GIS-based DRASTIC method for groundwater vulnerability assessment: a review

Shirazi, Sharif Moniruzzaman; Imran, H. M.; Akib, Shatirah

doi:10.1080/13669877.2012.686053

Cited by 159 publications

(75 citation statements)

References 45 publications

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“…Geographic Information Systems (GIS) applications are often used to estimate groundwater vulnerability due to the easiness and efficiency to manipulate, analyze and incorporate geographic data, such geologic and hydrogeological data [23]. DRASTIC index is one of the methods used to estimate groundwater vulnerability [1].…”

Section: Groundwater Pollution Vulnerabilitymentioning

confidence: 99%

“…Some of these factors are particularly important for vulnerability mapping, such as geological materials, landforms, unsaturated zone, aquifer hydraulic features and land use. Hence, it will be necessary create several models with different vulnerability indexes, different statistical methods, process-based methods and overlay and index methods [23].…”

Section: Groundwater Pollution Vulnerabilitymentioning

confidence: 99%

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Assessing Groundwater Vulnerability to Pollution through the DRASTIC Method

Duarte

Teodoro

Gonçalves

et al. 2014

Computational Science and Its Applications – ICCSA 2014

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Section: Groundwater Pollution Vulnerabilitymentioning

confidence: 99%

Section: Groundwater Pollution Vulnerabilitymentioning

confidence: 99%

Assessing Groundwater Vulnerability to Pollution through the DRASTIC Method

Duarte

Teodoro

Gonçalves

et al. 2014

Computational Science and Its Applications – ICCSA 2014

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“…Some researchers modeled groundwater vulnerability using three of the seven DRASTIC factors-depth to water, net recharge, and soil media-factors that were found to be statistically correlated with observed groundwater quality data (Rupert 1999). Many studies have demonstrated that the DRASTIC model can be enhanced by incorporating information on land use, land cover, and land management (Rupert 1999;Gogu and Dassargues 2000;Dappen and Merchant 2004;Awawdeh and Jaradat 2009;Shirazi et al 2012;Merchant and Dappen 2013). Since the development of the DRASTIC model, many other index models have been developed.…”

Section: Introductionmentioning

confidence: 95%

A Geospatial Approach for Assessing Groundwater Vulnerability to Nitrate Contamination in Agricultural Settings

Merchant

Chen

2014

Water Air Soil Pollut

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Groundwater is the principal source of drinking water for at least one third of Earth's human inhabitants. Thus, protection of groundwater is a critical issue in many locales. Nitrates and other contaminants that impact human health are of particular concern. Mapping of aquifer vulnerability to pollution is a critical first step in implementing groundwater management protection programs; however, mapping is often constrained by generalizations inherent in model formulation and availability of data. In this study, a groundwater vulnerability model, which employs data extracted from widely available national and statewide geospatial datasets, is used to evaluate regional groundwater pollution risk in the Elkhorn River Basin, Nebraska, USA. The model, implemented in a geographic information system (GIS), is specifically structured to address risks of nitrate contamination in agricultural landscapes; thus, land use is a key factor. Modeled groundwater vulnerability was found to be positively correlated with nitrate concentrations obtained from sampled wells. The results suggest that the approach documented here could be used effectively to model regional groundwater pollution risk in other areas.

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“…Large amount of effluents generated from urban population, industries and agricultural activities may pollute soil and groundwater. Groundwater recharge and distribution depend on the underlying geological formations, surface expression, local and regional climate settings [ARSHAD et al 2014;SHIRAZI et al 2010;SHIRAZI et al 2012;SHIRAZI et al 2013;SRI-VASTAVA 2002]. Sufficient information and an overview of the present groundwater condition have significant role in the early stages of preparing a sustainable groundwater development plan.…”

Section: Introductionmentioning

confidence: 99%

Groundwater quality and hydrogeological characteristics of Malacca state in Malaysia

Shirazi¹,

Adham²,

Zardari³

et al. 2015

Journal of Water and Land Development

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Groundwater quality and aquifer productivity of Malacca catchment in Peninsular Malaysia are presented in this article. Pumping test data were collected from 210 shallow and 17 deep boreholes to get well inventory information. Data analysis confirmed that the aquifers consisting of schist, sand, limestone and volcanic rocks were the most productive aquifers for groundwater in Malacca state. GIS-based aquifer productivity map was generated based on bedrock and discharge capacity of the aquifers. Aquifer productivity map is classified into three classes, namely high, moderate and low based on discharge capacity. Groundwater potential of the study area is 35, 57 and 8% of low, moderate and high class respectively. Fifty two shallow and 14 deep aquifer groundwater samples were analyzed for water quality. In some cases, groundwater quality analysis indicated that the turbidity, total dissolved solids, iron, chloride and cadmium concentrations exceeded the limit of drinking water quality standards.

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GIS-based DRASTIC method for groundwater vulnerability assessment: a review

Cited by 159 publications

References 45 publications

Assessing Groundwater Vulnerability to Pollution through the DRASTIC Method

Assessing Groundwater Vulnerability to Pollution through the DRASTIC Method

A Geospatial Approach for Assessing Groundwater Vulnerability to Nitrate Contamination in Agricultural Settings

Groundwater quality and hydrogeological characteristics of Malacca state in Malaysia

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