2012
DOI: 10.1016/j.scitotenv.2012.08.037
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Assessment and validation of groundwater vulnerability to nitrate based on a modified DRASTIC model: A case study in Jilin City of northeast China

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Cited by 252 publications
(122 citation statements)
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“…They showed that correlation coefficient between DRASTIC index and nitrate concentration was 68 % in modified model that was substantially higher than 23 % obtained for the original model. Houan et al (2012) indicated that mapping of groundwater vulnerability to nitrate can be applied for sensible groundwater resource management and land-use planning. …”
Section: Model Validationmentioning
confidence: 99%
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“…They showed that correlation coefficient between DRASTIC index and nitrate concentration was 68 % in modified model that was substantially higher than 23 % obtained for the original model. Houan et al (2012) indicated that mapping of groundwater vulnerability to nitrate can be applied for sensible groundwater resource management and land-use planning. …”
Section: Model Validationmentioning
confidence: 99%
“…The more popular types of the overlay and index methods are GOD (Foster 1987), IRISH (Daly and Drew 1999), AVI (Van Stemproot et al 1993), and DRASTIC (Aller et al 1987). DRASTIC and GOD have been used in several places including the USA (Fritch et al 2000;Shukla et al 2000), Morocco (Ettazarini 2006), China (Wen et al 2008;Houan et al 2012), Jordan (Naqa et al 2006), and Iran (Niknam et al 2007;Saatsaz and Sulaiman 2011;Akbari and Rahimi 2011). GOD and DRASTIC models take benefit of a GIS-based cartography.…”
Section: Introductionmentioning
confidence: 99%
“…The evaluation is accomplished by creating pollution vulnerability scores at different locations through the numerical joining of environmental factors affecting movement of surface contaminants to groundwater (Thapinta, 2002). The higher the vulnerability scores the greater the potential for pollution contamination (Huan, 2012). According to Pathak (2010), this layer overlay method is one of the most widely used to compute groundwater vulnerability indices over large geographical areas; these areas often involve a variety of hydrogeological settings.…”
Section: Groundwater Pollution Vulnerability Indexmentioning
confidence: 99%
“…With the DRASTIC method providing the ability to track vulnerable areas of the surface aquifer, techniques were developed to predict which subsurface areas are more likely than others to become polluted as a result of actions taking place at or near the land surface (Pathak, 2010 andHuan, 2012). According to Secunda (1998), the DRASTIC model has proven to be useful when estimating vadose zone susceptibility to pollutants permeating from the ground surface through synthesis of the seven mappable hydrogeological impact factors.…”
Section: Groundwater Pollution Vulnerability Indexmentioning
confidence: 99%
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