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    International SWAT model Applications

    R. Srinivasan, J eff Arnold and Allan J onesBlackland Research Center and Spatial

    Sciences Laboratory Teams, USDA-ARS and Texas A&M University

    USDAARS and Texas A&M University System

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    Presentation Overview

    SWAT

    WatershedModelingBackground

    Proventechnology

    WorldwideApplications

    US Climate

    changeapplications

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    Continuous TimeDaily Time StepOne Day Hundreds of Years

    Distributed Parameter

    Comprehensive Process InteractionsSimulate Management Public Domain and free source codeMore than 1400 peer reviewed publication

    published worldwide (@200/year in the last3 years)

    Soil and Water Assessment Tool

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    Upland Processes

    SWAT Watershed System

    Channel/Flood PlainProcesses

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    Weather HydrologySedimentation

    Plant GrowthNutrient Cycling

    Pesticide DynamicsManagementBacteria

    Upland Processes

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    Root Zone

    Shallow(unconfined) Aquifer

    Vadose(unsaturated)

    Zone

    Confining Layer

    Deep (confined) Aquifer

    Precipitation

    Evaporation andTranspiration

    Infiltration/plant uptake/ Soilmoisture redistribution

    Surface Runoff

    Lateral Flow

    Return Flow

    Revap fromshallow aquifer Percolation toshallow aquifer

    Recharge todeep aquifer

    Flow out of watershed

    Hydrologic Balance

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    Root Zone

    Shallow(unconfined) Aquifer

    Vadose(unsaturated)

    Zone

    Confining Layer

    Deep (confined) Aquifer

    Precipitation

    Evaporation andTranspiration

    Infiltration/plant uptake

    Surface Runoff

    Lateral Flow

    Return Flow

    Revap fromshallow aquifer Percolation toshallow aquifer

    Recharge todeep aquifer

    Flow out of watershed

    Hydrologic Balance

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    2 10840

    0

    9

    6

    3

    12

    Month

    126

    Plant Growth

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    Water, NitrogenandPhosphorus Uptake

    Plant GrowthOptimum Growth

    Radiation Interception LAIRadiation Use Efficiency

    ConstraintsWater, Temperature, Nitrogen,Phosphorus

    Residue Cover and Nutrients

    Yield PredictionHarvest Index Water StressResidue Cover and

    Nutrients

    Root Growth

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    Climate Change

    Radiation Use EfficiencyAdjusted for CO 2

    ET Penman-MonteithCanopy ResistanceAdjusted for CO 2Impact on Leaf

    Conductance

    CGM Estimates of Precip, Temperature,Humidity, Solar Radiation,Wind Speed

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    Channel Processes

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    User Options PET:

    Penman-Monteith, Priestly-Taylor, or

    Hargreaves Runoff:

    Curve Number or Green Ampt

    Channel Flow:Variable Storage Coefficient or Muskingham-

    Cunge

    Channel Water Quality:QUAL2E On-Off Switch

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    More User Options ARC GIS 10 or 10.1

    Map Windows (Public Domain GIS) SWAT-CUP (Calibration and Uncertainty Program VIZSWAT (Output Vizualization)

    SWAT is linked to Modflow GW model SWAT real time irrigation advisory system Manuals in English, Spanish, Chinese, Korean SWAT 2003, 2005, 2009, (2012)

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    National ClimateChange Applications

    [email protected]

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    Change in Water Yield from Neutral for El Nino Condition by Season

    PNNL

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    Change in Water Yield from Neutral for Strong El Nino Condition by Season

    PNNL

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    Change in Water Yield from Neutral for La Nino Condition by Season

    PNNL

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    CLIMATE CHANGEAPPLICATIONS

    Fig. 3. Simulated baseline yields of winter wheat and changes from baseline in 2030and 2095 under the HadCM2 climate scenarios.

