|
![]() |
||
|
|
|
Shingle
Creek Stormwater Master Plan Orange County, Florida The Shingle Creek Stormwater Management Master Plan addressed water quantity (flood analysis and management), water quality (constituent analysis and pollutant load reduction), and ecological impacts to wetlands within the watershed. This management plan provided recommendations and an associated implementation schedule to assist Orange County in providing improved levels of service and in meeting their desired goals. The scope of work within the Shingle Creek Watershed included the following tasks: Data Collection and Evaluation, Existing System Evaluation, Water Quality Evaluation (Modeling), Water Quantity Evaluations (Modeling), Alternative Evaluation and Recommendations, Construction Cost Estimates, Final Draft Report and Documentation, Public Information Pamphlet, Public Hearings and Final Report. The study encompassed approximately 80.7 square miles (51,638 acres) and is located in the south-central portion of Orange County. The watershed consists of one main riverine system (Shingle Creek, 15 miles in length) and fourteen tributaries (totaling 26 miles in length) which flow into Shingle Creek. Shingle Creek ultimately outfalls into Lake Tohopekaliga in Osceola County. The watershed was divided into over three hundred sub-basins. The hydrologic parameters that were necessary to establish the stormwater runoff were developed utilizing ARC/INFO and ArcCAD. The runoff generated by these sub-basins was computed using the Advanced Interconnected Pond Routing (adICPR) computer model. Additionally, the river sections, pipes, drop structures and weirs were all modeled using adICPR. WSPRO was incorporated into the analysis to simulate the flow through bridge sections. Water quality modeling was also a major emphasis of this
study. Since the pollutants that are carried in stormwater runoff degrade
downstream receiving water bodies, a pollutant load model was developed
to estimate the amount of harmful pollutants flowing to these water bodies
on an annual basis. This model utilizes a computer spreadsheet (Eutromod:
Developed by Dr. Reckhow in 1990 at Duke University) which organizes important
data such as land use class, loading rates, and treatment efficiencies
yielding the amount of pollutants generated within a particular area.
Additionally, statistical analysis was performed on over 4,400 water quality
samples. Trends, averages and standard deviations were calculated and
reviewed. Furthermore, the data was divided into "poor", "average"
and "good" classes as well as compared to State averages for
water quality in lakes and streams.
|