Chemistry

Permanent URI for this collectionhttp://197.211.34.35:4000/handle/123456789/192

Chemistry

Browse

Start date: 2014End date: 2016

Search Results

Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    Receptor Modeling Application on Surface Water Quality and Source Apportionment
    (2016-02-05) Animashaun, Iyanda Murtala; Ahaneku, Isiguzo Edwin; Busari, Musa Bola; Bisiriyu, Muhammad Taoheed
    There is a need for regular monitoring of river water quality to determine specific pollutants in order to aid amelioration schemes. In this study, Principal Component Analysis (PCA) was applied to eighteen water quality parameters; pH, conductivity, dissolved oxygen(DO), turbidity, temperature, total dissolved solids (TDS), total solids (TS), total hardness (TH), biochemical oxygen demand (BOD), carbon dioxide (CO2), ammonia (NH3), nitrate (NO3-), chloride (Cl-), lead (Pb), iron (Fe), chromium (Cr), copper (Cu) and manganese (Mn) to identify major sources of water pollution of river Asa. The generated Principal Components (PCs) were used as independent variables and the water quality index (WQI) as the dependent variable to predict the contribution of each of the sources using the multiple linear regression model (MLR). The PCs results showed that the sources of pollution are storm water runoff, industrial effluent, erosion and municipal waste, while MLR identified storm water runoff (0.786) and industrial effluent (0.241) as the respective major contributors of pollution. The study showed that the PC-MLR model gives a good prediction (R2=0.8) for the water quality index.
  • No Thumbnail Available
    Item
    Arsenic level determination in selected well water from Sokoto state, Nigeria
    (Elixir International Journal, 2014-10-23) Galadima, A; Bisiriyu, M.T
    Twenty samples of domestic water sourced from different underground wells in the Gidan Dare and Gidan Igwai areas of Sokoto were collected and analyzed in the laboratory. The pH and the electrical conductivity (EC) of the water samples were also determined. The mean results obtained from the analyses were pH (7.68, 6.72) and electrical conductivities (1061µs/cm, 1057µs/cm) for Gidan Dare and Gidan Igwai, respectively. The results also showed mean arsenic concentrations of 0.110mg/L and 0.217mg/L for Gidan Dare and Gidan Igwai water samples, respectively, which are above the World Health Organization (WHO) drinking water guidelines. Wells in Gidan Dare and Gidan Igwai were found to be contaminated with an abnormal concentration of arsenic, high enough to cause serious adverse health effects to its consumers. The high arsenic concentrations could be attributed to both natural and anthropogenic activities such as erosion, underground weathering, toxic chemicals, improper waste and sewage disposal waste from industries, agricultural activities and vehicular emissions.