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Water 2017, 9(3), 186; doi:10.3390/w9030186

Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling

Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hunghom, Kowloon, Hong Kong
Academic Editor: Arjen Y. Hoekstra
Received: 20 December 2016 / Accepted: 2 March 2017 / Published: 6 March 2017
(This article belongs to the Special Issue Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling)
View Full-Text   |   Download PDF [163 KB, uploaded 6 March 2017]

Abstract

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 can contribute to the development and implementation of effective hydrological predictions, and thus, of appropriate precautionary measures. View Full-Text
Keywords: rainfall-runoff; meta-heuristic; data-driven; modeling; flood; prediction rainfall-runoff; meta-heuristic; data-driven; modeling; flood; prediction
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Chau, K.-W. Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling. Water 2017, 9, 186.

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