The urban environment modifies the hydrologic cycle resulting in increased runoff rates, volumes, and peak flows. Green infrastructure, which uses best management practices (BMPs), is a natural system approach used to mitigate the impacts of urbanization onto stormwater runoff. Patterns of stormwater runoff from urban environments are complex, and it is unclear how efficiently green infrastructure will improve the urban water cycle. These challenges arise from issues of scale, the merits of BMPs depend on changes to small-scale hydrologic processes aggregated up from the neighborhood to the urban watershed. Here, we use a hyper-resolution (1m), physically based hydrologic model of the urban hydrologic cycle with explicit inclusion of the built environment. This model represents the changes to hydrology at the BMP scale (similar to 1m) and represents each individual BMP explicitly to represent response over the urban watershed. Our study varies both the percentage of BMP emplacement and their spatial location for storm events of increasing intensity in an urban watershed. We develop a metric of effectiveness that indicates a nonlinear relationship that is seen between percent BMP emplacement and storm intensity. Results indicate that BMP effectiveness varies with spatial location and that type and emplacement within the urban watershed may be more important than overall percent.
机构:
China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Hydrol Cycle River, Beijing 100038, Peoples R China
Key Lab River Basin Digital Twinning Minist Water, Beijing 100038, Peoples R ChinaChina Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Hydrol Cycle River, Beijing 100038, Peoples R China
Wang, Jia
Liu, Jiahong
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China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Hydrol Cycle River, Beijing 100038, Peoples R China
Key Lab River Basin Digital Twinning Minist Water, Beijing 100038, Peoples R ChinaChina Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Hydrol Cycle River, Beijing 100038, Peoples R China
Liu, Jiahong
Yang, Zixin
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Jilin Univ, Coll New Energy & Environm, Changchun 130021, Peoples R ChinaChina Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Hydrol Cycle River, Beijing 100038, Peoples R China
Yang, Zixin
Mei, Chao
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机构:
China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Hydrol Cycle River, Beijing 100038, Peoples R China
Key Lab River Basin Digital Twinning Minist Water, Beijing 100038, Peoples R ChinaChina Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Hydrol Cycle River, Beijing 100038, Peoples R China
Mei, Chao
Wang, Hao
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China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Hydrol Cycle River, Beijing 100038, Peoples R ChinaChina Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Hydrol Cycle River, Beijing 100038, Peoples R China
Wang, Hao
Zhang, Dongqing
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China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Hydrol Cycle River, Beijing 100038, Peoples R China
Hohai Univ, Coll Hydrol & Water Resources, 1 Xikang Rd, Nanjing 210098, Peoples R ChinaChina Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Hydrol Cycle River, Beijing 100038, Peoples R China
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Univ Utah, Global Change & Sustainabil Ctr, Salt Lake City, UT 84112 USAUniv Melbourne, Sch Ecosyst & Forest Sci, 500 Yarra Blvd, Burnley, Vic 3121, Australia