Langrave</a>, <a href="https://publications.waset.org/abstracts/search?q=Annie%20Poulin"> Annie Poulin</a>, <a href="https://publications.waset.org/abstracts/search?q=Gerald%20Corzo"> Gerald Corzo</a>, <a href="https://publications.waset.org/abstracts/search?q=Mathias%20Glaus"> Mathias Glaus</a>, <a href="https://publications.waset.org/abstracts/search?q=Ricardo%20Vega-Azamar"> Ricardo Vega-Azamar</a>, <a href="https://publications.waset.org/abstracts/search?q=Norma%20Angelica%20Oropeza"> Norma Angelica Oropeza</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The progressive change in climatic conditions worldwide has increased frequency and severity of extreme hydrometeorological events (EHE). Mexico is an example; this has been affected by the presence of EHE leaving economic, social and environmental losses. The objective of this research was to apply a Canadian distributed hydrological model (DHM) to tropical conditions and to evaluate its capacity to predict flows in a basin in the central Gulf of Mexico. In addition, the DHM (once calibrated and validated) was used to calculate the theoretical hydraulic power and the performance to predict streamflow before the presence of an EHE. The results of the DHM show that the goodness of fit indicators between the observed and simulated flows in the calibration process (NSE=0.83, RSR=0.021 and BIAS=-4.3) and validation: temporal was assessed at two points: point one (NSE=0.78, RSR=0.113 and BIAS=0.054) and point two (NSE=0.825, RSR=0.103 and BIAS=0.063) are satisfactory. The DHM showed its applicability in tropical environments and its ability to characterize the rainfall-runoff relationship in the study area. This work can serve as a tool for identifying vulnerabilities before floods and for the rational and sustainable management of water resources. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=HYDROTEL" title="HYDROTEL">HYDROTEL</a>, <a href="https://publications.waset.org/abstracts/search?q=hydraulic%20power" title=" hydraulic power"> hydraulic power</a>, <a href="https://publications.waset.org/abstracts/search?q=extreme%20hydrometeorological%20events" title=" extreme hydrometeorological events"> extreme hydrometeorological events</a>, <a href="https://publications.waset.org/abstracts/search?q=streamflow" title=" streamflow"> streamflow</a> </p> <a href="https://publications.waset.org/abstracts/85335/analysis-of-the-extreme-hydrometeorological-events-in-the-theorical-hydraulic-potential-and-streamflow-forecast" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/85335.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">341</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">2827</span> Analysis of the Statistical Characterization of Significant Wave Data Exceedances for Designing Offshore Structures</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rui%20Teixeira">Rui Teixeira</a>, <a href="https://publications.waset.org/abstracts/search?q=Alan%20O%E2%80%99Connor"> Alan O鈥機onnor</a>, <a href="https://publications.waset.org/abstracts/search?q=Maria%20Nogal"> Maria Nogal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The statistical theory of extreme events is progressively a topic of growing interest in all the fields of science and engineering. The changes currently experienced by the world, economic and environmental, emphasized the importance of dealing with extreme occurrences with improved accuracy. When it comes to the design of offshore structures, particularly offshore wind turbines, the importance of efficiently characterizing extreme events is of major relevance. Extreme events are commonly characterized by extreme values theory. As an alternative, the accurate modeling of the tails of statistical distributions and the characterization of the low occurrence events can be achieved with the application of the Peak-Over-Threshold (POT) methodology. The POT methodology allows for a more refined fit of the statistical distribution by truncating the data with a minimum value of a predefined threshold u. For mathematically approximating the tail of the empirical statistical distribution the Generalised Pareto is widely used. Although, in the case of the exceedances of significant wave data (H_s) the 2 parameters Weibull and the Exponential distribution, which is a specific case of the Generalised Pareto distribution, are frequently used as an alternative. The Generalized Pareto, despite the existence of practical cases where it is applied, is not completely recognized as the adequate solution to model exceedances over a certain threshold u. References that set the Generalised Pareto distribution as a secondary solution in the case of significant wave data can be identified in the literature. In this framework, the current study intends to tackle the discussion of the application of statistical models to characterize exceedances of wave data. Comparison of the application of the Generalised Pareto, the 2 parameters Weibull and the Exponential distribution are presented for different values of the threshold u. Real wave data obtained in four buoys along the Irish coast was used in the comparative analysis. Results show that the application of the statistical distributions to characterize significant wave data needs to be addressed carefully and in each particular case one of the statistical models mentioned fits better the data than the others. Depending on the value of the threshold u different results are obtained. Other variables of the fit, as the number of points and the estimation of the model parameters, are analyzed and the respective conclusions were drawn. Some guidelines on the application of the POT method are presented. Modeling the tail of the distributions shows to be, for the present case, a highly non-linear task and, due to its growing importance, should be addressed carefully for an efficient estimation of very low occurrence events. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=extreme%20events" title="extreme events">extreme events</a>, <a href="https://publications.waset.org/abstracts/search?q=offshore%20structures" title=" offshore structures"> offshore structures</a>, <a href="https://publications.waset.org/abstracts/search?q=peak-over-threshold" title=" peak-over-threshold"> peak-over-threshold</a>, <a href="https://publications.waset.org/abstracts/search?q=significant%20wave%20data" title=" significant wave data"> significant wave data</a> </p> <a href="https://publications.waset.org/abstracts/56287/analysis-of-the-statistical-characterization-of-significant-wave-data-exceedances-for-designing-offshore-structures" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/56287.