Special Issue "Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling"
A special issue of Water (ISSN 2073-4441).
Deadline for manuscript submissions: closed (20 December 2015)
A printed edition of this Special Issue is available here.
Prof. Kwok-wing Chau
Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hunghom, Kowloon, Hong Kong
Phone: +(852) 2766 6014
Interests: artificial intelligence, hydrology, soft computing, water quality, meta-heuristic algorithm, hydrodynamic, rainfall, runoff
Each year, extreme floods, which appear to be occurring more frequently in recent years (owing to climate change), lead to enormous economic damage and human suffering around the world. It is therefore imperative to be able to accurately predict both the occurrence time and magnitude of peak discharge in advance of an impending flood event. The use of meta-heuristic techniques in rainfall-runoff modeling is a growing field of endeavor in water resources management. These techniques can be used to calibrate data-driven rainfall-runoff models to improve forecasting accuracies. This Special Issue of the journal, Water, is designed to fill the analytical void by including papers concerning advances in the contemporary use of meta-heuristic techniques in rainfall-runoff modeling. The information and analyses are intended to contribute to the development and implementation of effective hydrological predictions, and thus, of appropriate precautionary measures.
Prof. Dr. Kwok-Wing Chau
Manuscript Submission Information
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