U.S. IOOS contributions tomonitoring water qualityincluding nutrients andharmful algal blooms.

Ru Morrison, Josie Quintrell, Rebecca Baltes, Gabrielle

Canonico-Hyde, Mario Tamburri

• A tool that enables the Nation to track, predict, manage and adapt to changes in our marine environment and delivers critical information to decision makers to…

US Integrated Ocean Observing System (IOOS)

Improve safety Enhance our economy

Protect our environment

Education

Global Component: Global Ocean Observing System

Regional Component: 11 Regional Associations

National Component: Composed of 17 U.S. Federal Agencies

US Integrated Ocean Observing System (IOOS)

IOOS National User Needs Synthesis

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Coastal, beach and nearshore hazards

Marine Operations

Water Quality

Ecosystems and

Fisheries Long term trends

http://www.ioosassociation.org

Water Quality

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Water Quality

Performance Verifications/Demonstrations DO Sensors (2004) - Aanderaa (optode), Greenspan

(galvanic cell), In-Situ (optode), YSI (Clark cell)

Chl-a Fluorometers (2005) - bbe Moldaenke, Chelsea (2), Hydrolab, Turner (2), WET Labs, YSI

Turbidity Sensors (2006) - Aquatec, In-Situ, McVan, WET Labs, YSI

Nutrient Analyzers (2007) - American EcoTech, Satlantic, WET Labs, YSI

C-T Sensors for In Situ Salinity (2008) - Aanderaa, Campbell, Falmouth, Greenspan, In-Situ, RBR, Rockland, YSI

pCO2 Analyzers (2009/2010) - Contros, NOAA/PMEL

(Battelle), Pro-Oceanus, Sunburst, YSI

Hydrocarbon Sensors (2011) - Aquatec, Chelsea (3), Hach, S:can, Turner Designs, and WET Labs

pH Sensors (2012/2013) - Aanderaa, Campbell, Idronaut, In-Situ, Satlantic, Sunburst, YSI

Transitioning into operationsGreat Lakes Mooring Test: YSI

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)Nutrients Performance Demonstrations

Mario Tamburri, tamburri@umces.edu

Data source: N. N. Rabalais, Louisiana Universities Marine Consortium, and R. E. Turner, Louisiana State UniversityFunding from: National Oceanic and Atmospheric Administration, Center for Sponsored Coastal Ocean Research

http://www.gulfhypoxia.net

Bottom-Water Hypoxia (< 2mg/L) July, 200720,500 km2, 7900 mi2

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Data source: N.N. Rabalais, Louisiana Universities Marine Consortium, R.E. Turner, Louisiana State UniversityFunded by: NOAA, Center for Sponsored Coastal Ocean Research

Area of Mid-Summer Bottom Water Hypoxia(Dissolved Oxygen < 2.0 mg/L)

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Data source: N. Rabalais, LUMCON

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Imaging FlowCytobot (IFCB)

Original design New design As deployed at UTMSI 9/2007-3/2012 Vandalism damage 2012

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• A new IFCB has been built and was deployed at UTMSI in August 2012

• The new design is smaller and lighter and more robust

• Deployed “in the can” in pier lab for improved stability.

a continuous, automated phytoplankton imaging system

Dr. Lisa Campbell, Texas A&M University

Early detection of HABs with IFCB• IFCB has provided early warning

of 6 HAB events: no illnesses reported– Dinophysis ovum in 2008, 2010,

2011, 2012– Karenia brevis in 2009 and 2011

• Campbell Lab has implemented automated downloading, processing, and classification

• Early warning email notifications* are sent to TPWD and DSHS within 4 h of sampling if cell counts > 2/mL

*not manually verified

Dinophysis ovum Karenia brevis

Sample email message sent in 2011

Ann Jochens

Drinking Water Quality: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

Kelli Page and Jenn Read, GLOS

SCCOOS and CeNCOOS Involvement with the 2012 Orange County Sanitation District (OCSD) Diversion

http://www.sccoos.org/projects/ocsd-diversion/

Previous/Ongoing SCCOOS Water Quality Projects

1. 2006 City of Los Angeles Hyperion Ocean Outfall Diversion

2. Tijuana River Plume Tracking

3. Case Study: Areas of Special Biological Significance (ASBS)

Danielle Williams and Julie Thomas, SCOOS

Supporting Beach Swimming Advisory Decision Making

Issue: Exposure to beach swimming waters with elevated bacterial levels is a public health concern and one of economic vitality.

Goal: Develop and implement scientifically-justified, decision-support tools for accurate and defensible preemptive advisory issuance decisions.

Process:1.) Data integration and fusion

2.) Ensemble model development

Who is doing it: A partnership among beach managers, tourism interests, public health officials and the general public including…

Level 1

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3.) Model validation

4.) Operational support tool

Current activities - Beach advisory modeling

Dwayne Porter, porter@sc.edu

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Gulf of Maine / Scituate Harbor - Extratropical Domain

Salinity maps for coastal ROMS, NOAA GOM, NRL IASNFS and NRL/FSU HCOM Gulf, http://pong.tamu.edu/~mma/sura/anims_models.php

• Improving Collaboration• Improving Data• Model Development • Supporting Operations• Biogeochemical operating

equations transitioned to FVCOM community modeling group in CSDL

Shelf Hypoxia

• Transitioning information to federal agencies

• Model Comparison• Conducting sensitivity

experiments • New, single term hypoxia

model

Estuarine HypoxiaU.S.IOOS Coastal Ocean Modeling Testbed, 2010-2012

Helping develop nutrient criteria

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• NERACOOS Buoy Observations in the Great Bay Estuary, NH part of the strategy to develop nutrient criteria based on protecting eelgrass habitat

• Provided important information on water clarity• Autonomous nutrient measurements• Nutrient monitoring an important part of new

municipal waste treatment compliance

AcknowledgementsThanks to:

– Josie Quintrell, Gabrielle Canonico-Hyde, Mario Tamburri, Becky Baltes,

– Nancy Rabalais, Dwayne Porter, Kelli Page, Jenn Read, Ann Jochens

– And everyone else from the IOOS Regions, Program Office, and Association who did all the real work!