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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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Tayyebeh Mesbahzadeh, Mario Marcello Miglietta, Farshad Soleimani Sardoo, Nir Krakauer and Mohammad Hasheminejad
The duration of dust days (DDD) is one of the most important parameters that may worsen the effects of the presence of dust in the affected areas. Persistent pollution over consecutive dusty days can have particularly negative effects on the human respir...
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Tarekegn Dejen Mengistu, Tolera Abdisa Feyissa, Il-Moon Chung, Sun Woo Chang, Mamuye Busier Yesuf and Esayas Alemayehu
Regional information on stream discharge is needed in order to improve flood estimates based on the limited data availability. Regional flood estimation is fundamental for designing hydraulic structures and managing flood plains and water resource projec...
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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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Abdelkader Boucefiane,Mohamed Meddi
Pág. 287 - 303
A regional statistical analysis has been established for an improved estimate of extreme frequency precipitation in the steppe area of northwestern Algeria. This analysis made it possible to determine three homogeneous regions by using methods based on s...
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Kossi Komi, Barnabas A. Amisigo, Bernd Diekkrüger and Fabien C. C. Hountondji
In the Volta River Basin, flooding has been one of the most damaging natural hazards during the last few decades. Therefore, flood frequency estimates are important for disaster risk management. This study aims at improving knowledge of flood frequencies...
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HOSSEIN MALEKINEZHAD,ARASH ZARE-GARIZI
Pág. 411 - 427
Daily extreme precipitation values are among environmental events with the most disastrous consequences for human society. Information on the magnitudes and frequencies of extreme precipitations is essential for sustainable water resources management, pl...
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K. YUREKLI,M. TAGHI SATTARI,A. S. ANLI,M. A. HINIS
This study examines the seasonal regional drought analysis based on the standardized precipitation index (SPI) method and the decision tree technique which is a data-mining approach. The cumulative rainfall series for five reference periods (four seasona...
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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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Cornel Ilinca and Cristian Gabriel Anghel
Accurately determining the maximum designed water discharges of dams is extremely important, considering the economic costs of carrying out these types of hydrotechnical works and the possible disastrous consequences resulting from their incorrect design...
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Yifan Liao, Bingzhang Lin, Xiaoyang Chen and Hui Ding
Storm separation is a key step when carrying out storm transposition analysis for Probable Maximum Precipitation (PMP) estimation in mountainous areas. The World Meteorological Organization (WMO) has recommended the step-duration-orographic-intensificati...
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Cristian Gabriel Anghel, Stefan Ciprian Stanca and Cornel Ilinca
A direct way to estimate the likelihood and magnitude of extreme events is frequency analysis. This analysis is based on historical data and assumptions of stationarity, and is carried out with the help of probability distributions and different methods ...
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Fabiola del Rosario Arellano Lara,Carlos Agustin Escalante Sandoval
Lack of data in maximum daily rainfall frequency analysis can generate inefficient estimates for design purposes. An approach to diminish these errors is to apply regional estimation techniques, which require that all stations be located at the same homo...
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C. ESCALANTE SANDOVAL
The bivariate logistic model with two-component extreme value marginal distributions (BTCEV) is applied to provide a regional at-site wind speed estimate. The maximum likelihood estimators of the parameters were obtained numerically by using a multiva...
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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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Sanjaya Devkota, Narendra Man Shakya, Karen Sudmeier-Rieux, Michel Jaboyedoff, Cees J. Van Westen, Brian G. Mcadoo and Anu Adhikari
Intense monsoonal rain is one of the major triggering factors of floods and mass movements in Nepal that needs to be better understood in order to reduce human and economic losses and improve infrastructure planning and design. This phenomena is better u...
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Md Ashraful Alam, Kazuo Emura, Craig Farnham and Jihui Yuan
The study of frequency analysis is important to find the most suitable model that could anticipate extreme events of certain natural phenomena e.g., rainfall, floods, etc. The goal of this study is to determine the best-fit probability distributions in t...
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