Assessing groundwater vulnerability potential using modified DRASTIC in Ajabshir Plain, NW of Iran
The vulnerability of groundwater as the primary source of water for human survival should be assessed for the purpose of pollution management. The Ajabshir plain, one of the major agricultural areas in the northwest of Iran, is always prone to pollution. Therefore, to prevent the increase in polluti...
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| Veröffentlicht in: | Environmental monitoring and assessment 2023-04, Vol.195 (4), p.497-497, Article 497 |
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| creator | Asghari Moghaddam, Asghar Nouri Sangarab, Soraya Kadkhodaie Ilkhchi, Ali |
| description | The vulnerability of groundwater as the primary source of water for human survival should be assessed for the purpose of pollution management. The Ajabshir plain, one of the major agricultural areas in the northwest of Iran, is always prone to pollution. Therefore, to prevent the increase in pollution, it is necessary to determine the polluting factors and areas prone to groundwater pollution. In this study, by modifying the DRASTIC method using the land-use layer, called DRASTICL, vulnerable areas and pollution index were mapped. To ensure dealing with the uncertainty of the parameters, the DRASTICL model was optimized utilizing the Sugeno-type fuzzy inference system. The models were validated based on nitrate pollution. The correlation of DRASTICL and its optimized model with the nitrate pollution are 0.32 and 0.8, respectively. The results of this study show that integrating the DRASTIC model and fuzzy knowledge is an instrumental way for assessment of vulnerability potential. |
| doi_str_mv | 10.1007/s10661-023-10992-6 |
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The Ajabshir plain, one of the major agricultural areas in the northwest of Iran, is always prone to pollution. Therefore, to prevent the increase in pollution, it is necessary to determine the polluting factors and areas prone to groundwater pollution. In this study, by modifying the DRASTIC method using the land-use layer, called DRASTICL, vulnerable areas and pollution index were mapped. To ensure dealing with the uncertainty of the parameters, the DRASTICL model was optimized utilizing the Sugeno-type fuzzy inference system. The models were validated based on nitrate pollution. The correlation of DRASTICL and its optimized model with the nitrate pollution are 0.32 and 0.8, respectively. 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| subjects | Atmospheric Protection/Air Quality Control/Air Pollution Earth and Environmental Science Ecology Ecotoxicology Environment Environmental Management Environmental monitoring Environmental Monitoring - methods Environmental science Groundwater Groundwater pollution Humans Iran Land use Modelling Monitoring/Environmental Analysis Nitrates Nitrates - analysis Pollution Pollution index Survival Vulnerability Water Pollution - analysis Water pollution monitoring |
| title | Assessing groundwater vulnerability potential using modified DRASTIC in Ajabshir Plain, NW of Iran |
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