Shallow Water Monitoring Shallow Water Monitoring – We’re In It for the Long – We’re In It for the Long

HaulHaulBreakout Session - SynopsisBreakout Session - Synopsis

Monitoring and Analysis Subcommittee Workshop Monitoring and Analysis Subcommittee Workshop October 25, 2006October 25, 2006

Shallow Water MonitoringShallow Water Monitoring Breakout Breakout Session – Discussion IssuesSession – Discussion Issues

Primary goal of SWM Program is to assess new water Primary goal of SWM Program is to assess new water quality criteria BUT, there are many other critical uses as quality criteria BUT, there are many other critical uses as wellwell– Use in Bay Health IndicatorsUse in Bay Health Indicators– Measure progress towards criteria attainment, not just Measure progress towards criteria attainment, not just

attainment (need for sentinel stations, long-term trends, SWM attainment (need for sentinel stations, long-term trends, SWM program will not end after 2014/2015)program will not end after 2014/2015)

Evaluate SAV habitat criteria and potential SAV restoration Evaluate SAV habitat criteria and potential SAV restoration sitessites

Assess episodic eventsAssess episodic events Assess effectiveness of nutrient reduction strategiesAssess effectiveness of nutrient reduction strategies Understand estuarine ecosystems and processesUnderstand estuarine ecosystems and processes

Shallow Water Monitoring IssuesShallow Water Monitoring Issues

Schedule for segment assessmentsSchedule for segment assessments Segment prioritizationSegment prioritization Water clarity segment assessment – Water clarity segment assessment –

calibrating turbidity to Kd, CFD analysis calibrating turbidity to Kd, CFD analysis approachapproach

Dissolved oxygen – temporal Dissolved oxygen – temporal standardization and instantaneous criteria standardization and instantaneous criteria assessmentassessment

Chlorophyll Chlorophyll aa assessment – calibrating assessment – calibrating fluorescence to chlorophyll fluorescence to chlorophyll aa

SWM IssuesSWM Issues Agreed on SWM segment assessment Agreed on SWM segment assessment

schedule and segment prioritization schedule and segment prioritization scheduleschedule

Of remaining SWM issues for water Of remaining SWM issues for water clarity, DO and chlorophyll clarity, DO and chlorophyll assessments, water clarity is the assessments, water clarity is the most critical most critical

Water Clarity Assessment – Primary Goal for implementing SWM Program

Develop consistent Baywide methodology

Kd vs. turbidity – evaluate data at low end of Kd scale (Kd = 1.0); values at higher end of scale are in non compliance

Evaluate CFD approaches, different application depths

Water clarity acreage goal – function of segment size and historical SAV acreage goal – results can be misleading

CBP staff (John Wolf) evaluating various analysis

approaches using 2003-2005 MD and VA data

Chlorophyll a / Fluorescence Chlorophyll a / Fluorescence Measurement IssuesMeasurement Issues

Lower priority – continue to evaluate Lower priority – continue to evaluate baywide chlorophyll criteriabaywide chlorophyll criteria

CDOM impacts on chlorophyll – CDOM impacts on chlorophyll – evident in upper York River evident in upper York River tributariestributaries

Evaluate YSI CDOM sensorsEvaluate YSI CDOM sensors MD measures background MD measures background

fluorescnecefluorescnece

Develop a kDevelop a kdd model model

Using linear regression, USGS found that Using linear regression, USGS found that turbidity was the best single variable turbidity was the best single variable predictor of kpredictor of kdd at 5 of 10 sites (r at 5 of 10 sites (r22 from 0.23 from 0.23 to 0.62)to 0.62)

Turbidity was significant, but not best at Turbidity was significant, but not best at one siteone site

Other than turbidity, TP, DOC, salinity, TN, Other than turbidity, TP, DOC, salinity, TN, DIN, and TVS were found to good predictors DIN, and TVS were found to good predictors of kof kdd

VA found that in general, turbidity was the VA found that in general, turbidity was the best predictor of kbest predictor of kdd in their systems in their systems

Develop a post-calibration Develop a post-calibration chlorophyll modelchlorophyll model

Match extractive and YSI 6600 chlorophyllMatch extractive and YSI 6600 chlorophyll Outlier prediction model to remove dataOutlier prediction model to remove data Test for significant differences (adjust all Test for significant differences (adjust all

data, or only for significant differences?)data, or only for significant differences?) Geographical differencesGeographical differences Background fluorescence adjustmentBackground fluorescence adjustment Photo-inhibition (diel study conducted on Photo-inhibition (diel study conducted on

the Patuxent estuary)the Patuxent estuary)

Dissolved Oxygen IssuesDissolved Oxygen Issues Currently using fixed monitoring data to assess Currently using fixed monitoring data to assess

DO instantaneous minimumDO instantaneous minimum Continuous monitoring results are needed for Continuous monitoring results are needed for

instantaneous DO criteria, and to help develop instantaneous DO criteria, and to help develop logistic regression and spectral analysis models logistic regression and spectral analysis models for short term DO duration criteriafor short term DO duration criteria

Evaluate existing continuous monitoring sites – Evaluate existing continuous monitoring sites – 2006; preliminary results indicate that approx. 2006; preliminary results indicate that approx. 25% con. Mon. sites pass in DO criteria; this is 25% con. Mon. sites pass in DO criteria; this is similar to 30 day DO criteriasimilar to 30 day DO criteria

2007 - set up MD and VA con. mon. research 2007 - set up MD and VA con. mon. research funds to implement and evaluate spatially funds to implement and evaluate spatially intensive con. mon.intensive con. mon.

Virginia – 2006 Tidal Monitoring SitesVirginia – 2006 Tidal Monitoring Sites