    PNNL

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    How everything started

    0 1000 2000 3000 4000 5000 - 1

    0 0

    0

    1 0 0

    2 0 0

    3 0 0

    4 0 0

    5 0 0

    6 0 0

    Water [m 3 cap a]

    N e t c e r e a l

    i m p o r t

    [ k g c a p a ]

    Afghanistan

    Algeria Armenia

    Azerbaijan

    Benin

    Burkina Faso

    Burundi China

    Egypt

    Eritrea

    Ethiopia Ghana

    India

    Iran

    Israel

    Japan

    Jordan

    Kenya

    Korea Dem People's Rep

    Korea RepLebanon

    Lesotho

    Libya

    Malawi

    MauritaniaMauritius

    Morocco

    Niger Nigeria

    Pakistan

    Rwanda

    Saudi Arabia

    Senegal

    Somalia

    South Africa

    Sri Lanka

    SyriaTanzania

    Togo

    Tunisia

    Turkey

    Uganda

    Emirates

    Uzbekistan

    Yemen

    Zimbabwe

    Yang et al., 2002

    Study determiningfreshwater availabilitthreshold by finding amodel that explainedcereal import

    Found that onenumber was notsufficient to representhe water availabilityof a country

    1980-1984: thick dashed blue line and open circles1994-1999: thick solid blue line and filled circles

    Eawag: SwissFederal Institute of

    Aquatic Scienceand Technology

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    Blue and green water

    Root Zone

    Shallow (unconfined)

    Aquifer

    Unsaturated Zone

    Confining Layer

    Deep (confined) Aquifer

    Precipitation

    Surface runoff Lateral Flow

    Return

    Flow

    Recharge to deepaquifer

    BLUEWATER

    Evaporation andTranspiration

    GREENWATER

    FLOW

    Soil water

    GREEN WATERSTORAGE

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    The continental pictureBlue water

    Green water flow

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    Nice model(s) and now?Making use of the obtainedinformation on the spatialand temporal variations ofthe sub-country-basedfreshwater availability inglobal and national strategicwater planning andmanagement e.g.advanced studiesconcerning

    water and food securityvirtual water flow

    scenario analysis

    effec ts of climate changeWater stress level as an indicator forwater scarcity

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    Average Drought frequency and length

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    The main goal in this study was to assess the feasibility of

    to alleviatevirtual water trade strategyapplying the water stress in Iran.

    Application in Iran

    Regional cropstructure

    adjustmentInter-provincialfood trade Socio-economicfactors

    improving regional/provincial

    and nationalwater productivity andWater use efficiency

    1. Main goal &Objectives

    2. Modeling blueand green water

    3. Assessing theimpact of climate

    4. Modeling wheatyield and CWP...

    5. Analysis o f Intra-country virtualWater trade... 6. Outlook

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    1. Main goal &Objectives

    2. Modeling blueand green water

    3. Assessing theimpact of climate

    4. Modeling wheatyield and CWP...

    5. Analysis o f Intra-country virtualWater trade... 6. Outlook

    DEM Landuse Soil Climate Reservoir AgricultureIran SWAT Project : 506 sub-basins

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    1. Main goal &Objectives

    2. Modeling blueand green water

    3. Assessing theimpact of climate

    4. Modeling wheatyield and CWP...

    5. Analysis o f Intra-country virtualWater trade... 6. Outlook

    Precipitation Blue water

    Green water flow Green water storage

    Hydrologic components (1980-2002)

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    1. Main goal &Objectives

    2. Modeling blueand green water

    3. Assessing theimpact of climate...

    4. Modeling wheatyield and CWP...

    5. Analysis o f Intra-country virtualWater trade... 6. Outlook

    Yield, ET, CWP (1990-2002)

    0

    200

    400

    600

    800

    1000

    1200

    Y a z d

    K e r m a n

    G h o m

    Z a n

    j a n

    K o r

    d e s t a n

    K h o r a s a n

    F a r s

    S i s t a n

    B a l u c h .

    M a r k a z

    i

    G h a z v i n

    H a m e d a n

    T e h r a n

    S e m n a n

    G o l e s t a n

    E T ( m m y e a r - 1

    )

    0.0

    0.2

    0.4

    0.6

    0.8

    1.0

    1.2

    C h a r m a h a l

    I i l a m

    G o l e s t a n

    E s f a h a n

    H o r m o z g a n

    a r b a i j a n

    _ W e s

    T e h r a n

    A r d e b

    i l

    F a r s

    M a r

    k a z i

    K h o z e s t a n

    S e m n a n

    h o r a s a n

    _ N o r

    t h

    M a z a n

    d a r a n

    a r b a i j a n

    _ E a s

    t

    Y a z

    d

    G h a z v

    i n

    H a m

    e d a n

    o r a s a n_

    S o u

    t h

    K e r m a n s

    h a h

    G h o m

    h o r a s a n

    _ C e n

    t r

    K e r m a n

    B u s h e h r

    L o r e s t a n

    K o r d e s

    t a n

    G i l a n

    Z a n

    j a n

    K o h g

    i l o y e

    h

    S i s t a n B a l u c

    h .

