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U.S. Geological Survey Monitoring and Assessment Programs. Aquatic invasive species Nutrient enrichment Beach Health Contaminants – in Sediments, Fish and Drinking Water Nuisance algal blooms Habitat degradation Loss and Alteration of Coastal Wetlands Fisheries and food web changes.

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Presentation Transcript
slide1

U.S. Geological Survey

Monitoring and Assessment Programs

management issues in the lake michigan basin
Aquatic invasive species

Nutrient enrichment

Beach Health

Contaminants – in Sediments, Fish and Drinking Water

Nuisance algal blooms

Habitat degradation

Loss and Alteration of Coastal Wetlands

Fisheries and food web changes

Management Issuesin the Lake Michigan Basin
current monitoring efforts
Current Monitoring Efforts
  • Need to identify historical and current monitoring for Cyanobacteria and toxins and related factors
  • USGS is developing a mapper tool and database to pull together as much Great Lakes monitoring data as possible.
slide5

What?

  • nutrient monitoring,
  • toxics monitoring,
  • virus sampling
slide6

When?

  • Data calibration
  • Calibration to monthly
  • Base flow measurements
  • Stormflow (6 storms/yr.)
  • Fixed-interval samples
  • 60 environmental samples per site
slide7

How?

  • real-time sensors
  • Surrogates for:
    • Suspended sediment,
    • Nutrients,
    • Chloride
slide8

30National Monitoring Networksites

with real-time flow and water-quality information

slide9

All real-time monitoring available at:

http://waterwatch.usgs.gov/wqwatch/

slide10

Real-time water quality monitors

Multi-parameter (YSI) Sonde

  • Why Continuous QW Monitoring?
  • Improves our understanding of hydrology and water quality
  • Continuous data (every 15 minutes) --captures seasonal, diurnal, and event-driven fluctuations
  • Reduces Time and Costs associated with manual sampling.
  • Few discrete samples (20 per year) used to develop QW interpretations.
  • Estimating non-monitored constituents involves regressions to discharge.
  • Use water-quality data to predict water-quality data!
slide11

Surrogate load estimates

  • Using monitoring sensors, collected samples to provide estimates of concentrations and loads of other constituents
  • time-series-based estimator to provide on-line (filter) and off-line (smoother) estimates of concentrations
  • For: sediment, chloride, and nutrients including ammonia plus organic nitrogen and total phosphorus
  • estimates will:
    • use past and current information from discrete measurements
    • utilize continuous measurements of surrogate water-quality constituents
    • be computed using data before and after the time of estimation
slide12

Determine Baseline and Sources of Toxic Contaminant Loadings

  • Automated sampling for viruses
    • Two to three basins up stream of the selected NMN sites
    • monitored for human and animal viruses, wastewater indicators,
    • veterinary antibiotics, protozoa, and bacterial pathogens
  • Monitor at 8 Nutrient site potential watersheds:
    • Manitowac,
    • Milwaukee,
    • Fox,
    • Clinton,
    • Rougue,
    • Maumee
    • Portage
    • Plus 1 other in Michigan
  • Monitor for viruses and pathogens using auto virus sampler, monthly and 6 storms
slide13

Determine Baseline and Sources of Toxic Contaminant Loadings

  • Organochlorine pesticides, PCB’s and PBDE’s
    • (30 analytes plus Total PCB’s and 5 PCB Congeners)
  • Polycyclic Aromatic Hydrocarbons
    • (34 analytes)
  • Wastewater Indicator Chemicals
    • (44 analytes)
  • Pharmaceuticals
    • (44 analytes)
slide15

Sediment traps at 15 AOC sites in the Great Lakes

  • Sediment traps at 15 AOC sites in the Great Lakes
  • Sediment traps at 15 AOC sites in the Great Lakes
  • Determine Baseline and Sources of Toxic Contaminant Loadings
  • Sediment traps at 15 AOC sites in the Great Lakes

Sediment traps at 15 AOC (Area of Concern) sites in the Great Lakes

  • Sample for:
    • PAH’sand Total PCB’s
    • Alkylated PAH’s,
    • Pharmaceuticals
    • Sampling will be upstream of AOC’s and when applicable downstream of AOC’s
    • determine if upstream is a continuing loading source for the AOC.

deployed at all 15 AOC sites in fall of 2010

flood inundation mapping
Flood Inundation Mapping

High-water marks

USGS Real-time streamgage data

FIMI

http://las.depaul.edu/geography/images/Misc_Images/gis.jpg

National Weather Service flood forecasts

usgs fimi focus areas
USGS FIMI Focus Areas
  • Major flood documentation studies using high-water marks
  • Static inundation map libraries at gages/flood forecast points
  • Real-time, dynamic applications for the future
annual fish stock assessments
Annual Fish Stock Assessments
  • Scientists assess results of trawl
  • Helps determine prey/predator balance
  • Long-term: >70 yrs of USGS data
zebra mussels
Zebra Mussels
  • One of the most visible invasive species in the Great Lakes
  • These filter feeders have cleaned up lake water, allowing greater light penetration
algae in the great lakes
Algae in the Great Lakes
  • Nuisance algae has been increasing
  • Related to dreissenid mussels – light penetration in water
  • USGS research on Cladophora and beach closure issues
beach health
Beach Health
  • Beaches are closed when too many pathogens are detected in water
  • Need to track sources and make earlier and better predictions of closing
  • USGS beach research on models and methods for better predictions
wetlands
Wetlands
  • Wetlands in Great Lakes are critical to restoration and protection
  • USGS research in many places such as Metzger Marsh on Lake Erie
  • Important for lake level regulation
slide24

Sediment traps at 15 AOC sites in the Great Lakes

  • Sediment traps at 15 AOC sites in the Great Lakes
  • Sediment traps at 15 AOC sites in the Great Lakes

Thank You

  • Sediment traps at 15 AOC sites in the Great Lakes