[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 19, Issue 65 (6-2019) ::
جغرافیایی 2019, 19(65): 233-246 Back to browse issues page
Assessing groundwater vulnerability to contamination in Loor basin using GODS model in GIS environment
Abstract:   (2914 Views)

Groundwater is vulnerable to contamination by anthropological activities. The nitrate pollution of groundwater caused by agricultural activity and a substantial increase in fertilizer utilization are also becoming an increasing problem. Groundwater vulnerability mapping is an important key to improving planning and decision-making processes in order to prevent groundwater contamination Recognizing and zoning the vulnerable parts of the aquifer is an appropriate management tool for preventing groundwater pollution. In this study, Loor basin in Andimeshk located in the north west of Khuzestan province was selected as the study area. The main objective of this study is to assess the vulnerability of Loor basin aquifer to pollution using GODS model. The GODS model uses four parameters (groundwater confinement, overlying strata, depth of groundwater, and soil media) to evaluate aquifer vulnerability. At first, the layers of four parameters were prepared in GIS environment using ArcGIS 10. In the end, the vulnerability map of the region was produced with overlaying hydrogeological data. Verification of vulnerability assessments can be done in many different ways. The most common approach, particularly for verification of assessments done with overlay and index methods, is to compare the vulnerability map with the actual occurrence of some common pollutant in groundwater. Typical pollutants used are nitrate and pesticides. For validation GODS model in this study, nitrate concentration was selected as the primary contamination parameter. Forty six wells were selected for sampling and analysis. The accuracy of model was evaluated using observations values of nitrate and estimated vulnerability to pollution in the measured wells.

Keywords: Vulnerability, Groundwater, Loor basin, GODS model
Full-Text [PDF 853 kb]   (626 Downloads)    
Type of Study: Research | Subject: Special
Received: 2016/06/22 | Accepted: 2017/12/4 | Published: 2019/06/15
1. - Abdelmadjid, B., Omar, S., (2013), "Assessment of groundwater pollution by nitrate using intrinsic vulnerability methods: A case study of the Nil valley groundwater (Jijel, North-East Algeria)", African Journal of Environmental Science and Technology, 7 (10): 949-960.
2. Bai, M., Haghizade, A., Tahmasebipour, N., (2018), "Spatial variations of quality groundwater use geostatistical method", Journal of Geographic space, 63 (18): 147-164.
3. Fazeli, M., Kalantari, N., Rahimi, M.H., Khoubyari, A., (2011), "Temporal and spatial distribution of nitrate in the Zydoun plain's groundwater resources", Water resource engineering, 4 (8): 45-51. [In Persian].
4. FAO/UNEP, (1984), "Provisional methology for assessment and mapping of desertification". Rome (Italy), Food and Agriculture Organization of the United Nations, United Nations Environmental Programme. ISBN 9251014426 pp. 84.
5. Fathi Hafshejani, E., Beigi Harchegani, H., (2013), "Spatial variability and mapping of nitrate and phosphate in Shahrekord Groundwater over a period of five years", JWSS, 17 (65): 63-75. [In Persian].
6. Ghazavi, R., Ebrahimi, Z., (2015), "Assessing groundwater vulnerability to contamination in an arid environment using DRASTIC and GOD models", International Journal of Environmental Science and Technology, 12 (9): 2909-2918. [DOI:10.1007/s13762-015-0813-2]
7. Gogu, R., Dassargues, A., (1999), "Current trend and future challenge in groundwater vulnerability assessment using overlay and index methods", Journal of Environmental Geology, 39 (6): 549-559. [DOI:10.1007/s002540050466]
8. Hamza, S. M., Ahsan, A., Imteaz, M. A., Rahman, A., Mohammad, T. A., Ghazali, A. H., (2015), "Accomplishment and subjectivity of GIS-based DRASTIC groundwater vulnerability assessment method: A review", Environ Earth Sci, 73: 3063-3076. [DOI:10.1007/s12665-014-3601-2]
9. Khemiri, S., Khnissi, A., Alaya, M. B., Saidi, S., Zargouni, F., (2013), "Using GIS for the comparison of intrinsic parametric methods assessment of groundwater vulnerability to pollution in scenarios of semi-arid climate: the case of Foussana groundwater in the central of Tunisia", Journal of Water Resource and Protection, 5: 835-845. [DOI:10.4236/jwarp.2013.58084]
10. 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: 277-293. [DOI:10.1007/s12665-018-7452-0]
11. Mahmoudzadeh, A., Rezaeian, S., Ahmadi, A., (2013), "Assessment of Meymeh plain aquifer vulnerability in Esfahan using comparative method AVI, GODS, DRASTIC", Journal of Environmental studies, 39 (2): 45-60. [In Persian].
12. Neshat, A., Pradhan, B., Dadras, M., (2014). "Groundwater vulnerability assessment using an improved DRASTIC method in GIS", Resources, Conservation and Recycling, 86: 74-86. [DOI:10.1016/j.resconrec.2014.02.008]
13. Rahimzadeh kivi, M., Hamzeh, S., Kardan Moghadam, H., (2015), "Determining the vulnerability of groundwater in Birjand plain using DRASTIC and AHP", Physical Geography Research, 47 (3): 481-498. [In Persian].
14. Torabi, H., Dehghani, R., (2019), "Assessment Mann-Kendall and Spearman test nonparametric in trends of groundwater quality (Case Study: Mazandaran Plain)", Journal of Geographic space, 64(18): 201-214.
15. Zakerinejad, R., Masoudi, M., Fallah, R., Afzali, F., (2012), "Assessment of desertification using ground water criteria and GIS (case study: Zarin Dasht Fars)", Journal of Irrigation and Water Engineering, 2 (3): 1-10. [In Persian].
16. Zamzam, A., Rahnama, M., Taherinejad, M., (2009), "Evaluation pH changes in groundwater of Rafsanjan plain using MT3DMSA", National Conference on Water Crisis, Marvdasht university, February 2009, pp 1-10. [In Persian].
17. Polemio, N., Casarano, D., Limoni, P. P., (2009), "Karstic aquifer vulnerability assessment methods and results at a test site (Apulia, southern Italy)", Nat. Hazards Earth Syst. Sci., 9: 1461-1470. [DOI:10.5194/nhess-9-1461-2009]
Add your comments about this article
Your username or Email:


XML   Persian Abstract   Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Assessing groundwater vulnerability to contamination in Loor basin using GODS model in GIS environment. جغرافیایی 2019; 19 (65) :233-246
URL: http://geographical-space.iau-ahar.ac.ir/article-1-2450-en.html

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 19, Issue 65 (6-2019) Back to browse issues page
فضای جغرافیایی Geographic Space
Persian site map - English site map - Created in 0.17 seconds with 30 queries by YEKTAWEB 4538