Quantifying land use heterogeneity helps better understand how it influences biophysical systems.Land use area proportions have been used conventionally to predict water quality variables.Lacking an insight into the c...Quantifying land use heterogeneity helps better understand how it influences biophysical systems.Land use area proportions have been used conventionally to predict water quality variables.Lacking an insight into the combined effect of various spatial characteristics could lead to the statistical bias and confused understanding in previous studies.In this study,using spatial techniques and mathematical models,a diagnostic model was developed and applied for quantifying and incorporating three spatial components,namely,slope,distance to sampling spots,and arrangement.The upper catchment of Miyun Reservoir was studied as the test area.Total nitrogen,total phosphorus,and chemical oxygen demand of water samples from field measurements were used to characterize the surface water quality in 52 sub-watersheds.Using parameter calibrations and determinations,combined spatial characteristics were explored and detected.Adjusted land use proportions were calculated by spatial weights of discriminating the relative contribution of each location to water quality and used to build the integrated models.Compared with traditional methods only using area proportions,our model increased the explanatory power of land use and quantified the effects of spatial information on water quality.This can guide the optimization of land use configuration to control water eutrophication.展开更多
基金the National Basic Research Program of China(973 Program)[grant number 2015CB452702]National Natural Science Foundation of China[grant number 41371116].
文摘Quantifying land use heterogeneity helps better understand how it influences biophysical systems.Land use area proportions have been used conventionally to predict water quality variables.Lacking an insight into the combined effect of various spatial characteristics could lead to the statistical bias and confused understanding in previous studies.In this study,using spatial techniques and mathematical models,a diagnostic model was developed and applied for quantifying and incorporating three spatial components,namely,slope,distance to sampling spots,and arrangement.The upper catchment of Miyun Reservoir was studied as the test area.Total nitrogen,total phosphorus,and chemical oxygen demand of water samples from field measurements were used to characterize the surface water quality in 52 sub-watersheds.Using parameter calibrations and determinations,combined spatial characteristics were explored and detected.Adjusted land use proportions were calculated by spatial weights of discriminating the relative contribution of each location to water quality and used to build the integrated models.Compared with traditional methods only using area proportions,our model increased the explanatory power of land use and quantified the effects of spatial information on water quality.This can guide the optimization of land use configuration to control water eutrophication.
