Flood susceptibility modeling of the Karnali river basin of Nepal using different machine learning approaches
Author:
Affiliation:
1. Department of Civil Engineering, School of Engineering, Kathmandu University, Dhulikhel, Nepal
2. School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan, People’s Republic of China
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/19475705.2023.2217321
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5. A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran
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