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">272</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">2826</span> Trends in Extreme Rainfall Events in Tasmania, Australia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Orpita%20U.%20Laz">Orpita U. Laz</a>, <a href="https://publications.waset.org/abstracts/search?q=Ataur%20Rahman"> Ataur Rahman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Climate change will affect various aspects of hydrological cycle such as rainfall. A change in rainfall will affect flood magnitude and frequency in future which will affect the design and operation of hydraulic structures. In this paper, trends in sub-hourly, sub-daily, and daily extreme rainfall events from 18 rainfall stations located in Tasmania, Australia are examined. Two non-parametric tests (Mann-Kendall and Spearman鈥檚 Rho) are applied to detect trends at 10%, 5%, and 1% significance levels. Sub-hourly (6, 12, 18, and 30 minutes) annual maximum rainfall events have been found to experience statistically significant upward trends at 10 % level of significance. However, sub-daily durations (1 hour, 3 and 12 hours) exhibit decreasing trends and no trends exists for longer duration rainfall events (e.g. 24 and 72 hours). Some of the durations (e.g. 6 minutes and 6 hours) show similar results (with upward trends) for both the tests. For 12, 18, 60 minutes and 3 hours durations both the tests show similar downward trends. This finding has important implication for Tasmania in the design of urban infrastructure where shorter duration rainfall events are more relevant for smaller urban catchments such as parking lots, roof catchments and smaller sub-divisions. <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=design%20rainfall" title=" design rainfall"> design rainfall</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=trends" title=" trends"> trends</a>, <a href="https://publications.waset.org/abstracts/search?q=Spearman%E2%80%99s%20Rho" title=" Spearman鈥檚 Rho"> Spearman鈥檚 Rho</a>, <a href="https://publications.waset.org/abstracts/search?q=Tasmania" title=" Tasmania"> Tasmania</a> </p> <a href="https://publications.waset.org/abstracts/11631/trends-in-extreme-rainfall-events-in-tasmania-australia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11631.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">213</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">2825</span> The Effects of Extreme Precipitation Events on Ecosystem Services</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Szu-Hua%20Wang">Szu-Hua Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Yi-Wen%20Chen"> Yi-Wen Chen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Urban ecosystems are complex coupled human-environment systems. They contain abundant natural resources for producing natural assets and attract urban assets to consume natural resources for urban development. Urban ecosystems provide several ecosystem services, including provisioning services, regulating services, cultural services, and supporting services. Rapid global climate change makes urban ecosystems and their ecosystem services encountering various natural disasters. Lots of natural disasters have occurred around the world under the constant changes in the frequency and intensity of extreme weather events in the past two decades. In Taiwan, hydrological disasters have been paid more attention due to the potential high sensitivity of Taiwan鈥檚 cities to climate change, and it impacts. However, climate change not only causes extreme weather events directly but also affects the interactions among human, ecosystem services and their dynamic feedback processes indirectly. Therefore, this study adopts a systematic method, solar energy synthesis, based on the concept of the eco-energy analysis. The Taipei area, the most densely populated area in Taiwan, is selected as the study area. The changes of ecosystem services between 2015 and Typhoon Soudelor have been compared in order to investigate the impacts of extreme precipitation events on ecosystem services. The results show that the forest areas are the largest contributions of energy to ecosystem services in the Taipei area generally. Different soil textures of different subsystem have various upper limits of water contents or substances. The major contribution of ecosystem services of the study area is natural hazard regulation provided by the surface water resources areas. During the period of Typhoon Soudelor, the freshwater supply in the forest areas had become the main contribution. Erosion control services were the main ecosystem service affected by Typhoon Soudelor. The second and third main ecosystem services were hydrologic regulation and food supply. Due to the interactions among ecosystem services, fresh water supply, water purification, and waste treatment had been affected severely. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ecosystem" title="ecosystem">ecosystem</a>, <a href="https://publications.waset.org/abstracts/search?q=extreme%20precipitation%20events" title=" extreme precipitation events"> extreme precipitation events</a>, <a href="https://publications.waset.org/abstracts/search?q=ecosystem%20services" title=" ecosystem services"> ecosystem services</a>, <a href="https://publications.waset.org/abstracts/search?q=solar%20energy%20synthesis" title=" solar energy synthesis"> solar energy synthesis</a> </p> <a href="https://publications.waset.org/abstracts/99640/the-effects-of-extreme-precipitation-events-on-ecosystem-services" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/99640.