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Title: Use of meta-heuristic techniques in rainfall-runoff modelling
Authors: Chau, KW 
Issue Date: 2017
Source: Water, Mar. 2017, v. 9, no. 3, 186, p. 1-6
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.
Keywords: Rainfall-runoff
Meta-heuristic
Data-driven
Modeling
Flood
Prediction
Publisher: Molecular Diversity Preservation International (MDPI)
Journal: Water 
ISSN: 2073-4441
DOI: 10.3390/w9030186
Rights: © 2017 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
The following publication Chau, K.-W. Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling. Water 2017, 9, 3, 186,1-6 is available at https://dx.doi.org/10.3390/w9030186
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