Assessing Aquifer Vulnerability Using GIS-Based DRASTIC Model Coupling with Hydrochemical Parameters in Hard Rock Area from Southern India

Vulnerability analysis in areas vulnerable to anthropogenic pollution has become a key element of sensible resource management and land use planning. This study is intended to estimate aquifer vulnerability using the DRASTIC model and using the vertical electrical sounding (VES) and electrical conductivity (EC) outcomes. The model allows for the identification of hydrogeological environments within the scope of the research, based on a composite definition of each environment’s main geological, geoelectrical, and hydrogeological factors. The results from the DRASTIC model were divided into four equal intervals, high, medium, low, and very low drastic index values. The SW area and NE area depict drastic index values from medium to very high, making it the most vulnerable zone in the study area, while the NW and SW areas show low to very low drastic index values. In addition, the results from the VES and EC the freshwater aquifer in the NE area and brackish water in the SE area, while the rest of the area falls into the category of brackish water. Overall, it can be concluded that areas having freshwater assemblages are on the verge of becoming contaminated in the future while the rest of the NW and SW areas constitute less vulnerable zones. The validation conducted for DRASTIC and EC shows a nearly positive correlation. Wastewater treatment policies must be developed throughout the studied region to prevent contamination of the remaining groundwater.

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Application of a GIS-based DRASTIC model and groundwater quality index method for evaluation of groundwater vulnerability: a case study, Sefid-Dasht

Water Science & Technology Water Supply ◽

10.2166/ws.2015.032 ◽

2015 ◽

Vol 15 (4) ◽

pp. 784-792 ◽

Cited By ~ 3

Author(s):

Nastaran Khodabakhshi ◽

Gholamreza Asadollahfardi ◽

Nima Heidarzadeh

Keyword(s):

Groundwater Quality ◽

Quality Index ◽

Major Ions ◽

Groundwater Vulnerability ◽

Vulnerability Index ◽

Aquifer Vulnerability ◽

Index Method ◽

Drastic Model ◽

Groundwater Quality Index ◽

The North

Pollution control and removal of pollutants from groundwater are a challenging and expensive task. The aims of this paper are to determine the aquifer vulnerability of Sefid-Dasht, in Chaharmahal and Bakhtiari province, Iran, using the DRASTIC model. In addition, the groundwater quality index (GQI) technique was applied to assess the groundwater quality and study the spatial variability of major ion concentrations using a geographic information system (GIS). The vulnerability index ranged from 65 to 132, classified into two classes: low and moderate vulnerability. In the southern part of the aquifer, the vulnerability was moderate. Furthermore, the results indicate that the magnitude of the GQI index varies from 92% to 95%. This means the water has a suitable quality. However, from the north to the south and southwest of the aquifer, the water quality has been deteriorating, and the highest concentration of major ions was found in the southwest of the Sefid-Dasht aquifer. A comparison of the vulnerability maps with the GQI index map indicated a poor relation between them. In the DRASTIC method, movement of groundwater is not considered and may be the reason for such inconsistency. However, the movement of groundwater can transport contaminants.

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GROUNDWATER VULNERABILITY ASSESSMENT USING DRASTIC MODEL OF UP AL-KHASSA DAM SUB-BASIN, KIRKUK, NE IRAQ

Iraqi Geological Journal ◽

10.46717/igj.53.2e.2ms-2020-11-24 ◽

2020 ◽

Vol 53 (2E) ◽

pp. 12-24

Author(s):

Madyan Al-Gburi

Keyword(s):

Vulnerability Assessment ◽

Groundwater Vulnerability ◽

Aquifer Vulnerability ◽

Drastic Model ◽

Drastic Method ◽

Groundwater Vulnerability Assessment ◽

Arc Gis ◽

Vulnerability Map ◽

Gis Software ◽

Program Version

Several studies and assessments have been conducted of areas exposed to pollution, especially areas that contain aquifer. The final extraction of the vulnerability map of the groundwater was constructed through the use of the DRASTIC method by applying the linear equation of the seven coefficients in the Arc GIS software program (Version 10.4). The aim of the study to assess aquifer vulnerability to pollution. Results, vulnerability map range between 75-126 (very low, low, and medium), the study area consists of very low and low vulnerability, except some areas medium vulnerability close to the center of the sub-basin in the standard vulnerability map (s) and 91-149 (very low, low, and medium) for the agriculture or pesticide vulnerability map (p), the medium vulnerability occupies a greater area the center of the sub-basin.

