State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China.
State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
Environ Pollut. 2024 Mar 1;344:123221. doi: 10.1016/j.envpol.2023.123221. Epub 2024 Jan 14.
Diffuse pollution, including that in the lower and middle reaches of the Yangtze River, is the primary source of pollution in several agricultural watersheds globally. As the largest river basin in China, the Yangtze River Basin has suffered from total phosphorus (TP) pollution in the past decade owing to diffuse pollution and aquatic ecology destruction, especially in the midstream tributaries and mid-lower reaches of the lakes. However, the transport dynamics of diffuse pollutants, such as phosphorus (P) from land to water bodies have not been well evaluated, which is of great significance for quantifying nutrient loss and its impact on water bodies. In this study, diffuse pollution estimation with remote sensing (DPeRS) model coupled with Soil and Water Assessment Tools (SWAT) was utilized to simulate the transport dynamics of P, investigate the spatial heterogeneity and P sources in the Poyang Lake Basin. Additionally, the P transport mechanism from land to water and the migration process in water bodies were considered to investigate the impact of each loss unit on the water body and evaluate the load generated by diverse pollution types. The estimated diffuse TP loss was 6016 t P·yr, and the load to inflow rivers and to Poyang Lake were 11,619 and 9812 t P·yr, respectively. Gan River Basin (51.09%) contributed most TP to Poyang Lake among five inflow rivers, while waterfront area demonstrated the highest TP load per unit area with 0.057 t km·yr. Our study also identified P sources in the sub-basins and emphasized agricultural diffuse sources, especially planting, as the most significant factor contributing to TP pollution. Additionally, to improve the aquatic environment and water ecological conditions, further nutrient management should be applied using a comprehensive approach that encompasses the entire process, from source transportation to the water body.
面源污染,包括长江中下游地区的面源污染,是全球多个农业流域的主要污染源。作为中国最大的流域,长江流域在过去十年中由于面源污染和水生态破坏而遭受总磷(TP)污染,特别是在中游支流和中下游湖泊。然而,对于从陆地到水体的扩散污染物(如磷)的输运动态还没有得到很好的评估,这对于量化养分流失及其对水体的影响具有重要意义。本研究利用遥感(DPeRS)模型与土壤和水评估工具(SWAT)耦合,模拟了磷的输运动态,研究了鄱阳湖流域的空间异质性和磷源。此外,还考虑了磷从陆地到水体的输运机制以及水体中的迁移过程,以研究每个流失单元对水体的影响,并评估不同污染类型产生的负荷。估计的面源总磷流失量为 6016 t·yr,流入河流和鄱阳湖的负荷分别为 11619 和 9812 t·yr。在五个入湖河流中,赣江流域(51.09%)对鄱阳湖的 TP 贡献最大,而湖滨区单位面积的 TP 负荷最高,为 0.057 t·km·yr。本研究还确定了子流域内的磷源,并强调农业面源污染,特别是种植,是造成 TP 污染的最重要因素。此外,为了改善水生态环境和水生态条件,应采用综合方法,从源运输到水体,进一步进行养分管理。