Mapping of regional potential groundwater springs using Logistic Regression statistical method

Zandi, J. and Ghazvinei, P.T. and Hashim, Roslan and Yusof, K.B.W. and Ariffin, J. and Motamedi, S. (2016) Mapping of regional potential groundwater springs using Logistic Regression statistical method. Water Resources, 43 (1). pp. 48-57. ISSN 0097-8078, DOI

Full text not available from this repository.
Official URL:


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.

Item Type: Article
Uncontrolled Keywords: Groundwater potential; Spring; Statistics; Logistic regression; GIS
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 16 May 2018 02:30
Last Modified: 31 May 2019 05:21

Actions (login required)

View Item View Item