TARGETED WATER QUALITY MONITORING. FSA Stormwater Seminar 2017

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1 TARGETED WATER QUALITY MONITORING FSA Stormwater Seminar 2017

2 Agenda Discuss City of Lakeland s Approach 1. List of Prioritized TMDL Lakes 2. Targeted Water Quality Approach on Initial Lakes 3. Revised Targeted Water Quality Approach for Future

3 City of Lakeland s TMDL Prioritization List PRIORITY WBID SEGMENT NAME CO-PERMITTEES 1 Lake Hunter Major FDOT highways cross basin 2 Lake Bonny 3 Crystal Lake 4 Lake Parker Major FDOT highway bisects basin Approximately ½ of MS4 Contribution is County; #3 on County s List; Some FDOT contribution. Some County MS4; #15 on County s List; 3 Major FDOT highways cross basin 5 Lake Hollingsworth

4 Lake Hunter Targeted Monitoring- Watershed

5 Summary of Lake Hunter Targeted Monitoring # Monitoring Element Sampling Description Takeaways from Sampling 1 Lake to Lake Discharge (From Lake Beulah) -No Beulah discharge - Storm Event sampling observed for local (MFR) drainage -EMC MFR for TN much higher than State average - Provides limited information relative to Beulah discharge contributions to Lake Hunter -Pollutant load estimate in model should be adjusted down 2 Lake to Lake Discharge (From Lake Wire) - Storm Event sampling -Monthly Baseflow Samples -EMC of the mixed landuse was well below State averages of the contributing land uses. -Frequent street sweeping was theorized as driver for lower EMC -Pollutant load estimate in model should be adjusted down -Nutrient loads from a combination of base and storm flows remains a significant load to the Lake 3 High Load Outfall from Mostly Single Family Residential Land - Storm Event sampling -EMC SFR for TN and TP is higher than State average - Tree cover and alleys may be driver for higher EMCs - Pollutant load estimate in model should be adjusted down 4 Single Family Residential Outfall (EMC purposes) - Storm Event sampling -EMC SFR for TN and TP is significantly higher than State average - Tree cover and alleys may be driver for higher EMCs - Pollutant load estimate in model should be adjusted down 5 Lake Sediments -Bathymetric Survey -Characterize TP in sediments - 288,000 cy muck of 5.5 avg. depth - 22,000± lbs. of TP in sediment considered to have high to mediumhigh potential for release (point of reference: 500± lbs. TP from MS4)

6 Lake Hunter Targeted Monitoring- Impact on Load Reduction Targets Pollutant Load Estimates for Non-point Sources (Landuse-Based) TN (Lbs/Yr) TP (Lbs/Yr) TMDL 5, Previous Landuse-Based Model (for Year 3 Annual Report) Landuse-Based Adjusted by Targeted Monitoring 3, , Priority outfalls did not change from modeled to monitored condition. The 80% TMDL reduction for TN and TP will be applied to that portion of the Non-point source load that is discharged through MS4 outfalls.

7 Lake Bonny Targeted Monitoring- Watershed

8 Summary of Lake Bonny Targeted Monitoring # Monitoring Element Sampling Description Takeaways from Sampling 1 High Load Outfall from Mixed: Med. & High Density Res., Comm, Light Ind, & Major Highway Landuse - Storm Event sampling - EMC for TN and TP were much higher than State average for all but high density residential - Pollutant load estimate in model had to be adjusted up by 10% for TP and 16% for TN 2 3 High Load Outfall from Mostly Commercial, Med. Density Res., and Major Highway Landuse High Load Outfall from Mostly (>90%) Low Int. Commercial Land - Storm Event sampling - Storm Event sampling 4 Lake Sediments -Characterize TP in sediments -Bathymetric Survey - EMC for TN and TP were much higher than State average for all landuses - Pollutant load estimate in model had to be adjusted down by 140±% for TP and TN - Outfall remains a high nutrient load generator - EMC for TN and TP is 50% higher than State average for Low Int. Commercial - Pollutant load estimate in model must be adjusted up due to high actual EMC - 533,000± cy of unconsolidated sediments up to 10 feet deep - 16,300± lbs. of TP in sediment considered to have high to medium-high potential for release (point of reference:1,070± lbs. TP from MS4)

9 Lake Bonny Targeted Monitoring- Impact on Load Reduction Targets Pollutant Load Estimates for Non-point Sources (Landuse-Based) TN (Lbs/Yr) TP (Lbs/Yr) TMDL (expressed as lake concentration) N/A N/A Previous Landuse-Based Model (for Year 3 Annual Report) City of Lakeland Landuse-Based Adjusted by Targeted Monitoring 6,530 1,149 6,000± 1,070± Priority outfalls did not change from modeled to monitored condition The 60% TMDL reduction for TN and 64% reduction for TP will be applied to that portion of the Non-point source load that is discharged through MS4 outfalls.

