A GIS-Based DRASTIC Model For Assessing Aquifer Vulnerability
Due to the increasing demand for water resources in agricultural, domestic, and industrial sectors, the quality of groundwater resources in Iran is at risk. This is more sensitive for the arid and semi-arid regions of the country where the main supply of water is from groundwater resources. The aim...
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| Format: | Article |
| Language: | fas |
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Shahid Chamran University of Ahvaz
2022-06-01
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| Series: | علوم و مهندسی آبیاری |
| Subjects: | |
| Online Access: | https://jise.scu.ac.ir/article_17715_31512a22508a8e3ffe604911778fc84a.pdf |
| _version_ | 1811204270123384832 |
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| author | Sedigheh Anvari Mohammad Rezakhani Nejad |
| author_facet | Sedigheh Anvari Mohammad Rezakhani Nejad |
| author_sort | Sedigheh Anvari |
| collection | DOAJ |
| description | Due to the increasing demand for water resources in agricultural, domestic, and industrial sectors, the quality of groundwater resources in Iran is at risk. This is more sensitive for the arid and semi-arid regions of the country where the main supply of water is from groundwater resources. The aim of this study was to investigate the vulnerability of the groundwater aquifer of Sirjan Plain (Kerman province). For this purpose, the DRASTIC model was employed, while the Geographical Information System (GIS) software was used to draw the vulnerability map. In the DRASTIC model, the effective characteristics in assessing the vulnerability of groundwater aquifers including water table depth, net recharge, aquifer type, soil type, topographic slope, the media forming the vadose zone, and hydraulic conductivity were used. They were prepared in seven layers in the ArcMap software and by weighing, ranking, and combining these layers, the final vulnerability map of Sirjan Plain with respect to contamination was produced. The results showed that the DRASTIC index for the mentioned plain was between 69 and 141 and that the southern parts of this plain were more susceptible to contamination. Moreover, the investigation of the nitrate ion on the final DRASTIC map showed that all the points with high nitrate content were in the highly contaminated zone. This can confirm the accuracy of the model. |
| first_indexed | 2024-04-12T03:09:47Z |
| format | Article |
| id | doaj.art-b0617ad7459a46d38ba8b2816fcd087d |
| institution | Directory Open Access Journal |
| issn | 2588-5952 2588-5960 |
| language | fas |
| last_indexed | 2024-04-12T03:09:47Z |
| publishDate | 2022-06-01 |
| publisher | Shahid Chamran University of Ahvaz |
| record_format | Article |
| series | علوم و مهندسی آبیاری |
| spelling | doaj.art-b0617ad7459a46d38ba8b2816fcd087d2022-12-22T03:50:23ZfasShahid Chamran University of Ahvazعلوم و مهندسی آبیاری2588-59522588-59602022-06-01452192910.22055/jise.2022.41088.203317715A GIS-Based DRASTIC Model For Assessing Aquifer VulnerabilitySedigheh Anvari0Mohammad Rezakhani Nejad1Assistant Professor, Department of Ecology, Institute of Science and High Technology and Environmental Science, Graduate University of Advanced Technology, Kerman, Iran.MSc graduate in Civil Engineering, majoring in water and hydraulic structuresDue to the increasing demand for water resources in agricultural, domestic, and industrial sectors, the quality of groundwater resources in Iran is at risk. This is more sensitive for the arid and semi-arid regions of the country where the main supply of water is from groundwater resources. The aim of this study was to investigate the vulnerability of the groundwater aquifer of Sirjan Plain (Kerman province). For this purpose, the DRASTIC model was employed, while the Geographical Information System (GIS) software was used to draw the vulnerability map. In the DRASTIC model, the effective characteristics in assessing the vulnerability of groundwater aquifers including water table depth, net recharge, aquifer type, soil type, topographic slope, the media forming the vadose zone, and hydraulic conductivity were used. They were prepared in seven layers in the ArcMap software and by weighing, ranking, and combining these layers, the final vulnerability map of Sirjan Plain with respect to contamination was produced. The results showed that the DRASTIC index for the mentioned plain was between 69 and 141 and that the southern parts of this plain were more susceptible to contamination. Moreover, the investigation of the nitrate ion on the final DRASTIC map showed that all the points with high nitrate content were in the highly contaminated zone. This can confirm the accuracy of the model.https://jise.scu.ac.ir/article_17715_31512a22508a8e3ffe604911778fc84a.pdfvulnerabilityunderground waterdrastic modelgissirjan plain |
| spellingShingle | Sedigheh Anvari Mohammad Rezakhani Nejad A GIS-Based DRASTIC Model For Assessing Aquifer Vulnerability علوم و مهندسی آبیاری vulnerability underground water drastic model gis sirjan plain |
| title | A GIS-Based DRASTIC Model For Assessing Aquifer Vulnerability |
| title_full | A GIS-Based DRASTIC Model For Assessing Aquifer Vulnerability |
| title_fullStr | A GIS-Based DRASTIC Model For Assessing Aquifer Vulnerability |
| title_full_unstemmed | A GIS-Based DRASTIC Model For Assessing Aquifer Vulnerability |
| title_short | A GIS-Based DRASTIC Model For Assessing Aquifer Vulnerability |
| title_sort | gis based drastic model for assessing aquifer vulnerability |
| topic | vulnerability underground water drastic model gis sirjan plain |
| url | https://jise.scu.ac.ir/article_17715_31512a22508a8e3ffe604911778fc84a.pdf |
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