Groundwater pollution vulnerability assessment in the Assin municipalities of Ghana using GIS-based DRASTIC and SINTACS methods

Mensah, Derrick Owusu; Appiah-Adjei, Emmanuel K.; Asante, Dennis

doi:10.1007/s40808-022-01680-4

Cited by 4 publications

(2 citation statements)

References 53 publications

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“…The DRASTIC and SINTACS range for each element has a weight that ranges from 1 to 10. Seven parameters, or seven input parameters for modeling, form the foundation of the DRASTIC and SINTACS models [34,38,39]. The following are the data sources listed in Table S1.…”

Section: Assigning Rate and Weight To The Parameters Usedmentioning

confidence: 99%

Integrated Multi-Model Approach for Assessing Groundwater Vulnerability in Rajasthan’s Semi-Arid Zone: Incorporating DRASTIC and SINTACS Variants

Narisetty,

Tripathi,

Kanga

et al. 2023

Hydrology

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Groundwater pollution in Rajasthan, India, poses significant challenges due to the region’s heavy reliance on this resource for drinking and irrigation. Given the increasing water scarcity and overexploitation, this study assesses the susceptibility of groundwater pollution in this semi-arid area. We applied and compared vulnerability mapping methods, DRASTIC and SINTACS, and their modified versions. These methodologies considered various geological and environmental factors such as depth-to-water table, recharge, aquifer conductivity, soil, and topography. The modified versions also integrated land use and temperature data for enhanced sensitivity. Validation was achieved by comparing contaminant data from the Central Ground Water Board (CGWB), India, focusing on primary contaminants such as fluoride, nitrate, chloride, and total dissolved solids (TDS). The results strongly align with the modified methodologies and observed groundwater ion values. Specifically, more than half of the 300 sample points analyzed indicated TDS values exceeding the permissible 300 ppm limit, with over 80 points surpassing 500 ppm. The vulnerability was classified into the following five categories: very low; low; medium; high; and very high. Notably, 30.53% of the area displayed “very high” vulnerability under the modified DRASTIC model. Districts like Jalore, Pali, Sirohi, and Jodhpur emerged as highly vulnerable zones, while areas within Udaipur, Kota, and Jaipur, among others, showed very high vulnerability. This research highlights the importance of conducting groundwater vulnerability assessments, especially for regions grappling with water scarcity like Rajasthan. The findings from this research are pivotal in guiding sustainable ground water resource management, as well as advocating continual monitoring and effective groundwater conservation strategies in the region.

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Section: Assigning Rate and Weight To The Parameters Usedmentioning

confidence: 99%

Integrated Multi-Model Approach for Assessing Groundwater Vulnerability in Rajasthan’s Semi-Arid Zone: Incorporating DRASTIC and SINTACS Variants

Narisetty,

Tripathi,

Kanga

et al. 2023

Hydrology

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show abstract

“…Groundwater vulnerability assessment methods can be broadly categorized into three types: i) index-overlay methods, ii) statistical analysis methods, and iii) process-based methods. (Bernardo et al 2022;Pouye et al 2022;Koon et al 2023;Mensah et al 2023;Omeje et al 2023). The choice of method depends on factors such as aquifer type, area scale, data availability and pollutant type (Etuk et al 2022).…”

Section: Introductionmentioning

confidence: 99%

Groundwater vulnerability assessment using a GIS-based DRASTIC method in the Erbil Dumpsite area (Kani Qirzhala), Central Erbil Basin, North Iraq

Hamed,

Dara,

Kirlas

2024

Journal of Groundwater Science and Engineering

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Groundwater vulnerability assessment is a crucial step in the efficient management of groundwater resources, especially in areas with intensive anthropogenic activities and groundwater pollution. In the present study, the DRASTIC method was applied using Geographic Information System (GIS) to delineate groundwater vulnerability zones in the Erbil Dumpsite area, Central Erbil Basin, North Iraq. Results showed that the area was classified into four vulnerability classes: Very low (16.97%), low (27.67%), moderate (36.55%) and high (18.81%). The southern, south-eastern and northern parts of the study area exhibited the highest vulnerability potential, while the central-northern, northern and north-western regions displayed the lowest vulnerability potential. Moreover, results of the single-parameter sensitivity analysis indicated that amongst the seven DRASTIC parameters, the unsaturated zone and the aquifer media were the most influencing parameters. In conclustion, the correlation of 25 nitrate concentration values with the final vulnerability map, assessed using the Pearson correlation coefficient, yielded a satisfactory result of R = 0.72.

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Unveiling the Hidden Depths: A Review for Understanding and Managing Groundwater Contamination in Arid Regions

Gemail,

Abd-Elaty

2023

The Handbook of Environmental Chemistry

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Groundwater pollution vulnerability assessment in the Assin municipalities of Ghana using GIS-based DRASTIC and SINTACS methods

Cited by 4 publications

References 53 publications

Integrated Multi-Model Approach for Assessing Groundwater Vulnerability in Rajasthan’s Semi-Arid Zone: Incorporating DRASTIC and SINTACS Variants

Integrated Multi-Model Approach for Assessing Groundwater Vulnerability in Rajasthan’s Semi-Arid Zone: Incorporating DRASTIC and SINTACS Variants

Groundwater vulnerability assessment using a GIS-based DRASTIC method in the Erbil Dumpsite area (Kani Qirzhala), Central Erbil Basin, North Iraq

Unveiling the Hidden Depths: A Review for Understanding and Managing Groundwater Contamination in Arid Regions

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