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Rafiu Oyelakin, Wenyu Yang and Peter Krebs
Fitting probability distribution functions to observed data is the standard way to compute future design floods, but may not accurately reflect the projected future pattern of extreme events related to climate change. In applying the latest coupled model...
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Cagri Alperen Inan, Ammar Maoui, Yann Lucas and Joëlle Duplay
Water resource management scenarios have become more crucial for arid to semi-arid regions. Their application prerequisites rigorous hydrological modelling approaches since data are usually exposed to uncertainties and inaccuracies. In this work, Soil Wa...
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Antoine Picard, Florent Barbecot, Gérard Bardoux, Pierre Agrinier, Marina Gillon, José A. Corcho Alvarado, Vincent Schneider, Jean-François Hélie and Frédérick de Oliveira
Accurate discharge measurement is mandatory for any hydrological study. While the ?velocity? measurement method is adapted to laminar flows, the ?dilution? method is more appropriate for turbulent streams. As most low-gradient streams worldwide are neith...
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Evangelos Rozos
Machine learning has been used in hydrological applications for decades, and recently, it was proven to be more efficient than sophisticated physically based modelling techniques. In addition, it has been used in hybrid frameworks that combine hydrologic...
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Usman Mohseni, Prasit G. Agnihotri, Chaitanya B. Pande and Bojan Durin
Understanding the likely impacts of climate change (CC) and Land Use Land Cover (LULC) on water resources (WR) is critical for a water basin?s mitigation. The present study intends to quantify the impact of (CC) and (LULC) on the streamflow (SF) of the P...
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