Evaluation Of Temporal And Spatial Differences Of Water Environment In Liao River Basin

This cluster analysis and principal component analysis of multivariate statistical methods were used to evaluate temporal and spatial differences of water environment in Liao River Basin of Liaoning province in this paper. And multivariate linear regression analysis was used to study the relationship of the economic developing and Liao River Basin of Liaoning province water environment quality evolution.The monitoring data in 25 monitoring sites of major rivers including Liao River, Hun River, Prince Creek and Large Liao River from 2000 to 2009 were selected. With SPSS statistical software, the multivariate statistical analysis method was applied to evaluate water environment, reflecting different levels of water quality sampling sites and pollution. The results are good, Liao River Basin of Liaoning province contaminated areas dotted severe, moderate, and water clean polluted areas, Corresponding area is Hun River middle-lower, Liao River severe polluted areas, Prince Creek and Large Liao River moderate polluted areas, Hun River Prince Creek upstream water clean polluted areas, water pollution index by temporal and spatial variation of the Figure, fully can objectively reveal well the spatial and temporal differences water environment in the Liao River Basin of Liaoning province.During the month of the September 2009 to June 2009, according to the sixty-one sections of Liao River set the scene investigation and sample collection information. This cluster analysis method was used to evaluate spatial differences of water environment in Liao River in this paper. Liao River can be divided into five regions, and fourteen control unit. Sequence analysis method was used to analyze the influential algae biological index factors of spatial differences, Identified the significant influence species distribution factor. The results indicated that Liao River water pollution condition of the dominant factor of species distribution of algae pollution for influencing degree is DO>COD_Mn>BOD₅>COD_Cr>Ca²⁺ >pH >POC.Multivariate linear regression analysis was used to study the relationship of the GDP growth, gross industrial output, agricultural output, population change of Liao River Basin of Liaoning province and Liao River water environment quality evolution from 2000 to 2009. The results indicated that Liao River water environment problems and economic developing population growth, gross industrial output and agricultural output change are closely related. Water pollution mainly comes from agricultural non-point source pollution and industrial waste, Finally puts forward relevant suggestions.