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A GIS-based DRASTIC model for assessing aquifer vulnerability in Kakamigahara Heights, Gifu Prefecture, central Japan

The Science of The Total Environment ◽

10.1016/j.scitotenv.2004.11.005 ◽

2005 ◽

Vol 345 (1-3) ◽

pp. 127-140 ◽

Cited By ~ 308

Author(s):

Insaf S. Babiker ◽

Mohamed A.A. Mohamed ◽

Tetsuya Hiyama ◽

Kikuo Kato

Keyword(s):

Aquifer Vulnerability ◽

Central Japan ◽

Drastic Model ◽

Gifu Prefecture

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Electrical resistivity survey and shallow subsurface geological study in hard rock terrain, Southern India

Journal of the Geological Society of India ◽

10.1007/s12594-015-0219-2 ◽

2015 ◽

Vol 85 (3) ◽

pp. 305-312 ◽

Cited By ~ 3

Author(s):

S. Anbazhagan ◽

R. Indhirajith ◽

S. Uma Maheshwaran ◽

A. Jothibasu ◽

A. Venkatesan ◽

...

Keyword(s):

Electrical Resistivity ◽

Hard Rock ◽

Southern India ◽

Hard Rock Terrain ◽

Shallow Subsurface ◽

Electrical Resistivity Survey ◽

Resistivity Survey

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Vulnerability Identification of Hajiabad Plain Aquifer: The DRASTIC Model and the GIS-Based Fuzzy Logic Method

Air Soil and Water Research ◽

10.1177/11786221211048469 ◽

2021 ◽

Vol 14 ◽

pp. 117862212110484

Author(s):

Mehrdad Hassanzadeh ◽

Mehdi Momeni Reghabadi ◽

Amir Robati

Keyword(s):

Fuzzy Logic ◽

Water Samples ◽

Groundwater Resources ◽

Fuzzy Optimization ◽

Optimization Methods ◽

Aquifer Vulnerability ◽

Optimal Method ◽

Drastic Model ◽

Vulnerability Maps ◽

Bandar Abbas

Hajiabad plain with an area of about 158 km2 is located about 160 km north of Bandar Abbas in Iran. Due to the significance of this plain in terms of agricultural and drinking water supply in the region and the declining groundwater level in the region, the withdrawal of water resources has been prohibited in recent years. The purpose of this study is to determine the vulnerability of the aquifer using the DRASTIC model and the optimal method of fuzzy logic as well as the drastic method calibrated with nitrate. Finally, the final vulnerability maps were calibrated with EC values. In order to investigate the hydrogeochemical properties of groundwater resources of the plain, 26 water samples were collected from designated points in different periods of the water year 2018. Water samples were analyzed in Hormozgan soil and water laboratory. Also, the results of water sample data analyzed by Hormozgan Regional Water Organization were used. Assessment of aquifer vulnerability based on vulnerability models showed that the east and parts of the center of the plain were subject to the highest vulnerability, while the southern, southwestern, and northern slopes of the plain were of the lowest vulnerability. The determined coefficients between nitrate and DRASTIC vulnerability models and fuzzy optimization were estimated to be 0.41 and 0.36, respectively. Nitrate concentration validation demonstrated that the vulnerabilities of Hajiabad plain aquifer were almost similar under both drastic model and fuzzy optimization methods.

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