Document Type : Research Paper
Authors
Department of Geography, Faculty of Literature and Humanities, Razi University, Kermanshah, Iran.
Abstract
The importance of water shortage in arid and semi-arid regions is more evident due to the limitation of water resources, and the preparation of water resources is necessary to protect and reduce the vulnerability of these resources. Therefore, in this study, considering the vulnerability of water and soil resources in arid and semi-arid regions and the geographical structure of Zagros inland basins, the Izadkhast plain from the south of Fars province was selected to investigate the vulnerability of water resources. For this purpose, six parameters of water depth, net feed, aquifer environment, soil texture, topography, and hydraulic conductivity of the aquifer were analyzed using the DRASTIC model. The results showed that almost 50% of the plains were in the high vulnerability class, and 28% were in the very high vulnerability class. In the east and center of the plain, places with high vulnerability to pollutants and contaminated water were found. The effect of the formations in the east of the basin can be seen because, at the outlet of the rivers in the east of the basin, the amount of sulfate has increased dramatically, which indicates the presence of evaporate formations with gypsum. In the center of the basin, the heavy texture of the soil, the low slope, and the accumulation of most of the water entering the basin, some of which have a lot of salts, have increased the vulnerability of this part. Another result of this study is that the DRASTIC model has high efficiency in evaluating vulnerabilities similar to this research.
Keywords
Aller, L., Lehr, J.H., Petty, R., Bennett, T., 1987. DRASTIC: a standardized system to evaluate groundwater pollution potential using hydrogeologic setting. J. Geol. Soc. India 29, 23–37. EPA 600/2-87-035.
Amiri, F., Rahdari, V., maleki najafabadi, S., Pradhan, B., Tabatabaei, T., 2014. Multi-temporal landsat images based on eco-environmental change analysis in and around Chah Nimeh reservoir, Balochestan (Iran). Environ. Earth Sci. 72, 801–809. https://doi.org/10.1007/s12665-013-3004-9
Ansari, M., Jabbari, I., Sargordi, F., 2021a. Spatial modelling of water quality parameters based on geological formations. Hydrogeomorphology 8, 137-117. doi: 10.22034/hyd.2021.44081.1571
Ansari, M., Jabbari, I., Sargordi, F., 2021b. Use of morphometric indicators to identify the source of salinity in playa (Case study Izadkhast playa Fars province. Quanti. Geomorphol. Res. 10, 134-156. doi: 10.22034/gmpj.2021.296568.1288
Ansari, M., Jabbari, I., Sargordi, F., 2023. The effect of water resources on spatial and temporal change of soil salinity in Izdkhast playa, Fars Province Iran. Environ. Monit. Assess. 195, 1-15. doi: 10.1007/s10661-022-10678-5.
Azizi, H.R., Nejatian, N., 2021. Computation of groundwater balance in Varamin plain. Geogr. Hum. Relationships 3, 189–204. https://doi.org/10.22034/GAHR.2021.263228.1487
Bai, L., Wang, Y., Meng, F., 2012. Application of DRASTIC and extension theory in the groundwater vulnerability evaluation. Water Environ. J. 26, 381–391. https://doi.org/10.1111/j.1747-6593.2011.00298.x
Eftekhari, M., Akbari, M., 2020. Evaluation of the SINTACS-LU model capability in the analysis of aquifer vulnerability potential in semi-arid regions. J. Appl. Res. Water Wastewater 7, 111–119. doi: 10.22126/arww.2020.4785.1151
Guettaia, S., Hacini, M., Boudjema, A., Zahrouna, A., 2017. Vulnerability assessment of an aquifer in an arid environment and comparison of the applied methods: case of the mio-plio-quaternary aquifer. Energy Procedia 119, 482–489. https://doi.org/10.1016/j.egypro.2017.07.057
Khosravi, KH., 2012. Assessment of groundwater vulnerability using a-GIS based DRASTIC model (Case study: Dehgolan plain, Kurdistan province), J. Watershed Manag. Res. 3, 42-62. http://jwmr.sanru.ac.ir/article-1-54-en.html
Machdar, I., Zulfikar, T., Rinaldi, W., Alfiansyah, Y., 2018. Assessment of groundwater vulnerability using DRASTIC model and GIS : a case study of two sub-districts in Banda Aceh city, Indonesia, in: IOP Conference Series: Materials Science and Engineering. Institute of Physics Publishing 334, 1-10. https://doi.org/10.1088/1757-899X/334/1/012032
Maqsoom, A., Aslam, B., Khalil, U., Ghorbanzadeh, O., Ashraf, H., Tufail, R.F., Farooq, D., Blaschke, T., 2020. A GIS-based DRASTIC model and an adjusted DRASTIC model (DRASTICA) for groundwater susceptibility assessment along the China–Pakistan economic corridor (CPEC) route. ISPRS Int. J. Geo-Information 9, 1-23. https://doi.org/10.3390/ijgi9050332
Maroofi, S., Soleimani, S., Ghobadi, M.H., Rahimi, GH. Maroofi, H., 2013. Vulnerability assessment of Malayer plain groundwater by SINTACS, DRASTIC and SI models, J. Water Soil Conserv. 19, 141-166. https://dorl.net/dor/20.1001.1.23222069.1391.19.3.8.3
Mkumbo, N.J., Mussa, K.R., Mariki, E.E., Mjemah, I.C., 2022. The use of the DRASTIC-LU/LC model for assessing groundwater vulnerability to nitrate contamination in morogoro municipality, Tanzania. Earth (Switzerland) 3, 1161–1184. https://doi.org/10.3390/earth3040067
Nakhaei, M., Amiri, V., Rahimi- Shahrebabaki, M., 2013. Assessment of groundwater vulnerability and sensitivity analysis in khatoon Abad aquifer using a GIS based DRASTIC model, Adv. Appl. Geol. 3, 1-10.
Niknam, R., Mohammadi, K., J. Majd, V., 2007. Groundwater vulnerability evaluation of Tehran-Karaj aquifer using DRASTIC method and fuzzy logic. Iran-Water Resour. Res. 3, 39-47.
Nohegar, A., Riahi, F., 2014. The comparison of fuzzy drastic model and conventional drastic model to determine the most appropriate indicator of ground water vulnerability (Case study: Sarkhoon plain aquifer), J. Environ. Stud. 40, 711-722. https://doi.org/10.22059/JES.2014.52215
Pacheco, F.A.L., Sanches Fernandes, L.F., 2013. The multivariate statistical structure of DRASTIC model. J. Hydrol. 476, 442–459. https://doi.org/10.1016/j.jhydrol.2012.11.020
Plan and budget organization, 2014. Long-term development document of Zarrin Dasht country, Natural resources and environment, 1-189.
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