10 Crystal Lake Targeted Monitoring- Watershed

11 Summary of Crystal Lake Targeted Monitoring # Monitoring Element Sampling Description Takeaways from Sampling 1 Major Outfall from Mixed: Primarily SFR and MFR with some Commercial and Open Space -Storm Events sampling - EMC for TN was much higher than State average for residential land uses - Pollutant load estimate in model had to be adjusted up by 50%± for TN 2 High Load Outfall from Primarily SFR Land Use 3 Lake Sediments -Storm Events sampling -Bathymetric Survey -Characterize TP in sediments - EMC for TN and TP were much higher than State averages. - EMC SFR for TP is higher than for other City lake basins and for TN is consistent with the EMC from other City lake basins - 33,700 cy unconsolidated sediments with 2 discernible deep pockets - 5,500± lbs. of TP in sediment considered to be bioavailable (reference to: 123± lbs. TP from MS4)

12 Summary of Crystal Lake Targeted Monitoring (cont d) An improved estimate of the potential impact from lake sediments looking at TP flux from the unconsolidated sediments was desired First approximation was based on TP incubation test work done in Pinellas County where the flux was related to the mean sediment TP concentration: Crystal Lake had a laboratory-based TP estimate of 7,480 mg TP/kg in the sediments This resulted in an estimated TP flux of 4,781 kg P/km2/yr (nominal) to 56,873 kg P/km2/yr (mean) and subsequently a range of 1,200± to 14,000± Lbs TP (net internal load)

13 Crystal Lake Targeted Monitoring- Impact on Load Reduction Targets MS4 nutrient contribution estimates: 843 Lbs TN & 123 Lbs TP Potential TP contribution to the water column ranges: 1,200 Lbs (nominal) to 14,000 Lbs (mean) The TMDL requires a 51.3% reduction in TN and a 79.2% reduction in TP from contributing MS4 discharges. It also requires a 75% TP reduction from benthic (e.g. unconsolidated sediment) flux Current Action Plan: City and County want to move forward with looking at alternatives for controlling the lake sediment nutrient source.

14 Lake Parker Targeted Monitoring- Watershed

15 Initiation of Lake Parker Targeted Monitoring # Monitoring Element Sampling Description 1 Lake to Lake Discharge (From Lake Crago) - Monthly grab sampling 2 Major Outfall at the SW Corner of the Lake - This outfall was retrofitted with relatively small sediment sump and vegetated linear wet pond. - Storm Event sampling of BMP inflow & discharge - Monthly Baseflow Samples 3 Lake Parker Canal - This major conveyance was retrofitted with an offline wet detention pond. - Storm Event sampling of BMP inflow & discharge - Monthly Baseflow Samples 4 FWC Teneroc Preserve - Monthly Baseflow Samples 5 Major Outfall- TBD - Storm Event sampling of BMP inflow & discharge 6 Lake Sediments 7 Lake Ambient Sampling - Bathymetric Survey - Characterize TP in sediments - Conduct sediment flux core tests under aerobic and anoxic conditions - Expanded to include vertical water column profile of monthly DO, ph, T, Cond. to document conditions above sediment through year

16 This lake was dredged in the 1990 s In the Future: Lake Hollingsworth A whole lake alum treatment has been performed since then Retrofits to date include: 2 stormwater ponds, 5 skimmer boxes, 11 baffle boxes, 34 inlet baskets Public education including the annual cardboard boat race is held on this lake Yet. In 2015, FDEP established a nutrient TMDL for a 52% reduction in TN and a 57% reduction in TP. The work continues.

17 Example Sampling Station Monitoring Station Dashboard

18 Utility of an In-place Monitoring Station - Hurricane Irma!

19 Utility of an In-place Monitoring Station - Hurricane Irma!

20 Thank you and on to the next speaker

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