Metro Sub-Watershed Analysis (SWA)
Accelerated Implementation Grant 2014
This project will result in the development of the PTMapp in impaired watersheds in Nicollet County.
This goal of this project was to provide services to partners in all eleven metro counties during the completion of 22 additional SWAs. SWAs are most often completed in conjunction with local partners who provide matching funds. In all cases, SWAs are completed in cooperation with a local implementing entity to directly address the goals of approved plans. This programmatic structure has strengthened partnerships between SWCDs and other local implementing entities such as watershed districts, county departments, cities, and lake improvement districts.
SWA Host Amin and SWA Fiscal Agent Activities are completed.
The following 18 SWAs were completed:
ChisagoLID Chain of Lakes
IsantiGreen Lake SWA
IsantiBlue Lake SWA
RamseySouth Bald Eagle
ScottW Upper Spring Lake
SherburneBlue Lake SWA
LOCAL LEVERAGED FUNDS
Ensuring natural resource practitioners are applying state-of-the-art approaches is the best way to achieve optimum Best Management Practice (BMP) selection, design, and placement in the landscape, thereby maximizing Clean Water Fund (CWF) benefits. To that end, it is critical to train new staff, create modeling protocols for new BMPs, refine and calibrate models, and test ever-advancing modeling applications. The Metro Conservation District's (MCD) Sub-Watershed Analysis (SWA) program provides these capacity-building services and united efforts across 11 Soil and Water Conservation Districts (SWCDs).
The SWA program has had quantifiable impact on water quality improvement efforts. During the first 36 months of funding, this process resulted in 63 analyses completed or underway and identified over 4,000 site-specific BMPs. Many CWF project grant applications are the result of SWAs propelling cost-effective projects onto local priority lists.
MCD will analyze an additional 22 subwatersheds that contribute to the degradation of locally-identified high priority water resources. The analyses will identify the location and estimated cost/benefit relationship for BMPs, evolve with new technology, and share discoveries metro-wide.