Assessing groundwater vulnerability to contamination in an arid environment using DRASTIC and GOD models

Ghazavi, Reza; Ebrahimi, Zohre

doi:10.1007/s13762-015-0813-2

Cited by 133 publications

(39 citation statements)

References 25 publications

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“…Currently, this is the most widely used method for the assessment of aquifer contamination vulnerability. The model is formed by combination of seven hydrogeological parameters, viz D = depth of water table, R = net recharge, A = aquifer media, S = soil media, T = topography, I = impact of vadose zone and C = hydraulic conductivity which are working in coordination to assess the aquifer pollution potential (Al Hallaq and Elaish 2012; Ghazavi and Ebrahimi 2015). In the present study, data of each model parameter have been collected from various sources.…”

Section: Drastic Modellingmentioning

confidence: 99%

Groundwater vulnerability assessment of Hoshangabad and Budni industrial area, Madhya Pradesh, India, using geospatial techniques

2020

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The quality of groundwater can be determined by hydrogeological formations which vary geographically. Subsurface geology has significant role in governing the movement and quality of groundwater. The present study aims assessment of groundwater contamination vulnerability in Hoshangabad and Budni industrial area using the DRASTIC model approach. The model is hybridization of the seven parameters that provides input to the model. In the model, rating and weightage to each parameter were assigned as per the relative significance of the parameter in groundwater contamination. Groundwater contamination vulnerability index (GWVI) has been computed by integrating of these data layers in ArcGIS environment. The obtained GWVI in the area varies from 66 to 170, which was further divided into five zones, i.e. (1) very low GW contamination zone, (2) low GW contamination zone, (3) moderate GW contamination zone, (4) high GW contamination zone and (5) very high GW contamination zone. Further, the model has been validated by analysing the sulphide concentration in groundwater of the delineated GW contamination vulnerable zones. The model has been found effective for the prevailing hydrogeological settings of the area. The model can serve as an effective tool for the concerned authority, social workers and government/ non-organizations for the management of groundwater resources in the area. Further, application of the GIS technique has been found useful in preparing the database of each variable of the model.

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Section: Drastic Modellingmentioning

confidence: 99%

Groundwater vulnerability assessment of Hoshangabad and Budni industrial area, Madhya Pradesh, India, using geospatial techniques

2020

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“…Comparative analysis between DRASTIC results and nitrate levels has been used in several studies (Assaf and Saadeh ; Javadi et al , ; Ghazavi and Ebrahimi ) modified DRASTIC model using nitrate measurements. They showed that correlation coefficient ( R 2 ) between DRASTIC index and nitrate concentration was 0.680 in a modified model, which indicates a good correlation.…”

Section: Resultsmentioning

confidence: 99%

Application of Groundwater Vulnerability Overlay and Index Methods to the Jijel Plain Area (Algeria)

Boufekane

Saighi

2017

Groundwater

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Today, scientists are deeply concerned by the vulnerability of groundwater reservoirs to pollution. Relatively simple overlay and index methods can be used to produce groundwater vulnerability maps in geographic information system. In addition, this study deals with contamination from nonpoint sources. In this study, two such models, DRASTIC and GOD, were applied in the Jijel Plain area of northeast Algeria and compared with measured groundwater nitrate concentrations. This showed that results from DRASTIC were better than GOD, 69% correlation with nitrate compared to 56%. DRASTIC was better able to identify vulnerable zones along the river valleys. The DRASTIC model was then modified using the nitrate concentrations to optimize the rating score given within each parameter range and sensitivity analysis to change the weighting given for each parameter. These combined changes gave a final Pearson's correlation of 83% with nitrate. This showed that recharge, aquifer type, and topography were the key factors in controlling vulnerability to nitrate pollution.

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“…Each of these attributes is given a weighing factor reflecting the sensitivity of the system and process to it [15] [16]. These are also given rating factors, based on their values in the specific locations.…”

Section: Techniques and Approachmentioning

confidence: 99%

Natural Attenuation Capacity Indicators for Groundwater Remediation to the Northeastern Cairo

Embaby¹,

Sadek²,

Rayan³

2017

GEP

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The natural attenuation capacity of groundwater is considered to be an important factor for remediation purpose, it is also important for surveying suitability in the early phases of siting hazardous facilities. The present work has been devoted to explore the natural attenuation capacity of the groundwater system northeast Cairo. Some indicators (hydrogeological, hydrochemical and isotopic) have been insighted to explore the system retardability against contaminant dispersion. Groundwater flow and contaminant transport have been pointed out using GOD index which varied from 0.04 to 0.28 reflecting high protectability. The isotopic contents (18O, 3H, and 14C) showed a general comply with the GOD index and helped to delineate the sectors of high contaminate attenuation ability. Kelly index inferred significantly high adsorption potential on the aquifer clay content. The calcite and dolomite tend to precipitate on the aquifer contact providing a chance for specific contaminants to co-precipitate. The Eh-pH relation of the studied groundwater samples indicates high oxidation conditions and openness of the system. The attenuation capacity has been determined mathematically, it assumes the dispersive, advective, sorptive, and degradative processes acting on a solute in a one-dimensional flow system. The value of attenuation capacity increases by decreasing groundwater velocity and completely vanishes at a certain high velocity; determined for the relevant radioactive contaminants.

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Assessing groundwater vulnerability to contamination in an arid environment using DRASTIC and GOD models

Cited by 133 publications

References 25 publications

Groundwater vulnerability assessment of Hoshangabad and Budni industrial area, Madhya Pradesh, India, using geospatial techniques

Groundwater vulnerability assessment of Hoshangabad and Budni industrial area, Madhya Pradesh, India, using geospatial techniques

Application of Groundwater Vulnerability Overlay and Index Methods to the Jijel Plain Area (Algeria)

Natural Attenuation Capacity Indicators for Groundwater Remediation to the Northeastern Cairo

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