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

Author:

Eini Mohammad,Kaboli Hesam Seyed,Rashidian Mohsen,Hedayat Hossein

Funder

Jundi-Shapur University of Technology

Graduate Study Program

Publisher

Elsevier BV

Subject

Geology,Safety Research,Geotechnical Engineering and Engineering Geology

Reference60 articles.

1. Urban flood risk mapping using the GARP and QUEST models: a comparative study of machine learning techniques;Darabi;J. Hydrol.,2019

2. Climate Change 2013: the Physical Science Basis. Intergovernmental Panel on Climate Change, Working Group I Contribution to the IPCC Fifth Assessment Report (AR5);Stocker,2013

3. Urban flood hazard zoning in Tucumán Province, Argentina, using GIS and multicriteria decision analysis;Fernández;Eng. Geol.,2010

4. An information system for risk-vulnerability assessment to flood;Subhankar;J. Geogr. Inf. Syst.,2010

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