In Press (Winter)                   Back to the articles list | Back to browse issues page


XML Persian Abstract Print


Department og Geogrphy,Faculty of Geography,University of imam ali military , Tehrn, Iran , pourzare@iamu.ac.ir
Abstract:   (521 Views)
1- Introduction
Groundwater is the main source of water and one of the most important sources of fresh water on Earth. The quantity and quality of groundwater are deteriorating due to increasing urbanization and its side effects (Amanpour et al., 2021). Recently, with rapid population growth, urbanization and industrialization, groundwater resources have been at risk and have created a serious environmental problem (Afsaw et al., 1, 2020). Therefore, human activities in some cases damage the balances of capacity in nature. One of the most important water resources vulnerable to pollution is aquifers. These resources are exposed to pollution in various ways, which makes detecting and controlling pollution in them more difficult and costly than surface waters. Also, due to the persistence of pollution in these resources, the best way to prevent their pollution is to identify polluting sources and vulnerable areas, prepare vulnerability zoning maps, and adopt appropriate management policies (Aghdam et al., 2017).
Identification and preparing zoning maps of vulnerable areas of the aquifer is an appropriate management tool to prevent pollution of underground water resources. Considering the importance of Khovayes Plain in agriculture water supply, drinking and industrial conditions, the drastic model is used to assess the aquifer vulnerability. In the drastic model, some significant indices in the assessment of underground water aquifer vulnerability including water table depth, water supply network, aquifer type, soil type, topographic dip, components of  the unsaturated zone , and hydraulic conductivity were used and prepared as seven layers in ArcGIS software; after weighting, ranking and integrating the seven mentioned layers, considering the pollutions, the final map of vulnerability aquifer was prepared. After matching the Nitrate Ion on the final drastic map, it was found out that all points with a high amount of Nitrate, are located in a highly polluted realm which confirms the accuracy and validity of the used model.
3- Results
The vulnerability zoning of the Dasht-e Khosh aquifer, which was obtained by combining the seven raster maps of the parameters of the DRAS-1 model by considering the weight of each parameter in the Geographic Information System (GIS) environment, shows that in the Dasht-e Khosh region, the parameters of groundwater depth and unsaturated environment have the greatest effect and the parameters of land slope have the least impact in determining the level of vulnerability of the aquifer. Nitrate ion a natural pollutant in the region) was used to verify the final vulnerability map. By matching nitrate ions on the final DRAS-1 map, it was determined that all points with high nitrate ions are located in an area with high pollution force, which can confirm the accuracy and precision of the model. In terms of area, it can be said that about 17.16% of the study area is in the very low vulnerability range, 23.55% is low vulnerability, 19.21% is medium vulnerability, 28.72% is high vulnerability, and 11.36% is in the very high vulnerability range. The northern and southern parts of the plain aquifer are highly vulnerable. Therefore, controlling this area against pollution should be considered. Nitrate pollution in this area is also high, so this area requires more care and the imposition of certain restrictions. The central areas of the plain have a medium vulnerability potential, and the northwestern and southeastern areas of the plain have a lower vulnerability potential.
4- Discussion & Conclusions
In this research, in the first part, effective characteristics in assessing the vulnerability of groundwater aquifers, including water table depth, recharge network, aquifer type, soil type, topographic slope, unsaturated zone constituents, and hydraulic conductivity, were used to implement the model. These were prepared as seven layers in ArcGIS software, and by weighting, ranking, and combining the above seven layers, the final map of aquifer vulnerability to pollution was prepared. Then, nitrate ion adaptation was performed on the final map of Drastic. Therefore, control of this area against pollution should be considered. Nitrate pollution in this area is also high, so this area needs more care and also the application of certain restrictions. The central areas of the plain have a medium vulnerability potential and the northwestern and southeastern areas of the plain have a lower vulnerability potential. Because the removal of pollution from groundwater resources is costly, the vulnerability zoning of the plain aquifer can be provided as a valuable tool to officials and trustees so that they can make the necessary decisions for land use and management of the plain aquifer. These decisions can include the management of agricultural fertilizers and urban wastewater to safer points and land use changes.
 
