Mapping groundwater vulnerability using drastic method

Preventive management and protection of groundwater were to create a groundwater vulnerability map. This map provided information distribution on the level of vulnerability to groundwater contamination in an area. The impact made considered in making regional decisions to create a sustainable develo...

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Main Authors: Nurfahasdi Meutia, Yofita Zega Agnes, Silalahi Agree Manganju Evannels, Singh Dally Raj, Babayev Aziz, Aitova Shakhlo
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/71/e3sconf_icecae2023_03019.pdf
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author Nurfahasdi Meutia
Yofita Zega Agnes
Silalahi Agree Manganju Evannels
Singh Dally Raj
Babayev Aziz
Aitova Shakhlo
author_facet Nurfahasdi Meutia
Yofita Zega Agnes
Silalahi Agree Manganju Evannels
Singh Dally Raj
Babayev Aziz
Aitova Shakhlo
author_sort Nurfahasdi Meutia
collection DOAJ
description Preventive management and protection of groundwater were to create a groundwater vulnerability map. This map provided information distribution on the level of vulnerability to groundwater contamination in an area. The impact made considered in making regional decisions to create a sustainable development framework. The DRASTIC method is an instrument for evaluating the vulnerability of groundwater pollution. The DRASTIC methods can use evaluate vulnerabilities of groundwater contamination which seven parameters: the depth of the groundwater table (D), rainPL (R), aquifer media (A), soil texture (S), topography (T), the influence of unsaturated zones (I), and hydraulic conductivity (C). The additional parameter is the use of land resulting from vulnerability. The parameter data will be poured into a map using ArcGIS and analyzed using the DRASTIC rating index. Eight attributes are included in the modified DRASTIC model, including hydraulic conductivity of the aquifer, topography, impact of the vadose zone, depth to water table, net recharge, aquifer media, soil media, and aquifer media. In a GIS system, these layers were combined using the Raster Calculator tool. The modelx was further validated using fifteen groundwater composite samples that were also gathered. Based on the results of the analysis, groundwater vulnerability in Terjun’s landfill from the five parameters, the value of the DRASCTIC index is 137 which indicates the vulnerability of groundwater is at medium/moderate. Aquifers next to floodplain areas are very sensitive, whereas those next to terrace areas are less vulnerable, according to the results. The model's findings confirm that the topography, soil media, and aquifer depth indicated the strongest correlations with vulnerability. A positive association between the vulnerability classes and the three groundwater quality measures electrical conductivity was also found during the validation of the final DRASTIC map. Although the levels of contamination at this time are below acceptable bounds, the possibility of additional contamination cannot be completely eliminated and is really rather plausible.
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spelling doaj.art-e25e9064ab9847d7b2281d03ea0946f02023-10-17T08:51:09ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014340301910.1051/e3sconf/202343403019e3sconf_icecae2023_03019Mapping groundwater vulnerability using drastic methodNurfahasdi Meutia0Yofita Zega Agnes1Silalahi Agree Manganju Evannels2Singh Dally Raj3Babayev Aziz4Aitova Shakhlo5Department of Environmental Engineering, Faculty of Engineering, Universitas Sumatera UtaraUndergaduate student of the Department of Environmental Engineering, Faculty of Engineering, Universitas Sumatera UtaraUndergaduate student of the Department of Environmental Engineering, Faculty of Engineering, Universitas Sumatera UtaraUndergaduate student of the Department of Environmental Engineering, Faculty of Engineering, Universitas Sumatera UtaraTIIAME National Research UniversityUrgench State UniversityPreventive management and protection of groundwater were to create a groundwater vulnerability map. This map provided information distribution on the level of vulnerability to groundwater contamination in an area. The impact made considered in making regional decisions to create a sustainable development framework. The DRASTIC method is an instrument for evaluating the vulnerability of groundwater pollution. The DRASTIC methods can use evaluate vulnerabilities of groundwater contamination which seven parameters: the depth of the groundwater table (D), rainPL (R), aquifer media (A), soil texture (S), topography (T), the influence of unsaturated zones (I), and hydraulic conductivity (C). The additional parameter is the use of land resulting from vulnerability. The parameter data will be poured into a map using ArcGIS and analyzed using the DRASTIC rating index. Eight attributes are included in the modified DRASTIC model, including hydraulic conductivity of the aquifer, topography, impact of the vadose zone, depth to water table, net recharge, aquifer media, soil media, and aquifer media. In a GIS system, these layers were combined using the Raster Calculator tool. The modelx was further validated using fifteen groundwater composite samples that were also gathered. Based on the results of the analysis, groundwater vulnerability in Terjun’s landfill from the five parameters, the value of the DRASCTIC index is 137 which indicates the vulnerability of groundwater is at medium/moderate. Aquifers next to floodplain areas are very sensitive, whereas those next to terrace areas are less vulnerable, according to the results. The model's findings confirm that the topography, soil media, and aquifer depth indicated the strongest correlations with vulnerability. A positive association between the vulnerability classes and the three groundwater quality measures electrical conductivity was also found during the validation of the final DRASTIC map. Although the levels of contamination at this time are below acceptable bounds, the possibility of additional contamination cannot be completely eliminated and is really rather plausible.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/71/e3sconf_icecae2023_03019.pdf
spellingShingle Nurfahasdi Meutia
Yofita Zega Agnes
Silalahi Agree Manganju Evannels
Singh Dally Raj
Babayev Aziz
Aitova Shakhlo
Mapping groundwater vulnerability using drastic method
E3S Web of Conferences
title Mapping groundwater vulnerability using drastic method
title_full Mapping groundwater vulnerability using drastic method
title_fullStr Mapping groundwater vulnerability using drastic method
title_full_unstemmed Mapping groundwater vulnerability using drastic method
title_short Mapping groundwater vulnerability using drastic method
title_sort mapping groundwater vulnerability using drastic method
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/71/e3sconf_icecae2023_03019.pdf
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AT silalahiagreemanganjuevannels mappinggroundwatervulnerabilityusingdrasticmethod
AT singhdallyraj mappinggroundwatervulnerabilityusingdrasticmethod
AT babayevaziz mappinggroundwatervulnerabilityusingdrasticmethod
AT aitovashakhlo mappinggroundwatervulnerabilityusingdrasticmethod