Influence of landscape patterns on nitrate and particulate organic nitrogen inputs to urban stormwater runoff.
In: Journal of Environmental Management, Jg. 348 (2023-12-15), S. N.PAG
academicJournal
Zugriff:
This study investigated the effect of the landscape pattern of permeable/impermeable patches on NO 3 −-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 3 −-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 3 --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. • Less fragmentation, more complexity, better connectivity reduces nitrogen pollution. • Preferred landscape pattern reduces NO 3 −-N concentrations in road and drainage flow. • Preferred landscape pattern reduces PON concentrations in road runoff. • Preferred landscape pattern reduces NO 3 −-N and PON contributions by road runoff. • Recommendations are given for LID to mitigate stormwater nitrogen pollution. [ABSTRACT FROM AUTHOR]
Titel: |
Influence of landscape patterns on nitrate and particulate organic nitrogen inputs to urban stormwater runoff.
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Autor/in / Beteiligte Person: | Hou, Yifan ; Wang, Shihui ; Ma, Yukun ; Shen, Zhenyao ; Goonetilleke, Ashantha |
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Zeitschrift: | Journal of Environmental Management, Jg. 348 (2023-12-15), S. N.PAG |
Veröffentlichung: | 2023 |
Medientyp: | academicJournal |
ISSN: | 0301-4797 (print) |
DOI: | 10.1016/j.jenvman.2023.119190 |
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