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Masoud Jafari Shalamzari, Wanchang Zhang, Atefeh Gholami and Zhijie Zhang
Site selection for runoff harvesting at large scales is a very complex task. It requires inclusion and spatial analysis of a multitude of accurately measured parameters in a time-efficient manner. Compared with direct measurements of runoff, which is tim...
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Hew Cameron Merrett and Jao-Jia Horng
In drinking water catchments, exploiting ecosystem services provided by stream buffers has the potential to complement conventional engineering solutions such as water treatment and reduce the overall public health risks to consumers. These stream buffer...
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Raúl F. Vázquez, Josué E. Brito, Henrietta Hampel and Stephen Birkinshaw
Despite recent progress in terms of cheap computing power, the application of physically-based distributed (PBD) hydrological codes still remains limited, particularly, because some commercial-license codes are expensive, even under academic terms. Thus,...
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Evangelos Rozos, Panayiotis Dimitriadis and Vasilis Bellos
Machine learning has been employed successfully as a tool virtually in every scientific and technological field. In hydrology, machine learning models first appeared as simple feed-forward networks that were used for short-term forecasting, and have evol...
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Annalina Lombardi, Davide Gallicchio, Barbara Tomassetti, Edoardo Raparelli, Paolo Tuccella, Raffaele Lidori, Marco Verdecchia and Valentina Colaiuda
Central Italy is characterized by complex orography. The territorial response to heavy precipitation may activate different processes in terms of hydrogeological hazards. Floods, flash floods, and wet mass movements are the main ground effects triggered ...
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Muhammad Usman, Rodrigo Manzanas, Christopher E. Ndehedehe, Burhan Ahmad, Oluwafemi E. Adeyeri and Cornelius Dudzai
This work evaluates the suitability of linear scaling (LS) and empirical quantile mapping (EQM) bias correction methods to generate present and future hydrometeorological variables (precipitation, temperature, and streamflow) over the Chitral River Basin...
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Wafa Chouaib, Younes Alila and Peter V. Caldwell
This study seeks to advance the knowledge about the effect of a priori parameters on calibration using the Sacramento Soil Moisture accounting Model (SAC-SMA). We investigated the catchment characteristics where calibration is most affected by the limita...
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Md Jahangir Alam and Dushmanta Dutta
Nutrient pollution is one of the major issues in water resources management, which has drawn significant investments into the development of many modelling tools to solve pollution problems worldwide. However, the situation remains unchanged, even likely...
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Minh Tuan Bui, Jinmei Lu and Linmei Nie
The Arctic region is the most sensitive region to climate change. Hydrological models are fundamental tools for climate change impact assessment. However, due to the extreme weather conditions, specific hydrological process, and data acquisition challeng...
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Chengming Li, Zixian Fan, Zheng Wu, Zhaoxin Dai, Li Liu and Chengcheng Zhang
Catchment division constitutes the foundation for urban water flood forecasting but represents a technically challenging task. The accurate division of catchments is significant for precisely forecasting urban waterlogging. However, existing catchment di...
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