Influence of landscape patterns on nitrate and particulate organic nitrogen inputs to urban stormwater runoff

Hou, Yifan, Wang, Shihui, Ma, Yukun, Shen, Zhenyao, & (2023) Influence of landscape patterns on nitrate and particulate organic nitrogen inputs to urban stormwater runoff. Journal of Environmental Management, 348, Article number: 119190.

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Description

This study investigated the effect of the landscape pattern of permeable/impermeable patches on NO3--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 NO3--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 NO3--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.

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ID Code: 244038
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Goonetilleke, Ashanthaorcid.org/0000-0002-8783-1223
Additional Information: Acknowledgement: This research was supported by the National Natural Science Foundation of China (No. 42077377) and the Fundamental Research Funds for the Central Universities (No. 2019NTST09).
Measurements or Duration: 9 pages
DOI: 10.1016/j.jenvman.2023.119190
ISSN: 0301-4797
Pure ID: 148132272
Divisions: Current > QUT Faculties and Divisions > Faculty of Engineering
Current > Schools > School of Civil & Environmental Engineering
Copyright Owner: 2023 Elsevier Ltd.
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Deposited On: 24 Oct 2023 00:58
Last Modified: 26 Jul 2024 17:44