Computational Intelligence Techniques for Predicting and Mitigating Extreme Hydrological Climate Events: A Systematic Review

Vol 56, 2024 - 310001
Complete Articles (CA)
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Abstract

This article presents a systematic review on the use of computational intelligence techniques in the mitigation and prediction of Extreme Hydrological Climatic Events (ECHE). Various 21st-century articles were analyzed to map the applied metaheuristics and exact algorithms, proposing a classification into macro domains that organizes future approaches. The research emphasizes the application of these methods in areas such as resource allocation, evacuation, and environmental monitoring, aiming to improve effective disaster management solutions.

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Institutions
  • 1 Universidade Federal Fluminense
  • 2 Instituto de Computação - Universidade Federal Fluminense
  • 3 Insstituto de Computação - Universidade Federal Fluminense
  • 4 Universidade do Estado do Rio de Janeiro
Track
  • 24. SS-CRIS-Smart and Sustainable Cities & Regions
Keywords
Flooding
Systematic Review
Computational Intelligence
Floods
Extreme Hydrological Climatic Events