    C W P ( k g

    m - 3 )

    0.0

    1.0

    2.0

    3.0

    4.0

    5.0

    6.0

    1 9 9 0

    1 9 9 1

    1 9 9 2

    1 9 9 3

    1 9 9 4

    1 9 9 5

    1 9 9 6

    1 9 9 7

    1 9 9 8

    1 9 9 9

    2 0 0 0

    2 0 0 1

    2 0 0 2

    P_factor : 0.87Rm _factor : 0.37

    Golestan

    R a

    i n f e d y i e

    l d ( t o n

    h a - 1 )

    Date

    0.0

    1.0

    2.0

    3.0

    4.0

    5.0

    6.0

    1 9 9 0

    1 9 9 1

    1 9 9 2

    1 9 9 3

    1 9 9 4

    1 9 9 5

    1 9 9 6

    1 9 9 7

    1 9 9 8

    1 9 9 9

    2 0 0 0

    2 0 0 1

    2 0 0 2

    P_factor : 0.85Rm _factor : 0.17

    Khorasan

    I r r i g .

    y i e l d ( t o n

    h a - 1 )

    MOJA95PPU SWAT pred.

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    Irrigation Water

    Water availability

    0.0

    1.0

    2.0

    3.0

    4.0

    5.0

    6.0

    7.0

    8.0

    9.0

    10.0

    G h o m

    M a r

    k a z i

    A z a r

    b a i j a n

    _ E a s

    t

    G o l e s t a n

    K h o r a s a n

    S e m n a n

    Y a z d

    H a m

    e d a n

    K e r m a n

    T e h r a n

    S i s t a n

    B l u c

    h .

    Z a n

    j a n

    A r d e b

    i l

    M a z a n

    d a r a n

    E s f a h a n

    K h o z e s

    t a n

    G h a z v i n

    A z a r

    b a i j a n

    _ W e s

    H o r m o z g a n

    F a r s

    B u s h e h r

    G i l a n

    L o r e s

    t a n

    K e r m a n s

    h a h

    C h a r m a h a l

    K o r d e s

    t a n

    K o h g i l o y e

    h I i l a m

    Ratio > 100%40% < Ratio < 100%

    Ratio < 40%

    I R R / I R W R ( k m

    3 k m - 3 ) Irrigation efficiency = 15%-36%

    1. Main goal &Objectives

    2. Modeling blueand green water

    3. Assessing theimpact of climate...

    4. Modeling wheatyield and CWP...

    5. Analysis of Intra-country virtualWater trade... 6. Outlook

    Assessment of Water-use Sustainability

    0.0

    0.5

    1.0

    1.5

    2.0

    2.5

    3.0

    3.5

    4.0

    G h o m

    M a r k a z i

    a r b a i j a n

    _ E a s t

    G

    o l e s t a n

    K h o r a s a n

    S

    e m n a n

    Y a z d

    H a m e d a n

    K e r m a n

    T e h r a n

    S i s t a n B l u c h

    .

    Z a n j a n

    A r d e b i l

    M a z a n d a r a n

    E s f a h a n

    K h o z e s t a n

    G h a z v

    i n

    a r b a i j a n_ W e s t

    H o r m o z g a n

    F a r s

    B

    u s h e h r

    G i l a n

    L o r e s t a n

    K e r m a n s h a h

    C h a r m a h a l

    K o r d e s t a n

    K o h g i l o y e

    h

    I i l a m

    Ratio > 100%40% < Ratio < 100%Ratio < 40%

    E T / I R W R ( k m

    3 k m - 3 )

    Crop water use

    Water availability

    Irrigation efficiency = 100%

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    1. Main goal &Objectives

    2. Modeling blue andgreen water

    3. Assessing theimpact of climate...

    4. Modeling wheatyield and CWP...

    5. Analysis o f Intra-countryvirtual Water trade... 6. Outlook

    Intra-country Virtual Water Trade Strategy

    Conceptual model of inter-provincial VWT strategy in Iran

    CWP: 0.63 kg/m3

    Yield: 4.02 ton/haWater ?Land ?Socio-economic ?

    CWP: 0.45 kg/m3

    Yield: 2.85 ton/ha

    Calls for a systematic analysis throughmulti-criteria decision analysis techniques

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    thank you

    Questions?


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