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Modeling Support Modeling Support for Monitoring Design for Monitoring Design Using Land Use Data to Evaluate Using Land Use Data to Evaluate Multiple-Objective Monitoring Multiple-Objective Monitoring Designs Designs John W. Hunt John W. Hunt University of California, Davis University of California, Davis Department of Environmental Toxicology Department of Environmental Toxicology Marine Pollution Studies Laboratory at Marine Pollution Studies Laboratory at Granite Canyon Granite Canyon

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Page 1: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

Modeling Support Modeling Support for Monitoring Designfor Monitoring Design

Using Land Use Data to Evaluate Using Land Use Data to Evaluate Multiple-Objective Monitoring DesignsMultiple-Objective Monitoring Designs

John W. HuntJohn W. HuntUniversity of California, DavisUniversity of California, DavisDepartment of Environmental ToxicologyDepartment of Environmental ToxicologyMarine Pollution Studies Laboratory at Granite CanyonMarine Pollution Studies Laboratory at Granite Canyon

Page 2: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

California’s Surface Water Ambient Monitoring Program

Statewide Assessment Framework(Stressors)

Page 3: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

SWAMPers:SWAMPers: Val Connor, Emilie Reyes, Karen Worcester, Val Connor, Emilie Reyes, Karen Worcester, Dave Paradies, Karen Taberski, Tom Suk, Rusty Dave Paradies, Karen Taberski, Tom Suk, Rusty Fairey, Max Puckett, Cassandra Lamerdin, Bev Fairey, Max Puckett, Cassandra Lamerdin, Bev van Buuren, Terry Flemming, Rainer Hoenickevan Buuren, Terry Flemming, Rainer Hoenicke

UC Davis:UC Davis: Brian Anderson, Bryn Phillips, Ron TjeerdemaBrian Anderson, Bryn Phillips, Ron Tjeerdema

UC Santa Cruz:UC Santa Cruz: Brent Haddad, Brian Fulfrost, Karen Holl, Carol Brent Haddad, Brian Fulfrost, Karen Holl, Carol Shennan, Russ FlegalShennan, Russ Flegal

Page 4: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis
Page 5: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

Nutrients

PesticidesSediment

Pathogens

IndustrialMetals

Page 6: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

UrbanGrazing

Fertilizer and Pesticide Applications

Poultry

Nutrients

PesticidesSediment

Pathogens

Hg Mines

IndustrialMetals

Page 7: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

Complexity

Precipitation

Hydrology

Terrain

Soils

Vegetation

Land Cover

Land Management

Page 8: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

California NPS Program Plan: California NPS Program Plan: 28 State Agencies28 State Agencies

State Water Resources Control Board9 Regional Water Quality Control Bds

CALFED Bay-Delta ProgramCalifornia Coastal CommissionSanta Monica Mountains

ConservancySF Bay Conservation and

Development CommissionState Coastal ConservancyState Lands CommissionCalifornia Integrated Waste

Management BoardUS Environmental Protection Agency

Region 9

California Departments of Boating and WaterwaysConservationFish and GameFood and AgricultureForestry and Fire ProtectionHealth ServicesParks and RecreationPesticide RegulationToxic Substances ControlTransportationWater Resources

Bond Fund Grantees

SWAMP

Page 9: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

All of these agencies useAll of these agencies usewater quality information to make water quality information to make resource management decisions.resource management decisions.

Monitoring to meet multiple objectivesMonitoring to meet multiple objectives

Page 10: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

Water Quality InformationWater Quality Information

DecisionDecision: What? Who? How? When?: What? Who? How? When?

