Optimization of the DRASTIC method for groundwater vulnerability assessment via the use of simple statistical methods and GIS

Panagopoulos, George; Αντωνάκος, A.; Lambrakis, N.

doi:10.1007/s10040-005-0008-x

Cited by 273 publications

(135 citation statements)

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“…This method relies heavily on the analysts' subjective judgements regarding the relevance of each of the variables for the pollution potential, by assessing its contribution to the hydrological processes that determine the fate of pollutants. Thus, the results have been questioned by some researchers who had attempted to improve the DRASTIC index system (Napolitano and Fabbri 1996, Gogu and Dassargues 2000, Di Martino et al 2005, Panagopoulos et al 2006, Mohammadi et al 2009, Pathak et al 2009). The uncertainty of the DRASTIC method mainly comes from the subjective nature of assigning weights and ratings, as shown in equation (1).…”

Section: Classic Drastic and Fuzzy-optimization Methodsmentioning

confidence: 99%

“…Numerous sensitivity analysis studies have been done on DRASTIC (e.g. Bailey 1988, Heuvelink et al 1989, Lodwick et al 1990, Barber et al 1993, Merchant 1994, Babiker et al 2005, Panagopoulos et al 2006. There are two main methods of doing sensitivity analysis in DRASTIC: one is the map removal analysis and the other is single-parameter sensitivity analysis (Napolitano and Fabbri 1996).…”

Section: Classic Drastic and Fuzzy-optimization Methodsmentioning

confidence: 99%

“…It has been successfully applied to many different geographical locations in the world, including the USA (Loague et al 1996, Frind et al 2006, Japan (Babiker et al 2005, Pathak et al 2009), Europe (Crema et al 1998, Di Martino et al 2005, Panagopoulos et al 2006, South Korea (Kim andHamm 1999, Lee 2003), South Africa (Lynch et al 1994), Iran (Mohammadi et al 2009) and China (Chen and Fu 2003, Wang et al 2007, Yu et al 2010.…”

Section: Introductionmentioning

confidence: 99%

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A field demonstration of the entropy-weighted fuzzy DRASTIC method for groundwater vulnerability assessment

Chen

Zhang

Yao

et al. 2012

Hydrological Sciences Journal

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., 2012. A field demonstration of the entropy-weighted fuzzy DRASTIC method for groundwater vulnerability assessment. Hydrological Sciences Journal, 57 (7), 1420-1432.Abstract Groundwater vulnerability assessment based on the DRASTIC index has been widely used since the 1980s to map potential risks of groundwater contamination. However, its applicability and usefulness are affected by two uncertain and subjective factors. One is the discretization of continuous input variables and the other is the assignment of different weights to the index variables. In this study, an entropy-weighted fuzzy-optimization approach was developed to augment and improve the classic DRASTIC method by reducing the uncertainties associated with variable discretization and weight assignment. The modified DRASTIC method was applied to a study site in Shandong, north China. The entropy-weighted fuzzy-optimization approach is shown to provide a more rigorous delineation of the relative vulnerability distribution. Meanwhile, the new approach does not require the use of more parameters. The results suggest that this approach significantly improves and enhances the ability of the classic DRASTIC method in a more systematic and rigorous way.Key words groundwater vulnerability; DRASTIC index; entropy-weighted fuzzy optimization; sensitivity analysis Une démonstration de terrain de la méthode DRASTIC floue pondérée par l'entropie pour l'évaluation de la vulnérabilité des eaux souterraines Résumé L'évaluation de la vulnérabilité des eaux souterraines sur la base de l'indice DRASTIC a été largement utilisée depuis les années 1980 pour la cartographie des risques potentiels de pollution des eaux souterraines. Son applicabilité et son utilité sont cependant affectées par les deux facteurs que sont l'incertitude et la subjectivité. Il faut d'abord discrétiser les variables d'entrée continues, puis attribuer des poids aux variables de l'indice. Dans cette étude, nous avons adopté une approche d'optimisation floue pondérée par l'entropie, afin d'élargir et d'améliorer la méthode DRASTIC classique en réduisant les incertitudes liées à la discrétisation des variables et à l'attribution des poids. La méthode DRASTIC modifiée a été appliquée à un site d'étude dans le Shandong, au Nord de la Chine. L'approche d'optimisation floue pondérée par l'entropie s'est révélée fournir une définition plus rigoureuse de la distribution relative de vulnérabilité. En même temps, la nouvelle approche ne nécessite pas d'utiliser davantage de paramètres. Les résultats suggèrent que cette approche améliore significativement et de façon systématique et rigoureuse le potentiel de la méthode DRASTIC classique.

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Section: Classic Drastic and Fuzzy-optimization Methodsmentioning

confidence: 99%

Section: Classic Drastic and Fuzzy-optimization Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A field demonstration of the entropy-weighted fuzzy DRASTIC method for groundwater vulnerability assessment

Chen

Zhang

Yao

et al. 2012

Hydrological Sciences Journal

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“…The DRASTIC method has been criticized for the redundancy of parameters related to the aquifer media and the vadose zone (Panagopoulos et al 2006). The soil zone is a subset of the vadose zone, while, for surficial aquifers, the aquifer media overlaps with the soil zone and the vadose zone.…”

Section: Drasticmentioning

confidence: 99%

“…By far the most commonly used water quality indicator is nitrate-nitrogen (Debernardi et al 2008;Holman et al 2005;Panagopoulos et al 2006;Rupert 2001), likely owing to its prevalence in rural settings, relatively inexpensive analysis costs, and abundant historical data. This indicator, however, is not conservative as it is affected by various nitrogen cycling processes in the soil (Addiscott 2005;Kendall 1998); nitrate can undergo denitrification (Bottcher et al 1990;Fukada et al 2004).…”

Section: Intrinsic Susceptibility Accuracymentioning

confidence: 99%

Assessing risk to groundwater quality using an integrated risk framework

2013

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Risk to groundwater quality is defined as a function of susceptibility, hazard and consequence. Aquifer susceptibility combines the intrinsic susceptibility of the physical system with potential preferential pathways. Hazard threats are assessed based on the potential impact and probability of release. The consequence is the financial cost of the loss of the resource. The risk assessment methodology is applied to the Township of vi

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Coupling of Fuzzy Logic‐Based Method with GIS for Groundwater Vulnerability Assessment

Dixon¹,

Uddameri²

2015

GIS and Geocomputation for Water Resource Science and Engineering

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Optimization of the DRASTIC method for groundwater vulnerability assessment via the use of simple statistical methods and GIS

Cited by 273 publications

References 20 publications

A field demonstration of the entropy-weighted fuzzy DRASTIC method for groundwater vulnerability assessment

A field demonstration of the entropy-weighted fuzzy DRASTIC method for groundwater vulnerability assessment

Assessing risk to groundwater quality using an integrated risk framework

Coupling of Fuzzy Logic‐Based Method with GIS for Groundwater Vulnerability Assessment

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