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This study aims to analyze influential factors for flood occurrence and enhance flood susceptibility mapping.

July 11, 2021

Utilizing the SAR, GIS, and Novel Hybrid Metaheuristic-GMDH Algorithm for Flood Susceptibility Mapping

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Randomized trial demonstrates improved flood susceptibility mapping in Mozambique, suggesting effective risk mitigation strategies.

This study aims to analyze influential factors for flood occurrence and enhance flood susceptibility mapping.
Analyzed 10 influential factors on flood occurrence using GIS and SAR data.
Applied hybrid gray wolf optimizer-group method of data handling (GWO-GMDH) for modeling.
Compared GWO-GMDH model performance against standard GMDH.
GWO-GMDH model outperformed GMDH in flood susceptibility mapping.
19.40% of the study area classified as high susceptibility and 15.52% as very high susceptibility to flooding.

Rezaie et al. (2021) studied this question.

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