DOAJ Open Access 2026

Prediction of groundwater level using artificial intelligence techniques and multiple regression analysis

Bestami TASAR Mustafa DEMIRCI Onur BÖLÜK

Abstrak

Groundwater level estimation is a crucial step in water resource management and planning. In this study, various artificial intelligence models were developed to predict groundwater levels using meteorological data and groundwater levels from previous days. Support Vector Machines (SVM), M5 Tree, and Multiple Linear Regression (MLR) models were used to predict groundwater levels, and the model results were compared with each other. Performance metrics, including Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and Correlation Coefficient (R) served as comparative benchmarks. Model results showed that M5 Tree model produced the best results

Topik & Kata Kunci

Meteorology. Climatology

Penulis (3)

Bestami TASAR

Mustafa DEMIRCI

Onur BÖLÜK

Format Sitasi

APA MLA BibTeX

TASAR, B., DEMIRCI, M., BÖLÜK, O. (2026). Prediction of groundwater level using artificial intelligence techniques and multiple regression analysis. https://doi.org/10.24193/AWC2026_11

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Informasi Jurnal

Tahun Terbit: 2026
Sumber Database: DOAJ
DOI: 10.24193/AWC2026_11
Akses: Open Access ✓