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">148</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">2824</span> Regionalization of IDF Curves with L-Moments for Storm Events</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Noratiqah%20Mohd%20Ariff">Noratiqah Mohd Ariff</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdul%20Aziz%20Jemain"> Abdul Aziz Jemain</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohd%20Aftar%20Abu%20Bakar"> Mohd Aftar Abu Bakar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The construction of Intensity-Duration-Frequency (IDF) curves is one of the most common and useful tools in order to design hydraulic structures and to provide a mathematical relationship between rainfall characteristics. IDF curves, especially those in Peninsular Malaysia, are often built using moving windows of rainfalls. However, these windows do not represent the actual rainfall events since the duration of rainfalls is usually prefixed. Hence, instead of using moving windows, this study aims to find regionalized distributions for IDF curves of extreme rainfalls based on storm events. Homogeneity test is performed on annual maximum of storm intensities to identify homogeneous regions of storms in Peninsular Malaysia. The L-moment method is then used to regionalized Generalized Extreme Value (GEV) distribution of these annual maximums and subsequently. IDF curves are constructed using the regional distributions. The differences between the IDF curves obtained and IDF curves found using at-site GEV distributions are observed through the computation of the coefficient of variation of root mean square error, mean percentage difference and the coefficient of determination. The small differences implied that the construction of IDF curves could be simplified by finding a general probability distribution of each region. This will also help in constructing IDF curves for sites with no rainfall station. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=IDF%20curves" title="IDF curves">IDF curves</a>, <a href="https://publications.waset.org/abstracts/search?q=L-moments" title=" L-moments"> L-moments</a>, <a href="https://publications.waset.org/abstracts/search?q=regionalization" title=" regionalization"> regionalization</a>, <a href="https://publications.waset.org/abstracts/search?q=storm%20events" title=" storm events"> storm events</a> </p> <a href="https://publications.waset.org/abstracts/42876/regionalization-of-idf-curves-with-l-moments-for-storm-events" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42876.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">528</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">2823</span> Modeling of Maximum Rainfall Using Poisson-Generalized Pareto Distribution in Kigali, Rwanda</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Emmanuel%20Iyamuremye">Emmanuel Iyamuremye</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Extreme rainfall events have caused significant damage to agriculture, ecology, and infrastructure, disruption of human activities, injury, and loss of life. They also have significant social, economic, and environmental consequences because they considerably damage urban as well as rural areas. Early detection of extreme maximum rainfall helps to implement strategies and measures, before they occur, hence mitigating the consequences. Extreme value theory has been used widely in modeling extreme rainfall and in various disciplines, such as financial markets, the insurance industry, failure cases. Climatic extremes have been analyzed by using either generalized extreme value (GEV) or generalized Pareto (GP) distributions, which provides evidence of the importance of modeling extreme rainfall from different regions of the world. In this paper, we focused on Peak Over Thresholds approach, where the Poisson-generalized Pareto distribution is considered as the proper distribution for the study of the exceedances. This research also considers the use of the generalized Pareto (GP) distribution with a Poisson model for arrivals to describe peaks over a threshold. The research used statistical techniques to fit models that used to predict extreme rainfall in Kigali. The results indicate that the proposed Poisson-GP distribution provides a better fit to maximum monthly rainfall data. Further, the Poisson-GP models are able to estimate various return levels. The research also found a slow increase in return levels for maximum monthly rainfall for higher return periods, and further, the intervals are increasingly wider as the return period is increasing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=exceedances" title="exceedances">exceedances</a>, <a href="https://publications.waset.org/abstracts/search?q=extreme%20value%20theory" title=" extreme value theory"> extreme value theory</a>, <a href="https://publications.waset.org/abstracts/search?q=generalized%20Pareto%20distribution" title=" generalized Pareto distribution"> generalized Pareto distribution</a>, <a href="https://publications.waset.org/abstracts/search?q=Poisson%20generalized%20Pareto%20distribution" title=" Poisson generalized Pareto distribution"> Poisson generalized Pareto distribution</a> </p> <a href="https://publications.waset.org/abstracts/127379/modeling-of-maximum-rainfall-using-poisson-generalized-pareto-distribution-in-kigali-rwanda" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/127379.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">135</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">2822</span> Evaluating the Impact of Extreme Weather (Flooding) Experience on Climate Change Perceptions in Accra, Ghana</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bright%20Annang%20Baah">Bright Annang Baah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Evaluating public perceptions of climate change risk and the elements that impact them has been shown to be critical in developing support for climate change action. Previous research has found a variety of elements, including the experience of extreme weather events, that impact public perceptions and worries about climate change. However, little is known about the public's perception of climate change risks and the variables that influence them in developing countries. Using a household survey, this study attempted to evaluate respondents' risk perceptions of climate change, as well as the impact of flooding experience on such beliefs. The findings demonstrate that flood victims have a greater risk perception and are more concerned about climate change than non-victims. Concerns regarding the effects of climate change, on the other hand, were found to be the lowest when compared to other pressing challenges confronting the country. This study's findings contribute to the understanding of climate change risk perception and the impact of extreme weather events from the perspective of a developing nation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=climate%20change%20risk%20perception" title="climate change risk perception">climate change risk perception</a>, <a href="https://publications.waset.org/abstracts/search?q=harsh%20weather" title=" harsh weather"> harsh weather</a>, <a href="https://publications.waset.org/abstracts/search?q=perceived%20concern" title=" perceived concern"> perceived concern</a>, <a href="https://publications.waset.org/abstracts/search?q=Accra" title=" Accra"> Accra</a>, <a href="https://publications.waset.org/abstracts/search?q=Ghana" title=" Ghana"> Ghana</a> </p> <a href="https://publications.waset.org/abstracts/185960/evaluating-the-impact-of-extreme-weather-flooding-experience-on-climate-change-perceptions-in-accra-ghana" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/185960.