Short-Term Drought Forecast across Two Different Climates Using Machine Learning Models

This paper presents a comparative analysis of machine learning (ML) models for predicting drought conditions using the Standardized Precipitation Index (SPI) for two distinct stations, one in Shiraz, Iran and one in Tridolino, Italy. Four ML models, including Artificial Neural Network (ANN), Multipl...

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Bibliographic Details
Main Authors: Reza Piraei, Majid Niazkar, Fabiola Gangi, Gökçen Eryılmaz Türkkan, Seied Hosein Afzali
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Hydrology
Subjects:
Online Access:https://www.mdpi.com/2306-5338/11/10/163
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