Articles | Volume 20, issue 8
https://doi.org/10.5194/nhess-20-2351-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-2351-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Aug 2020
Research article |
| 26 Aug 2020
| 26 Aug 2020
GIS-based DRASTIC and composite DRASTIC indices for assessing groundwater vulnerability in the Baghin aquifer, Kerman, Iran
Mohammad Malakootian
Environmental Health Engineering Research Center, Kerman University of Medical Sciences, 7616913555 Kerman, Iran
Department of Environmental Health, School of Public Health, Kerman University of Medical Sciences, 7616913555 Kerman, Iran
Environmental Health Engineering Research Center, Kerman University of Medical Sciences, 7616913555 Kerman, Iran
Department of Environmental Health, School of Public Health, Kerman University of Medical Sciences, 7616913555 Kerman, Iran
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Cited
15 citations as recorded by crossref.
- Groundwater Vulnerability and Potentially Toxic Elements Associated with the Iron Mining District of Ouixane (Northeast of Morocco) A. Khafouri et al. 10.3390/w15010118
- Vulnerability mapping as a tool to foster groundwater protection in areas subject to rapid population expansion: The case study of Abuja Federal Capital Territory (Nigeria) M. Etuk et al. 10.1016/j.ejrh.2022.101158
- AHP GIS-supported overlay/index models in Okeigbo, southwestern Nigeria, for groundwater susceptibility zonation O. Falowo & O. Bamoyegun 10.1016/j.hydres.2023.05.003
- Sustainable Groundwater Management Using Machine Learning-Based DRASTIC Model in Rurbanizing Riverine Region: A Case Study of Kerman Province, Iran M. Tavakoli et al. 10.3390/w16192748
- Comparative assessment of groundwater vulnerability using GIS-based DRASTIC and DRASTIC-AHP for Thoothukudi District, Tamil Nadu India S. Saravanan et al. 10.1007/s10661-022-10601-y
- Irrigation impact on water quality and aquifer vulnerability in Kala Oya basin, Sri Lanka B. Athapattu et al. 10.1016/j.gsd.2024.101127
- Prediction of groundwater quality index to assess suitability for drinking purpose using averaged neural network and geospatial analysis S. Ahn et al. 10.1016/j.ecoenv.2023.115485
- Use of water quality index and DRASTIC index correlation for better assessment of groundwater vulnerability to pollution: a case study J. Chaudhary & K. Singh 10.2166/ws.2023.286
- Enhancing groundwater vulnerability assessment: Comparative study of three machine learning models and five classification schemes for Cuddalore district S. Subbarayan et al. 10.1016/j.envres.2023.117769
- Rapid groundwater decline and some cases of recovery in aquifers globally S. Jasechko et al. 10.1038/s41586-023-06879-8
- Geospatial aquifer vulnerability mapping using parametric models in Ondo metropolis, Southwestern Nigeria O. Falowo & O. Ojo 10.1007/s12665-023-11138-0
- Gravity Change and Its Relation to Land Subsidence and Underground Water Table Variation at Kerman, Iran H. Cheraghi et al. 10.1007/s00024-024-03605-x
- Groundwater Risk Assessment in the Arabian Basin of Saudi Arabia Through Multiple Dataset A. Pradipta et al. 10.1007/s13369-023-08469-2
- Elemental composition of salt and vulnerability assessment of saline groundwater sources selected based on ethnoarchaeological evidence in Romania A. Mihu-Pintilie et al. 10.3389/feart.2023.1270063
- Comparative study for assessment of groundwater vulnerability to pollution using DRASTIC methods applied to central Nile Delta, Egypt M. Metwally et al. 10.1007/s42108-022-00198-w
14 citations as recorded by crossref.
- Groundwater Vulnerability and Potentially Toxic Elements Associated with the Iron Mining District of Ouixane (Northeast of Morocco) A. Khafouri et al. 10.3390/w15010118
- Vulnerability mapping as a tool to foster groundwater protection in areas subject to rapid population expansion: The case study of Abuja Federal Capital Territory (Nigeria) M. Etuk et al. 10.1016/j.ejrh.2022.101158
- AHP GIS-supported overlay/index models in Okeigbo, southwestern Nigeria, for groundwater susceptibility zonation O. Falowo & O. Bamoyegun 10.1016/j.hydres.2023.05.003
- Sustainable Groundwater Management Using Machine Learning-Based DRASTIC Model in Rurbanizing Riverine Region: A Case Study of Kerman Province, Iran M. Tavakoli et al. 10.3390/w16192748
- Comparative assessment of groundwater vulnerability using GIS-based DRASTIC and DRASTIC-AHP for Thoothukudi District, Tamil Nadu India S. Saravanan et al. 10.1007/s10661-022-10601-y
- Irrigation impact on water quality and aquifer vulnerability in Kala Oya basin, Sri Lanka B. Athapattu et al. 10.1016/j.gsd.2024.101127
- Prediction of groundwater quality index to assess suitability for drinking purpose using averaged neural network and geospatial analysis S. Ahn et al. 10.1016/j.ecoenv.2023.115485
- Use of water quality index and DRASTIC index correlation for better assessment of groundwater vulnerability to pollution: a case study J. Chaudhary & K. Singh 10.2166/ws.2023.286
- Enhancing groundwater vulnerability assessment: Comparative study of three machine learning models and five classification schemes for Cuddalore district S. Subbarayan et al. 10.1016/j.envres.2023.117769
- Rapid groundwater decline and some cases of recovery in aquifers globally S. Jasechko et al. 10.1038/s41586-023-06879-8
- Geospatial aquifer vulnerability mapping using parametric models in Ondo metropolis, Southwestern Nigeria O. Falowo & O. Ojo 10.1007/s12665-023-11138-0
- Gravity Change and Its Relation to Land Subsidence and Underground Water Table Variation at Kerman, Iran H. Cheraghi et al. 10.1007/s00024-024-03605-x
- Groundwater Risk Assessment in the Arabian Basin of Saudi Arabia Through Multiple Dataset A. Pradipta et al. 10.1007/s13369-023-08469-2
- Elemental composition of salt and vulnerability assessment of saline groundwater sources selected based on ethnoarchaeological evidence in Romania A. Mihu-Pintilie et al. 10.3389/feart.2023.1270063
Latest update: 23 Nov 2024
Short summary
The present study estimated the Kerman–Baghin aquifer vulnerability using DRASTIC and composite DRASTIC (CDRASTIC) indices with the aid of geographic information system (GIS) techniques. The aquifer vulnerability maps indicated very similar results, identifying the north-west parts of the aquifer as areas with high to very high vulnerability. According to the results, parts of the studied aquifer have a high vulnerability and require protective measures.
The present study estimated the Kerman–Baghin aquifer vulnerability using DRASTIC and...
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