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">48</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">2821</span> Analysis of Drought Flood Abrupt Alternation Events and there Impacts in Kenya</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Betty%20Makena">Betty Makena</a>, <a href="https://publications.waset.org/abstracts/search?q=Tsegaye%20Tadesse"> Tsegaye Tadesse</a>, <a href="https://publications.waset.org/abstracts/search?q=Mark%20Svoboda"> Mark Svoboda</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Global warming has intensified the frequency and intensity of extreme climate disasters and led to unpredictable weather conditions. Consequently, rapid shifts between drought and floods, known as Drought-Flood Abrupt Alteration (DFAA), have become increasingly common. DFAA results in superimposed impacts of drought and floods within a short period, exacerbating the effects of the floods or drought event. Current disaster management plans often overlook DFAA events, as they primarily focus on either floods or drought. Therefore, effectively identifying DFAA events is crucial for developing effective mitigation strategies. This study aims to identify historical DFAA events in Kenya using the Long Cycle Drought-Flood Abrupt Alteration Index (LDFAI). The research will analyze the spatial distribution, temporal variation, and intensity of DFAA events from 1990 to 2023, as well as their socio-economic impacts. Understanding these events is important to develop more effective strategies to address the impacts of DFAA events. Findings from this study will inform decision making to develop coping strategies to mitigate the adverse effects of DFAA in Kenya. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=abrupt" title="abrupt">abrupt</a>, <a href="https://publications.waset.org/abstracts/search?q=alteration" title=" alteration"> alteration</a>, <a href="https://publications.waset.org/abstracts/search?q=drought" title=" drought"> drought</a>, <a href="https://publications.waset.org/abstracts/search?q=floods" title=" floods"> floods</a> </p> <a href="https://publications.waset.org/abstracts/169721/analysis-of-drought-flood-abrupt-alternation-events-and-there-impacts-in-kenya" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/169721.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">69</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">2820</span> Causes and Impacts of Marine Heatwaves in the Bay of Bengal Region in the Recent Period</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sudhanshu%20Kumar">Sudhanshu Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=Raghvendra%20Chandrakar"> Raghvendra Chandrakar</a>, <a href="https://publications.waset.org/abstracts/search?q=Arun%20Chakraborty"> Arun Chakraborty</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the ocean, the temperature extremes have the potential to devastate marine habitats, ecosystems together with ensuing socioeconomic consequences. In recent years, these extreme events are more frequent and intense globally and their increasing trend is expected to continue in the upcoming decades. It recently attracted public interest, as well as scientific researchers, which motivates us to analyze the current marine heatwave (MHW) events in the Bay of Bengal region. we have isolated 107 MHW events (above 90th percentile threshold) in this region of the Indian Ocean and investigated the variation in duration, intensity, and frequency of MHW events during our test period (1982-2021). Our study reveals that in the study region the average of three MHW events per year with an increasing linear trend of 1.11 MHW events per decade. In the analysis, we found the longest MHW event which lasted about 99 days, which is far greater than an average MHW event duration. The maximum intensity was 5.29掳C (above the climatology-mean), while the mean intensity was 2.03掳C. In addition, we observed net heat flux accompanied by anticyclonic eddies to be the primary cause of these events. Moreover, we concluded that these events affect sea surface height and oceanic productivity, highlighting the adverse impact of MHWs on marine ecosystems. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=marine%20heatwaves" title="marine heatwaves">marine heatwaves</a>, <a href="https://publications.waset.org/abstracts/search?q=global%20warming" title=" global warming"> global warming</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=sea%20surface%20temperature" title=" sea surface temperature"> sea surface temperature</a>, <a href="https://publications.waset.org/abstracts/search?q=marine%20ecosystem" title=" marine ecosystem"> marine ecosystem</a> </p> <a href="https://publications.waset.org/abstracts/148362/causes-and-impacts-of-marine-heatwaves-in-the-bay-of-bengal-region-in-the-recent-period" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148362.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">123</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">2819</span> Coastal Flood Mapping of Vulnerability Due to Sea Level Rise and Extreme Weather Events: A Case Study of St. Ives, UK</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Vavias">S. Vavias</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20R.%20Brewer"> T. R. Brewer</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20S.%20Farewell"> T. S. Farewell</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Coastal floods have been identified as an important natural hazard that can cause significant damage to the populated built-up areas, related infrastructure and also ecosystems and habitats. This study attempts to fill the gap associated with the development of preliminary assessments of coastal flood vulnerability for compliance with the EU Directive on the Assessment and Management of Flood Risks (2007/60/EC). In this context, a methodology has been created by taking into account three major parameters; the maximum wave run-up modelled from historical weather observations, the highest tide according to historic time series, and the sea level rise projections due to climate change. A high resolution digital terrain model (DTM) derived from LIDAR data has been used to integrate the estimated flood events in a GIS environment. The flood vulnerability map created shows potential risk areas and can play a crucial role in the coastal zone planning process. The proposed method has the potential to be a powerful tool for policy and decision makers for spatial planning and strategic management. