Ouyang Y, Nkedi-Kizza P, Wu Q T, Shinde D, Huang C H
Department of Water Resources, St. Johns River Water Management District, P.O. Box 1429, Palatka, FL 32178 1429, USA.
Water Res. 2006 Dec;40(20):3800-10. doi: 10.1016/j.watres.2006.08.030. Epub 2006 Oct 27.
Assessment of seasonal changes in surface water quality is an important aspect for evaluating temporal variations of river pollution due to natural or anthropogenic inputs of point and non-point sources. In this study, surface water quality data for 16 physical and chemical parameters collected from 22 monitoring stations in a river during the years from 1998 to 2001 were analyzed. The principal component analysis technique was employed to evaluate the seasonal correlations of water quality parameters, while the principal factor analysis technique was used to extract the parameters that are most important in assessing seasonal variations of river water quality. Analysis shows that a parameter that is most important in contributing to water quality variation for one season may not be important for another season except for DOC and electrical conductance, which were always the most important parameters in contributing to water quality variations for all four seasons.
评估地表水水质的季节性变化是评估由于点源和非点源的自然或人为输入导致的河流污染时间变化的一个重要方面。在本研究中,分析了1998年至2001年期间从一条河流的22个监测站收集的16个物理和化学参数的地表水水质数据。采用主成分分析技术评估水质参数的季节相关性,同时使用主因子分析技术提取在评估河流水质季节变化中最重要的参数。分析表明,除了溶解性有机碳(DOC)和电导率外,一个在一个季节中对水质变化贡献最大的参数在另一个季节可能并不重要,而DOC和电导率在所有四个季节中始终是对水质变化贡献最大的最重要参数。