Evaluation of groundwater vulnerability to pollution using DRASTIC, composite DRASTIC, and nitrate vulnerability models
Background: Groundwater protection against pollution is a very important issue. Groundwater vulnerability maps are useful tools for protecting aquifers and assessing the potential for contamination. Therefore, the purpose of this study was to prepare vulnerability maps and perform sensitivity anal...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Kerman University of Medical Sciences
2021-05-01
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| Series: | Environmental Health Engineering and Management |
| Subjects: | |
| Online Access: | http://ehemj.com/article-1-745-en.html |
| _version_ | 1818846911445073920 |
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| author | Mohsen Pourkhosravani Fatemeh Jamshidi Nasrin Sayari |
| author_facet | Mohsen Pourkhosravani Fatemeh Jamshidi Nasrin Sayari |
| author_sort | Mohsen Pourkhosravani |
| collection | DOAJ |
| description | Background: Groundwater protection against pollution is a very important issue. Groundwater
vulnerability maps are useful tools for protecting aquifers and assessing the potential for contamination.
Therefore, the purpose of this study was to prepare vulnerability maps and perform sensitivity analysis
to identify the most influential factors in the vulnerability of the studied aquifer.
Methods: In this study, groundwater vulnerability to pollution was evaluated using DRASTIC, composite
DRASTIC, and nitrate vulnerability (NV) models. Drastic is an index for the systematic assessment of
potential groundwater pollution. In this method, the drastic index was calculated from the total weight
and rank of the factors. For this purpose, first the factors affecting the pollution transfer, were weighted,
ranked, and merged using GIS software. Then, using the overlapping techniques and after applying
the necessary weight coefficients on each layer, a map of the vulnerability area of the study aquifer was
prepared.
Results: It was revealed that there is a significant linear relationship between all three models with
the distribution of nitrate concentration. Accordingly, it was the most efficient NV model, followed
by the composite DRASTIC (CD) and DRASTIC models, respectively. Also, in the studied aquifer, the
DRASTIC index was between 147 and 136, the combined DRASTIC index was between 70 and 190, and
the nitrate index was between 13 and 132.
Conclusion: Vulnerability assessment of the studied aquifer using DRASTIC, and combined DRASTIC,
and NV indices shows that, according to the DRASTIC index, 69.7% of the studied aquifer was in the
medium vulnerability class. Also, according to the combined DRASTIC index, the largest area (53.62%)
has low vulnerability and 31.56% has moderate vulnerability. But according to the nitrate index, 77.16%
of the aquifers had very low vulnerability. |
| first_indexed | 2024-12-19T05:53:04Z |
| format | Article |
| id | doaj.art-153ed12541e94f1482979d1d97a7678c |
| institution | Directory Open Access Journal |
| issn | 2423-3765 2423-4311 |
| language | English |
| last_indexed | 2024-12-19T05:53:04Z |
| publishDate | 2021-05-01 |
| publisher | Kerman University of Medical Sciences |
| record_format | Article |
| series | Environmental Health Engineering and Management |
| spelling | doaj.art-153ed12541e94f1482979d1d97a7678c2022-12-21T20:33:31ZengKerman University of Medical SciencesEnvironmental Health Engineering and Management2423-37652423-43112021-05-018212914010.34172/EHEM.2021.16Evaluation of groundwater vulnerability to pollution using DRASTIC, composite DRASTIC, and nitrate vulnerability modelsMohsen Pourkhosravani0Fatemeh Jamshidi1Nasrin Sayari2Department of Geography and Urban Planning Shahid Bahonar University of Kerman, Kerman, IranDepartment of Geography and Urban Planning Shahid Bahonar University of Kerman, Kerman, IranDepartment of Water Engineering, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, IranBackground: Groundwater protection against pollution is a very important issue. Groundwater vulnerability maps are useful tools for protecting aquifers and assessing the potential for contamination. Therefore, the purpose of this study was to prepare vulnerability maps and perform sensitivity analysis to identify the most influential factors in the vulnerability of the studied aquifer. Methods: In this study, groundwater vulnerability to pollution was evaluated using DRASTIC, composite DRASTIC, and nitrate vulnerability (NV) models. Drastic is an index for the systematic assessment of potential groundwater pollution. In this method, the drastic index was calculated from the total weight and rank of the factors. For this purpose, first the factors affecting the pollution transfer, were weighted, ranked, and merged using GIS software. Then, using the overlapping techniques and after applying the necessary weight coefficients on each layer, a map of the vulnerability area of the study aquifer was prepared. Results: It was revealed that there is a significant linear relationship between all three models with the distribution of nitrate concentration. Accordingly, it was the most efficient NV model, followed by the composite DRASTIC (CD) and DRASTIC models, respectively. Also, in the studied aquifer, the DRASTIC index was between 147 and 136, the combined DRASTIC index was between 70 and 190, and the nitrate index was between 13 and 132. Conclusion: Vulnerability assessment of the studied aquifer using DRASTIC, and combined DRASTIC, and NV indices shows that, according to the DRASTIC index, 69.7% of the studied aquifer was in the medium vulnerability class. Also, according to the combined DRASTIC index, the largest area (53.62%) has low vulnerability and 31.56% has moderate vulnerability. But according to the nitrate index, 77.16% of the aquifers had very low vulnerability.http://ehemj.com/article-1-745-en.htmlenvironmental pollutiongroundwatergeographic information systemssoilnitrate |
| spellingShingle | Mohsen Pourkhosravani Fatemeh Jamshidi Nasrin Sayari Evaluation of groundwater vulnerability to pollution using DRASTIC, composite DRASTIC, and nitrate vulnerability models Environmental Health Engineering and Management environmental pollution groundwater geographic information systems soil nitrate |
| title | Evaluation of groundwater vulnerability to pollution using DRASTIC, composite DRASTIC, and nitrate vulnerability models |
| title_full | Evaluation of groundwater vulnerability to pollution using DRASTIC, composite DRASTIC, and nitrate vulnerability models |
| title_fullStr | Evaluation of groundwater vulnerability to pollution using DRASTIC, composite DRASTIC, and nitrate vulnerability models |
| title_full_unstemmed | Evaluation of groundwater vulnerability to pollution using DRASTIC, composite DRASTIC, and nitrate vulnerability models |
| title_short | Evaluation of groundwater vulnerability to pollution using DRASTIC, composite DRASTIC, and nitrate vulnerability models |
| title_sort | evaluation of groundwater vulnerability to pollution using drastic composite drastic and nitrate vulnerability models |
| topic | environmental pollution groundwater geographic information systems soil nitrate |
| url | http://ehemj.com/article-1-745-en.html |
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