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=coastal%20floods" title="coastal floods">coastal floods</a>, <a href="https://publications.waset.org/abstracts/search?q=vulnerability%20mapping" title=" vulnerability mapping"> vulnerability mapping</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=extreme%20weather%20events" title=" extreme weather events "> extreme weather events </a> </p> <a href="https://publications.waset.org/abstracts/31724/coastal-flood-mapping-of-vulnerability-due-to-sea-level-rise-and-extreme-weather-events-a-case-study-of-st-ives-uk" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31724.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">397</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">2818</span> Analysis of Extreme Rainfall Trends in Central Italy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Renato%20Morbidelli">Renato Morbidelli</a>, <a href="https://publications.waset.org/abstracts/search?q=Carla%20Saltalippi"> Carla Saltalippi</a>, <a href="https://publications.waset.org/abstracts/search?q=Alessia%20Flammini"> Alessia Flammini</a>, <a href="https://publications.waset.org/abstracts/search?q=Marco%20Cifrodelli"> Marco Cifrodelli</a>, <a href="https://publications.waset.org/abstracts/search?q=Corrado%20Corradini"> Corrado Corradini</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The trend of magnitude and frequency of extreme rainfalls seems to be different depending on the investigated area of the world. In this work, the impact of climate change on extreme rainfalls in Umbria, an inland region of central Italy, is examined using data recorded during the period 1921-2015 by 10 representative rain gauge stations. The study area is characterized by a complex orography, with altitude ranging from 200 to more than 2000 m asl. The climate is very different from zone to zone, with mean annual rainfall ranging from 650 to 1450 mm and mean annual air temperature from 3.3 to 14.2掳C. Over the past 15 years, this region has been affected by four significant droughts as well as by six dangerous flood events, all with very large impact in economic terms. A least-squares linear trend analysis of annual maximums over 60 time series selected considering 6 different durations (1 h, 3 h, 6 h, 12 h, 24 h, 48 h) showed about 50% of positive and 50% of negative cases. For the same time series the non-parametrical Mann-Kendall test with a significance level 0.05 evidenced only 3% of cases characterized by a negative trend and no positive case. Further investigations have also demonstrated that the variance and covariance of each time series can be considered almost stationary. Therefore, the analysis on the magnitude of extreme rainfalls supplies the indication that an evident trend in the change of values in the Umbria region does not exist. However, also the frequency of rainfall events, with particularly high rainfall depths values, occurred during a fixed period has also to be considered. For all selected stations the 2-day rainfall events that exceed 50 mm were counted for each year, starting from the first monitored year to the end of 2015. Also, this analysis did not show predominant trends. Specifically, for all selected rain gauge stations the annual number of 2-day rainfall events that exceed the threshold value (50 mm) was slowly decreasing in time, while the annual cumulated rainfall depths corresponding to the same events evidenced trends that were not statistically significant. Overall, by using a wide available dataset and adopting simple methods, the influence of climate change on the heavy rainfalls in the Umbria region is not detected. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=climate%20changes" title="climate changes">climate changes</a>, <a href="https://publications.waset.org/abstracts/search?q=rainfall%20extremes" title=" rainfall extremes"> rainfall extremes</a>, <a href="https://publications.waset.org/abstracts/search?q=rainfall%20magnitude%20and%20frequency" title=" rainfall magnitude and frequency"> rainfall magnitude and frequency</a>, <a href="https://publications.waset.org/abstracts/search?q=central%20Italy" title=" central Italy"> central Italy</a> </p> <a href="https://publications.waset.org/abstracts/50787/analysis-of-extreme-rainfall-trends-in-central-italy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50787.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">236</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">2817</span> Impact of Drought in Farm Level Income in the United States</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anil%20Giri">Anil Giri</a>, <a href="https://publications.waset.org/abstracts/search?q=Kyle%20Lovercamp"> Kyle Lovercamp</a>, <a href="https://publications.waset.org/abstracts/search?q=Sankalp%20Sharma"> Sankalp Sharma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Farm level incomes fluctuate significantly due to extreme weather events such as drought. In the light of recent extreme weather events it is important to understand the implications of extreme weather events, flood and drought, on farm level incomes. This study examines the variation in farm level incomes for the United States in drought and no- drought years. Factoring heterogeneity in different enterprises (crop, livestock) and geography this paper analyzes the impact of drought in farm level incomes at state and national level. Livestock industry seems to be affected more by the lag in production of input feed for production, crops, as preliminary results show. Furthermore, preliminary results also show that while crop producers are not affected much due to drought, as price and quantity effect worked on opposite direction with same magnitude, that was not the case for livestock and horticulture enterprises. Results also showed that even when price effect was not as high the crop insurance component helped absorb much of shock for crop producers. Finally, the effect was heterogeneous for different states more on the coastal states compared Midwest region. This study should generate a lot of interest from policy makers across the world as some countries are actively seeking to increase subsidies in their agriculture sector. This study shows how subsidies absorb the shocks for one enterprise more than others. Finally, this paper should also be able to give an insight to economists to design/recommend policies such that it is optimal given the production level of different enterprises in different countries. