Modeling flood susceptibility zones using hybrid machine learning models of an agricultural dominant landscape of India

Author:

Saini Satish Kumar,Mahato Susanta,Pandey Deep Narayan,Joshi Pawan Kumar

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Reference145 articles.

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2. Adedeji OH, Odufuwa BO, Adebayo OH (2012) Building capabilities for flood disaster and hazard preparedness and risk reduction in Nigeria: need for spatial planning and land management. J Sustain Dev Africa 14(1):45–58

3. Akay H (2021) Flood hazards susceptibility mapping using statistical, fuzzy logic, and MCDM methods. Soft Comput 25(14):9325–9346

4. Al-Juaidi AE, Nassar AM, Al-Juaidi OE (2018) Evaluation of flood susceptibility mapping using logistic regression and GIS conditioning factors. Arab J Geosci 11(24):1–10

5. Alvarez-Garreton C, Ryu D, Western AW, Su CH, Crow WT, Robertson DE, Leahy C (2015) Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes. Hydrol Earth Syst Sci 19(4):1659–1676

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