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Miller Creek Stormwater Modeling Project

Jesse Schomberg, Carl Richards, and George Host

Background

Stormwater quantity and quality were modeled for the Miller Creek watershed in Duluth, MN . Miller Creek is geomorphically typical of many North Shore streams, with low-gradient headwaters surrounded by wet shrublands, becoming incised as it nears the ridgeline, and finally dropping rapidly across exposed bedrock as it descends to the St. Louis River estuary of Lake Superior. The land use within the basin is mixed, with the headwaters relatively undeveloped, a large commercial area in the middle section of the basin, and dense residential and commercial lands in the lower section of the basin. Data on ElevationLand use/ Land cover , and Roads are available for review. There are three factors which gave impetus to this modeling effort: Miller Creek's status as a Brook Trout stream with natural reproduction, the significant amount of commercial development occurring in the upper part of the watershed, and the impending regulation of stormwater in cities with populations between 50,000 and 100,000 by the U.S. Environmental Protection Agency.

SWMM, the EPA-developed Storm Water Management Model (see here for distribution information) was chosen for several reasons. SWMM was developed by the EPA from 1969 to 1971, and has been modified and upgraded over the years by universities, private consultants, the US EPA, and others (James et al. 1998, Huber and Heaney 1976, Jewell et al. 1976, Donigian and Huber 1991). There is a wide body of literature documenting its use and an internet list-serv (http://www.chi.on.ca/swmmusers.html) where new and veteran users post questions and answers, tips, and problems associated with using SWMM. Also, the PCSWMM front-end developed by Computational Hydraulics International is a relatively inexpensive program which simplifies some of the procedures necessary to run SWMM. In short, SWMM is widely used, widely documented, supported since its development, and has an inexpensive program available to reduce the required learning-time. Specifically, we used PCSWMM 98, which uses the SWMM 4.4 engine.

We used a two-year hourly discharge dataset for three sites along the Miller Creek mainstream to calibrate and validate the flow portion of the model. This data was collected by the Minnesota DNR in 1997 and 1998. The locations of these sites are on each watershed map, and are listed as the "DNR Sites". Pollutant calibration data was obtained from the Minnesota Pollution Control Agency (MPCA) for 4 subcatchments within the watershed. The data provided was single-event storm loads for each pollutant, covering 3 to 5 storm events for each site. Concentrations were not available. These sites are labeled as "MPCA Sites" on the maps. All data sites are included in each image for reference.

The expected outcome of this effort was a water quantity model calibrated and validated for three points along Miller Creek and a quality model with enough calibration to allow for scenario and paired-basin analyses. Confidence in the quantity portion of the model is much higher than the quality portion due to the amount of available data for calibration and validation. There is a relatively high uncertainty associated with the quality model. Thus, the actual pollutant concentrations and loads are suspect, however the relative changes associated with paired basin analysis or applied scenarios such as increased development or channelized waterways can be viewed with greater confidence.

A total of 9 scenarios were analyzed for flow and each of the 4 pollutants (Nitrate, Total Dissolved Solids, Total Phosphorus, and Total Suspended Solids) and reported as % change from the original model, as it was calibrated for the current set of conditions. Several scenarios have multiple parts, resulting in 14 different sets of watershed conditions modeled. Detailed descriptions of each set of conditions are included. 

Results

Results have been sorted in two ways. Either you can view results grouped by a specific constituent, for all scenarios, or view results grouped by scenario. The constituent grouping should allow easier determination of how the various scenarios affected any one of the constituents, while the scenario grouping should allow easier determination of the overall effect of the scenario on all parameters analyzed.

View results by Constituent 
View results by Scenario

The Miller Creek project was jointly funded by the Minnesota Legislative Commision on Minnesota Resources and the LSDS project.

For Questions or Comments on Miller Creek, contact:
Carl Richards
Minnesota Sea Grant
2305 E 5th St
Duluth, MN 55812
Phone: (218) 726-8710

 

The Lake Superior Decision Support project is coordinated through the Center for Water and the Environment at the Natural Resources Research Institute. The project is funded by the USEPA Region 5 Coastal Environmental Management Grant Program through the Minnesota Department of Natural Resources.  For comments on this project or this home page, contact George Host.  Last updated: Monday, May 22, 2000 14:21
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