Improving Forecasting Accuracy of Multi-Scale Groundwater Level Fluctuations Using a Heterogeneous Ensemble of Machine Learning Algorithms

Improving Forecasting Accuracy of Multi-Scale Groundwater Level Fluctuations Using a Heterogeneous Ensemble of Machine Learning Algorithms

Accurate groundwater level (GWL) forecasts are crucial for the efficient utilization, strategic long-term planning, and sustainable management of finite groundwater resources. These resources have a substantial impact on decisions related to irrigation planning, crop selection, and water supply. Thi...

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Bibliographic Details
Main Authors: Dilip Kumar Roy, Tasnia Hossain Munmun, Chitra Rani Paul, Mohamed Panjarul Haque, Nadhir Al-Ansari, Mohamed A. Mattar
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Water
Subjects:
groundwater level
multi-step ahead forecasting
machine learning
heterogeneous ensemble
Bayesian model averaging
Online Access:https://www.mdpi.com/2073-4441/15/20/3624

Internet

https://www.mdpi.com/2073-4441/15/20/3624

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