Black Warrior Clean Water Partnership North River Project Committee (Lower Sub Basin) Draft Minutes April 15, 2013 Alabama Dept of Public Health 2350 Hargrove Road East Tuscaloosa, AL 35405 Attendees Abner Patton (Chair)-Patton Geologics Mary W. Pitts (Watershed Coordinator) Rodney Barnes – AL DOT Bennett Bearden – GSA Stuart McGregor-GSA Shawn Carter-North River Intern Todd Hester – Ala Museum of Natural History Jim Jeter – Ala Forestry Commission Kathleen Kilpatrick-Citizen T-Town Green Roy Walton – Alabama Power Barry Ambrose-Ala Dept of Health Scott Sanderford-City of Tuscaloosa Kevin Turner-City of Tuscaloosa Randy Mecredy – Univ of Alabama Len Simmons – Alabama Power Laurie Johns – Citizen Amanda Espy-Brown – Ala Museum of Natural History B.J. Diltz – Tuscaloosa Health Dept Allie Sorlie – Ala Museum of Natural History Meeting Package Meeting Summary – March 18, 2013 North River Watershed Management Plan – Coordinator Report. ACWP Project: USDA/NRCS Watershed Prioritization Preliminary Results, Methodology, Recommendations North River WMP Implementation Project Timeline as of 4/10/13 North River WMP Load Reductions as of 3/31/13 Open Chairman, Abner Patton called the meeting to order. Meeting Summary from March 18, 2013 reviewed. (1st: Bearden, 2nd Ambrose) Old Business North River WMP Implementation Plan Update (North River Project Committee) Coordinator Report Attached Reporting: Semi-Annual report to ADEM (March 31, 2013) is posted on the Alabama Clean Water partnership website at www.cleanwaterpartnership.org UA Interim WMP Class o 8 students registered. Students will draft a watershed management plan for Carrol’s and Cribbs Mill Creek New Business: Match Reporting: Kellie encouraged North River partners to turn in any paperwork to document match for the North River grant. STEP-L Modeling: The Committee was presented the North River WMP Load Reductions as of 3/31/13 as reported to ADEM. The report includes the methodology and source of data for the calculation. STEP-L modeled results show that the BMPs installed is projected to reduce sediment (tons per year) in the Deadwater Creek Watershed by 28.6% and Binion Creek Watershed by 73.5%. Reports: Cribbs Mill Creek: Lauie Johns reported that she and Kathleen Kilpatrick are developing a group to address issues on Cribbs Mill Creek and provide public education Announcements North River Watershed Management Plan Coordinator Report – April 15, 2013 BMPs in Fayette and Tuscaloosa Counties o 24 remaining Clear and Deadwater Creek BMPs to be scheduled o Proposed large-scale BMP in Tuscaloosa County off Holly Spring Road Geological Survey of Alabama o Report on Bridge Crossings draft has been circulated to authors for review. Awaiting final revisions and contributions City of Berry and Bays Lake o All historic water quality data has been compiled and is available for review o Weyerheuser discussions on-going regarding Source Water Protection Plan and Ecological Service Research – anticipated Summer 2013 field work Public Forum/Watershed Festival/Lake Clean Up – April 2013 o Public Forum Participants set up and meal a great success Low public attendance (16 signed in) Councilwoman Cynthia Almond in attendance o Watershed Festival 6 schools represented, 16 class groups, approximately 400 children 18 Northside Volunteers, 20 Univ of Ala Volunteers 10 Educational Stations Tuscaloosa Mayor Walt Maddox opened the event o Clean Our Lake Over 100 participants One boat landing – Binion Creek Website Update o Shawn Carter, UA Geography major continues to add information and update as needed o Input and feedback requested from partners o Bays Lake data compiliation North River WMP Load Reductions As of March 31, 2013 Load Reduction Model Load and load reduction numbers were developed utilizing STEPL Version 4.0 developed by TetraTech (2006). (STEPL employs simple algorithms to calculate nutrient and sediment loads from different land uses and the load reductions that would result from the implementation of various best management practices (BMPs). STEPL provides a user-friendly Visual Basic (VB) interface to create a customized spreadsheet-based model in Microsoft (MS) Excel. It computes watershed surface runoff; nutrient loads, including nitrogen, phosphorus, and 5-day biological oxygen demand (BOD5); and sediment delivery based on various land uses and management practices. For each watershed, the annual nutrient loading is calculated based on the runoff volume and the pollutant concentrations in the runoff water as influenced by factors such as the land use distribution and management practices. The annual sediment load (sheet and rill erosion only) is calculated based on the Universal Soil Loss Equation (USLE) and the sediment delivery ratio. The sediment and pollutant load reductions that result from the implementation of BMPs are computed using the known BMP efficiencies. Watershed Data Input data for the STEPL Watershed characteristics was obtained utilizing the STEPL On-Line Data Access System (http://it.tetratech-ffx.com/steplweb/STEPLdataviewer.htm). Source data for the information obtained for selected