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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Vydáno v:	Environmental modelling & software : with environment data news Ročník 60; s. 31 - 44
Hlavní autoři:	Yazdi, J., Salehi Neyshabouri, S.A.A.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford Elsevier Ltd 01.10.2014 Elsevier
Témata:	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
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