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Andrea Petroselli, Ciro Apollonio, Davide Luciano De Luca, Pietro Salvaneschi, Massimo Pecci, Tatiana Marras and Bartolomeo Schirone
Soil erosion caused by intense rainfall events is one of the major problems affecting agricultural and forest ecosystems. The Universal Soil Loss Equation (USLE) is probably the most adopted approach for rainfall erosivity estimation, but in order to be ...
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Giuseppina Brigandì and Giuseppe T. Aronica
The aim of this paper is to present a stochastic model to generate sub-hourly rainfall events at a given point. Historical events used as the input have been extracted by the sub-hourly rainfall series available for a defined rain gauge station based on ...
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Nuno Eduardo Simões, Susana Ochoa-Rodríguez, Li-Pen Wang, Rui Daniel Pina, Alfeu Sá Marques, Christian Onof and João P. Leitão
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Nuno Eduardo Simões, Susana Ochoa-Rodríguez, Li-Pen Wang, Rui Daniel Pina, Alfeu Sá Marques, Christian Onof and João P. Leitão
It is a common practice to assign the return period of a given storm event to the urban pluvial flood event that such storm generates. However, this approach may be inappropriate as rainfall events with the same return period can produce different urban ...
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Davide Luciano De Luca and Andrea Petroselli
The MS Excel file with VBA (Visual Basic for Application) macros named STORAGE (STOchastic RAinfall GEnerator) is introduced herein. STORAGE is a temporal stochastic simulator aiming at generating long and high-resolution rainfall time series, and it is ...
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Mayra Codo and Miguel A. Rico-Ramirez
Radar rainfall forecasting is of major importance to predict flows in the sewer system to enhance early flood warning systems in urban areas. In this context, reducing radar rainfall estimation uncertainties can improve rainfall forecasts. This study uti...
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Kwong Fai A. Lo and Suranjith Bandara Koralegedara
Cities are becoming increasingly vulnerable to water-related issues due to rapid urbanization, installation of complex infrastructure and changes in rainfall patterns. This study aims at assessing the impacts of climate change on rainwater harvesting sys...
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Ramón Domínguez Mora,Maritza Liliana Arganis Juárez,Alejandro Mendoza Resendiz,Eliseo Carrizosa Elizondo,Bernardo Echavarría Soto
A first procedure to generate synthetic storms, which preserves the statistical characteristics of the historical daily precipitation events registered in 49 stations located within the basin of Mexico City is presented. This procedure (a variation of th...
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Ivan Gabriel-Martin, Alvaro Sordo-Ward, Luis Garrote and Juan T. García
This paper focuses on proposing the minimum number of storms necessary to derive the extreme flood hydrographs accurately through event-based modelling. To do so, we analyzed the results obtained by coupling a continuous stochastic weather generator (the...
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Ashish Shrestha, Mukand Singh Babel, Sutat Weesakul and Zoran Vojinovic
The magnitude and frequency of hydrological events are expected to increase in coming years due to climate change in megacities of Asia. Intensity?Duration?Frequency (IDF) curves represent essential means to study effects on the performance of drainage s...
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Ashish Shrestha, Mukand Singh Babel, Sutat Weesakul, Zoran Vojinovic
Pág. 1 - 22
The magnitude and frequency of hydrological events are expected to increase in coming years due to climate change in megacities of Asia. Intensity?Duration?Frequency (IDF) curves represent essential means to study effects on the performance of drainage s...
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Davide Luciano De Luca and Luciano Galasso
In this work, the authors investigated the feasibility of calibrating a model which is suitable for the generation of continuous high-resolution rainfall series, by using only data from annual maximum rainfall (AMR) series, which are usually longer than ...
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Pao-Shan Yu, Tao-Chang Yang, Chen-Min Kuo, Hung-Wei Tseng and Shien-Tsung Chen
The study aims to assess climate change impacts on streamflow drought in a catchment upstream of Tseng-Wen Reservoir which is the main water supplier in southern Taiwan. A singular-value-decomposition statistical downscaling method and a stochastic weath...
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Francesco Viola, Domenico Caracciolo, Dario Pumo, Leonardo V. Noto and Goffredo La Loggia
The olive tree is one of the most characteristic rainfed trees in the Mediterranean region. Observed and forecasted climate modifications in this region, such as the CO2 concentration and temperature increase and the net radiation, rainfall and wind spee...
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Davide Luciano De Luca, Ciro Apollonio and Andrea Petroselli
Rainfall-runoff modelling in small and ungauged basins represents one of the most common practices in hydrology. However, it remains a challenging task for researchers and practitioners, in particular in a climate change context and in areas subject to d...
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Khalid Alotaibi, Abdul Razzaq Ghumman, Husnain Haider, Yousry Mahmoud Ghazaw and Md. Shafiquzzaman
Future predictions of rainfall patterns in water-scarce regions are highly important for effective water resource management. Global circulation models (GCMs) are commonly used to make such predictions, but these models are highly complex and expensive. ...
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Isabel Flores-Montoya, Álvaro Sordo-Ward, Luis Mediero, Luis Garrote
Pág. 1 - 20
An adequate estimation of the extreme behavior of basin response is essential both for designing river structures and for evaluating their risk. The aim of this paper is to develop a new methodology to generate extreme hydrograph series of thousands of y...
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Isabel Flores-Montoya, Álvaro Sordo-Ward, Luis Mediero and Luis Garrote
An adequate estimation of the extreme behavior of basin response is essential both for designing river structures and for evaluating their risk. The aim of this paper is to develop a new methodology to generate extreme hydrograph series of thousands of y...
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