State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, 19 Xinjiekou Outer Street, Beijing, 100875, PR China.
State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, 19 Xinjiekou Outer Street, Beijing, 100875, PR China.
J Environ Manage. 2023 Dec 15;348:119190. doi: 10.1016/j.jenvman.2023.119190. Epub 2023 Oct 12.
This study investigated the effect of the landscape pattern of permeable/impermeable patches on NO-N and particulate organic nitrogen (PON) concentrations during stormwater runoff transport and their source contributions. Six landscape pattern indices, namely, mean proximity index (MPI), largest patch index (LPI), mean shape index (MSI), landscape shape index (LSI), connect index (CONNECT), and splitting index (SPLIT), were selected to reflect the fragmentation, complexity, and connectivity of permeable patches in urban catchments. The results show that lower fragmentation, higher complexity, and greater connectivity can reduce NO-N concentrations in road runoff and drainage flow (i.e., the flow in the stormwater drainage network), as well as PON concentrations in road runoff. Further, the above landscape pattern is effective for mitigating the contributions of NO-N and PON from road runoff. Low impact development (LID) can be incorporated with the landscape pattern of permeable/impermeable patches to mitigate nitrogen pollution in urban stormwater at the catchment scale by optimizing the spatial arrangement.
本研究调查了透水/不透水斑块的景观格局对雨水径流传输过程中硝态氮（NO-N）和颗粒有机氮（PON）浓度的影响及其来源贡献。选择了六个景观格局指数，即平均接近指数（MPI）、最大斑块指数（LPI）、平均形状指数（MSI）、景观形状指数（LSI）、连接指数（CONNECT）和分离指数（SPLIT），以反映城市流域中透水斑块的破碎化、复杂性和连通性。结果表明，较低的破碎化、较高的复杂性和较大的连通性可以降低道路径流和排水流（即雨水排水管网中的水流）中的 NO-N 浓度以及道路径流中的 PON 浓度。此外，上述景观格局有利于减轻道路径流中 NO-N 和 PON 的贡献。可以将低影响开发（LID）与透水/不透水斑块的景观格局相结合，通过优化空间布置来减轻城市雨水在集水区尺度上的氮污染。
