Advancing SDGs: Predicting Future Shifts in Saudi Arabia’s Terrestrial Water Storage Using Multi-Step-Ahead Machine Learning Based on GRACE Data

Advancing SDGs: Predicting Future Shifts in Saudi Arabia’s Terrestrial Water Storage Using Multi-Step-Ahead Machine Learning Based on GRACE Data

The availability of water is crucial for the growth and sustainability of human development. The effective management of water resources is essential due to their renewable nature and their critical role in ensuring food security and water safety. In this study, the multi-step-ahead modeling approac...

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Bibliographic Details
Main Authors: Mohamed A. Yassin, Sani I. Abba, Arya Pradipta, Mohammad H. Makkawi, Syed Muzzamil Hussain Shah, Jamilu Usman, Dahiru U. Lawal, Isam H. Aljundi, Amimul Ahsan, Saad Sh. Sammen
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Water
Subjects:
artificial intelligence
water security
GRACE
forecasting
water resources
big data
Online Access:https://www.mdpi.com/2073-4441/16/2/246

Internet

https://www.mdpi.com/2073-4441/16/2/246

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