Assessment questionsAssessment questions Ecological attributesEcological attributes Spatial and temporal scalesSpatial and temporal scales Indicators and benchmarksIndicators and benchmarks Data quality and level of uncertaintyData quality and level of uncertainty Monitoring objectivesMonitoring objectives Monitoring designsMonitoring designs Sampling plansSampling plans

Page 11: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

Assessment Questions and Assessment Questions and Legal (Public) MandatesLegal (Public) Mandates

Beneficial use benchmarksBeneficial use benchmarks (CWA § 303[c]) (CWA § 303[c])

Standards attainmentStandards attainment (§ 305[b]) (§ 305[b])

Impaired water body listingImpaired water body listing (§ 303[d]) (§ 303[d])

Cause & source identificationCause & source identification (§ 303[d], 305[b]) (§ 303[d], 305[b])

Management implementationManagement implementation (§ 303, 314, 319) (§ 303, 314, 319)

Program effectivenessProgram effectiveness (§ 303, 305, 402, 314, 319) (§ 303, 305, 402, 314, 319)

Basin planning activitiesBasin planning activities (California Water Code) (California Water Code)

Page 12: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

Assessment QuestionsAssessment Questions

Status of waterwaysStatus of waterways (SWRCB) (SWRCB)

Trends over timeTrends over time (SWRCB) (SWRCB)

Causes of impairmentCauses of impairment (Reg Bds) (Reg Bds)

Sources of stressorsSources of stressors (Reg Bds) (Reg Bds)

Program evaluationProgram evaluation (All) (All)

Page 13: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

Assessment QuestionsAssessment Questions

Status of waterwaysStatus of waterways (statewide) (statewide)

Trends over timeTrends over time (statewide) (statewide)

Causes of impairmentCauses of impairment (local) (local)

Sources of stressorsSources of stressors (watershed) (watershed)

Program evaluationProgram evaluation (All) (All)

Page 14: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

Assessment QuestionsAssessment Questions

Status of waterwaysStatus of waterways (probabilistic) (probabilistic)

Trends over timeTrends over time (fixed site) (fixed site)

Causes of impairmentCauses of impairment (gradient) (gradient)

Sources of stressorsSources of stressors (tributary network) (tributary network)

Program evaluationProgram evaluation (All, over time) (All, over time)

Page 15: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis
Page 16: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

Control (N+1)Focal (N)Mechanistic (N+1)

Hierarchies based on Process RatesHierarchies based on Process Rates

FastFast

SlowSlow

SmallSmall LargeLarge

TimeTime

SpaceSpace

OrganismOrganism

LandscapeLandscape

EcosystemEcosystem

CommunityCommunity

PopulationPopulation

SpeciesSpecies

Page 17: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

Hierarchies based on Process RatesHierarchies based on Process Rates

FastFast

SlowSlow

SmallSmall LargeLarge

TimeTime

SpaceSpace

OrganismOrganism

LandscapeLandscape

EcosystemEcosystem

CommunityCommunity

PopulationPopulation

SpeciesSpecies

Flow of Inference

Page 18: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

Hierarchies based on Process RatesHierarchies based on Process Rates

FastFast

SlowSlow

SmallSmall LargeLarge

TimeTime

SpaceSpace

FurrowFurrow

Hydrologic RegionHydrologic Region

WatershedWatershed

RiverRiver

TributaryTributary

StormdrainStormdrain

Flow of Inference

Page 19: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

IntegrateIntegrate regional data into regional data into statewide assessmentsstatewide assessments

Status and TrendsStatus and Trends probabilistic sampling: probabilistic sampling:stratification, clustering, proportional, spatially balancedstratification, clustering, proportional, spatially balanced

Regional Cause and SourceRegional Cause and Source: gradients and networks : gradients and networks arrayed around probability sites from statewide designarrayed around probability sites from statewide design

Design criteriaDesign criteria for regional assessments? for regional assessments?

Page 20: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

AggregateAggregateUpUp

Page 21: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

Testing Candidate Designs against Testing Candidate Designs against Expected Values from ModelsExpected Values from Models

Page 22: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

Testing Candidate Designs against Testing Candidate Designs against Expected Values from ModelsExpected Values from Models

EPA BASINSEPA BASINS software system software system

SWATSWAT:: predicts pollutant yields from land usepredicts pollutant yields from land use

WinHSPFWinHSPF:: water concentrations from NPS loadingswater concentrations from NPS loadings

PLOADPLOAD:: annual average NPS loads per chemicalannual average NPS loads per chemical

QUAL2EQUAL2E:: pollutant transport within stream channels.pollutant transport within stream channels.

