Article

Application of Machine Learning Algorithms for Groundwater Level Prediction in the Najafabad Plain

2025-07-18

Abstract excerpt

<title>Abstract</title> <p>Accurate groundwater level prediction is vital for sustainable water management, particularly in arid and semi-arid regions under climatic and human-induced stress. This study investigates the performance of three machine learning algorithms—Extreme Gradient Boosting (XGBoost), Random Forest (RF), and Support Vector Machine (SVM)—to forecast groundwater levels in five hydrogeological zo...

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Literature Corpus work: 035a174a-4a37-5403-b2e1-7c2183964760
DOI: 10.21203/rs.3.rs-6992628/v1

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