Shrestha Sangam, Semkuyu Dickson John, Pandey Vishnu P
Water Engineering and Management, School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4 Klong Luang, Pathum Thani 12120, Thailand.
Water Engineering and Management, School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4 Klong Luang, Pathum Thani 12120, Thailand.
Sci Total Environ. 2016 Jun 15;556:23-35. doi: 10.1016/j.scitotenv.2016.03.021. Epub 2016 Mar 10.
Groundwater vulnerability and risk assessment is a useful tool for groundwater pollution prevention and control. In this study, GIS based DRASTIC model have been used to assess intrinsic aquifer vulnerability to pollution whereas Groundwater Risk Assessment Model (GRAM) was used to assess the risk to groundwater pollution in the groundwater basin of Kathmandu Valley. Seven hydrogeological factors were used in DRASTIC model to produce DRASTIC Index (DI) map which represent intrinsic groundwater vulnerability to pollution of the area. The seven hydrogeological factors used were depth to water, net recharge, aquifer media, soil media, topography, impact of vadose zone, and hydraulic conductivity of aquifer. GIS based GRAM was used to produce likelihood of release of hazards, likelihood of detection of hazards, consequence of hazards and residual risk of groundwater contamination in terms of nitrate in the groundwater basin. It was found that more than 50% of the groundwater basin area in the valley is susceptible to groundwater pollution and these areas are mostly in Northern groundwater district Low and very low vulnerable areas account for only 13% and are located in Central and Southern groundwater districts. However after taking into account the barriers to groundwater pollution and likelihood of hazards release and detection, it was observed that most areas i.e. about 87% of the groundwater basin are at moderate residual risk to groundwater pollution. The resultant groundwater vulnerability and risk map provides a basis for policy makers and planner's ability to use information effectively for decision making at protecting the groundwater from pollutants.
地下水脆弱性与风险评估是预防和控制地下水污染的一项有用工具。在本研究中,基于地理信息系统(GIS)的DRASTIC模型被用于评估含水层对污染的固有脆弱性,而地下水风险评估模型(GRAM)则被用于评估加德满都谷地地下水盆地的地下水污染风险。DRASTIC模型使用了七个水文地质因素来生成DRASTIC指数(DI)图,该图代表了该地区地下水对污染的固有脆弱性。所使用的七个水文地质因素分别是地下水位深度、净补给量、含水层介质、土壤介质、地形、包气带影响以及含水层的水力传导率。基于GIS的GRAM被用于得出加德满都谷地地下水盆地中危害物质释放的可能性、危害物质被检测到的可能性、危害后果以及以硝酸盐计的地下水污染残留风险。研究发现,该谷地超过50%的地下水盆地面积易受地下水污染影响,这些区域大多位于北部地下水区。低脆弱性和极低脆弱性区域仅占13%,位于中部和南部地下水区。然而,在考虑了地下水污染的阻碍因素以及危害物质释放和检测的可能性之后,观察到大部分区域,即约87%的地下水盆地,面临的地下水污染残留风险为中度。所得出的地下水脆弱性和风险图为政策制定者和规划者有效利用信息以做出保护地下水免受污染物侵害的决策提供了依据。