Water quality analysis of Godavari river basin using multivariate analysis techniques

Area of Science:

• Environmental Science
• Water Resource Management
• Statistical Analysis

Background:

• The Godavari River basin's water quality is crucial for its ecosystem and human use.
• Understanding spatial variations in water quality is essential for effective management.
• Previous assessments may not have fully utilized advanced statistical techniques for complex datasets.

Purpose of the Study:

• To evaluate spatial variations in water quality within the Godavari River basin.
• To interpret a large, complex dataset using multivariate statistical techniques.
• To identify key parameters influencing water quality and classify pollution levels.

Main Methods:

• Collected water quality data from 78 sites over three years (2007-2009).
• Applied multivariate statistical techniques: Cluster Analysis (CA), Principal Component Analysis (PCA), and Discriminant Analysis (DA).
• Calculated Water Quality Indices (WQI) using parameters like pH, Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD), and Fecal Coliform (FC).

Main Results:

• Water Quality Indices indicated medium to good, good to excellent, and bad conditions across sites.
• Cluster Analysis identified three distinct groups of sites: cleaner, slightly polluted, and moderately polluted.
• Principal Component Analysis extracted three latent factors influencing water quality.
• Discriminant Analysis determined that pH and BOD were sufficient for spatial variation analysis, correctly classifying 83.3% of sites.

Conclusions:

• Multivariate statistical methods effectively identified spatial variations and pollution levels in the Godavari River basin.
• pH and BOD are significant indicators for assessing water quality and spatial variations.
• The study provides a robust framework for water quality assessment and management in large river systems.