Full-Text [PDF 1882 kb]   (15 Downloads)    

Received: 2025/01/17

References
1. Ahmadi, J. Akhund, L. Abbasi, H. Khashaei-Siouki, A. Alimaddadi, M. (2013). Determining the vulnerability of aquifers using the Drust-1 model and applying single-parameter and elimination sensitivity analysis (case study: Salafchegan-Nizar plain), Journal of Soil and Water Conservation Research, 20(3),(in Persian).
2. Arya, S., Subramani, T., Vennila, G., Roy, P.D., (2020). Groundwater vulnerability to pollution in the semi-arid Vattamalaikarai River Basin of south India thorough DRASTIC index evaluation. Geochemistry, DOI:10.1016/j.chemer.2020.125635. [DOI:10.1016/j.chemer.2020.125635]
3. Asfaw, D., Ayalew, D. (2020). Modeling Megech watershed aquifer vulnerability to pollution using a modified DRASTIC model for sustainable groundwater management, Northwestern Ethiopia. Groundwater for Sustainable Development, DOI:10.1016/ j.gsd.2020.100375. [DOI:10.1016/j.gsd.2020.100375]
4. Pourshahidi Saeed, Majid Khayat-Khalqi, Kourosh Mohammadi, Homay Rasouli.(2008). Determining the vulnerability of the Qazvin plain aquifer using the Drastic and SI methods and comparing them, 7th Iranian Hydraulic Conference.(in persian).
5. Azizi Farahnaz, Hossein Mohammadzadeh. (2012). Vulnerability zoning and assessment of spatial changes in the quality of the Imamzadeh Jafar Gachsaran plain aquifer using the Drastic model and the GWQI quality index, Journal of Water Resources Engineering, Year 5,(in persian).
6. Fathi Hafeshjani E, Habibollah Beigi, Hi. (2012). Zoning of the vulnerability potential of Shahrekord aquifer using the DRAST-1 model and its validation using seasonal changes in the concentration of nitrate and phosphate pollutants, Journal of Water Resources Engineering, Year 5,(in persian).
7. 8- Marouf Safar, Samereh Soleimani, Mohammad Hossein Ghobadi, Ghasem Rahimi, Hossein Marouf. (2012). Vulnerability assessment of Malayer Plain aquifer using DRAST-1, SI and SINTANCS models, Journal of Soil and Water Conservation Research, 19(3), (in persian).
8. Mirzaei, S., Mehdi Naderi Kh., Habibollah Beigi, Jahangard Mohammadi (2012). Vulnerability assessment of Shahrekord plain aquifer using the Drastic model, Iranian Water Research Journal, 6(11),(in Persian).
9. Naseri, H.R, Sareminejad, F. (2011). Comparison of aquifer vulnerability assessment using the methods of 1-step and fuzzy logic, case study: Masjed Soleyman mudflat, Quarterly Journal of Physical Geography, Year 4, (in persian).
10. Naseri, H.R, Saremi-nejad,F. (2011),. Comparison of aquifer vulnerability assessment using the DRAST-1 and Fuzzy Zone methods (Case study: Masjed Soleyman mudflat), Quarterly Journal of Physical Geography, 4(11),(in persian).
11. Nadiri, A., Akbari, E., Esfandiar, Novinpour,A., Gharekhani,M. (2019). Vulnerability assessment of the Khoy Plain aquifer using a hybrid method, Water and Irrigation Management, 9(2), 251-262.(in Persian).
12. Al-Adamat ,R.A.N, I.D.L.,Foster, S.M.J.,Babon. (2003). Groundwater vulnerability and risk mapping for the basic aquifer of the Azraq basin of Jordan using GIS, remote sensing and DRASTIC. Applied geography 23,303-324. [DOI:10.1016/j.apgeog.2003.08.007]
13. Aller, L., Bennet, T., Leher, J. H., Petty, R. J., and Hackett, G., (1987). DRASTIC A Standardized System for Evaluating Groundwater Pollution Potential Using Hydro geologic Setting. EPA - 600/ 2 - 87 - 035. Ada, Oklahoma: U. S. Environmental Protection Agency.
