An improved export coefficient model to estimate non-point source phosphorus pollution risks under complex precipitation and terrain conditions

作者：Cheng, Xian; Chen, Liding; Sun, Ranhao^*; Jing, Yongcai

来源：Environmental Science and Pollution Research, 2018, 25(21): 20946-20955.

DOI：10.1007/s11356-018-2191-z

• Improved export coefficient model
• Precipitation
• Terrain
• Luanhe River Basin

To control non-point source (NPS) pollution, it is important to estimate NPS pollution exports and identify sources of pollution. Precipitation and terrain have large impacts on the export and transport of NPS pollutants. We established an improved export coefficient model (IECM) to estimate the amount of agricultural and rural NPS total phosphorus (TP) exported from the Luanhe River Basin (LRB) in northern China. The TP concentrations of rivers from 35 selected catchments in the LRB were used to test the model's explanation capacity and accuracy. The simulation results showed that, in 2013, the average TP export was 57.20 t at the catchment scale. The mean TP export intensity in the LRB was 289.40 kg/km(2), which was much higher than those of other basins in China. In the LRB topographic regions, the TP export intensity was the highest in the south Yanshan Mountains and was followed by the plain area, the north Yanshan Mountains, and the Bashang Plateau. Among the three pollution categories, the contribution ratios to TP export were, from high to low, the rural population (59.44%), livestock husbandry (22.24%), and land-use types (18.32%). Among all ten pollution sources, the contribution ratios from the rural population (59.44%), pigs (14.40%), and arable land (10.52%) ranked as the top three sources. This study provides information that decision makers and planners can use to develop sustainable measures for the prevention and control of NPS pollution in semi-arid regions.

• 出版日期2018-7
• 单位中国科学院; 中国科学院大学; 城市和区域生态国家重点实验室