Drought prediction using artificial intelligence models based on climate data and soil moisture.

ABSTRACT: Drought is deemed a major natural disaster that can lead to severe economic and social implications. Drought indices are utilized worldwide for drought management and monitoring. However, as a result of the inherent complexity of drought phenomena and hydroclimatic condition differences, no universal drought index is available for effectively monitoring drought across the world. Therefore, this study aimed to develop a new meteorological drought index to describe and forecast drought based on various artificial intelligence (AI) models: decision tree (DT), generalized linear model (GLM), support vector machine, artificial neural network, deep learning, and random forest. A comparative assessment was conducted between the developed AI-based indices and nine conventional drought indices base

SUBMITTER: Oyounalsoud MS 

PROVIDER: S-EPMC11344829 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature