GROUNDWATER QUALITY ASSESSMENT AROUND IGBATORO DUMP YARD USING GEOSPATIAL TECHNOLOGY

Authors

  • Okonofua Ehizonomhen Solomon Department of Geomatics, University of Benin, Benin City Author
  • Uwadia Nicholas Omugbo ICT/Planning Department, National Center for Energy and Environment, University of Benin Author
  • Akpejiori Juliet Department of Geomatics, University of Benin, Benin City Author

Keywords:

Geospatial Information Technology, Water Quality Index, Pollution, Treatment

Abstract

This study evaluated the degree of groundwater pollution near the dump yard at Igbatoro, Ondo State. The entire study area was digitized and georeferenced in order to produce pollution maps from results obtained. Forty-five (45) water samples were obtained from fifteen (15) different locations at distances ranging from 50 m to 150 m around the refuge dump. The coordinate of the sample collection points were acquired using handheld GPS. Samples recovered were taken to the laboratory in an air tight plastic container where the physcio-chemical characteristics and other parameters needed for the computation of Water Quality Index (WQI) was calculated. Some parameters evaluated includes but not limited to the followings: dissolve oxygen (DO), total suspended solid (TSS), pH, total dissolved solid (TDS), turbidity, concentration of nitrate and nitrite, chloride, phosphate, total coliform count, and heavy metals including iron, lead, copper, cadmium, and zinc. Results obtained were compared with WHO standards for drinking water and was also used for calculating WQI for the study area. The result showed that WQI in the area ranged from 41.394 – 59.515 (50 m), 58.840 – 66.556 (100 m) and 71.111 – 85.384 (150 m). The water quality range from bad (50 m) to good (150 m) i.e. the quality of the water improved as the distance away from the dump yard increased. Other parameters investigated also had values higher than the permissible limits recommended by WHO. 

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Published

31-03-2019

How to Cite

GROUNDWATER QUALITY ASSESSMENT AROUND IGBATORO DUMP YARD USING GEOSPATIAL TECHNOLOGY. (2019). FULafia Journal of Science and Technology , 5(1), 48-54. https://lafiascijournals.org.ng/index.php/fjst/article/view/212

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