Relating Watershed Characteristics to Non-point Source Pollution in Miyun Reservoir Watershed Using Principal Components Analysis(PCA)

摘要：

The watershed Landscape characteristics are important variables that influence surface water quality. Freshwater research and management efforts could be greatly enhanced by a better understanding the relationship between these variables and surface water quality. The major focus of this paper involved modeling relationships between watershed characteristics variables and water quality indicators. The Miyun reservoir watershed was the selected study site. Statistical analyses were performed to quantify the relationship between landscape metrics, hydrologic and surface water quality. PCA eliminated cross-correlations between variates and reduced the 13 input variables to 5 components that accounted for >92% of variance. TN, NO3 -N, NO2 -N and NH4+-N coefficient of variation were predicted with PCA regression. Results showed that landscape characteristics in the study watershed could account for as much as 60% of the variation of water quality indicators.

作者: OU Yang WANG Xiaoyan LI Mingtao

作者单位: College of Resources, Environment & Tourism,Capital Normal University,Beijing, China

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）