Titlebook: Spatial Modelling of Flood Risk and Flood Hazards; Societal Implication Biswajeet Pradhan,Pravat Kumar Shit,Hamid Reza Pou Book 2022 The Ed

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Application of Hybrid Machine Learning Algorithms for Flood Susceptibility Modeling,OCb-AUC: 0.936) outperformed other models (AUC). According to the validation results, two hybrid models outperformed three machine learning and statistical models. The findings of this research will aid FSMs in building long-term flood control strategies by increasing their efficiency.

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GIS-Based Hydrological and Hydraulic Models to Forecast River Flood Risks and Proposition of Manage the events modelled, the more vulnerable land use included annual cropland, open grassland, open shurbland, settlement, sparse forest, and wetland. Consequently, some proposed mitigation measures include the construction of storage reservoirs at the upstream location of the reach, relocation of inf

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