Literature DB >> 21773864

Assessment of groundwater vulnerability in the Yinchuan Plain, Northwest China using OREADIC.

Hui Qian1, Peiyue Li, Ken W F Howard, Chao Yang, Xuedi Zhang.   

Abstract

Groundwater vulnerability assessments provide a measure of the sensitivity of groundwater quality to an imposed contaminant load and are globally recognized as an essential element of all aquifer management and protection plans. In this paper, the vulnerability of groundwaters underlying the Yinchuan Plain of Northwest China is determined using OREADIC, a GIS-based assessment tool that incorporates the key characteristics of the universally popular DRASTIC approach to vulnerability assessment but has been modified to consider important additional hydrogeological factors that are specific to the region. The results show that areas of high vulnerability are distributed mainly around Qingtongxia City, Wuzhong City, Lingwu City, and Yongning County and are associated with high rates of aquifer recharge, shallow depths to the water table, and highly permeable aquifer materials. The presence of elevated NO (3) (-) in the high vulnerability areas endorses the OREADIC approach. The vulnerability maps developed in this study have become valuable tools for environmental planning in the region and will be used for predictive management of the groundwater resource.

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Year:  2011        PMID: 21773864     DOI: 10.1007/s10661-011-2211-7

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  5 in total

1.  Anthropogenic pollution and variability of manganese in alluvial sediments of the Yellow River, Ningxia, northwest China.

Authors:  Peiyue Li; Hui Qian; Ken W F Howard; Jianhua Wu; Xinsheng Lyu
Journal:  Environ Monit Assess       Date:  2014-03       Impact factor: 2.513

2.  Assessment of groundwater vulnerability to contamination: a case study.

Authors:  Reshma R; Sindhu G
Journal:  Environ Monit Assess       Date:  2019-05-09       Impact factor: 2.513

3.  Spatial interpolation methods and geostatistics for mapping groundwater contamination in a coastal area.

Authors:  Vetrimurugan Elumalai; K Brindha; Bongani Sithole; Elango Lakshmanan
Journal:  Environ Sci Pollut Res Int       Date:  2017-03-21       Impact factor: 4.223

4.  Groundwater vulnerability assessment in agricultural areas using a modified DRASTIC model.

Authors:  Mahmood Sadat-Noori; Kumars Ebrahimi
Journal:  Environ Monit Assess       Date:  2015-12-09       Impact factor: 2.513

5.  Nitrogen contamination in groundwater in an agricultural region along the New Silk Road, northwest China: distribution and factors controlling its fate.

Authors:  Jie Chen; Hui Qian; Hao Wu
Journal:  Environ Sci Pollut Res Int       Date:  2017-03-29       Impact factor: 4.223

  5 in total

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