Urban flooding risk assessment based on an integrated k-means cluster algorithm and improved entropy weight method in the region of Haikou, China

[Display omitted] •An improved entropy-cluster algorithm approach was used to develop the flood risk map.•The index weights were calculated by integrating entropy weight and AHP method.•Traditional cluster algorithm and TOPSIS method were used as a comparison.•Flood risk can be mitigated by adopting...

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Bibliographic Details
Published in:	Journal of hydrology (Amsterdam) Vol. 563; pp. 975 - 986
Main Authors:	Xu, Hongshi, Ma, Chao, Lian, Jijian, Xu, Kui, Chaima, Evance
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.08.2018
Subjects:	algorithms altitude China Cluster algorithm entropy flood control floods hydrologic models Improved entropy weight risk Risk assessment risk management Urban flood management China A HDMS dij H AHP ω LDC J fp f0 Improved entropy weight DR Q Risk assessment MD SL kd Urban flood management SSA NSE hL ej Dj f g EM ω’j MCA l DEM PCSWMM GIS Sf t Si Cluster algorithm ENVI TOPSIS MVE BA ts
ISSN:	0022-1694, 1879-2707
Online Access:	Get full text
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