Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education, College of Environment, Hohai University, Nanjing 210098, China; College of Environment, Hohai University, Nanjing 210098, China.
Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education, College of Environment, Hohai University, Nanjing 210098, China; College of Environment, Hohai University, Nanjing 210098, China.
Water Res. 2023 Jul 15;240:120092. doi: 10.1016/j.watres.2023.120092. Epub 2023 May 17.
Comprehension of the spatial and temporal characteristics of non-point source (NPS) pollution risk in watersheds is essential for NPS pollution research and scientific management. Although the concept of water functional zones (WFZ) has been considered in the NPS pollution risk assessment process. However, no comprehensive study of the NPS pollution risk has been conducted to effectively protect water quality in watersheds with different water environment capacity. Therefore, this study proposes a new NPS pollution risk assessment method that integrates water functional zoning, receiving water body environmental capacity, and space-time distribution of pollution load for quantifying the impact of pollution discharge from sub-catchment on nearby water body quality. Based on the NPS nutrient loss process modeled by the Soil and Water Assessment Tool (SWAT), this method was used to assess the NPS pollution risk in the Le 'an River Watershed at annual and monthly scales. The results showed that the NPS pollution risk is characterized by seasonal and spatial variability and is influenced clearly by the water environment capacity. High NPS pollution loads are not necessarily high pollution risks. Conversely, a low NPS nutrient pollution load does not represent a low regional risk sensitivity. In addition, NPS risk assessment based on the water environment capacity could also distinguish the differences in risk levels that were masked by similar NPS pollutant loss and the same water function zoning to achieve accurate control of NPS pollution management in watersheds.
理解流域非点源(NPS)污染风险的时空特征对于 NPS 污染研究和科学管理至关重要。尽管在 NPS 污染风险评估过程中已经考虑了水功能区(WFZ)的概念。然而,对于具有不同水环境容量的流域,尚未进行全面的 NPS 污染风险研究,以有效保护水质。因此,本研究提出了一种新的 NPS 污染风险评估方法,该方法结合了水功能区划、受纳水体环境容量和污染负荷的时空分布,用于量化子流域污染排放对附近水体水质的影响。基于土壤和水评估工具(SWAT)模拟的 NPS 养分流失过程,该方法用于评估乐安河流域的 NPS 污染风险,评估尺度为年际和月度。结果表明,NPS 污染风险具有季节性和空间变异性,明显受水环境容量的影响。高 NPS 污染负荷并不一定意味着高污染风险。相反,低 NPS 养分污染负荷并不代表区域风险敏感性低。此外,基于水环境容量的 NPS 风险评估还可以区分因相似 NPS 污染物流失和相同水功能区划而掩盖的风险水平差异,从而实现对流域 NPS 污染管理的精确控制。