Hazard and vulnerability in urban flood risk mapping: Machine learning techniques and considering the role of urban districts

Volume: 50, Pages: 101687 - 101687
Published: Nov 1, 2020
Abstract
Urban flood risk mapping plays a decisive role in urban management and planning, especially in reducing flood damages. In this study, a flood risk map was produced for Kermanshah city (Iran) by combining flood hazard and flood vulnerability maps. Based on effective factors of urban flooding, flood hazard maps were generated using two machine learning models: Maximum Entropy (MaxEnt) and Genetic Algorithm Rule-Set Production (GARP). These models...
Paper Details
Title
Hazard and vulnerability in urban flood risk mapping: Machine learning techniques and considering the role of urban districts
Published Date
Nov 1, 2020
Volume
50
Pages
101687 - 101687
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