Multivariate analysis of groundwater resources in Ganga-Yamuna basin (India).

Groundwater quality data on physico-chemical, bacteriological and heavy metal concentrations in three cities (Faridabad, Allahabad and Varanasi) in Ganga-Yamuna basin was subjected to multivariate analysis (MVA) using SPSS. The factors extracted showed high loading (> 0.3) of various parameters, such as Cl, conductivity, TDS, hardness, Na, Mg, and SO4, indicating contamination due to leaching of pollutants.

Evaluation of monitoring sites for protection of groundwater in an urban area.

Monitoring for seasonal variation and changes in groundwater is a costly project. Assessing groundwater at selected monitoring sites and for site-specific indicators may reduce the cost of subsequent monitoring. In this context, the present study developed a method to assess groundwater using a combination of multivariate and univariate statistical techniques to identify critical sites of contamination.

Dynamic weighting system for water quality index.

Water quality standards are developed world over by National and International agencies for pollution control decision-making. Use-based water quality classification criteria and Water Quality Indices (WQIs) also play important role in assessment of water resources for their suitability with reference various uses. Formulation of value function curves and weights assigned to parameters in WQIs are often defined by local water experts and hence WQIs are known to inherit subjectivity.