Joe Battiata

1. Urban Water Quality Issues July 17th, 2008 Greensboro, North Carolina NACAA Annual Meeting & Professional Improvement Conference

2. Development Patterns

4. Typical Urban Non-Point Source Pollutant Loading

5. Typical Urban Non-Point Source Pollutant Loading Algae bloom; York River, 9/9/05 Courtesy Bill Portlock, Chesapeake Bay Foundation

6. Why is it that this particular design does not have to follow the fundamental unit processes of water quality?

7. Physics of Settling – Stokes Law Henry Darcy 1803 - 1858 Media Filtration – Darcy’s Law

8. BMP Evaluation In the Lab; or in the Field?

10. Treatment Objectives and Performance Goals

12. Treatment Objectives and Performance Goals

13. Treatment Objectives and Performance Goals

14. Treatment Objectives and Performance Goals

15. Treatment Objectives and Performance Goals

16. Lesson 2: Sample Collection Grab samples Flow-paced auto samples

17. One Grab = One Snapshot Multiple Grabs =Multiple Snapshots

18. Lesson 3: Site Selection - Location Currituck Gas House Barco, NC

19. Lesson 3: Site Selection - Simplicity Trench Drain from up-hill side of pumps Trench Drain on down-hill side of Oil-Water separator Canopy drain StormFilter Vault Bypass/Diversion manhole Outlet junction manhole

21. Eliminate Variables and External Influences (MEP) Lesson: All fuel islands should have an Oil/Water Separator

24. Corrective Action Taken

28. Hurricane Isabel

31. Alex, Bonnie, & Earl – 8-9/04

34. Corrective Action Taken AND THEN:

35. We Survived Hurricane Season ‘05

37. Lesson 5: Predict the Weather and Act Fast

38. We Got Better! 10% Early 2000’s success rate – Captures vs. Atts. 35 Qualified Storm Events - (meet DQO of >0.1 in. and >72 hr. antecedent conditions); hindsight 29% Successful Captures (10) vs. Opportunities (35) 43% Successful Captures (10) vs. Attempts (23) 23 Attempts to capture storm samples 68 Days with measurable precipitation

40. Adaptive management in action From: Restoration of Puget Sound Rivers Ralph and Poole, 2003 As Conceived in Consensus Building Process As Designed in Consensus Building Process

41. As generally implemented Adaptive management in pieces

42. Experimentation in the Urban Environment We’re running out of experimental opportunities!