Mapping of regional potential groundwater springs using Logistic Regression statistical method
- Авторы: Zandi J.1, Ghazvinei P.T.2,3, Hashim R.2,4, Yusof K.B.5, Ariffin J.6, Motamedi S.2,4
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							Учреждения: 
							- Department of Watershed Management, College of Natural Resources Sciences
- Department of Civil Engineering, Faculty of Engineering
- Young Researchers and Elite Club, Parand Branch
- Institute of Ocean and Earth Sciences
- Department of Civil and Environmental Engineering, Faculty of Engineering
- Fluvial and River Engineering Dynamics Group, Institute of Infrastructure Engineering and Sustainability Management, Faculty of Civil Engineering
 
- Выпуск: Том 43, № 1 (2016)
- Страницы: 48-57
- Раздел: Water Resources and the Regime of Water Bodies
- URL: https://journals.rcsi.science/0097-8078/article/view/173783
- DOI: https://doi.org/10.1134/S0097807816010097
- ID: 173783
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Аннотация
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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Об авторах
Jalal Zandi
Department of Watershed Management, College of Natural Resources Sciences
							Автор, ответственный за переписку.
							Email: jalal.zandi2010@gmail.com
				                					                																			                												                	Иран, 							Mazandaran						
Pezhman Ghazvinei
Department of Civil Engineering, Faculty of Engineering; Young Researchers and Elite Club, Parand Branch
														Email: jalal.zandi2010@gmail.com
				                					                																			                												                	Малайзия, 							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
				                					                																			                												                	Малайзия, 							Kuala Lumpur, 50603; Kuala Lumpur, 50603						
Khamaruzaman Yusof
Department of Civil and Environmental Engineering, Faculty of Engineering
														Email: jalal.zandi2010@gmail.com
				                					                																			                												                	Малайзия, 							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
				                					                																			                												                	Малайзия, 							Kuala Lumpur						
Shervin Motamedi
Department of Civil Engineering, Faculty of Engineering; Institute of Ocean and Earth Sciences
														Email: jalal.zandi2010@gmail.com
				                					                																			                												                	Малайзия, 							Kuala Lumpur, 50603; Kuala Lumpur, 50603						
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