title: [Explore the spatial and temporal patterns of water pollution in the Yincungang canal of the Lake Taihu basin, China].
abstract: Two high-density snap-shot samplings were conducted along the Yincungang canal, one important tributary of the Lake Tai, in April (low flow period) and June (high flow period) of 2010. Geostatistical analysis based on the river network distance was used to analyze the spatial and temporal patterns of the pollutant concentrations along the canal with an emphasis on chemical oxygen demand (COD) and total nitrogen (TN). Study results have indicated: (1) COD and TN concentrations display distinctly different spatial and temporal patterns between the low and high flow periods. COD concentration in June is lower than that in April, while TN concentration has the contrary trend. (2) COD load is relatively constant during the period between the two monitoring periods. The spatial correlation structure of COD is exponential for both April and June, and the change of COD concentration is mainly influenced by hydrological conditions. (3) Nitrogen load from agriculture increased significantly during the period between the two monitoring periods. Large amount of chaotic fertilizing by individual farmers has led to the loss of the spatial correlation among the observed TN concentrations. Hence, changes of TN concentration in June are under the dual influence of agricultural fertilizing and hydrological conditions. In the view of the complex hydrological conditions and serious water pollution in the Lake Taihu region, geostatistical analysis is potentially a useful tool for studying the characteristics of pollutant distribution and making predictions in the region.
authors.affiliation: Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China. xiaoying@fudan.edu.cn
authors.forename: Xiao-Ying
authors.initials: XY
authors.lastname: Yang
authors.forename: Xing-Zhang
authors.initials: XZ
authors.lastname: Luo
authors.forename: Zheng
authors.initials: Z
authors.lastname: Zheng
authors.forename: Shu-Bo
authors.initials: SB
authors.lastname: Fang
mesh_terms: D057919:Biological Oxygen Demand Analysis / Q000706:statistics & numerical data*; D002681:China; D004784:Environmental Monitoring; D060106:Lakes / Q000737:chemistry*; D009584:Nitrogen / Q000032:analysis*; D045483:Rivers / Q000737:chemistry; D012621:Seasons; D014874:Water Pollutants, Chemical / Q000032:analysis*
chemical_list: D014874:Water Pollutants, Chemical; D009584:Nitrogen