DOI: 10.5194/hess-22-2615-2018
论文题名: Drainage area characterization for evaluating green infrastructure using the Storm Water Management Model
作者: Lee J.G. ; Nietch C.T. ; Panguluri S.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2018
卷: 22, 期: 5 起始页码: 2615
结束页码: 2635
语种: 英语
Scopus关键词: Catchments
; Discrete event simulation
; Environmental Protection Agency
; Storm sewers
; Storms
; Water management
; Watersheds
; Directly connected impervious area
; Nash-Sutcliffe coefficient
; Spatial discretizations
; Storm water management model
; Stormwater management model(SWMM)
; Stormwater management models
; Urban stormwater runoff
; US Environmental Protection Agency
; Runoff
; calibration
; drainage
; GIS
; hydrography
; hydrological modeling
; infrastructure
; land cover
; parameterization
; rainwater
; runoff
; stream
; suburban area
; water management
; water quality
; watershed
; Cincinnati
; Ohio
; United States
英文摘要: Urban stormwater runoff quantity and quality are strongly dependent upon catchment properties. Models are used to simulate the runoff characteristics, but the output from a stormwater management model is dependent on how the catchment area is subdivided and represented as spatial elements. For green infrastructure modeling, we suggest a discretization method that distinguishes directly connected impervious area (DCIA) from the total impervious area (TIA). Pervious buffers, which receive runoff from upgradient impervious areas should also be identified as a separate subset of the entire pervious area (PA). This separation provides an improved model representation of the runoff process. With these criteria in mind, an approach to spatial discretization for projects using the US Environmental Protection Agency's Storm Water Management Model (SWMM) is demonstrated for the Shayler Crossing watershed (SHC), a well-monitored, residential suburban area occupying 100 ha, east of Cincinnati, Ohio. The model relies on a highly resolved spatial database of urban land cover, stormwater drainage features, and topography. To verify the spatial discretization approach, a hypothetical analysis was conducted. Six different representations of a common urbanscape that discharges runoff to a single storm inlet were evaluated with eight 24 h synthetic storms. This analysis allowed us to select a discretization scheme that balances complexity in model setup with presumed accuracy of the output with respect to the most complex discretization option considered. The balanced approach delineates directly and indirectly connected impervious areas (ICIA), buffering pervious area (BPA) receiving impervious runoff, and the other pervious area within a SWMM subcatchment. It performed well at the watershed scale with minimal calibration effort (Nash-Sutcliffe coefficient Combining double low line 0.852 R2 Combining double low line 0.871). The approach accommodates the distribution of runoff contributions from different spatial components and flow pathways that would impact green infrastructure performance. A developed SWMM model using the discretization approach is calibrated by adjusting parameters per land cover component, instead of per subcatchment and, therefore, can be applied to relatively large watersheds if the land cover components are relatively homogeneous and/or categorized appropriately in the GIS that supports the model parameterization. Finally, with a few model adjustments, we show how the simulated stream hydrograph can be separated into the relative contributions from different land cover types and subsurface sources, adding insight to the potential effectiveness of planned green infrastructure scenarios at the watershed scale. © Author(s) 2018. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/163322
Appears in Collections: 气候变化与战略
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作者单位: Lee, J.G., Center for Urban Green Infrastructure Engineering (CUGIE Inc), Cincinnati, OH 45255, United States; Nietch, C.T., Office of Research and Development, US Environmental Protection Agency, Cincinnati, OH 45268, United States; Panguluri, S., Olney, MD 20832, United States
Recommended Citation:
Lee J.G.,Nietch C.T.,Panguluri S.. Drainage area characterization for evaluating green infrastructure using the Storm Water Management Model[J]. Hydrology and Earth System Sciences,2018-01-01,22(5)