Page 23: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

Testing Candidate Designs against Testing Candidate Designs against Expected Values from ModelsExpected Values from Models

EPA BASINSEPA BASINS software system software system

SWATSWAT:: predicts pollutant yields from land usepredicts pollutant yields from land use

WinHSPFWinHSPF:: water concentrations from NPS loadingswater concentrations from NPS loadings

PLOADPLOAD:: annual average NPS loads per chemicalannual average NPS loads per chemical

QUAL2EQUAL2E:: pollutant transport within stream channels.pollutant transport within stream channels.

GeoreferencedGeoreferenced CalibrationCalibration ValidationValidation

Page 24: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

Target StressorsTarget Stressors CopperCopper in streambed sediment in streambed sediment ChlordanesChlordanes in streambed sediment in streambed sediment NitrateNitrate in stream water in stream water DiazinonDiazinon in water and sediment in water and sediment

Page 25: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

Target StressorsTarget Stressors CopperCopper in streambed sediment in streambed sediment ChlordanesChlordanes in streambed sediment in streambed sediment NitrateNitrate in stream water in stream water DiazinonDiazinon in water and sediment in water and sediment

frequently on 303[d] lists throughout the frequently on 303[d] lists throughout the state;state; commonly measured in monitoring programs;commonly measured in monitoring programs; range of physico-chemical properties; range of physico-chemical properties; multiple source activities;multiple source activities; previous water quality modeling studies.previous water quality modeling studies.

Page 26: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

Fill the Reach File 3 stream segments with expected stressor concentrations.

Page 27: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

Fill the Reach File 3 stream segments with expected stressor concentrations.

Virtual sampling:Apply iterations of monitoring designs

m

Page 28: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

Fill the Reach File 3 stream segments with expected stressor concentrations.

Virtual sampling:Apply iterations of monitoring designs

m

Page 29: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

Fill the Reach File 3 stream segments with expected stressor concentrations.

Virtual sampling:Apply iterations of monitoring designs

m

Page 30: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

Monitoring Design EvaluationMonitoring Design Evaluation

Compare known impairment (model derived) with Compare known impairment (model derived) with observed impairment (from virtual sampling):observed impairment (from virtual sampling):

What proportion of “known” standards What proportion of “known” standards exceedences were observed?exceedences were observed?

What proportion of “known” tributary pathways What proportion of “known” tributary pathways were discovered?were discovered?

Page 31: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

Intended Benefits of this ApproachIntended Benefits of this Approach

Process to consolidate disparate types of data: Process to consolidate disparate types of data: land use layers with water quality measurements; land use layers with water quality measurements;

Maps to target future monitoring; Maps to target future monitoring;

Evaluation of potential monitoring designs.Evaluation of potential monitoring designs.

Page 32: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

Pilot Study

Land Use:Pesticide Application

Water Quality:In-stream pesticides and toxicity

Central Coast

Page 33: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

0.001

0.01

0.1

1

10

10 100 1000 10000

Log Chlorpyrifos plus Diazinon Applied (kg)

Log

OP

s in

Wat

er (

ug/L

) SA

Land Use and Water Chemistry

Page 34: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

0.00

0.20

0.40

0.60

0.80

1.00

0 2000 4000 6000 8000 10000 12000

Diazinon + Chlorpyrifos Applied (lbs)

C.

Du

bia

S

urv

ival

Land Use and Water Toxicity

Page 35: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis

0.00

0.20

0.40

0.60

0.80

1.00

1.20

0 2000 4000 6000 8000 10000 12000

Organophosphate Pesticides Applied (lbs)

Hya

lell

a S

urv

ival

Land Use and Sediment Toxicity

Page 36: Modeling Support for Monitoring Design Using Land Use Data to Evaluate Multiple-Objective Monitoring Designs John W. Hunt University of California, Davis