Flood susceptibility mapping using novel ensembles of adaptive neuro fuzzy inference system and metaheuristic algorithms

Flood is one of the most destructive natural disasters which cause great financial and life losses per year. Therefore, producing susceptibility maps for flood management are necessary in order to reduce its harmful effects. The aim of the present study is to map flood hazard over the Jahrom Townshi...

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Vydáno v:	The Science of the total environment Ročník 615; s. 438 - 451
Hlavní autoři:	Razavi Termeh, Seyed Vahid, Kornejady, Aiding, Pourghasemi, Hamid Reza, Keesstra, Saskia
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Netherlands Elsevier B.V 15.02.2018
Témata:	algorithms altitude ANFIS Ant colony computer software disasters flood control Flood susceptibility mapping fuzzy logic Genetic algorithm geographic information systems land cover land use planning model validation neural networks Particle swarm optimization rain rivers streams system optimization Ant colony ANFIS Genetic algorithm Particle swarm optimization Flood susceptibility mapping
ISSN:	0048-9697, 1879-1026, 1879-1026
On-line přístup:	Získat plný text
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