Evaluating the Aquifer Vulnerability in Ajabshir Plain to Prevent Contamination Risks and Apply Optimal Management
Groundwater resources are considered very important, particularly in the arid and semi-arid regions. Evaluating the vulnerability potential of these resources for conserving and preventing them from being polluted is included as the environmental organizations' priorities. Ajabshir plain is loc...
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University of Sistan and Baluchestan
2019-05-01
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Series: | مخاطرات محیط طبیعی |
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Online Access: | https://jneh.usb.ac.ir/article_3899_3628295c78e000761850aedca86f0f9f.pdf |
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author | Mahsa Nakhostinrouhi Mohammad Hossein Rezaei Moghaddam Tohid Rahimpour |
author_facet | Mahsa Nakhostinrouhi Mohammad Hossein Rezaei Moghaddam Tohid Rahimpour |
author_sort | Mahsa Nakhostinrouhi |
collection | DOAJ |
description | Groundwater resources are considered very important, particularly in the arid and semi-arid regions. Evaluating the vulnerability potential of these resources for conserving and preventing them from being polluted is included as the environmental organizations' priorities. Ajabshir plain is located in East Azerbaijan Province and northwest of Iran. The present study has been conducted to prepare intrinsic vulnerability maps in the aquifer of Ajabshir plain using DRASTIC and GODS methods. In DRASTIC model 7 factors including depth to water, net recharge, aquifer media, soil media, topography, the impact of vadose zone and hydraulic conductivity are used. Four factors including aquifer type, vadose zone, depth of the groundwater, and soil media are also used in GODS model. Providing, ranking, and weighting of the layers in each model have been done in ArcGIS software. Then vulnerability maps have been provided through overlaying these layers. In the DRASTIC model, the study area has been classified into four classes, including very low (13.48%), low (55.43%), moderate to low (28.69%), and moderate to high (3.08%). The study area has also been classified into three classes, including low (43.36%), moderate (52.42%), and high (4.21%) by GODS model. Generally, the vulnerability has been evaluated low and moderate in a massive area of the aquifer while a very small part of the study area has been recognized as the most vulnerable area through both models. |
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institution | Directory Open Access Journal |
issn | 2676-4377 2676-4385 |
language | fas |
last_indexed | 2024-03-13T05:48:38Z |
publishDate | 2019-05-01 |
publisher | University of Sistan and Baluchestan |
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series | مخاطرات محیط طبیعی |
spelling | doaj.art-374510162bba451cbb35f094d50a6a5b2023-06-13T19:54:32ZfasUniversity of Sistan and Baluchestanمخاطرات محیط طبیعی2676-43772676-43852019-05-01820536610.22111/jneh.2018.22204.13223899Evaluating the Aquifer Vulnerability in Ajabshir Plain to Prevent Contamination Risks and Apply Optimal ManagementMahsa Nakhostinrouhi0Mohammad Hossein Rezaei Moghaddam1Tohid Rahimpour2M.A. in Remote Sensing and GIS, Faculty of Planning and Environmental Sciences, University of Tabriz, Tabriz, IranProfessor of Geomorphology, Faculty of Planning and Environmental Sciences, University of Tabriz, Tabriz, IranPhD in Geomorphology, Faculty of Planning and Environmental Sciences, University of Tabriz, Tabriz, IranGroundwater resources are considered very important, particularly in the arid and semi-arid regions. Evaluating the vulnerability potential of these resources for conserving and preventing them from being polluted is included as the environmental organizations' priorities. Ajabshir plain is located in East Azerbaijan Province and northwest of Iran. The present study has been conducted to prepare intrinsic vulnerability maps in the aquifer of Ajabshir plain using DRASTIC and GODS methods. In DRASTIC model 7 factors including depth to water, net recharge, aquifer media, soil media, topography, the impact of vadose zone and hydraulic conductivity are used. Four factors including aquifer type, vadose zone, depth of the groundwater, and soil media are also used in GODS model. Providing, ranking, and weighting of the layers in each model have been done in ArcGIS software. Then vulnerability maps have been provided through overlaying these layers. In the DRASTIC model, the study area has been classified into four classes, including very low (13.48%), low (55.43%), moderate to low (28.69%), and moderate to high (3.08%). The study area has also been classified into three classes, including low (43.36%), moderate (52.42%), and high (4.21%) by GODS model. Generally, the vulnerability has been evaluated low and moderate in a massive area of the aquifer while a very small part of the study area has been recognized as the most vulnerable area through both models.https://jneh.usb.ac.ir/article_3899_3628295c78e000761850aedca86f0f9f.pdfaquifervulnerabilitydrasticgods |
spellingShingle | Mahsa Nakhostinrouhi Mohammad Hossein Rezaei Moghaddam Tohid Rahimpour Evaluating the Aquifer Vulnerability in Ajabshir Plain to Prevent Contamination Risks and Apply Optimal Management مخاطرات محیط طبیعی aquifer vulnerability drastic gods |
title | Evaluating the Aquifer Vulnerability in Ajabshir Plain to Prevent Contamination Risks and Apply Optimal Management |
title_full | Evaluating the Aquifer Vulnerability in Ajabshir Plain to Prevent Contamination Risks and Apply Optimal Management |
title_fullStr | Evaluating the Aquifer Vulnerability in Ajabshir Plain to Prevent Contamination Risks and Apply Optimal Management |
title_full_unstemmed | Evaluating the Aquifer Vulnerability in Ajabshir Plain to Prevent Contamination Risks and Apply Optimal Management |
title_short | Evaluating the Aquifer Vulnerability in Ajabshir Plain to Prevent Contamination Risks and Apply Optimal Management |
title_sort | evaluating the aquifer vulnerability in ajabshir plain to prevent contamination risks and apply optimal management |
topic | aquifer vulnerability drastic gods |
url | https://jneh.usb.ac.ir/article_3899_3628295c78e000761850aedca86f0f9f.pdf |
work_keys_str_mv | AT mahsanakhostinrouhi evaluatingtheaquifervulnerabilityinajabshirplaintopreventcontaminationrisksandapplyoptimalmanagement AT mohammadhosseinrezaeimoghaddam evaluatingtheaquifervulnerabilityinajabshirplaintopreventcontaminationrisksandapplyoptimalmanagement AT tohidrahimpour evaluatingtheaquifervulnerabilityinajabshirplaintopreventcontaminationrisksandapplyoptimalmanagement |