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U.S. IOOS contributions to U.S. IOOS contributions to

U.S. IOOS contributions to - PowerPoint Presentation

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U.S. IOOS contributions to - PPT Presentation

monitoring water quality including nutrients and harmful algal blooms Ru Morrison Josie Quintrell Rebecca Baltes Gabrielle CanonicoHyde Mario Tamburri A tool that enables the Nation to track predict manage and adapt to changes in our marine environment and delivers critical in ID: 562152

2012 water model ocean water 2012 ocean model ioos quality hypoxia situ beach coastal sensors system rabalais ysi noaa

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Slide1

U.S. IOOS contributions to

monitoring water qualityincluding nutrients andharmful algal blooms.

Ru Morrison

,

Josie Quintrell, Rebecca

Baltes,

Gabrielle Canonico-Hyde, Mario TamburriSlide2

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 environmentSlide3

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)Slide4

IOOS National User Needs Synthesis

4Coastal, beach and nearshore

hazards

Marine Operations

Water Quality

Ecosystems and Fisheries

Long term trends

http://

www.ioosassociation.orgSlide5

Water Quality

5Water QualitySlide6

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

pCO

2

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, YSISlide7

Transitioning into operations

Nutrients Performance Demonstrations

Mario Tamburri, tamburri@umces.eduSlide8

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

, 2007

20,500 km

2

, 7900 mi

2Slide9

Data source: N.N.

Rabalais

, Louisiana Universities Marine Consortium, R.E. Turner, Louisiana State University

Funded by: NOAA, Center for Sponsored Coastal Ocean Research

Area of Mid-Summer Bottom Water Hypoxia

(Dissolved Oxygen < 2.0 mg/L)

Square miles

2012

2013

n.d.Slide10

Data source:

N. Rabalais, LUMCON

Dissolved Oxygen at 20 m, Station C6C

Wind mixing events

Different responses at bottom

June 2012

Dissolved oxygen (mg l

-1

)Slide11

Imaging FlowCytobot (IFCB)

Original design New design As deployed at UTMSI 9/2007-3/2012 Vandalism damage 201211

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 UniversitySlide12

Early detection of HABs with IFCB

IFCB has provided early warning of 6 HAB events: no illnesses reportedDinophysis ovum in 2008, 2010, 2011, 2012Karenia brevis in 2009 and 2011Campbell Lab has implemented automated downloading, processing, and classificationEarly 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 JochensSlide13

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, GLOSSlide14

SCCOOS and CeNCOOS

Involvement with the 2012 Orange County Sanitation District (OCSD) Diversionhttp://www.sccoos.org/projects/ocsd-diversion/Slide15

Previous/Ongoing SCCOOS Water Quality Projects

1. 2006 City of Los Angeles Hyperion Ocean Outfall Diversion2. Tijuana River Plume Tracking 3. Case Study: Areas of Special B

iological Significance (ASBS)

Danielle Williams and Julie Thomas, SCOOSSlide16

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 developmen

t

Who is doing it:

A partnership among beach managers, tourism interests,

public health officials and the general public including…

3.) Model validation

4.) Operational support toolSlide17

Current activities - Beach advisory modeling

Dwayne Porter

, porter@sc.edu Slide18

18

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 Hypoxia

U.S.IOOS Coastal Ocean Modeling

Testbed

, 2010-2012Slide19

Helping develop nutrient criteria

19NERACOOS 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 complianceSlide20

Acknowledgements

Thanks 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!