Tan Shao-Jun, Liu Yang, Zhu Xiao-Jie, Liu He, Shao Jing-An, Deng Hua
College of Resource and Environment, Southwest University, Chongqing 400700, China.
College of Geography and Tourism, Chongqing Normal University, Chongqing 401331, China.
Huan Jing Ke Xue. 2022 Jun 8;43(6):3128-3139. doi: 10.13227/j.hjkx.202108130.
Research on the pattern and mechanism of agricultural non-point source (AGNPS) pollution in rural areas is of great significance to the governance of the regional ecological environment. This study took the plain and hilly area of the upper Yangtze River as the research area, relied on multivariate data, and used a pollutant measurement method based on spatial distance correction, and Kriging interpolation and logistic regression methods (LR) were used to study the emission pattern and impact mechanism of AGNPS pollutants. The results showed that the total emissions of COD, BOD, NH-N, TN, and TP increased by 15.46×10, 25.66×10, 3.49×10, 1.26×10, and 0.38×10 t, respectively, and the emissions of these five pollutants had strong spatial regularity from 2005 to 2015. The Chengdu Plain, the hills in central Sichuan, and the parallel ridge valley farming areas in eastern Sichuan were the high-value areas, whereas urban areas and hinterland of the Three Gorges Reservoir (TGRA) were low-value areas. The risk levels of COD, BOD, and NH-N increased; TN pollution was more serious; and the emission risk level was gradually increasing. The emission risk of TP was high and had a tendency to continue to deteriorate. The overall risk level was in a spatial pattern of "high in the middle and low in the surrounding area," with extremely high and second-highest risk levels in a mosaic distribution. The Chengdu Plain and the Parallel Ridge and Valley areas in eastern Sichuan were high-risk clusters. The main driving factors of non-point source pollution from 2005 to 2010 were grain output, livestock and poultry production, and the number of rural populations, which were categorized as "production-driven" GDP and annual average precipitation were the main driving factors, which were categorized as "production and life synergy-driven." These results can provide a basis for analyzing the driving mechanism and prevention and control of NPSP in the hilly area of the upper Yangtze River.
