Geospatial Data Assimilation and Mapping Groundwater Vulnerability in High Plains Aquifer Using DRASTIC Model

S. Datta, A. Ajaz
{"title":"Geospatial Data Assimilation and Mapping Groundwater Vulnerability in High Plains Aquifer Using DRASTIC Model","authors":"S. Datta, A. Ajaz","doi":"10.5455/FAA.53506","DOIUrl":null,"url":null,"abstract":"High Plains Aquifer is one of the most important aquifers in the United States, accounting for one-fourth of total annual freshwater withdrawal, and one-fifth of crop production of some major crops. But the area above this aquifer has not been extensively researched for determining the risk of groundwater pollution. Therefore, this study was undertaken to determine the groundwater pollution potential using the DRASTIC model in a Geographic Information System (GIS) environment. Despite the limited data availability, DRASTIC model proved effective in delineating areas of High Plains Aquifer susceptible to groundwater contamination. The results from the model indicated that large portions of southwestern Texas, central Kansas, eastern Colorado, eastern Wyoming, western and north-western Nebraska were highly vulnerable to groundwater pollution whereas Oklahoma had the lowest vulnerability.","PeriodicalId":53074,"journal":{"name":"Fundamental and Applied Agriculture","volume":"85 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fundamental and Applied Agriculture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5455/FAA.53506","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

High Plains Aquifer is one of the most important aquifers in the United States, accounting for one-fourth of total annual freshwater withdrawal, and one-fifth of crop production of some major crops. But the area above this aquifer has not been extensively researched for determining the risk of groundwater pollution. Therefore, this study was undertaken to determine the groundwater pollution potential using the DRASTIC model in a Geographic Information System (GIS) environment. Despite the limited data availability, DRASTIC model proved effective in delineating areas of High Plains Aquifer susceptible to groundwater contamination. The results from the model indicated that large portions of southwestern Texas, central Kansas, eastern Colorado, eastern Wyoming, western and north-western Nebraska were highly vulnerable to groundwater pollution whereas Oklahoma had the lowest vulnerability.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于DRASTIC模型的高平原含水层地下水脆弱性地理空间数据同化与制图
高平原含水层是美国最重要的含水层之一,占每年淡水提取总量的四分之一,占一些主要作物产量的五分之一。但这一含水层以上的地区还没有被广泛研究以确定地下水污染的风险。因此,本研究利用地理信息系统(GIS)环境下的DRASTIC模型来确定地下水污染潜力。尽管可用数据有限,但DRASTIC模型在划定高平原含水层易受地下水污染区域方面被证明是有效的。该模型的结果表明,德克萨斯州西南部、堪萨斯州中部、科罗拉多州东部、怀俄明州东部、内布拉斯加州西部和西北部的大部分地区极易受到地下水污染的影响,而俄克拉荷马州的脆弱性最低。
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 去求助
来源期刊
自引率
0.00%
发文量
15
审稿时长
12 weeks
期刊最新文献
Effect of foliar application of nitrogen and zinc on the performance of soybean Comparative performance of puddled and zero till non-puddled transplant boro rice under different weed management practices Genetic diversity based on Principal Component and cluster analysis for various characters in spring wheat genotypes under drought condition A comprehensive review of the production technology of Cannabis sativa L. with its current legal status and botanical features Biochar as organic fertilizer and interactive effect of compost tea alternative to mineral fertilization on geranium (Pelargonium graveolens L)
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1