Cooperative identification for critical periods and critical source areas of nonpoint source pollution in a typical watershed in China

• Published in: Environmental science and pollution research international Vol. 27; no. 10; pp. 10472 - 10483
• Main Authors: Ruan, Shuhe, Zhuang, Yanhua, Hong, Song, Zhang, Liang, Wang, Zhen, Tang, Xianqiang, Wen, Weijia
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2020; Springer Nature B.V
• Subjects: Agricultural land; Aquatic Pollution; Atmospheric Protection/Air Quality Control/Air Pollution; Canyons; Computer simulation; Earth and Environmental Science; Ecotoxicology; Environment; Environmental Chemistry; Environmental Health; Environmental science; Hydrology; Load distribution; Nonpoint source pollution; Phosphorus; Pollution control; Pollution sources; Research Article; River basins; Rivers; Upstream; Waste Water Technology; Water Management; Water Pollution Control; Watersheds; Critical periods (CPs); Load-area curve; Nonpoint source (NPS) pollution; Critical source areas (CSAs); Hydrological Simulation Program-Fortran (HSPF); Load-time curve
• ISSN: 0944-1344; 1614-7499
• DOI: 10.1007/s11356-020-07630-w

Critical periods (CPs) and critical source areas (CSAs) refer to the high-risk periods and areas of nonpoint source (NPS) pollution in a watershed, respectively, and they play a significant role in NPS pollution control. The upstream Daning River Basin is a typical watershed in the Three Gorges Reservoir area. In this study, a Hydrological Simulation Program-Fortran (HSPF) model was used to simulate phosphorus loss in the upstream Daning River Basin. Co-analysis of critical periods and critical source areas (CACC) is a quantitative collaborative analysis method for the identification of CSAs in CPs, and it was used to classify the periods and areas of NPS pollution as CPs, sub-CPs, non-CPs, CSAs, and non-CSAs. The CPs occurred in months 5–7 and accounted for 53.7% of the total phosphorus (TP) loads, and the sub-CPs occurred in months 1, 3, 4, and 8 and accounted for 29.2% of the TP loads. In CSAs, 49.4% of the TP loads occurred in 26.8% of the basin. Furthermore, we proposed the following multilevel priority control measure for NPS pollution in the upstream Daning River Basin: CSAs in CPs (with load-area rate of 1.4), CSAs in sub-CPs (0.7), CSAs in non-CPs (0.4), non-CSAs in CPs (0.3), non-CSAs in sub-CPs (0.2), and non-CSAs in non-CPs (0.1). CSAs in CPs accounted for 25.8% of the TP loads from 19.0% of the areas in only 3 months while 49.4% of the TP loads from similar areas over an entire year. These findings indicated that the CSAs in CPs located in farmland along the Daning, Dongxi, and Houxi Rivers should be prioritized for pollution management measures.