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  • PhosphorusIndexProjectOverview:RefiningandHarmonizingPhosphorusIndicesintheChesapeakeBayRegiontoImproveCriticalSource

    AreaIdentificationandtoAddressNutrientManagementPriorities

    PresentedbyAmyS.CollickAgriculture,Food,andResourceSciencesUniversityofMarylandEasternShore(UMES)

  • CollaboratorsUniversityofMarylandEasternShore

    A.Allen,A.CollickPastureSystemsandWatershedManagementResearchUnit,USDAARS

    P.Kleinman,T.Veith,R.Bryant,T.Buda,J.Liu,M.AminPennsylvaniaStateUniversity

    D.Beegle,J.WeldVirginiaTech

    Z.Easton,D.Fuka,M.ReiterCornellUniversity

    Q.Ketterings,K.Czymmek,S.Cela,S.CrittendenUniversityofDelaware

    A.Shober,K.Clark,S.TingleWestVirginiaUniversity

    T.BasdenUniversityofKentucky

    J.McGrath

  • Spring Creek

    MahantangoCreek

    ConewagoCreek

    Allegheny PlateauDressler

    Run

    Nanticoke River(Bucks Branch)

    Upper Manokin

    River

    Factory Brook

    Valley & Ridge

    Piedmont

    Coastal Plain

    Shenandoah River

    ChesapeakeConservationInnovation GrantWatersheds

  • 1.Modelproving

    Monitoringdatabase

    3.Siteassessmenttool

    evaluation

    ProjectApproach

    Phosphorusroutines

    Alternativemodels

  • LessonsandAchievements

    ModelImprovement:Betterrepresentationofcriticalsourceareasandnutrienttransport

    Greaterunderstandingofchallenges/limitationsinmodelingPrisk

    Modelcomponentcomparisons(i.e.,erosion)topinpointwherechangesarelikelyneededinPindex

    Informedevaluationsandmodificationsbynutrientmanagementplannersandstakeholders

    Expandedandenhancedcollaborationsbetweenpartners

  • LessonsandAchievements

    ModelImprovement:Betterrepresentationofcriticalsourceareasandnutrienttransport

    Greaterunderstandingofchallenges/limitationsinmodelingPrisk

    Modelcomponentcomparisons(i.e.,erosion)topinpointwherechangesarelikelyneededinPindex

    Informedevaluationsandmodificationsbynutrientmanagementplannersandstakeholders

    Expandedandenhancedcollaborationsbetweenpartners

  • Valley & Ridge

  • This is what we must represent

    177

    144 44

    1

  • HydrologicRoutineTesting Mahantango Creek

    Similaroutletdischargehydrographs

    BetterspatialdistributionofrunoffwithTopoSWAT

    ImprovedidentificationofnutrientsourceswithTopoSWAT

    StandardSWAT

    WE38outletTopoSWAT

    Collick etal.,2014

  • Detailedfieldscalemodeling

    https://i.ytimg.com/vi/wx0SJM7FeEc/mqdefault.jpg

    http://www.extension.org/sites/default/files/w/4/4a/Spreading_manure.jpg

    PreprocessSWATtofieldscale Everyfieldcanhaveadifferentsetof

    practices Fieldspecificmanagementscenarios

  • Applicationrate

    Collicketal.JEQ,2016

    6000galac1

    9000galac1

    NewOld NewOld

    6

    3

    0

    RunofftotalPkgha1

    New

    Old

    RunofftotalPkgha1

    1/15 1/31 2/14

    0.1

    0

    0.26000galac1

    Field1 Field2

    Proutineupdatesarestronglysuggestedfor

    models

    Applicationtiming

  • 0.00

    0.25

    0.50

    0.75

    1.00

    1/1/2010 2/20/2010 4/11/2010

    0.0

    1.0

    2.0

    3.0

    4.0

    1/1/2010 2/20/2010 4/11/2010

    01020304050

    MeasuredOldNew

    Nomanureapplied

    Poultrylitterapplied,January(2tonsac1)

    Runo

    ffP,m

    gL1

    Rainfall,mm

    Runo

    ffP,m

    gL1

  • Nextgeneration:ForecastingmodelsSWATwithweatherforecasterWatershedstakeholderdecision

    supportsystemarchitecture

    Forecastrunoffrisks(6hrsto3days)acrossChesapeakeBaywatershed

    Provideinformationforlandmanagementdecisionmakingtoreducenonpointsourcepollutionrisks

    EnabledforsmartphonesandotherGPSenableddevices

    Sommerlot etal.,2016Env.Model.&Soft.

  • OurSolution

    StandardizedataaccessandbasedatasetsusingaBroker

    Nextgeneration:DataBrokering

    Fukaetal.,2016Env.Model.&Soft.

