Water Quality Ru Morrison, NERACOOS Pixie Hamilton, USGS Water Quality John Haines, USGS, Pixie Hamilton, USGS, Ru Morrison, NERACOOS, Mario Tamburri, ACT, Jawed Hameedi, NOAA NCOOS
Jan 14, 2016
Water Quality
Ru Morrison, NERACOOS
Pixie Hamilton, USGS
Water Quality
John Haines, USGS, Pixie Hamilton, USGS, Ru Morrison, NERACOOS, Mario Tamburri, ACT, Jawed Hameedi, NOAA NCOOS
Types of RA activities related to Water Quality Types of RA activities related to Water Quality
Plume Tracking
Observations, including support for partners
Data Services - simplifying access to data for users
Customized Products
Beach Water Quality Assessment and Modeling Activities
Issue: Exposure to beach swimming waters with elevated bacterial levels is a public health concern.
Goal: Develop and implement scientifically-justified decision-support tools to for accurate and defensible preemptive advisory issuance decisions.
Process:Level 1
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10%
20%
30%
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NMB2 NMB3 MB1 MB2 MB3 MB4 SS GCPerc
ent M
iscl
assi
ficat
ion
1.) Data integration
2.) Model development
3.) Model validation
4.) Operational decision-support tool
Who is doing it: Related work is taking place within 6 of the RAs.
Drinking Water Quality:Drinking Water Quality:Huron Erie Corridor Waterways Forecast System (HECWFS)Huron Erie Corridor Waterways Forecast System (HECWFS)
Goal: • Reduce health risks and
costs associated with pollutant spills in the Lake Huron to Lake Erie Corridor
Major Elements:• Link 2d model for corridor
to NOAA Great Lakes Forecasting System
• Generate 3d public domain model
• Use 3d model to support water intake risk assessment work
Water Quality and Ecosystemslight
Chl & TSM
DO
nutrients
NJDEP, EPA, Rutgers, MARACOOS
Gliders: Capture spatial features• DO Part of NJ water quality monitoring
• Unraveled causes and help predict predict low DO low DO in the Long Island Sound
Buoys: Capture high resolution temporal features• Unraveled controls of light penetration in Great Bay Estuary, NH helping protect critical eelgrass habitat through developing Nutrient CriteriaNutrient Criteria
Harmful Algal BloomsRapid Detection/Timely Forecasts
Range of ObservationsLifeguards w/smart phones, Shore stations, Moorings, Gliders, fluid imaging, Satellites
TechnologyDevelopmentACT workshopsNew sensors
Analysis and ModelilngNOAA Forecasts
Data source: N.N. Rabalais, Louisiana Universities Marine Consortium, R.E. Turner, Louisiana State University Funded by: NOAA, Center for Sponsored Coastal Research
Bottom Water Dissolved Oxygen in the Gulf of Mexico
Yield delivered to estuary from watershed, kg/yr/ha
Eutrophic, influenced by nitrogen input
Technology to Meet User Needs
Technology Trends:• Affordable and accurate physical and chemical sensors• Sensors deployed on multiple fixed and moving platforms • Real-time data and communications
Technology Needs:• Improved spatial and temporal coverage• Reliable/robust sensors (e.g., antifouling) that are easy to use• Bio- and geno-sensors (from marine mammals to microbes)
ACT supports IOOS by:• Independent third-party testing for technology
developers/manufacturers and users• Forum for communication and consensus on state of
technology and user needs• Coastal and ocean technology information clearinghouse
Water-Quality Data Exchange and Portal
Northeast Data Management and Portal
Research/ discovery
TrendsStatus Modeling ecol. impacts
Source attribution
Weather & Climate Assessments Forecasting Volunteer monitoring
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1988 1991 1997 2003
Year sampled
Cu (ppm) in oysters (IRL)
NOS/National Centers for Coastal Ocean ScienceWater Quality-Related Portfolio
Invasive species
National Water Quality Monitoring Network for U.S. Coastal Waters and Their Tributaries (“Network”)
Continuum of observations in:
Estuaries Near-shore waters Off-shore waters Great Lakes Coastal beaches Wetlands Flow and flux from streams, groundwater, atmosphere
Discussion Questions1. There are successes (in new technology and observation
capabilities, data integration and interoperability, scientific analysis and modeling and decision support tools) around the country – at the regional and national levels. How do we transform these successes into a sustained national effort? What’s working that can be expanded right now? What are the gaps/challenges that is preventing a national effort.
2. Data management provides a vehicle for the multitude of WQ providers to share data. How do we continue the progress made to date? How do we fund data management efforts? How to engage the broader interagency community and the larger community?