Risk assessment of groundwater pollution with a new methodological framework: application of Dempster–Shafer theory and GIS
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  • 作者:Aminreza Neshat ; Biswajeet Pradhan
  • 关键词:Dempster–Shafer theory ; GIS ; Nitrate ; Risk assessment ; Hydrogeological parameters
  • 刊名:Natural Hazards
  • 出版年:2015
  • 出版时间:September 2015
  • 年:2015
  • 卷:78
  • 期:3
  • 页码:1565-1585
  • 全文大小:3,963 KB
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  • 作者单位:Aminreza Neshat (1)
    Biswajeet Pradhan (1)

    1. Department of Civil Engineering, Faculty of Engineering, Geospatial Information Science Research Center (GISRC), University Putra Malaysia, 43400, Serdang, Selangor, Malaysia
  • 刊物类别:Earth and Environmental Science
  • 刊物主题:Earth sciences
    Hydrogeology
    Geophysics and Geodesy
    Geotechnical Engineering
    Civil Engineering
    Environmental Management
  • 出版者:Springer Netherlands
  • ISSN:1573-0840
文摘
Managing natural groundwater resources is challenged by nitrate pollution resulting from agricultural activities. This issue is emerging as an important environmental concern that needs to be addressed through effective groundwater management. Groundwater assessment is an important aspect of groundwater management, particularly in arid and semi-arid regions. This study focused on the Kerman Plain, which is exposed to intensive agricultural activities and land exploitation that result in intense land pollution. The effects of nitrate pollution may be controlled by applying specific measures. Dempster–Shafer theory (DST) was applied in this study to develop a new methodology for assessing pollution risk. Applying this theory as a pioneering approach to assessing groundwater pollution risk is the novel component of this research. This approach provides a major advantage by dealing with varying levels of precision related to information. The spatial association between DRASTIC parameters including D (depth of water), R (net recharge), A (aquifer media), S (soil media), T (topography), I (impact of vadose zone) and C (hydraulic conductivity) and underground nitrate occurrence was evaluated by applying bivariate DST to assign mass functions. Dempster’s rule of combination using GIS was then applied to determine a series of combined mass functions for multiple hydrogeological data layers. The uncertainty of system responses was directly addressed by the proposed methodology. Finally, the modified DRASTIC map with the highest validity and accuracy was selected and combined with the damage map. The comparison between nitrate distribution and vulnerability and the risk maps exhibit high similarity between different vulnerability degrees and nitrate concentrations. Long-term planning of preventive measures and associated developments can be aided by the regions with low and very low risks located in the northeast, northwest, and central regions.

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