Use of water quality index and DRASTIC index correlation for better assessment of groundwater vulnerability to pollution: a case study
DRASTIC method's vulnerability assessment for estimating the potential risk of contamination in shallow groundwater aquifers is the most acceptable technique. The method uses seven parameters, namely, depth to groundwater table, net recharge, aquifer media, soil media, topography, land use and...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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IWA Publishing
2023-11-01
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| Series: | Water Supply |
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| Online Access: | http://ws.iwaponline.com/content/23/11/4759 |
| _version_ | 1797428382447697920 |
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| author | Jatin Chaudhary K. K. Singh |
| author_facet | Jatin Chaudhary K. K. Singh |
| author_sort | Jatin Chaudhary |
| collection | DOAJ |
| description | DRASTIC method's vulnerability assessment for estimating the potential risk of contamination in shallow groundwater aquifers is the most acceptable technique. The method uses seven parameters, namely, depth to groundwater table, net recharge, aquifer media, soil media, topography, land use and land cover, and hydraulic conductivity to obtain vulnerability index values. These index values are validated with one or a few elements of water characteristics as pollution indicators. In most of the reported studies, the correlation coefficient between the DRASTIC index and the concentration of individual element(s) was low. The present study uses the water quality index (WQI) to correlate with the DRASTIC index value. In this paper, 11 physical and chemical water characteristics data of 31 well locations within the Faridabad District of Haryana, India are utilized to estimate the WQI. The correlation coefficients for single element concentration with DRASTIC index vary between the range of 0.104 to 0.304. The correlation coefficients for the concentration of NO3- and WQI are found to be 0.104 and 0.533, respectively. Thus, the DRASTIC index demonstrates a stronger correlation with the WQI when compared to single element concentration.
HIGHLIGHTS
In earlier works, the DRASTIC model of groundwater vulnerability assessment has been poorly correlated with the concentration of NO3− in groundwater by researchers.;
The current research work finds a better correlation between the DRASTIC index and the water quality index.;
The quality of water assessed by these two indices has also been validated by the land use of well/water sampling station locations.; |
| first_indexed | 2024-03-09T08:58:05Z |
| format | Article |
| id | doaj.art-60bc5eacdf72479ab161957b7fdf35ca |
| institution | Directory Open Access Journal |
| issn | 1606-9749 1607-0798 |
| language | English |
| last_indexed | 2024-03-09T08:58:05Z |
| publishDate | 2023-11-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Water Supply |
| spelling | doaj.art-60bc5eacdf72479ab161957b7fdf35ca2023-12-02T12:34:44ZengIWA PublishingWater Supply1606-97491607-07982023-11-0123114759477410.2166/ws.2023.286286Use of water quality index and DRASTIC index correlation for better assessment of groundwater vulnerability to pollution: a case studyJatin Chaudhary0K. K. Singh1 Department of Civil Engineering, NIT Kurukshetra, Kurukshetra, Haryana, India Department of Civil Engineering, NIT Kurukshetra, Kurukshetra, Haryana, India DRASTIC method's vulnerability assessment for estimating the potential risk of contamination in shallow groundwater aquifers is the most acceptable technique. The method uses seven parameters, namely, depth to groundwater table, net recharge, aquifer media, soil media, topography, land use and land cover, and hydraulic conductivity to obtain vulnerability index values. These index values are validated with one or a few elements of water characteristics as pollution indicators. In most of the reported studies, the correlation coefficient between the DRASTIC index and the concentration of individual element(s) was low. The present study uses the water quality index (WQI) to correlate with the DRASTIC index value. In this paper, 11 physical and chemical water characteristics data of 31 well locations within the Faridabad District of Haryana, India are utilized to estimate the WQI. The correlation coefficients for single element concentration with DRASTIC index vary between the range of 0.104 to 0.304. The correlation coefficients for the concentration of NO3- and WQI are found to be 0.104 and 0.533, respectively. Thus, the DRASTIC index demonstrates a stronger correlation with the WQI when compared to single element concentration. HIGHLIGHTS In earlier works, the DRASTIC model of groundwater vulnerability assessment has been poorly correlated with the concentration of NO3− in groundwater by researchers.; The current research work finds a better correlation between the DRASTIC index and the water quality index.; The quality of water assessed by these two indices has also been validated by the land use of well/water sampling station locations.;http://ws.iwaponline.com/content/23/11/4759drastic modelgroundwater vulnerabilitywater quality assessmentwater quality indexwater resource management |
| spellingShingle | Jatin Chaudhary K. K. Singh Use of water quality index and DRASTIC index correlation for better assessment of groundwater vulnerability to pollution: a case study Water Supply drastic model groundwater vulnerability water quality assessment water quality index water resource management |
| title | Use of water quality index and DRASTIC index correlation for better assessment of groundwater vulnerability to pollution: a case study |
| title_full | Use of water quality index and DRASTIC index correlation for better assessment of groundwater vulnerability to pollution: a case study |
| title_fullStr | Use of water quality index and DRASTIC index correlation for better assessment of groundwater vulnerability to pollution: a case study |
| title_full_unstemmed | Use of water quality index and DRASTIC index correlation for better assessment of groundwater vulnerability to pollution: a case study |
| title_short | Use of water quality index and DRASTIC index correlation for better assessment of groundwater vulnerability to pollution: a case study |
| title_sort | use of water quality index and drastic index correlation for better assessment of groundwater vulnerability to pollution a case study |
| topic | drastic model groundwater vulnerability water quality assessment water quality index water resource management |
| url | http://ws.iwaponline.com/content/23/11/4759 |
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