Mapping of regional potential groundwater springs using Logistic Regression statistical method


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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.

About the authors

Jalal Zandi

Department of Watershed Management, College of Natural Resources Sciences

Author for correspondence.
Email: jalal.zandi2010@gmail.com
Iran, Islamic Republic of, Mazandaran

Pezhman Taherei Ghazvinei

Department of Civil Engineering, Faculty of Engineering; Young Researchers and Elite Club, Parand Branch

Email: jalal.zandi2010@gmail.com
Malaysia, Kuala Lumpur, 50603; Kuala Lumpur

Roslan Hashim

Department of Civil Engineering, Faculty of Engineering; Institute of Ocean and Earth Sciences

Email: jalal.zandi2010@gmail.com
Malaysia, Kuala Lumpur, 50603; Kuala Lumpur, 50603

Khamaruzaman Bin Wan Yusof

Department of Civil and Environmental Engineering, Faculty of Engineering

Email: jalal.zandi2010@gmail.com
Malaysia, Kuala Lumpur

Junaidah Ariffin

Fluvial and River Engineering Dynamics Group, Institute of Infrastructure Engineering and Sustainability Management, Faculty of Civil Engineering

Email: jalal.zandi2010@gmail.com
Malaysia, Kuala Lumpur

Shervin Motamedi

Department of Civil Engineering, Faculty of Engineering; Institute of Ocean and Earth Sciences

Email: jalal.zandi2010@gmail.com
Malaysia, Kuala Lumpur, 50603; Kuala Lumpur, 50603

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