Advanced machine learning algorithm to predict the implication of climate change on groundwater level for protecting aquifer from depletion
Due to the impact of climate change, the groundwater level (GWL) has been declining recently in Malaysia, which is essential to protect the groundwater aquifer against depletion. Therefore, the current study aimed to propose an accurate GWL prediction model using advanced machine learning (ML) algor...
Saved in:
Main Authors: | Ahmed Osman A.I., Latif S.D., Wee Boo K.B., Ahmed A.N., Huang Y.F., El-Shafie A. |
---|---|
Other Authors: | 57221644207 |
Format: | Article |
Published: |
Elsevier B.V.
2025
|
Subjects: | |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Comparative assessment of rainfall-based water level prediction using machine learning (ML) techniques
by: Pathan A.I., et al.
Published: (2025) -
Groundwater resource assessment in Astaneh-Kouchesfahan Plain, Iran
by: Saatsaz, Masoud
Published: (2011) -
Combination of data-driven models and best subset regression for predicting the standardized precipitation index (SPI) at the Upper Godavari Basin in India
by: Pande C.B., et al.
Published: (2024) -
Modeling of standardized groundwater index of Bihar using machine learning techniques
by: Kumari S., et al.
Published: (2024) -
Application of electrical resistivity methods in quantitative assessment of groundwater reserve of unconfined aquifer
by: Ali Hago, Hago
Published: (2000)