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Water Quality Impacts of Reservoirs

Water Quality Impacts of Reservoirs. Burns & McDonnell (Contract C-C20104P) Gene L. Foster November 18, 2004. Presentation Outline. Study background & goals Project team Data site identification & data acquisition Data set analysis Data validation & GIS interface

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Water Quality Impacts of Reservoirs

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  1. Water Quality Impacts of Reservoirs Burns & McDonnell (Contract C-C20104P) Gene L. Foster November 18, 2004

  2. Presentation Outline • Study background & goals • Project team • Data site identification & data acquisition • Data set analysis • Data validation & GIS interface • Summary & Recommendations

  3. Study Background • CERP – 60+ elements to mitigate adverse environmental impacts • WRDA of 2000 authorized 11 initial CERP projects • EAA storage reservoir – 1 of 11 projects

  4. EAA Reservoir Goals • Reduce regulatory releases from and back pumping to Lake Okeechobee • Water storage for Everglades dry season demands • Optimize STA performance • Improve EAA flood control & water supply

  5. LTP & EAA Reservoir • Long Term Plan: • Recognizes importance of predicting EAA Reservoir influence on STA performance • Recommends assisting design team with water quality analysis • EAA Reservoir research questions: • What are quality impacts to water that passes through reservoir? • What data are need to calibrate a reservoir water quality model? • What data sets are available to calibrate analytical model(s)?

  6. WQIR Study • Contracted with Burns & McDonnell under existing modeling contract (C-C20104P-WO02) • Study goals • Identify water bodies similar to EAA reservoir • Collect hydrologic, climatic, physical & water quality data for identified sites • Develop calibration data sets

  7. Study Team • SFWMD • Yanling Zhao, Ph.D. and other District staff • Burns & McDonnell Engineering Co., Inc. • Galen E. Miller, P.E. • Gene L. Foster, P.E. • Engineering & Applied Science, Inc. • Srinivas G. Rao, Ph.D., P.E. • Wetland Solutions, Inc. • Robert L. Knight, Ph.D.

  8. WQIR Work Plan • Task 1 - Initial Project Meeting • Task 2 - Identification of Data Sites and Data Acquisition • Task 3 – Analysis of Data Sets • Task 4 – Data Validation and Data Interface

  9. Task 2Identification of Data Sitesand Data Acquisition

  10. Task 2 Components • Identify preliminary data sites • Screen & select candidate data sites • Collect data • Organize & analyze data • Screen candidate sites • Report

  11. Identify Preliminary Data Sites • Land use/land cover maps • SFWMD • SJRWMD • SWFWMD • 100-acre minimum size • 622 preliminary water bodies

  12. Preliminary Site Inventory

  13. Preliminary Site Screening • Agency contacts • SFWMD, SJRWMD, SWFWMD • Florida DEP • County environmental groups • Screening criteria: • Flow-thorough hydrology • Stage data • Plant community & physical data • 36 candidate data sites

  14. Candidate Data Sites - SFWMD • Bonnet Lake • Caloosahatchee River • FP&L Martin Co Reservoir • Lake Istokpoga • Lake Josephine • Lake Sebring • Lake Trafford • Red Beach Lake

  15. Candidate Data Sites - SJRWMD Blue Cypress WMA-E B. Cypress WMA-W Crescent Lake Emeralda MCA Kenansville Lake Lake Disston Lake George Lake Harney Lake Jessup Lake Monroe Lake Norris Lake Washington Rodman Reservoir St. Johns MCA St. Johns WMA Sunnyhill Farm Taylor Creek Res

  16. Candidate Data Sites - SWFWMD Keystone Lake Lake Calm Lake Carroll Lake Howard Lake Magdalene Lake Panasoffkee Lake Parker Lake Seminole Lake Thonotosassa Medard Park Res Tsala Apopka

  17. Candidate Data Sites

  18. LTP Coordination • Lake Apopka • Lake Jessup • Brevard County Stick Marsh (SJMCA) • Sun Ag Reservoir (BCWMA-East) • Lake Istokpoga

  19. Data Acquisition • Desired data types • Physical data • Hydrologic & water quality data • Climatic data • Operating criteria and costs • Data sources • Internet searches • Agency contacts

  20. Candidate Data Site Ratings • Primary rating criteria • Period of record 1 year or more • Inflow & outflow water volumes • Inflow, outflow & interior phosphorus conc. • Stage/elevation data w/ average depth >3 ft. • Assigned relative ratings • Good: 8 data sites • Fair: 13 data sites • Poor: 15 data sites

  21. Eight Good-Rated Data Sites • Crescent Lake • Lake George • Lake Harney • Lake Istokpoga • Lake Jessup • Lake Thonotosassa • Rodman Reservoir • St. Johns Marsh Conservation Area • A.K.A – Potential data sets

  22. Potential (Good-rated) Data Sites

  23. Task 3Analysis of Data Sets

  24. Task 3 Components • Data validation • Data summaries • Water balances • Phosphorus balances • Statistical analyses • Report

  25. Data Validation • Raw data validation • Review non-electronic data • Verify database imports

  26. Data Summaries • Key data parameters • Flow • Total phosphorus/phosphate concentration • Total nitrogen concentration • Total calcium concentration • Water level & temperature • pH • 3 locations – inflow, outflow & interior • Time series graphs

  27. Water Balances • Daily time step for period of record • Estimated • Surface area • Gaged and ungaged inflow & outflow • Precipitation gains & evaporation losses • Lake elevation & depth • Change in storage • Imbalance term

  28. Phosphorus Mass Balances • Daily estimates from periodic sample data • Estimated • Inflow TP concentration and mass flux • Wet & dry phosphorus deposition • Outflow TP concentration and mass flux • Net phosphorus retention

  29. Data Set Analysis • P retention vs. hydraulic loading rate • Calculated settling rate (k) vs. • Hydraulic loading rate • Calcium concentration • pH • Water temperature • Depth

  30. Crescent Lake Stations

  31. Crescent Lake - Flow

  32. Crescent Lake – Total Phos.

  33. Crescent Lake – Total Nitrogen

  34. Crescent Lake – Calcium

  35. Crescent Lake - pH

  36. Crescent Lake - Elevations

  37. Crescent Lake – Water Temp. Crescent Lake

  38. Crescent Lake – Ret. Eff. Vs. Q

  39. Crescent Lake – K vs. Q

  40. Crescent Lake – K vs. Ca

  41. Crescent Lake – K vs. Temp.

  42. Depth Comparison

  43. Phosphorus Retention

  44. Task 4Data Validation & Data Interface

  45. Task 4 Components • Data validation & delivery • GIS data interface • Report

  46. Data Validation • Daily data • Non-daily data • Data normalization & cleanup

  47. Data Summary • 36 candidate data sites • 18 Florida counties • 24 collecting organizations • 1,311 unique monitoring sites • 824 hydrologic & water quality parameters • 3.5 million data points

  48. Data Points by Site

  49. Data Points by Key Parameter

  50. Web Data Interface • Web based – access from browser • Select one or more lakes from map or list • Select one or more parameters from list • Display data for selections on screen • Export monitoring data for one or more sites • Export water & phosphorus balances

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