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=farm%20level%20income" title="farm level income">farm level income</a>, <a href="https://publications.waset.org/abstracts/search?q=United%20States" title=" United States"> United States</a>, <a href="https://publications.waset.org/abstracts/search?q=crop" title=" crop"> crop</a>, <a href="https://publications.waset.org/abstracts/search?q=livestock" title=" livestock"> livestock</a> </p> <a href="https://publications.waset.org/abstracts/60120/impact-of-drought-in-farm-level-income-in-the-united-states" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/60120.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">281</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">2816</span> A Co-Relational Descriptive Study to Assess the Impact of Cancer Event on Self, Family, Coping Level of Cancer Clients and Quality of Life among Them</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Padma%20Sree%20Potru">Padma Sree Potru</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Abstract: A co-relational descriptive study was conducted to assess the impact of cancer event on self, on family, coping strategies of cancer clients and quality of life among them in G.G.H., Guntur, Andhra Pradesh, India. Aim: The aim of the study was to investigate the impact of cancer events on self, on family, coping of clients and quality of life among cancer patients. Methods: 50 cancer patients were selected through random sampling technique. The data were obtained by using impact of events scale, impact on family scale, coping health inventory and WHOQOL-BREF scale. Results: The results revealed that majority (32%) of them were in the age group of 36-45 years, 72% were females, 44% were having the income of Rs. 5001-10000/- per month, 40% were working for daily wage, and 15% were newly diagnosed of cancer. Among 50 cancer patients, 65% had extreme impact of events, 61% shows extreme impact on family, 46% possess minimal coping strategies and 68% had poor quality of life. This study focuses on that there is a strong positive correlation between quality of life and coping behavior r=0.603 and also between impact of event and impact on family r=0.610, but a negative correlation existed between quality of life and impact of events r= -0.201. ANOVA test reveals that there is a significant difference between subscales of impact on family and coping behavior with f values = 3.893, 3.957 respectively. Chi-square highlights that there is a significant association between impact of events with age, occupation and impact on family with duration of illness. Conclusion: Even though cancer is a dreadful disease still there are many emerging treatment modalities and innovative procedures which are focusing on improving the standards of life among cancer clients. But all this can happen only when the clients accepts the reality, increase their willpower and confidence, desire to live, focusing on coping mechanisms and good ongoing support from the family members. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=impact%20of%20event" title="impact of event">impact of event</a>, <a href="https://publications.waset.org/abstracts/search?q=impact%20on%20family" title=" impact on family"> impact on family</a>, <a href="https://publications.waset.org/abstracts/search?q=coping" title=" coping"> coping</a>, <a href="https://publications.waset.org/abstracts/search?q=quality%20of%20event" title=" quality of event"> quality of event</a> </p> <a href="https://publications.waset.org/abstracts/8996/a-co-relational-descriptive-study-to-assess-the-impact-of-cancer-event-on-self-family-coping-level-of-cancer-clients-and-quality-of-life-among-them" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/8996.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">450</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">2815</span> Major Mechanisms of Atmospheric Moisture Transport and Their Role in Precipitation Extreme Events in the Amazonia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Luis%20Gimeno">Luis Gimeno</a>, <a href="https://publications.waset.org/abstracts/search?q=Rosmeri%20da%20Rocha"> Rosmeri da Rocha</a>, <a href="https://publications.waset.org/abstracts/search?q=Raquel%20Nieto"> Raquel Nieto</a>, <a href="https://publications.waset.org/abstracts/search?q=Tercio%20Ambrizzi"> Tercio Ambrizzi</a>, <a href="https://publications.waset.org/abstracts/search?q=Alex%20Ramos"> Alex Ramos</a>, <a href="https://publications.waset.org/abstracts/search?q=Anita%20Drumond"> Anita Drumond</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The transport of moisture from oceanic sources to the continents represents the atmospheric branch of the water cycle, forming the connection between evaporation from the ocean and precipitation over the continents. In this regard two large scale dynamical/meteorological structures appear to play a key role, namely Low Level Jet (LLJ) systems and Atmospheric Rivers (ARs). The former are particularly important in tropical and subtropical regions; the latter is mostly confined to extratropical regions. A key question relates to the anomalies in the transport of moisture observed during natural hazards related to extremes of precipitation (i.e., drought or wet spells). In this study we will be focused on these two major atmospheric moisture transport mechanisms (LLJs and ARs) and its role in precipitation extreme events (droughts and wet spells) in the Amazonia paying particular attention to i) intensification (decreasing) of moisture transport by them and its role in wet spells (droughts), and ii) changes in their positions and occurrence with associated flooding and wet spells. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=droughts" title="droughts">droughts</a>, <a href="https://publications.waset.org/abstracts/search?q=wet%20spells" title=" wet spells"> wet spells</a>, <a href="https://publications.waset.org/abstracts/search?q=amazonia" title=" amazonia"> amazonia</a>, <a href="https://publications.waset.org/abstracts/search?q=LLJs" title=" LLJs"> LLJs</a>, <a href="https://publications.waset.org/abstracts/search?q=atmospheric%20rivers" title=" atmospheric rivers"> atmospheric rivers</a> </p> <a href="https://publications.waset.org/abstracts/38231/major-mechanisms-of-atmospheric-moisture-transport-and-their-role-in-precipitation-extreme-events-in-the-amazonia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/38231.