Identifying low impact development strategies for flood mitigation using a fuzzy-probabilistic approach

Low impact development (LID) includes strategies and practices that are designed to control surface runoff at its sources in a sustainable way. The performance of these strategies has been frequently addressed through curve number approach. This approach however subjects to a great deal of uncertain...

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Veröffentlicht in:	Environmental modelling & software : with environment data news Jg. 60; S. 31 - 44
Hauptverfasser:	Yazdi, J., Salehi Neyshabouri, S.A.A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.10.2014 Elsevier
Schlagworte:	algorithms Animal, plant and microbial ecology ANN Biological and medical sciences case studies computer software Copula cost effectiveness environmental models Flood risk Floods Fundamental and applied biological sciences. Psychology Fuzzy General aspects. Techniques Learning theory Low impact development Mathematical analysis Mathematical models mathematical theory Methodology Methods and techniques (sampling, tagging, trapping, modelling...) Neural networks NSGA-II Optimization risk management runoff Strategy Uncertainty Low impact development NSGA-II ANN Uncertainty Copula Flood risk Fuzzy Optimization Probabilistic approach Risk Flood Development Mitigation measure Strategy
ISSN:	1364-8152
Online-Zugang:	Volltext
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