摘要
利用主成分分析的方法,对沂河水质监测数据进行了分析,并通过主成分空间分布双标图探讨了不同水质指标之间的关系.结果显示:温度(Temperature)、流量(Flow)、pH和电导率(EC)在同一个方向上,反映了它们之间可能存在相关性或受到相似的环境因素的影响;而高锰酸盐指数(CODMn)、化学需氧量(CODCr)、石油类(ois)、氟化物(F)和五日生化需氧量(BOD5)在一个方向上,表明它们可能受到相似的污染源或处理过程的影响;大肠菌群(FC)、溶解氧(DO)和硫酸盐(S)在一个方向上,反映了它们可能受到相似的生物或化学过程的影响.这些研究为进一步的水质分析和环境监测提供了重要线索,有助于深入理解不同水质指标之间的相互关系及其在水质评估中的共同特征和影响.通过对各环境因子和理化指标进行主成分分析,建立营养盐与各环境因子和理化指标主成分之间的回归方程,可以很好地反映营养盐与各环境因子和理化指标之间的关系.这些结果对于水质管理和环境保护具有重要的指导意义.
Abstract
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.
基金项目
山东省自然科学基金(ZR2021MD045)
大学生创新创业训练计划(X202310452540)
维普
万方数据