Deyong Yu, Peijun Shi, Yupeng Liu, Bin Xun

State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China.

 

Abstract: Urbanization increases impervious area, generates pollution and transforms the configuration, composition and context of land covers and thus has direct or indirect impacts on aquatic systems. Detecting land use-water quality relationships is of significance for both urban sustainable development and environmental risk management. We first selected suitable landscape metrics at landscape and class levels as well as productivity as land use indicators; second, we integrated ten water quality indicators into a comprehensive pollution index (CPI) that serves as the primary water quality indicator for measuring the effects of diffusive pollution in an urban area; finally, taking water quality indicators as dependent variables and land use indicators as independent variables, we detected land use-water quality relationships using both ordinary least squares (OLS) and geographically weighted regression (GWR) models. The main findings are (1) the CPI is a good water quality indicator for detecting land use-water quality relationships and the performance of the GWR model is superior to that of the OLS model and (2) landscape metrics have potential for predicting water quality; however, improving the productivity of natural vegetation is a more tangible and reliable way to promote water resources restoration than rearranging the configuration of land use types.

 

Keywords: Sustainable development; Urban planning; Watershed management; Ecological engineering; Landscape ecology; Geographically weighted regression.