A GIS-based DRASTIC model for assessing groundwater vulnerability in hard rock granitic aquifer

Shekhar, Shashank; Pandey, Arvind Chandra; Tirkey, Anamika Shalini

doi:10.1007/s12517-014-1285-2

Cited by 37 publications

(4 citation statements)

References 25 publications

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“…The DRASTIC model is flexible for modification as it allows users to define the model input and weight the importance of the model variables based on their experience and knowledge [23]. This ensures that local hydrogeological characteristics are taken into account, and therefore, the model suits better for the local case study [35,36]. In Equation ( 1), all the essential parameters are determined according to their key roles in the presence of soil water vulnerability in the study area.…”

Section: Thematic Layer Processingmentioning

confidence: 99%

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Estimating Soil Water Susceptibility to Salinization in the Mekong River Delta Using a Modified DRASTIC Model

Tran

et al. 2021

Water

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Saltwater intrusion risk assessment is a foundational step for preventing and controlling salinization in coastal regions. The Vietnamese Mekong Delta (VMD) is highly affected by drought and salinization threats, especially severe under the impacts of global climate change and the rapid development of an upstream hydropower dam system. This study aimed to apply a modified DRASTIC model, which combines the generic DRASTIC model with hydrological and anthropogenic factors (i.e., river catchment and land use), to examine seawater intrusion vulnerability in the soil-water-bearing layer in the Ben Tre province, located in the VMD. One hundred and fifty hand-auger samples for total dissolved solids (TDS) measurements, one of the reflected salinity parameters, were used to validate the results obtained with both the DRASTIC and modified DRASTIC models. The spatial analysis tools in the ArcGIS software (i.e., Kriging and data classification tools) were used to interpolate, classify, and map the input factors and salinization susceptibility in the study area. The results show that the vulnerability index values obtained from the DRASTIC and modified DRASTIC models were 36–128 and 55–163, respectively. The vulnerable indices increased from inland districts to coastal areas. The Ba Tri and Binh Dai districts were recorded as having very high vulnerability to salinization, while the Chau Thanh and Cho Lach districts were at a low vulnerability level. From the comparative analysis of the two models, it is obvious that the modified DRASTIC model with the inclusion of a river or canal network and agricultural practices factors enables better performance than the generic DRASTIC model. This enhancement is explained by the significant impact of anthropogenic activities on the salinization of soil water content. This study’s results can be used as scientific implications for planners and decision-makers in river catchment and land-use management practices.

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Section: Thematic Layer Processingmentioning

confidence: 99%

“…The aquifer media presents the aquifer's salinity attenuation capacity, which depends on the quantity and types of the grains [17,36]. Because the formation factor (F) leans on the porosity (Φ) (i.e., the grain size of aquifer media), the greater the (F), the higher the salinization possibility [4,42].…”

Section: Aquifer Media (A)mentioning

confidence: 99%

Estimating Soil Water Susceptibility to Salinization in the Mekong River Delta Using a Modified DRASTIC Model

Tran

et al. 2021

Water

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“…Topography (T): The area topography directly affects the precipitation distribution and runoff infiltration in the study area, and indirectly affects the retention time of pollutants on the soil surface [43]. For large slopes, precipitation quickly carries pollutants away, in the form of surface runoffs; thus, pollutants are retained only for a short time.…”

Section: The Drastic Methodsmentioning

confidence: 99%

Influence of Agricultural Irrigation Activity on the Potential Risk of Groundwater Pollution: A Study with Drastic Method in a Semi-Arid Agricultural Region of China

Meng

Zhang²,

Liu³

et al. 2020

Sustainability

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Agricultural irrigation strongly affects groundwater pollution in cultivated areas. Groundwater vulnerability was evaluated using the DRASTIC method by considering agricultural activities that affect water infiltration and pollutant transport to the groundwater. Three scenarios, using different water recharge sources and calculation methods, were considered for the Tongliao area of northern China. For Scenario 1, only precipitation contributed to the net recharge estimation and ~33.77% of the area was under high pollution risk. For Scenarios 2 and 3, both precipitation and irrigation return water were considered for net recharge estimations. The fractional areas of high pollution risk regions were 40.60% and 19.22% for Scenarios 2 and 3, respectively. The modified infiltration coefficients for this study area were used in Scenario 3, and the fractional area of the high-risk region was 21.38% lower than for Scenario 2. The use of empirical infiltration coefficients in Scenario 2 overestimated the water infiltration ability in the cultivated areas, which also overestimated the fractional area of high-risk regions in this study. Accurate assessment of the impact of agricultural activities on the groundwater pollution risk is essential for cultivated areas. Emphasis should be placed on the calculation method of proper parameters for DRASTIC model construction.

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“…The correlation between the DRASTI-LU index and the nitrate concentrations in groundwater was investigated to check the efficiency of using this approach to assess groundwater vulnerability. For this purpose, 46 nitrate samples (Table 7) with well locations were obtained of year 2010 from the Office of Geohydrologist, Raipur, Chhattisgarh to investigate the correlation between DRASTI-LU index and nitrate samples (Shekhar et al 2014). Out of the 46 sample locations, only 40 samples have been used to carry out the validation process, and 6 sample locations has no data of DRASTI-LU index because they did not lie in the study area (basin limits).…”

Section: Model Validation With Nitrate (No 3 ) Samplesmentioning

confidence: 99%

Assessment of groundwater vulnerability using modified DRASTIC model in Kharun Basin, Chhattisgarh, India

et al. 2016

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An application of remote sensing and geographic information system (GIS) has become one of the essential techniques in the field of hydrogeological science that helps in assessing, monitoring, conserving, and managing groundwater resources. In the present study, modified DRASTIC model has been used to access the groundwater vulnerable zone of Kharun Basin. The modification has been done by replacing hydraulic conductivity parameter to land use. The aim of this study is to determine susceptible zone for groundwater pollution by integrating hydrogeological layers in GIS environment. The final index map shows that the resulting index value varies from 86 to 191; further, the zones are divided into five classes. The results showed that out of the total area of 4191 km 2 , an area of about 8, 197, 2730, 1229, and 27 km 2 lies in very low, low, moderate, high and very high vulnerable zones, respectively. Sensitivity analysis is also performed in this study, and it reveals that depth of water table, land use, and topography parameters cause large variations in vulnerability index as compared to other parameters. Moreover, land use and topography were found to be more effective parameters in assessing groundwater vulnerability than assumed by original model. Model validation shows a good correlation between nitrate sample and resulting DRASTI-LU index. This study produces a very valuable tool for policy makers as it reveals a very comprehensive indication of vulnerability to ground water contamination. The knowledge about high vulnerable zone is important for local authorities to manage and monitor groundwater resources.

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A GIS-based DRASTIC model for assessing groundwater vulnerability in hard rock granitic aquifer

Cited by 37 publications

References 25 publications

Estimating Soil Water Susceptibility to Salinization in the Mekong River Delta Using a Modified DRASTIC Model

Estimating Soil Water Susceptibility to Salinization in the Mekong River Delta Using a Modified DRASTIC Model

Influence of Agricultural Irrigation Activity on the Potential Risk of Groundwater Pollution: A Study with Drastic Method in a Semi-Arid Agricultural Region of China

Assessment of groundwater vulnerability using modified DRASTIC model in Kharun Basin, Chhattisgarh, India

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