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">302</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">2814</span> An Extension of the Generalized Extreme Value Distribution</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Serge%20Provost">Serge Provost</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdous%20Saboor"> Abdous Saboor</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A q-analogue of the generalized extreme value distribution which includes the Gumbel distribution is introduced. The additional parameter q allows for increased modeling flexibility. The resulting distribution can have a finite, semi-infinite or infinite support. It can also produce several types of hazard rate functions. The model parameters are determined by making use of the method of maximum likelihood. It will be shown that it compares favourably to three related distributions in connection with the modeling of a certain hydrological data set. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=extreme%20value%20theory" title="extreme value theory">extreme value theory</a>, <a href="https://publications.waset.org/abstracts/search?q=generalized%20extreme%20value%20distribution" title=" generalized extreme value distribution"> generalized extreme value distribution</a>, <a href="https://publications.waset.org/abstracts/search?q=goodness-of-fit%20statistics" title=" goodness-of-fit statistics"> goodness-of-fit statistics</a>, <a href="https://publications.waset.org/abstracts/search?q=Gumbel%20distribution" title=" Gumbel distribution"> Gumbel distribution</a> </p> <a href="https://publications.waset.org/abstracts/72656/an-extension-of-the-generalized-extreme-value-distribution" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/72656.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">349</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">2813</span> Statistical Modelling of Maximum Temperature in Rwanda Using Extreme Value Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Emmanuel%20Iyamuremye">Emmanuel Iyamuremye</a>, <a href="https://publications.waset.org/abstracts/search?q=Edouard%20Singirankabo"> Edouard Singirankabo</a>, <a href="https://publications.waset.org/abstracts/search?q=Alexis%20Habineza"> Alexis Habineza</a>, <a href="https://publications.waset.org/abstracts/search?q=Yunvirusaba%20Nelson"> Yunvirusaba Nelson</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Temperature is one of the most important climatic factors for crop production. However, severe temperatures cause drought, feverish and cold spells that have various consequences for human life, agriculture, and the environment in general. It is necessary to provide reliable information related to the incidents and the probability of such extreme events occurring. In the 21st century, the world faces a huge number of threats, especially from climate change, due to global warming and environmental degradation. The rise in temperature has a direct effect on the decrease in rainfall. This has an impact on crop growth and development, which in turn decreases crop yield and quality. Countries that are heavily dependent on agriculture use to suffer a lot and need to take preventive steps to overcome these challenges. The main objective of this study is to model the statistical behaviour of extreme maximum temperature values in Rwanda. To achieve such an objective, the daily temperature data spanned the period from January 2000 to December 2017 recorded at nine weather stations collected from the Rwanda Meteorological Agency were used. The two methods, namely the block maxima (BM) method and the Peaks Over Threshold (POT), were applied to model and analyse extreme temperature. Model parameters were estimated, while the extreme temperature return periods and confidence intervals were predicted. The model fit suggests Gumbel and Beta distributions to be the most appropriate models for the annual maximum of daily temperature. The results show that the temperature will continue to increase, as shown by estimated return levels. <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=global%20warming" title=" global warming"> global warming</a>, <a href="https://publications.waset.org/abstracts/search?q=extreme%20value%20theory" title=" extreme value theory"> extreme value theory</a>, <a href="https://publications.waset.org/abstracts/search?q=rwanda" title=" rwanda"> rwanda</a>, <a href="https://publications.waset.org/abstracts/search?q=temperature" title=" temperature"> temperature</a>, <a href="https://publications.waset.org/abstracts/search?q=generalised%20extreme%20value%20distribution" title=" generalised extreme value distribution"> generalised extreme value distribution</a>, <a href="https://publications.waset.org/abstracts/search?q=generalised%20pareto%20distribution" title=" generalised pareto distribution"> generalised pareto distribution</a> </p> <a href="https://publications.waset.org/abstracts/132786/statistical-modelling-of-maximum-temperature-in-rwanda-using-extreme-value-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/132786.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">183</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">2812</span> An Investigation of Trends and Variability of Rainfall in Shillong City</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kamal%20Kumar%20Tanti">Kamal Kumar Tanti</a>, <a href="https://publications.waset.org/abstracts/search?q=Nayan%20Moni%20Saikia"> Nayan Moni Saikia</a>, <a href="https://publications.waset.org/abstracts/search?q=Markynti%20Swer"> Markynti Swer</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study aims to investigate and analyse the trends and variability of rainfall in Shillong and its nearby areas, located in Meghalaya hills of North-East India; which is geographically a neighbouring area to the wettest places of the Earth, i.e., Cherrapunji and Mawsynram. The analysis of variability and trends to annual, seasonal, monthly and daily rainfall was carried out, using the data collected from the IMD station at Shillong; thereby attempting to highlight whether rainfall in Shillong area has been increasing or decreasing over the years. Rainfall variability coefficient is utilized to compare the current rainfall trend of the area with its past rainfall trends. The present study also aims to analyse the frequency of occurrence of extreme rainfall events over the region. These studies will help us to establish a correlation between the current rainfall trend and climate change scenario of the study area. