1 / 35

Developing TMDLs for Indicator Bacteria in Urban Watersheds

Developing TMDLs for Indicator Bacteria in Urban Watersheds. I. Applicable WQS / Criteria.

bretz
Télécharger la présentation

Developing TMDLs for Indicator Bacteria in Urban Watersheds

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Developing TMDLs for Indicator Bacteriain Urban Watersheds

  2. I. Applicable WQS / Criteria EPA Ambient WQC For Bacteria – 1986Freshwater: E. colicol/100 mLSteady-State Geometric Mean 126 Single Sample Maximum*: Designated Beach (75% UCL) 235 Moderate Use (82% UCL) 298 Light Use (90% UCL) 410 Infrequent Use (95% UCL) 576* based on log10 standard deviation = 0.4

  3. Indicator Bacterial Criteria: Freshwater 1 0.9 0.8 Meets Criteria 0.7 0.6 Cumulative Frequency 0.5 Exceeds Criteria 0.4 0.3 0.2 0.1 0 1 1.5 2 2.5 3 3.5 4 E. coli (Log10 col./ 100 mL) Geometric Mean = 126 col / 100 mLLog10 STD = 0.4

  4. Indicator Bacteria Criteria: Freshwater 1 0.9 0.8 0.7 Exceeds Criteria 0.6 Cumulative Frequency 0.5 0.4 0.3 0.2 0.1 0 0 500 1,000 1,500 2,000 2,500 3,000 E. coli (col./100 mL) Geometric Mean = 126 col. / 100 mLLog10 STD = 0.4

  5. Indicator Bacteria Sample Data 1 0.9 0.8 0.7 0.6 Cumulative Frequency 0.5 0.4 0.3 0.2 0.1 0 0 500 1,000 1,500 2,000 2,500 3,000 3,500 4,000 4,500 5,000 E. coli (col./100 mL) Geometric Mean = 200 col. / 100 mLLog10 STD = 0.8

  6. Reduction Required

  7. Meets Criteria Exceeds Criteria Geometric Mean = 126 col. / 100 mLLog10 STD = 0.4

  8. II. Loading Capacity - TMDL • Rank Ambient Monitoring Data (low to high) • Assign Plotting Position (PP = rank/n) • Overlay Plot on Criteria Frequency Distribution • Calculate Average Percent Reduction

  9. Precip. > 0.25” designated as “Wet” (W)

  10. Plotting Position = Rank / 31

  11. Reduction = (E. coli - Criteria) / E. coli Monitoring < Criteria = 0% Reduction Average Reduction Required: 46%

  12. Sasco Brook Buckley Pond Dam @ Rte.1 TMDL46% Reduction NeededTo Meet Criteria

  13. Urban Watersheds “WET Conditions” • High Percentage of Impervious Surfaces • Rapid Runoff Following Rain Events • Ambient Water Quality Strongly Influenced by StormwaterRunoff Quality • MS4 Permit Developed to Regulate/Manage/Improve Stormwater Quality

  14. Urban Watersheds “DRY Conditions” • High Percentage of Impervious Surfaces • Reduced Infiltration, Poor Retention • Ambient Water Quality Strongly Influenced by Non-PointSources • Some Aspects of MS4 Permit will Reduce NPS Load

  15. Establishing WLA and LAPollutant Sources

  16. III. Load Allocation - LA • Select Data for Critical Baseflow (DRY) Condition • Overlay Plot on Criteria Frequency Distribution • Calculate Average Percent Reduction

  17. Average Reduction Required: 39% Only Data for Dry Weather,Baseflow Condition is used Plotting Position and % ReductionRetained from “All Data” Analysis

  18. Sasco Brook - DRY Buckley Pond Dam @ Rte.1 LA39% Reduction NeededTo Meet Criteria

  19. Load Allocation = 39% reduction Breakout: On-site Septic 39 % reduction Domestic Animal 39 % reduction Natural Wildlife 0.0 % reduction - No (0) allocation to dry weather overflows or illegal connections- Urban Wildlife Management Plan may be required if wildlife population excessive

  20. IV. Waste Load Allocation - WLA • Select Data for Critical Stormflow (WET) Condition • Overlay Plot on Criteria Frequency Distribution • Calculate Average Percent Reduction

  21. 58 % Average Reduction Required: Only Data for Wet Weather,Stormwater Dominated Conditionis used Plotting Position and % ReductionRetained from “All Data” Analysis

  22. Sasco Brook - WET Buckley Pond Dam @ Rte.1 WLA58% Reduction NeededTo Meet Criteria

  23. Waste Load Allocation = 58% reduction Breakout: Stormwater 58 % reduction POTW 0.0 % reduction - No (0) allocation to combined sewer overflows- Disinfection required at POTW during recreation season no additional reduction needed

  24. Sasco Brook Buckley Pond Dam @ Rte.1 TMDL46% Reduction NeededTo Meet Criteria

  25. Sasco Brook - DRY Buckley Pond Dam @ Rte.1 LA39% Reduction NeededTo Meet Criteria

  26. Sasco Brook - WET Buckley Pond Dam @ Rte.1 WLA58% Reduction NeededTo Meet Criteria

  27. V. Margin of Safety - MOS • Implementation will Eliminate Illegal Sources (IllicitConnections, Dry Weather Overflows, CSOs) • Assumes All Bacteria Detected Have Health Risk • Equivalent to Bacteria from Human Sources • 3. BMPs effective under both Critical & Non-Critical Conditions

  28. VI. Implementation • Phase II Stormwater Permit (Minimum Measures GoBeyond End-of-pipe e.g., “pooper scooper” ordinance,runoff management, public education) • Stormwater Management Plans (Opportunity to AddressNuisance Wildlife) • Prioritize/Target Wet/Dry Sources

  29. VII. Monitoring • Percent Reduction Calculated from Empirical CumulativeFrequency Plots Provides Direct Way to Measure Progress • Field Presence Will Result in Higher Awareness of Problemsand opportunities • Obtaining Ambient Water Quality Data Presents FewerLogistical Challenges and is Less Costly than StormwaterOutfall Monitoring

  30. Case Study: Sucker Creek • Drainage Area : 17.2 sq mi • Land Use : 23% urban 40% forested 30% residential 7% other • Features: 2 hobby farms local park trailer park 60% sewered • 303d Listed 1998, 2000, 2002 Basis for Listing 3/10/99 850 col/100 mL 6/15/99 250 col/100 mL 9/20/00 30 col/100 mL 12/3/00 150 col/100 mL

  31. Go to Excel

  32. IMPLEMENTATION

More Related