  • DataBrokeringinArcSWAT

  • LessonsandAchievements

    ModelImprovement:Betterrepresentationofcriticalsourceareasandnutrienttransport

    Greaterunderstandingofchallenges/limitationsinmodelingPrisk

    Modelcomponentcomparisons(i.e.,erosion)topinpointwherechangesarelikelyneededinPindex

    Informedevaluationsandmodificationsbynutrientmanagementplannersandstakeholders

    Expandedandenhancedcollaborationsbetweenpartners

  • Upper Manokin River, MD

    Coastal Plain

  • Flatterraininditchedcropfields,
  • 0 40 80 120 160 20020Meters

    0 40 80 120 160 20020Meters

    0 40 80 120 160 20020Meters

    0 40 80 120 160 20020Meters

    Figure:Thedelineationsofthefourditchesonthe1mLiDAR (A),3mNEDDEM(B)and10mNEDDEM(C).Onlythreedrainageareasareapparentfromthe10mDEM.

    A.1mDEM B.3mDEM

    C.10mDEM

    0 1 2 30.5Kilometers

    '4

    0 1 2 30.5Kilometers

    HUC12 Manokin River Taylor Branch

    10m DEM

    3m DEM

    UMES Experimental Farm

    D.Manokin Watershed

    Ditch5 Ditch7

    Ditch6

    Ditch8

    Ditch5 Ditch7

    Ditch6

    Ditch8

    Ditch5Ditch6&Ditch7

    Ditch8

    19

  • WaterBalanceModelingEfforts EarlyefforttoapplySWATtotheManokinwatershedatthechannelscaleattheUMESfarmusingthesedatasetstoparameterizethemodelinitializationandcorroboratethemodelresults

    However,theprocessesoccurringonthisflatterrain,thediscrepancyofflowinthefieldchannelscouldnotbeadequatelyrepresentedinSWAT

    Potentialtocouplewaterbalancemodelwithnutrientcyclingandtransportmodel

  • General field layout with field ditches and a schematic of the water balance model

    Viewfromabove Lateralview

    Themodel(Collicketal.,2006) seemsappropriateforManokin fields(thelowslopegradientmaystillcauseproblems),whicharedividedbyfielddrainageditchesthatflowintolargerpublicdrainageassociation(PDA)channels

  • Observedandmodeledflowcomparisons

  • TestingthecoastalplainPIndexDrainageintensityanddistancetodrains

    MajorityofPlossoccursinsubsurfaceflow Empirical work

    Geophysicaltechniques tomapshallowflowpaths

    ERInowsupportedbyNIFAfundsCIGproposalpendingforsubsurfaceprocesses

  • Factory Brook, NY

    Allegheny Plateau

  • FactoryBrook Limitedwatershedmonitoring

    TopoSWAT withoutcalibration Automationoffarmnutrient

    managementplandata APLEmodelcomparisonwitha

    largefarmfielddatasetfromacrossNewYork

  • ManagementScenarios:Manuretimingandmethodcomparisons

    0

    1

    2

    3

    4

    5

    6

    7

    8

    9Ap

    r08

    Jul0

    8

    Oct

    08

    Jan09

    Apr09

    Jul0

    9

    Oct

    09

    Jan10

    Apr10

    Jul1

    0

    Oct

    10

    Jan11

    Apr11

    Jul1

    1

    Oct

    11

    Jan12

    Apr12

    Jul1

    2

    Oct

    12

    Dissolved

    P,kgha

    1

    Spring,6000,surfaceapply

    Spring,6000,incorporationwithin1day

    Fall,6000,surfaceapply

  • DissolvedPloss

    ParticulatePloss

    % %Comparisonofapplicationmethod,sameamountofPapplied

    Spring, 6000, surface apply 100 100Spring, 6000, incorporation within 1 day 66 95Spring, 6000, injection 31 85Comparisonofsurfaceversusincorporationandinjection,sameNsupply

    Spring, 15500, surface apply 100 100Spring, 6000, incorporation within 1 day 23 52Spring, 6000, injection 11 47Comparisonforcovercropuse

    Fall, 6000, surface apply 100 100Fall, 6000, surface apply + cover crop 110 81

    RelativedifferencesbetweenmethodstobecomparedtoPindexcoefficients

    Ketterings etal.,2016inreview,JEQ

  • SpatialComparisonofPindexandTopoSWAT

    NYDissolvedPindex,2009

    NYParticulatePindex,2009

    Low

    Medium

    High

    VeryHigh

    SolublePinTopoSWAT,2009

    ParticulatePinTopoSWAT,2009

  • LessonsandAchievements

    ModelImprovement:Betterrepresentationofcriticalsourceareasandnutrienttransport

    Greaterunderstandingofchallenges/limitationsinmodelingPrisk

    Modelcomponentcomparisons(i.e.,erosion)topinpointwherechangesarelikelyneededinPindex

    Informedevaluationsandmodificationsbynutrientmanagementplannersandstakeholders

    Expandedandenhancedcollaborationsbetweenpartners

  • ScenariodevelopmentTestingthePIndexandSWAT

    Assessrangeofconditionsinphysiographicprovinces Simulatemanagementscenariosonrangeofrepresentativesites

    SWATFrameworkPennsylvaniaPindex

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    PLoss

    (M

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    orM

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