Influential factors detection for surface water quality with geographical detectors in China

摘要: Surface water quality is a matter of serious concern in China. This study quantitatively analyzes the spatial–temporal characteristics surface among 100 monitoring stations China during 2015. A geographical detector was used to detect influential annual and seasonal factors. primarily controlled by content nutrient pollutants organic pollutants. Natural factors (precipitation, temperature, soil erosion, terrain) anthropogenic [land use type, population density, per capita gross domestic product (GDP-per-capita)] were selected as proxies be tested for their explanatory power quality. Results indicated that top three influencing mean terrain, precipitation, which 0.82, 0.35, 0.24, respectively. The interactive density terrain 0.88 precipitation 0.87, both exhibiting enhanced interaction relationships. basin, 0.46, 0.29, 0.27, basin 0.80 demonstrating nonlinear relationship. For changes, affected agricultural runoff due farming. revealed influenced two times more than natural