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Mapping of regional potential groundwater springs using Logistic Regression statistical method |
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| Authors: | |
| Institution: | 1.Department of Watershed Management, College of Natural Resources Sciences,Sari University,Mazandaran,Iran;2.Department of Civil Engineering, Faculty of Engineering,University of Malaya,Kuala Lumpur,Malaysia;3.Young Researchers and Elite Club, Parand Branch,Islamic Azad University, Parand,Kuala Lumpur,Malaysia;4.Institute of Ocean and Earth Sciences,University of Malaya,Kuala Lumpur,Malaysia;5.Department of Civil and Environmental Engineering, Faculty of Engineering,Universiti Teknologi PETRONAS (UTP),Kuala Lumpur,Malaysia;6.Fluvial and River Engineering Dynamics Group, Institute of Infrastructure Engineering and Sustainability Management, Faculty of Civil Engineering,Universiti Teknologi MARA (UiTM),Kuala Lumpur,Malaysia |
| Abstract: | Increasing demand for fresh water extraction in the semi-arid regions necessitates the exploration of groundwater spring potential areas notwithstanding the importance of both conservation and management aspects for planning development. Potential map of groundwater springs reduces the costs of horizontal well drilling that provides useful tool for engineers to locate probable region for groundwater existence. The objective of this study is to establish a model of the potential map of groundwater spring occurrences. A statistical and probabilistic Logistic Regression (LR) model was developed in association with the specified spring location and effective occurrence factors. The most statistically significant effective factors on spring occurrences were selected to zone groundwater spring potential areas. The proposed model was evaluated statistically. Results showed a satisfactory prediction for the proposed model. The outcome of this study facilitates the low-cost utilization of groundwater resources when policy makers need strategic development planning. |
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