Landscape Predictors of River Water Quality in Xitiaoxi basin, China
Xitiaoxi is one of the most important watershed in the Taihu Basin of China. The dataset was obtained during the period 2003-2007 from the Environmental Protection Agency of ANJI County, consisted of five physicochemical variables at 20 sampling sites in the Xitiaoxi basin. Landscape characterized by surficial geology, land-use pattern and four selected landscape metrics including Number of Patches (NP), Edge Density (ED), Contagion (CONT), Shannon‘s Diversity Index (SHDI) were obtained, using FRAGSTATS tool. Spearman correlation analysis, stepwise multiple regression and redundancy analysis (RDA) were used to determine whether there was a correlation between water quality and landscape. Catchment and 200m buffer zones influence on water quality over two time periods (dry season and wet season) were compared. Some conclusions of this paper were drawn as follows: (1) Water quality is associated with the land use, surficial geology and landscape configuration. In general, urban was negative with water quality, while forest and slope were positive with water quality. Farmland, ED, SHDI were negatively and CONT was positively related to water quality in catchment. But in buffer zone, farmland, ED, SHDI and CONT didn‘t show obvious relationship with water quality. (2) In general, the 200m buffer zone landscape characteristics appeared to have greater influence on water than catchment. The water quality was much better explained in wet season than in dry season. (3) The water quality varied greatly in space and time. NH4+-N varied spatially and seasonally. DO varied significantly only with season, while BOD5 showed considerable spatial variability only among the wet season. CODMn and TP varied significantly among catchments but only had slightly significant variability during the seasons. This study suggests that riparian buffer played a crucial role in water quality management, especially the non-point source pollution control in the Xitiaoxi watershed.
landscape pattern water quality Spearman correlation analysis stepwise multiple regression redundancy analysis Xitiaoxi basin
Huihua Lv Longfei Han Youpeng Xu
School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, Jiangsu, China;School School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, Jiangsu, China School of Environmental Science and Engineering, Yancheng Institute of Technology, Yancheng, Jiangsu
国际会议
The 3rd Biennial ISRS Symposium Achieving Healthy and Viable Rivers (ISRS)第3届国际河流大会
北京
英文
380-389
2013-08-05（万方平台首次上网日期，不代表论文的发表时间）