Abstract
Groundwater plays a key role in arid regions as the majority of water is supplied by it. Groundwater pollution is a major issue, because it is susceptible to contamination from land use and other anthropogenic impacts. A study was carried out to build a vulnerability map for the Ordos Plateau using the DRASTIC model in a GIS environment. The map was designed to show the areas of the highest potential for groundwater pollution based on hydrogeological conditions. Seven environmental parameters, such as depth to water table, net recharge, aquifer media, soil media, topography, impact of the vadose zone media, and hydraulic conductivity of the aquifer, were incorporated into the DRASTIC model and GIS was used to create a groundwater vulnerability map by overlaying the available data. The results of this study show that 24.8 % of the study area has high pollution potential, 24.2 % has moderate pollution potential, 19.7 % has low pollution potential, and the remaining 31.3 % of the area has no risk of groundwater pollution. The regional distribution of nitrate is well correlated with the DRASTIC vulnerability index. In contrast to this, although the DRASTIC model indicated that the western part had no risk, nitrate concentrations were higher in some of these areas. In particular, higher nitrate concentrations were recorded along river valleys and around lakes, such as the Mulin River valley. This is mainly caused by the intensive agricultural development and favorable conditions for recharge along river valleys.










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References
Adamat R, Foster I, Baban S (2003) Groundwater vulnerability and risk mapping for the Basaltic aquifer of the Azraq basin of Jordan using GIS, remote sensing and DRASTIC. Appl Geogr 23:303–324
Aller L, Bennett T, Lehr JH, petty RJ, Hackett G (1987) DRASTIC: a standardized system for evaluating groundwater pollution using hydrogeologic settings. EPA 600/2-87-035
Al-Zabet (2002) Evaluation of aquifer vulnerability to contamination potential using the DRASTIC method. Environ Geol 43:203–208
Antonakos AK, Lambrakis NJ (2007) Development and testing of three hybrid methods for the assessment of aquifer vulnerability to nitrates, based on the DRASTIC model, an example from NE Korinthia, Greece. J Hydrol 333:288–304
Baalousha H (2006) Vulnerability assessment for the Gaza Strip, Palestine using DRASTIC. Environ Geol 50:405–414
Babiker IS, Mohamed AA, Hiyama T, Kato K (2005) A GIS-based DRASTIC model for assessing aquifer vulnerability in Kakamigahara Heights, Gifu Prefecture, central Japan. Sci Total Environ 345:127–140
Barbash JE, Resek EA (1996) Pesticides in ground water: distribution, trends, and governing factors. Chelsea, Michigan: Ann Arbor Press, Pesticides in the Hydrologic System series 2:590
Doerfliger N, Jeannin PY, Zwahlen F (1999) Water vulnerability assessment in karst environments: a new method of defining protection areas using a multi-attribute approach and GIS tools (EPIK method). Environ Geol 39(2):165–176
Foster S (1987) Fundamental concepts in aquifer vulnerability, pollution risk and protection strategy. In: Van Duijvenbooden W, Van Waegeningh HG (eds) Vulnerability of soil and groundwater to pollutants. Committee on Hydrological Research, The Hague, pp 69–86
Fritch TG, McKnight CL, Yelderman JC Jr, Arnold JG (2000) An aquifer vulnerability assessment of the Paluxy aquifer, central Texas, USA, using GIS and a modified DRASTIC approach. Environ Manage 25:337–345
Hamza MH, Added A, Rodriguez R, Abdeljaoued S, Mammou B (2007) A GIS-based DRASTIC vulnerability and net recharge reassessment in an aquifer of a semi-arid region (Metline-Ras Jebel-Raf Raf aquifer, Northern Tunisia). J Environ Manage 84:12–19
Hou GC, Zhao MS, Wang YH (2006) Groundwater investigation in the Ordos Basin. China Geological Survey (in Chinese)
Hou GC, Liang YP, Su XS, Zhao ZH, Tao ZP, Yin LH, Yang YC, Wang XY (2008) Groundwater systems and resources in the Ordos Basin, China. Acta Geologica Sinica 85(5):1061–1069
Hrkal Z (2001) Vulnerability of groundwater to acid deposition, Jizerske Mountains, northern Czech Republic: construction and reliability of a GIS-based vulnerability map. J Hydrogeol 9:348–357
Jamrah A, Futaisi AA, Rajmohan N, Al-Yaroubi S (2008) Assessment of groundwater vulnerability in the coastal region of Oman using DRASTIC index method in GIS environment. Environ Monit Assess 147(1–3):125–138