14. Aller, L., Bennet, T., Leher, J.H., Petty, R.J. and Hackett, G. (1987). DRASTIC: AStandardized system for evaluating groundwater pollution potential usinghydro-geological settings. Kerr Environmental Research Laboratory, U.S.Environmental Protection Agency Report (EPA/600/2-87/035).
15. Anonymous, P., (1993). A Methodology and Decision Support System for Evaluating The Leaching Potential of Pesticides, U.S. Environmental Protection Agency, EPA, 600/S - 93/010.
16. Babiker, I.S., Mohamed, A.A.A., Hiyama, T., and Kato, K. (2004). "A GIS-based DRASTIC model for assessing aquifer vulnerability in Kakamigahara heights, Gifu prefecture, central Japan."J. Science of the Total Environment, 345, 127-140. [DOI:10.1016/j.scitotenv.2004.11.005]
17. Evans, B.M. (1990). A GIS-based approach to evaluating regional groundwaterpollution potential with DRASTIC. Soil and Water Conservation. 45: 45-242. [DOI:10.1080/00224561.1990.12456473]
18. Krishnamurthy, (1996). An approach to demarcate ground water potential zones through remote sensing and geographic information system, international journal of remote sensing, vol: 10, pp: 1876-18. [DOI:10.1080/01431169608948744]
19. Krishnomurthy J. Kumar V. Jayaraman M. Manivel, (1996). An Approach to Demarcate Ground Water Potential Zones Thorough Remote Sensing and a Geographical Information System, INT. J. Remote Sensing, 17 (10):1867-1884. [DOI:10.1080/01431169608948744]
20. Saraf A.K. Choudhury P.R, (1998). Integrated Remote Sensing and GIS for Ground Water Exploration and Identification of Artificial Recharge Sites, INT.J. Remote Sensing, 19 (10): 1825-1841. [DOI:10.1080/014311698215018]
21. Lasagna. M., Domenico, D., Franchino, E. (2018). Intrinsic groundwater vulnerability assessment: issues, comparison of different methodologies and correlation with nitrate concentrations in NW Italy. Environmental Earth Sciences. 77. DOI:10.1007/s12665-018-7452-0. [DOI:10.1007/s12665-018-7452-0]
22. Vias J. M. Andreo B. Perles M. J. and Carrasco. (2005). A comparative study of four schemes for groundwater vulnerability mapping in a diffuse flow carbonate aquifer under Mediterranean climatic conditions. Environmental Geology Journal. 47:586-595. [DOI:10.1007/s00254-004-1185-y]
23. Vrba, J., Zoporozec, A., 1994. Guidebook on mapping groundwater vulnerability, IAH
24. International contribution for Hydrogeology, Hannover7 Heise, 16: PP. 131.
25. Saeed Amanpour, Mahmoud Ebiat, Mohammad Ebiat).2021 (. Assessment of groundwater vulnerability with DRASTIC and SYNTAX models in GIS environment (Case study: Karun County), Natural Environment Hazards, Volume 10, Issue 30, pp. 50-34.)in persin).
26. -Rana Akab Aghdam, Ataollah Nadiri, Esfandyar Abbas Novinpour.(2017). Vulnerability assessment of the Bilvardi Plain aquifer based on a combination of DRASTIC and SINTACS methods, Quantitative Geomorphology Research, Year 6, Issue 3. pp. 135-150.(in persin).
27. Salimeh Eshaghi Elbeigi, Zahra Ganji Norouzi, Vajihe Darsatkar, Mohammad Hadi Movahednejad, Majid Atari. (2022). Vulnerability assessment of Sabzevar aquifer using the DRASTIC model, Iranian Journal of Irrigation and Drainage, No. 1, Volume 16, pp. 255-266.(in persin).

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2025 CC BY-NC 4.0 | Environmental Erosion Research Journal

Designed & Developed by : Yektaweb