UBRISA

View Item 
  •   Ubrisa Home
  • Theses and Dissertations
  • Faculty of Science Theses and Dissertations
  • Masters Dissertations
  • View Item
  •   Ubrisa Home
  • Theses and Dissertations
  • Faculty of Science Theses and Dissertations
  • Masters Dissertations
  • View Item
    • Login
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Intrinsic groundwater pollution vulnerability assessment of Masama east well field, Khurutshe area

    Thumbnail
    View/Open
    Kanaimba_Unpublished (MSc)_2019.pdf (3.199Mb)
    Date
    2019
    Author
    Kanaimba, Moshe Moses
    Publisher
    University of Botswana, www.ub.bw
    Link
    Unpublished
    Type
    Masters Thesis/Dissertation
    Metadata
    Show full item record
    Abstract
    An intrinsic groundwater pollution vulnerability assessment was conducted in Masama east well field, Botswana. The well field is located in close proximity to residential and agricultural land and might be exposed to the risk of groundwater pollution. The DRASTIC index model was applied to assess the groundwater pollution vulnerability of the study area. The technique combined a series of mathematical equations, physio-chemical properties of the study area and GIS to produce the standard groundwater pollution vulnerability map. The map was then calibrated using the sensitivity analysis to reduce the subjectivity associated with the DRASTIC index model and increase its accuracy. Additionally, the land use parameter was incorporated into the calibrated DRASTIC map to reflect the direct impact of human activities on the environment. These adjustments resulted in the production of the groundwater pollution vulnerability map of Masama east well field. This map was classified into four groundwater vulnerability classes labeled very low, low, moderate and high groundwater vulnerability. The very low, low, moderate and high groundwater vulnerability zones accounted for 39.0%, 19.9%, 27.5% and 13.6% of the total study area, respectively. Model validation was achieved using the spearman rank correlation coefficient and by visually comparing the nitrate distribution map of the study area and the land use map. The outcome of this study can be utilized as a guide by the land use planners, decision makers and the general public to divert activities that present greater risk of groundwater pollution to low vulnerability zones and preserve the water quality in the well field.
    URI
    http://hdl.handle.net/10311/2378
    Collections
    • Masters Dissertations [34]

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV
     

     

    Browse

    All of UBRISA > Communities & Collections > By Issue Date > Authors > Titles > SubjectsThis Collection > By Issue Date > Authors > Titles > Subjects

    My Account

    > Login > Register

    Statistics

    > Most Popular Items > Statistics by Country > Most Popular Authors