Jawed I, Gorai AK, Poonam T, Gopal P (2012) Approaches to groundwater vulnerability to pollution: a literature review. Asian J Water Environ Pollut 9(1):105–115
Kim Y, Hamm S (1999) Assessment of the potential for groundwater contamination using the DRASTIC/EGIS techniques, Cheongju area, Sough Korea. J Hydrogeol 7:227–235
Knox RC, Sabatini DA, Canter LW (1993) Subsurface transport and fate processes. Lewis publishers, USA
Lee S (2003) Evaluation of waste disposal site using the DRASTIC system in southern Korea. Environ Geol 44:654–664
Leone A, Ripa MN, Uricchio V, Deak J, Vargay Z (2009) Vulnerability and risk evaluation of agricultural nitrogen pollution for Hungary’s main aquifer using DRASTIC and GLEAMS models. J Environ Manage 90:2969–2978
Lodwick WA, Monson W, Svoboda L (1990) Attribute error and sensitivity analysis of map operations in geographical information systems: suitability analysis. Int J Geogr Inf Syst 4(4):413–428
Margat J (1968) Vulnerabilite des napes d’eau souteeeaine a la pollution [Groundwater vulnerability to contamination]. Bases de al cartographie, (Doc.) 68 SGC 198 HYD, BRGM, Orleans, France
Melloul A, Collin M (1994) Water quality factor identification by the ‘Principal Components’ statistical method. Water Sci Technol 140(1):49–73
Mendoza JA, Barmen G (2006) Assessment of groundwater vulnerability in the Rio Artiguas basin, Nicaragua. Environ Geol 50:569–580
Navada SV, Nair AR, Rao SM, Paliwall BL, Doshi CS (1993) Groundwater recharge studies in arid region of Jalore, Rajasthan using isotope techniques. J Arid Environ 24:125–133
Piscopo G (2001) Groundwater vulnerability map, explanatory notes, Castlereagh Catchment, NSW. Depart of Land and Water Conservation, Australia
Rahman A (2008) A GIS based DRASTIC model for assessing groundwater vulnerability in shallow aquifer in Aligarh, India. Appl Geogr 28:32–53
Sener E, Sener S, Davraz A (2009) Assessment of aquifer vulnerability based on GIS and DRASTIC methods: a case study of the Senirkent-Uluborlu Basin (Isparta, Turkey). Hydrogeol J 17:2023–2035
Tesoriero AJ, Inkpen EL, Voss FD (1998) Assessing groundwater vulnerability using logistic regression. Proceedings for the Source Water Assessment and Protection 98 Conference, Dallas, TX, pp 157–165
Thapinta A, Hudak PF (2003) Use of geographic information systems for assessing groundwater pollution potential by pesticides in Central Thailand. Environ Int 29(1):87–93
Todd DK (1980) Groundwater hydrology, 2nd edn. Wiley, New York, NY
Vias JM, Andreo B, Perles MJ, Carrasco F (2005) A comparative study of four schemes for groundwater vulnerability mapping in a diffuse flow carbonate aquifer under Mediterranean climatic conditions. Environ Geol 47:586–595
Vrba J, Zaporozec A (1994) Guidebook on mapping groundwater vulnerability, international contributions to hydrology vol 16. Heinz Heise, Hannover, p 131
Wang D (2006) Analysis on formation causes of nitrate contamination of shallow groundwater and control countermeasures in Northern Part of Cretaceous Ordos Basin. Ground Water 26(4):12–15 (in Chinese)
Wang Y, Merke BJ, Li Y, Ye H, Fu S, Ihm D (2007) Vulnerability of groundwater in quaternary aquifers to organic contaminants: a case study in Wuhan City, China. Environ Geol 53:479–484
Yin LH, Hou GC, Tao ZP, Li Y (2010) Origin and recharge estimates of groundwater in the Ordos Plateau, People’s Republic of China. Environ Earth Sci 60(8):1731–1738
Zhao ZH, Wang D, Tao ZP, Li Y (2008) Multi-layer circulation model of groundwater flow systems on the Ordos Plateau, China: evidence from water head measurements at different depths of a deep borehole by the Packer system. Geol Bull China 27(8):1131–1137 (in Chinese)
Acknowledgments
This research was funded by the Groundwater Circulation and Rational Development in the Ordos Plateau (GCRDOP) project (Project Code: 1212010634204), China National Natural Science Foundation (41002084), and the field observation station on groundwater and ecology. The authors are in debt to the two anonymous reviewers for their valuable comments and suggestions, which greatly improved the manuscript.
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Yin, L., Zhang, E., Wang, X. et al. A GIS-based DRASTIC model for assessing groundwater vulnerability in the Ordos Plateau, China. Environ Earth Sci 69, 171–185 (2013). https://doi.org/10.1007/s12665-012-1945-z
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DOI: https://doi.org/10.1007/s12665-012-1945-z