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=trends%20and%20variability%20of%20rainfall" title="trends and variability of rainfall">trends and variability of rainfall</a>, <a href="https://publications.waset.org/abstracts/search?q=annual" title=" annual"> annual</a>, <a href="https://publications.waset.org/abstracts/search?q=seasonal" title=" seasonal"> seasonal</a>, <a href="https://publications.waset.org/abstracts/search?q=monthly%20and%20daily%20rainfall" title=" monthly and daily rainfall"> monthly and daily rainfall</a>, <a href="https://publications.waset.org/abstracts/search?q=rainfall%20variability%20coefficient" title=" rainfall variability coefficient"> rainfall variability coefficient</a>, <a href="https://publications.waset.org/abstracts/search?q=extreme%20rainfall%20events" title=" extreme rainfall events"> extreme rainfall events</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=Shillong" title=" Shillong"> Shillong</a>, <a href="https://publications.waset.org/abstracts/search?q=Cherrapunji" title=" Cherrapunji"> Cherrapunji</a>, <a href="https://publications.waset.org/abstracts/search?q=Mawsynram" title=" Mawsynram"> Mawsynram</a> </p> <a href="https://publications.waset.org/abstracts/45927/an-investigation-of-trends-and-variability-of-rainfall-in-shillong-city" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/45927.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">270</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">2811</span> Estimating The Population Mean by Using Stratified Double Extreme Ranked Set Sample</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mahmoud%20I.%20Syam">Mahmoud I. Syam</a>, <a href="https://publications.waset.org/abstracts/search?q=Kamarulzaman%20Ibrahim"> Kamarulzaman Ibrahim</a>, <a href="https://publications.waset.org/abstracts/search?q=Amer%20I.%20Al-Omari"> Amer I. Al-Omari </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Stratified double extreme ranked set sampling (SDERSS) method is introduced and considered for estimating the population mean. The SDERSS is compared with the simple random sampling (SRS), stratified ranked set sampling (SRSS) and stratified simple set sampling (SSRS). It is shown that the SDERSS estimator is an unbiased of the population mean and more efficient than the estimators using SRS, SRSS and SSRS when the underlying distribution of the variable of interest is symmetric or asymmetric. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=double%20extreme%20ranked%20set%20sampling" title="double extreme ranked set sampling">double extreme ranked set sampling</a>, <a href="https://publications.waset.org/abstracts/search?q=extreme%20ranked%20set%20sampling" title=" extreme ranked set sampling"> extreme ranked set sampling</a>, <a href="https://publications.waset.org/abstracts/search?q=ranked%20set%20sampling" title=" ranked set sampling"> ranked set sampling</a>, <a href="https://publications.waset.org/abstracts/search?q=stratified%20double%20extreme%20ranked%20set%20sampling" title=" stratified double extreme ranked set sampling"> stratified double extreme ranked set sampling</a> </p> <a href="https://publications.waset.org/abstracts/25207/estimating-the-population-mean-by-using-stratified-double-extreme-ranked-set-sample" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25207.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">456</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">2810</span> Understanding the Nexus between Dengue and Climate Variability</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Edilene%20Mercedes%20Mauer%20Machado">Edilene Mercedes Mauer Machado</a>, <a href="https://publications.waset.org/abstracts/search?q=Carolina%20Hadassa%20Marques%20Karoly"> Carolina Hadassa Marques Karoly</a>, <a href="https://publications.waset.org/abstracts/search?q=Amanda%20Britz"> Amanda Britz</a>, <a href="https://publications.waset.org/abstracts/search?q=Claudineia%20Brazil"> Claudineia Brazil</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The El Ni帽o phenomenon, characterized by the anomalous warming of surface waters in the Equatorial Pacific Ocean, can influence weather patterns in various parts of the world, including the occurrence of extreme events such as droughts or heavy rainfall. Studies have suggested a relationship between El Ni帽o and an increase in the incidence of dengue in certain areas. During El Ni帽o periods, there can be changes in climatic conditions, such as increased temperatures and reduced rainfall in certain tropical and subtropical regions. These conditions can favor the reproduction of the Aedes aegypti mosquito, the vector for dengue transmission. Research aims to investigate how climate events like El Ni帽o and La Ni帽a can influence the incidence and transmission of dengue. The results have shown that, on average, there was a significant increase in dengue cases during La Ni帽a years compared to years of climatic neutrality, contradicting the findings of Hopp et al. (2015). The study also highlighted that regions affected by El Ni帽o exhibited greater variability in dengue incidence. However, it is important to emphasize that the effects of El Ni帽o on dengue transmission can vary depending on the region and local factors, such as socioeconomic context and implemented control measures, as described by Johansson et al. (2009). Not all areas affected by El Ni帽o will necessarily experience an increase in dengue incidence, and the interaction between climate and disease transmission is complex. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anomalous%20warming" title="anomalous warming">anomalous warming</a>, <a href="https://publications.waset.org/abstracts/search?q=climatic%20patterns" title=" climatic patterns"> climatic patterns</a>, <a href="https://publications.waset.org/abstracts/search?q=dengue%20incidence" title=" dengue incidence"> dengue incidence</a>, <a href="https://publications.waset.org/abstracts/search?q=extreme%20events" title=" extreme events"> extreme events</a> </p> <a href="https://publications.waset.org/abstracts/167534/understanding-the-nexus-between-dengue-and-climate-variability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/167534.pdf" target="_blank" class="btn btn-primary 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