Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method.

Volume: 711, Pages: 135161 - 135161
Published: Apr 1, 2020
Abstract
null null Flash-floods are increasingly recognized as a frequent natural hazard worldwide. Iran has been among the most devastated regions affected by the major floods. While the temporal flash-flood forecasting models are mainly developed for warning systems, the models for assessing hazardous areas can greatly contribute to adaptation and mitigation policy-making and disaster risk reduction. Former researches in the flash-flood hazard mapping...
Paper Details
Title
Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method.
Published Date
Apr 1, 2020
Volume
711
Pages
135161 - 135161
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