HUC12 subwatersheds (based on USDA-NRCS, USGS, and USEPA) include: Landuse area (in acres) for selected HUC12 subwatershed(s) (based on NLCD, 2001) Agricultural animals distribution for selected HUC12 subwatershed(s) (based on USDA Census of Agriculture, 2007) Septic system data for selected HUC12 subwatershed(s) (based on septic system surveys by National Small Flows Clearinghouse in 1992 and 1998) Hydrological soil group for selected HUC12 subwatershed(s) (based on STATSGO database) Best Management Practices As of March 15, 2013, a total of 18 stormwater detention basins have been installed in and around dirt road stream crossing in the Deadwater Creek Watershed (HUC031601120401) and the Binion Creek Watershed (HUC031601120410). Table 1 Installed BMPs in the North River Watershed as of 3/15/13 Site # HUC12 Owner/Road Latitude Longitude 1 1 Deadwater Milton Smith Road 33.67093n 87.67322w 2 2 Deadwater Tucker Culvert 33.66194n 87.66163w 3 3 Deadwater Tucker Bridge 33.65971n 87.65718w 4 4 Deadwater Hershell Henry Road 33.72840n 87.65812w 5 5 Deadwater Lowery Road 33.68956n 87.66349w 6 6 Deadwater Hershell Henry Road 7 7 Deadwater Hershell Henry Road Downstream 33.72799n 87.65921w 8 7 Deadwater Hershell Henry Road Upstream 33.72789n 87.65913w 9 8 Deadwater Cassell 33.72953n 87.66210w 10 9 Deadwater Susan Moore 33.73660n 87.67344w Site # HUC12 Owner/Road Latitude Longitude 11 10 Deadwater Clear Creek Road 33.75074n 87.69260w 12 11 Deadwater Deer Creek Road 33.77274n 87.66780w 13 12 Deadwater Deavours Hill 33.75365n 87.63068w 14 13 Deadwater Clear Creek 33.74175n 87.65399w 15 1 Binion Harless Road 33.41578n 87.65240w 16 2 Binion Harless Road 33.40843n 87.66203w 17 3 Binion Harless Road 33.40787n 87.66250w 18 4 Binion Harless Road 33.40794n 87.66274w 19 5 Binion TD Norris Property 33.42104n 87.64867w Figure 1 Deadwater Creek BMP Locations Figure 2 Binion Creek BMP Locations Load and Load Reductions The “Gully and Stream Bank Erosion” tool was used to calculate pollutant load from gully and streambank erosion and potential load reductions due to the BMPs implementation. Separate load and load reduction calculations were made for Deadwater Creek and Binion Creek Watersheds. To obtain a “best estimate” of modeled sediment reduction, the top width of the gully was considered to be from the center crown of the dirt road to the far edge of the right of way. On the Binion Creek Watershed sites some of the top of the gully widths are 50 feet because drainage ditches on each side of the road (from ROW edge to ROW edge) are routed through a single BMP. Otherwise the 25 foot width is from the centerline of the dirt road to the edge of the ROW. Measurements of sediments collected from November 2011 through March 2013 have provided data which was utilized to calculate sediment capture. The calculations were performed by measuring the accumulation in feet on staff gages installed in the collection structures, multiplying the accumulation in feet by the area of the impoundment in square feet to determine the cubic feet of sediment. A value of 100 pounds per cubic foot of sediment was assigned to the material. Therefore, one cubic yard of material (27 cubic feet) weighs 2,700 pounds. Total cubic yards were multiplied by 2,700 for total pounds, and then total pounds were divided by 2,000 to determine tons. Deadwater Creek Watershed Actual Sediment Capture Measurements: From November 2011 through December 2012 the 13 impoundments have captured and removed 37 tons of material from streams in the Clear Creek Drainage Basin in Fayette County, Alabama. Modeled Results N Load (no P Load (no BOD Load Sediment N Reduction P Reduction BOD Sediment BMP) BMP) (no BMP) Load (no Reduction Reduction BMP) lb/year lb/year lb/year t/year lb/year lb/year lb/year t/year 54817.4 15230.8 147544.1 8073.9 3141.1 1209.3 6282.2 2309.6 Sediment N Load P Load BOD (with Load (with %N %P %BOD %Sed (with BMP) (with BMP) BMP) BMP) Reduction Reduction Reduction Reduction lb/year lb/year lb/year t/year % % % % 51767.3 14021.5 141261.9 5764.3 5.7 7.9 4.3 28.6 Binion Creek Watershed Actual Sediment Capture Measurements: Four BMP’s were installed in Tuscaloosa County along Harless Road in November 2012. Permission was obtained from the property owner for construction of the impoundments on their property. The impoundments are within the Gin Creek drainage basin which is a tributary to Binion Creek. From November 2012 through December 2012 the four BMP’s along Harless Road have captured and removed 70 tons of sediment from Gin Creek. The BMP on T.D. Norris property was recently installed and no actual data measurements have been made. Modeled Results N Load (no P Load (no BOD Load Sediment N Reduction P Reduction BOD Sediment BMP) BMP) (no BMP) Load (no Reduction Reduction BMP) lb/year lb/year lb/year t/year lb/year lb/year lb/year t/year 11404.7 3823.5 26830.0 3624.0 4905.1 1888.5 9810.2 2665.8 Sediment N Load P Load BOD (with Load (with %N %P %BOD %Sed (with BMP) (with BMP) BMP) BMP) Reduction Reduction Reduction Reduction lb/year lb/year lb/year t/year % % % % 6499.6 1935.1 17019.8 959.1 43.0 49.4 36.6 73.5