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Rafael García Cueto,Néstor Santillán Soto,Margarito Quintero Nuñez,Sara Ojeda Benitez,Nicolás Velázquez Limón
Extreme weather events can have severe consequences for the population and the environment. Therefore, in this study a temporal trend of annual temperatures was built with a time series from 1950 to 2010 for Mexicali, Mexico, and estimates of 5- to 100-y...
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Gianni Vesuviano, Adam Griffin and Elizabeth Stewart
Monsoon-related extreme flood events are experienced regularly across India, bringing costly damage, disruption and death to local communities. This study provides a route towards estimating the likely magnitude of extreme floods (e.g., the 1-in-100-year...
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Huijun Gao, Zhuxiao Shao, Guoxiang Wu and Ping Li
The study of extreme waves is important for the protection of coastal and ocean structures. In this work, a 22-year (1990?2011) wave hindcast in the Yellow Sea is employed to perform the assessment of extreme significant wave heights in this area. To ext...
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B. TENCER,M. RUSTICUCCI
The frequency of occurrence of temperature extreme events has changed throughout the last century: significant positive trends in warm nights and negative trends in cold nights have been observed all over the world. In Argentina, the probability of occur...
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Martha Rosa Valdiviezo Márquez, José Simón Fermín
Los índices de capacidad de procesos (ICP) son un medio altamente efectivo de determinar la calidad del producto y desempeño del proceso. Entre muchos índices de capacidad de procesos desarrollados, Cp, Cpk, Cpm y Cpmk son los cuatro índices más populare...
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Jaime Enrique Lincovil,Chang Chiann
Pág. 56 - 76
Evaluating forecasts of risk measures, such as value?at?risk (VaR) and expected shortfall (ES), is an important process for financial institutions. Backtesting procedures were introduced to assess the efficiency of these forecasts. In this paper, we comp...
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Charles Onyutha
Some of the problems in drought assessments are that: analyses tend to focus on coarse temporal scales, many of the methods yield skewed indices, a few terminologies are ambiguously used, and analyses comprise an implicit assumption that the observations...
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Amr Gharib, Evan G. R. Davies, Greg G. Goss and Monireh Faramarzi
Floods are costly natural disasters that are projected to increase in severity and frequency into the future. Exceedances over a high threshold and analysis of their distributions, as determined through the Peak Over Threshold (POT) method and approximat...
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Amr Gharib, Evan G. R. Davies, Greg G. Goss, Monireh Faramarzi
Pág. 1 - 17
Floods are costly natural disasters that are projected to increase in severity and frequency into the future. Exceedances over a high threshold and analysis of their distributions, as determined through the Peak Over Threshold (POT) method and approximat...
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Zaved Khan, Ataur Rahman and Fazlul Karim
Reducing uncertainty in design flood estimates is an essential part of flood risk planning and management. This study presents results from flood frequency estimates and associated uncertainties for five commonly used probability distribution functions, ...
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Cornel Ilinca, Stefan Ciprian Stanca and Cristian Gabriel Anghel
This study examines all of the equations necessary to derive the parameters for seven probability distributions of three parameters typically used in flood frequency research, namely the Pearson III (PE3), the generalized extreme value (GEV), the Weibull...
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Khaled Elkersh, Serter Atabay and Abdullah Gokhan Yilmaz
This paper aims to present the result of commonly used extreme wave analysis distribution methods applied to a long-term wave hindcast at a point in the Arabian Gulf near the coastline of Dubai, United Arab Emirates. The wave data were hindcasted for a t...
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Efthymios Stathakis, Theophilos Papadimitriou, Periklis Gogas
Pág. 65 - 87
Electricity markets are considered to be the most volatile amongst commodity markets. The non-storability of electricity and the need for instantaneous balancing of demand and supply can often cause extreme short-lived fluctuations in electricity prices....
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Efthymios Stathakis, Theophilos Papadimitriou, Periklis Gogas
Electricity markets are considered to be the most volatile amongst commodity markets. The non-storability of electricity and the need for instantaneous balancing of demand and supply can often cause extreme short-lived fluctuations in electricity prices....
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Beáta Szabó-Takács, Ale? Farda, Petr Skalák and Jan Meitner
Our goal was to investigate the influence of bias correction methods on climate simulations over the European domain. We calculated the Köppen-Geiger climate classification using five individual regional climate models (RCM) of the ENSEMBLES project in t...
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Dong Dai, Du Chen, Shumao Wang, Song Li, Xu Mao, Bin Zhang, Zhenyu Wang and Zheng Ma
Effective indoor testing on a four-poster rig of agricultural machinery should mimic the real-world environment while the machinery is in farming and transportation. The emerging load spectrum extrapolation and compilation are capable of speeding up the ...
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Filip Strnad, Vojtech Moravec, Yannis Markonis, Petr Máca, Jan Masner, Michal Stoces and Martin Hanel
Modelling of hydrological extremes and drought modelling in particular has received much attention over recent decades. The main aim of this study is to apply a statistical model for drought estimation (in this case deficit volume) using extreme value th...
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Eva Audrey Yessito Houessou-Dossou, John Mwangi Gathenya, Mugwima Njuguna and Zachary Abiero Gariy
Flood management requires in-depth computational modelling through assessment of flood return period and river flow data in order to effectively analyze catchment response. The participatory geographic information system (PGIS) is a tool which is increas...
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Yonggang Ma, Yue Huang and Tie Liu
Due to an absence of an essential daily data set, changing characteristics, and cause of flow extremes in the Tianshan Mountains are rarely explored in depth. In this study, daily based long-term meteorological and hydrological observation data were coll...
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Tianlong Li, Tao Zhang and Wenhua Li
This paper presents a two-step approach for optimizing the configuration of a mobile photovoltaic-diesel-storage microgrid system. Initially, we developed a planning configuration model to ensure a balance between the mobility of components and a sustain...
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