A Theoretical Approach for Forecasting Different Types of Drought Simultaneously, Using Entropy Theory and Machine-Learning Methods

A Theoretical Approach for Forecasting Different Types of Drought Simultaneously, Using Entropy Theory and Machine-Learning Methods

Precipitation deficit can affect different natural resources such as water, soil, rivers and plants, and cause meteorological, hydrological and agricultural droughts. Multivariate drought indexes can theoretically show the severity and weakness of various drought types simultaneously. This study int...

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Bibliographic Details
Main Authors: Pouya Aghelpour, Babak Mohammadi, Seyed Mostafa Biazar, Ozgur Kisi, Zohreh Sourmirinezhad
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:ISPRS International Journal of Geo-Information
Subjects:
entropy theory
drought forecasting
multivariate standardized precipitation index
joint deficit index
machine learning
heuristic optimization algorithms
Online Access:https://www.mdpi.com/2220-9964/9/12/701

Internet

https://www.mdpi.com/2220-9964/9/12/701

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