The SWAT ModelMauro Di Luzio, TAES-BREC

Blackland Research and Extension Center, Temple, TX

Jeff Arnold, USDA-ARSGrassland Research and Extension Center, Temple, TX

Jerry Whittaker, USDA-ARSNational Forage Seed Production Research Center, Corvallis,

OR

Rem Confesor, Oregon State UniversityNational Forage Seed Production Research Center, Corvallis,

OR

The Distributed Model Intercomparison Project (DMIP-2) Workshop

Hydrology Laboratory National Weather ServiceSeptember 10-12, 2007

Silver Spring, MD

ARS

Soil and Water Assessment ToolArnold et al. (1998)

SWAT is a product of over 30 years of USDA model development

History Time Line

CREAMS USLE (CLEAN WATER ACT) EPIC SWRRB SWAT

1960’s 1970’s 1980’s 1990’s

GLEAMS WEPP ANN AGNPS AGNPS

Partnership – Texas A&M, ARS, EPA, NRCSDeveloping models, GIS, databases, applications

Worldwide User Community

Widely used for water quality

TMDL Applications

Bosque River – Dairy Waste, Agriculture

Range, Treatment Plants Wisconsin – Nitrogen and Phosphorus Texas – Atrazine Missouri – Atrazine Oklahoma – Nutrients Nehalem River – OR Cannonsville Reservoir – NY ………….

ConservationEffects

AssessmentProject

C.E.A.P.—the acronym

SWAT River Basin ModelRiver Routing and Non-Cultivated Lands

CEAP National

• Channel routing: Muskingum routing method.

Di Luzio et al., 2004

Used Data• DEM 1 arc-second (30 m) USGS NED • LandUse/Land Cover NLCD 1992 (National Land Cover

Dataset) (30 m)21 classes

• Soil Map STATSGO (State Soil Geographic) 1:250,000-scale

• Hydrography NHD (National Hydrography Dataset)

• Precipitation NEXRAD DMIP2(Hourly Time Step)

• Temperature NCDC Cooperative Network (daily)

Elk River (119)

Baron Fork (41)

Illinois River (129, 78)

Blue River (55)

The Blue River near Blue, Oklahoma(1,233 Square Km)

DMIP1

• Single objective measure: sum of square of the residuals (SSQ).

• Optimization algorithm: Shuffled Complex Evolution Method (SCE)

(Duan, 1991; Sorooshian et al., 1993).

Automatic Calibration

DMIP1

Event 2, November 12–27, 1994

Event 6, September 17 – 24, 1995

Event 7, September 26–October 11, 1996

Event 9, November 6–21, 1996

DMIP1

Optimization of Multiple ObjectivesOptimization of Multiple Objectives

Objective 2

Objective 1

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*

*

*

*

*

**

*

Objective 1: RMSE of driven flow

20 21 22 23 24 25 26 27 28

Obje

ctiv

e 2:

RM

SE

of non-d

rive

n flo

w

5

6

7

8

9

10

11

12

13

14

1st iteration

20th iteration50th iteration

500th iteration

AVSWAT2000default parameters

• 24 Pentium 4 processors (2.4 GHz) 1 GB of RAM,– 12 with hyperthreading technology

• 24 port, 1 gigabit/second ethernet switch

• Integrated INTEL 10/100/1000 Mbps network interface card

• 24 ports - KVM switches

• Linux, Fedora Core2, kernel version 2.6.5smp

NFSPRC Beowulf ClusterNFSPRC Beowulf Cluster

• Tahlequa 9,228 40 variables, 129 sub-basins, 419 HRU

• Blue 4,198

• Baron 3,422

• Elk 7,946

• Illinois 4,893

Number of calibration parametersNumber of calibration parameters

Thanks!

Questions?