Assessing Water Quality by Statistical Methods

Bayesian Methods for Assessing Water Quality

This work presents the development of Bayesian techniques for the assessment of groundwater quality. Its primary aim is to develop a predictive model and a computer system to assess and predict the impact of pollutants on the water column. The process of the analysis begins by postulating a model in light of all available knowledge taken from relevant phenomenon. The previous knowledge as repre...

Land use impacts on surface water quality by statistical approaches

Surface waters are the most important economic resource for humans which provide water for agricultural, industrial and anthropogenic activities. Surface water quality plays vital role in protecting aquatic ecosystems. Unplanned urbanization, intense agricultural activities and deforestation are positively associated with carbon, nitrogen and phosphorous related water quality parameters. Multip...

Statistical methods for assessing agreement

Identification of mangrove water quality by multivariate statistical analysis methods in Pondicherry coast, India.

Different multivariate statistical analysis such as, cluster analysis, principal component analysis, and multidimensional scale plot were employed to evaluate the trophic status of water quality for four monitoring stations. The present study was carried out to determine the physicochemical parameters of water and sediment characteristics of Pondicherry mangroves-southeast coast of India, durin...

Voronoi Methods for Assessing Statistical Dependence

In this work, we leverage the intuitive geometry of the Voronoi diagram to develop a new class of methods for quantifying and testing for statistical dependence between real-valued random variables. The contributions of this work are threefold: First, we introduce the utility of probability integral transforms of the datapoints to produce Voronoi diagrams which exhibit desirable properties prov...