...
首页> 外文期刊>Nordic Hydrology >Groundwater vulnerability assessment using GIS-based DRASTIC method in the irrigated and coastal region of Sindh province, Pakistan
【24h】

Groundwater vulnerability assessment using GIS-based DRASTIC method in the irrigated and coastal region of Sindh province, Pakistan

机译:巴基斯坦敦地河灌区灌溉与沿海地区的基于GIS的灾害方法的地下水脆弱方法

获取原文
获取原文并翻译 | 示例
           

摘要

This study aims to evaluate the vulnerability of shallow aquifer in irrigated and coastal regions of Sindh province, Pakistan by applying DRASTIC method in geographical information system (GIS) environment. Vulnerability index values ranging from 119 to 200 were categorized into three contamination risk zones. Results illustrated that 28.03% of the total area that was distributed in the upper northern and southernmost coastal area of the province was very highly vulnerable to contamination, 56.76% of the area was highly vulnerable, while the remaining 15.21% area was in medium vulnerable zone. Single and multi-parameter sensitivity analysis evaluated the relative importance of each DRASTIC parameter and illustrated that depth to water table and net recharge caused the highest variation in the vulnerability index. Two water quality indicators parameters, i.e., electrical conductivity (EC) and nitrate ion (NO3-) were used to validate the DRASTIC index. The spatial distribution map of both parameters showed a certain level of similarity with the vulnerability map and both parameters illustrated significant correlation with the DRASTIC vulnerability index (p 0.01). This signified that vulnerable zones are particularly more prone to EC and NO3- contamination. Findings of this study will assist local authorities in contamination prevention in the groundwater of the lower Indus Plain.
机译:本研究旨在通过在地理信息系统(GIS)环境中应用激烈的方法,评估浅含水层浅含水层浅含水层在Sindh省灌溉和沿海地区。漏洞指数范围从119到200的范围分为三个污染风险区域。结果表明,在全省上部北部和最南端沿海地区分布的总面积的28.03%非常容易受到污染,56.76%的地区非常脆弱,而其余的15.21%的面积是中等弱势区。单个和多参数灵敏度分析评估了每个剧烈参数的相对重要性,并说明了水表的深度和净充电导致漏洞指数的最高变化。两种水质指示剂参数,即导电性(EC)和硝酸根(NO 3-)用于验证剧烈指数。两个参数的空间分布图显示了与漏洞图的一定程度的相似性,并且两个参数都显示出与激烈漏洞指数的显着相关性(P <0.01)。这表示易受攻击的区域易于易受EC和NO3污染。本研究的调查结果将协助地方当局在较低的印度平原地下水中污染预防。

著录项

  • 来源
    《Nordic Hydrology》 |2019年第2期|319-338|共20页
  • 作者单位

    Guilin Univ Technol Coll Environm Sci & Engn Guilin 541004 Peoples R China;

    China Univ Geosci Wuhan Sch Environm Studies Lumo Lu 388 Wuhan 430074 Hubei Peoples R China;

    Guilin Univ Technol Coll Environm Sci & Engn Guilin 541004 Peoples R China;

    ENI ABT Dept Civil Engn Av Van Vollenhoven POB 242 Bamako Mali;

    Chinese Acad Sci Inst Geol & Geophys Beijing Peoples R China;

    Univ Eastern Finland Fac Forest Sci POB 111 FI-80101 Joensuu Finland;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    ArcGIS; DRASTIC; groundwater vulnerability; lower Indus Plain; sensitivity analysis;

    机译:ArcGIS;剧烈;地下水脆弱性;较低的印度平原;敏感性分析;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号