The water quality monitoring data of the Yi River were analyzed using the principal component analysis method,and the relationship between different water quality indicators was explored through a biplot of principal component space distribution.The results showed that temperature,flow,pH,and electrical conductivity(EC)were aligned in the same direction,reflecting potential correlations or similar environmental influences among them.Additionally,chemical oxygen demand using potassium permanganate(CODMn),chemical oxygen demand using dichromate(CODCr),petroleum hydrocarbons(ois),fluoride(F),and 5-day biochemical oxygen demand(BOD5)were aligned in one direction,indicating potential similar pollution sources or treatment processes.Furthermore,fecal coliforms(FC),dissolved oxygen(DO),and sulfates(S)were aligned in one direction,potentially reflecting similar biological or chemical processes influencing them.These findings provide important clues for further water quality analysis and environmental monitoring,aiding in a deeper understanding of the mutual relationships among different water quality indicators and their common characteristics and influences in water quality assessment.By conducting principal component analysis on various environmental factors and physicochemical indicators,regression equations can be established between nutrients and the principal components of various environmental factors and physicochemical indicators,to reflect the relationship between nutrients and various environmental factors and physicochemical indicators effectively.These results are of significant guiding significance for water quality management and environmental protection.
万方数据
维普
