No LIDs applied to the Pre GSI or Validation scenarios. The LID input for each subcatchment for 1%, 2.5%, 3.5%, and 5% GSI scenarios are included in the table. The LID inputs for each subcatchment utilized a single representative 'GSI unit' based on the design of a street planter bioswale from the City andĬounty of Denver Ultra Urban Report. Data files include date, time, and 5-minute streamflow data in cubic feet per second. Streamflow data was downloaded from USGS 06711575. data files include date, time, and 5-minute precipitation data in inches. Precipitation data was downloaded from USGS at 5 raingages. Street polygons were produced from the street centerlines data and a buffer representing 1/2 the street width determined from the street centerlineĪttributes of lane numbers and roadway type.Ĭitizen service requests and known areas of recurring flooding datasets are not publically available, for more information contact Dr. Other landuse data (building outlines, impervious area, street centerlines) was acquired from the City and County of Denver Open Data catalog Study area outline and the bounding layer that delineates roadways from surrounding area are in NAD83 Colorado Central State Plane (US Feet).
Srct for lid calibration pcswmm download#
The National Map (TNM) Download Client () Was acquired from the City and County of Denver Open Data catalog ()ĭEM data (1-meter and 3-meter resolution) was acquired from the National Elevation Dataset (NED) using the United States Geologic Survey (USGS) Stormwater network data (storm manholes, storm inlets, storm sewer mains, streams, and storm water detention and water quality areas) The coordinate system of all project files and output data: NAD83 Colorado Central State Plane (US feet) Includes description of labeling method for output data files.
Stormwater data correction, 1D and 2D output data processing. Pre- and post-processing scripts including: LID application spreadsheet,
Project files including Pre GSI model, 4 GSI scenario models, and validation model. Input data including: stormwater data, DEM, study area outline, service requests, recurring flood locations, precipitation data, and streamflow data. Assessing the Use of Dual-Drainage Modeling to Determine the Effects of Green Stormwater Infrastructure on Roadway Flooding and Traffic Performance. The results showed that adopting PCSWMM recommendation only for the Imperv (%) parameter for subcatchments characteristics is the simulated scenario which is closest to rational method, while other modifications from the default values alter substantially the peak flow value.Knight, K.L. The main objective is to analyze the PCSWMM use in a watershed without data for calibration using the SCS method, implementing PCSWMM recommendations and comparing them with the rational method in terms of peak flow results. In this study, PCSWMM was used for calculation of drainage system of Riacho Fundo’s urban area in Federal District in Brazil, in preparation for future analysis of LID implementation.
To improve runoff estimation, it is growing the use of hydrodynamics models performed with computer programs, such as PCSWMM™ (SWMM with GIS integrated), but, most of the times model parameter values have to be assumed based on default values or developers´ recommendations. Unfortunately, it is very common in Brazil and in underdeveloped countries the lack of rainfall and field data, being frequently adopted the rational method for runoff estimation. Urbanization process changes the runoff generation, essential factor for drainage systems design.