Evaluation of groundwater vulnerability to pollution using DRASTIC, composite DRASTIC, and nitrate vulnerability models

IF 1.3 Q4 ENVIRONMENTAL SCIENCES
M. Pourkhosravani, F. Jamshidi, N. Sayari
{"title":"Evaluation of groundwater vulnerability to pollution using DRASTIC, composite DRASTIC, and nitrate vulnerability models","authors":"M. Pourkhosravani, F. Jamshidi, N. Sayari","doi":"10.34172/EHEM.2021.16","DOIUrl":null,"url":null,"abstract":"Background: Groundwater protection against pollution is a very important issue. Groundwater vulnerability maps are useful tools for protecting aquifers and assessing the potential for contamination. Therefore, the purpose of this study was to prepare vulnerability maps and perform sensitivity analysis to identify the most influential factors in the vulnerability of the studied aquifer. Methods: In this study, groundwater vulnerability to pollution was evaluated using DRASTIC, composite DRASTIC, and nitrate vulnerability (NV) models. Drastic is an index for the systematic assessment of potential groundwater pollution. In this method, the drastic index was calculated from the total weight and rank of the factors. For this purpose, first the factors affecting the pollution transfer, were weighted, ranked, and merged using GIS software. Then, using the overlapping techniques and after applying the necessary weight coefficients on each layer, a map of the vulnerability area of the study aquifer was prepared. Results: It was revealed that there is a significant linear relationship between all three models with the distribution of nitrate concentration. Accordingly, it was the most efficient NV model, followed by the composite DRASTIC (CD) and DRASTIC models, respectively. Also, in the studied aquifer, the DRASTIC index was between 147 and 136, the combined DRASTIC index was between 70 and 190, and the nitrate index was between 13 and 132. Conclusion: Vulnerability assessment of the studied aquifer using DRASTIC, and combined DRASTIC, and NV indices shows that, according to the DRASTIC index, 69.7% of the studied aquifer was in the medium vulnerability class. Also, according to the combined DRASTIC index, the largest area (53.62%) has low vulnerability and 31.56% has moderate vulnerability. But according to the nitrate index, 77.16% of the aquifers had very low vulnerability.","PeriodicalId":51877,"journal":{"name":"Environmental Health Engineering and Management Journal","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2021-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Health Engineering and Management Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34172/EHEM.2021.16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 1

Abstract

Background: Groundwater protection against pollution is a very important issue. Groundwater vulnerability maps are useful tools for protecting aquifers and assessing the potential for contamination. Therefore, the purpose of this study was to prepare vulnerability maps and perform sensitivity analysis to identify the most influential factors in the vulnerability of the studied aquifer. Methods: In this study, groundwater vulnerability to pollution was evaluated using DRASTIC, composite DRASTIC, and nitrate vulnerability (NV) models. Drastic is an index for the systematic assessment of potential groundwater pollution. In this method, the drastic index was calculated from the total weight and rank of the factors. For this purpose, first the factors affecting the pollution transfer, were weighted, ranked, and merged using GIS software. Then, using the overlapping techniques and after applying the necessary weight coefficients on each layer, a map of the vulnerability area of the study aquifer was prepared. Results: It was revealed that there is a significant linear relationship between all three models with the distribution of nitrate concentration. Accordingly, it was the most efficient NV model, followed by the composite DRASTIC (CD) and DRASTIC models, respectively. Also, in the studied aquifer, the DRASTIC index was between 147 and 136, the combined DRASTIC index was between 70 and 190, and the nitrate index was between 13 and 132. Conclusion: Vulnerability assessment of the studied aquifer using DRASTIC, and combined DRASTIC, and NV indices shows that, according to the DRASTIC index, 69.7% of the studied aquifer was in the medium vulnerability class. Also, according to the combined DRASTIC index, the largest area (53.62%) has low vulnerability and 31.56% has moderate vulnerability. But according to the nitrate index, 77.16% of the aquifers had very low vulnerability.
基于DRASTIC、复合DRASTIC和硝酸盐脆弱性模型的地下水污染脆弱性评价
背景:保护地下水免受污染是一个非常重要的问题。地下水脆弱性地图是保护含水层和评估潜在污染的有用工具。因此,本研究的目的是编制脆弱性地图并进行敏感性分析,以确定影响所研究含水层脆弱性的最重要因素。方法:在本研究中,使用DRASTIC、复合DRASTIC和硝酸盐脆弱性(NV)模型评估地下水对污染的脆弱性。Drastic是一个系统评估潜在地下水污染的指标。在该方法中,根据因素的总权重和排序来计算剧烈指数。为此,首先利用GIS软件对影响污染转移的因素进行加权、排序和合并。然后,使用重叠技术,在对每一层应用必要的权重系数后,绘制了研究含水层的脆弱性区域图。结果:三个模型均与硝酸盐浓度分布呈显著的线性关系。因此,它是最有效的NV模型,其次分别是复合DRASTIC(CD)和DRASTIC模型。此外,在所研究的含水层中,DRASTIC指数在147至136之间,综合DRASTIC指标在70至190之间,硝酸盐指数在13至132之间。结论:使用DRASTIC、DRASTIC和NV组合指数对所研究的含水层进行脆弱性评估表明,根据DRASTIC指数,69.7%的所研究含水层属于中等脆弱性类别。此外,根据综合DRASTIC指数,最大的地区(53.62%)具有低脆弱性,31.56%具有中等脆弱性。但根据硝酸盐指数,77.16%的含水层的脆弱性非常低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.40
自引率
37.50%
发文量
17
审稿时长
12 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信