Multivariate statistics: An approach for Water quality assessment. Multivariate statistics and Water quality

      Аннотация: This book investigates the water pollution due to Water-soluble chemical waste by multivariate statistical analysis. Also explains the different statistical methods for water quality assessment, including latest concepts and developments in the field with global and user-friendly approach. This features a systematic introduction to the types of water resources, contamination due to waste, origin of water pollutants, their effects on the environment and methods available to measure them. It also suggests statistical principles for controlling and monitoring of pollution-causing chemical waste in reference to highly populated city. Statistical Model capable to be formulated for estimating the location wise pollution load generation and pollution level forecasting and provide as a decision support system for better management of water resources and control of water pollution. The overall variation in the chemical parameters has been demonstrated in form of a seasonal assessment for different samples. Results were given by Complete statistical evaluation containing descriptive statistics, Correlation matrix, Principal Component Analysis, Factor analysis and Cluster analysis.

Ключевые слова: water quality, regression analysis, Multivariate Statistics