TITLE:
Detection and Mapping of Water Quality Variation in the Godavari River Using Water Quality Index, Clustering and GIS Techniques
AUTHORS:
Indrani Gupta, Awkash Kumar, Chandrakant Singh, Rakesh Kumar
KEYWORDS:
GIS, Water Quality Index, Cluster Analysis, Discriminant Analysis
JOURNAL NAME:
Journal of Geographic Information System,
Vol.7 No.2,
March
3,
2015
ABSTRACT: The objective of this
research is to develop a tool for planning and managing the water quality of
River Godavari. This is achieved by classifying the pollution levels of
Godavari River into several categories using water quality index and a
clustering approach that ensure simple but accurate information about the
pollution levels and water characteristics at any point in Godavari River in
Maharashtra. The derived water quality indices and clusters were then
visualized by using a Geographical Information System to draw thematic maps of
Godavari River, thus making GIS as a decision support system. The obtained maps
may assist the decision makers in managing and controlling pollution in the
Godavari River. This also provides an effective overview of those spots in the
Godavari River where intensified monitoring activities are required.
Consequently, the obtained results make a major contribution to the assessment
of the State’s water quality monitoring network. Three significant groups (less
polluted, moderately and highly polluted sites) were detected by Cluster
Analysis method. The results of Discriminant Analysis revealed that five
parametersi.e.pH, Dissolved Oxygen (DO), Faecal
Coliform (FC), Total Coliform (TC) and Ammonical Nitrogen (NH3-N)
were necessary for analysis in spatial variation. Using discriminant function
developed in the analysis, 100% of the original sites were correctly
classified.