south west university of science and technology introduction and application of the epic model wang...
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South West University of Science and Technology
Introduction and Application of the EPIC model
Wang Xue ChunSouth west university of science and technologyEmail :[email protected];[email protected]
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South west university of science and technology
Out Line
1 What can EPIC model do
3 Application of EPIC model
2 Which kind of data EPIC model need
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South west university of science and technology
1.What is EPIC model
Original name: Erosion Productivity Impact Calculator
Current name: Environment Policy integrated climate model
Birth place: Blackland Research & Extension Center
Birth day: 1984
Father: Jimmy R. Williams
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South west university of science and technology
1.What can EPIC model do ?
Calculate surface runoff and leaching
Simulate nutrition cycle in cropping system
Estimate dynamic change of soil water
Estimate crop yield/biomass
Simulate SOC
Evaluate the impacts of climate change on
crop yield, erosion, soil nutrition
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South west university of science and technology
3.What kind of data EPIC model need?
3.1 Soil data
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South west university of science and technology
3.What kind of data EPIC model need?
3.2 Daily or monthly weather data
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South west university of science and technology
3.What kind of data EPIC model need?
3.3 Crop data
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South west university of science and technology
3.What kind of data EPIC model need?
3.4 Others
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South west university of science and technology
3.What kind of data EPIC model need?
3.4 Others
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1977-1980 An experts team was appointed to build the EPIC model.
1984 the Erosion Productivity Impact Calculator (EPIC) model was developed
4. Development of EPIC model
2010 Incorporated GIS with EPIC model
1989 Improved and expanded crop growth sub-model
1991Enhanced root growth functions; Improved nitrogen fixation routine for legume crops; Incorporation of pesticide routines from GLEAMS model
1998Improved EPIC wind erosion model (WESS); Incorporation of Baier-Robertson PET routine
2004 Enhanced carbon cycling routine that is based on the Century model approach; Incorporation of a potassium (K) cycling routine
1995 Enhanced root growth functions; Improved nitrogen fixation routine for legume crops; Incorporation of pesticide routines from GLEAMS model
1997Incorporation of RUSLE water erosion equation; Improved snowmelt runoff and erosion component
1994 Incorporation of NRCS TR-55 peak runoff rate component; MUSS, MUST, and MUSI water erosion routines; nitrification-volatilization component
Future
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South west university of science and technology
5. World wide application of EPIC model
Authors Year Crops Area
Williams et al 1989 barley, corn, rice, soybean, sunflower, and wheat
Asia, France, America
Cabelguenne et al
1990-2001 corn, grain sorghum, sunflower, and soybean
Southern France
Bryant et al 1992 corn Bush land, Texas
Geleta et al 1994 corn, sorghum, and winter wheat
Oklahoma Panhandle
5.1 Crop growth and yields
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South west university of science and technology
5. World wide application of EPIC model
Authors Year Crops Area
Cavero et al. 1997-1999 tomato, safflower, and winter wheat
California
Roloff et al 1998 Soy bean Ontario; Quebec,
Chung et al 2001 corn, soybean, and alfalfa Lamberton, Minnesota
Perez-Quezada et al
2003 wheat, tomatoes, beans, and sunflowers
California
Li et al 2005 corn, winter wheat, Chinese pine, locust
The Loess Plateau, China
Wang et al 2008-2011 corn, wheat, apple, soybean, alfalfa, broom corn millet, foxtail millet
The Loess Plateau, China
5.1 Crop growth and yields
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South west university of science and technology
5. World wide application of EPIC model
5.2 impacts of climate change on crop production
Authors years Content Area
Izaurralde et al. Adams et alMeza and Wilks
199920032004
El Niño, El Viejo, or La Niña Southern Oscillation(ENSO) phenomena effects on crop yields
United StatesMexicoChile
Zhiqiang wang et al 2008 The impacts of climate change on winter wheat yield (historic weather data)
the North China Plain
Xuechun wang et al 2008-2011
The impacts of climate change on soil organic carbon. (RegCM)
The Loess Plateau, China
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South west university of science and technology
66
• build data base for crop model
•Evaluate crop model
• integrate
How can we do it based on EPIC model
•built climate model3
44
•Evaluate climate model
1
22
• built RG-EPIC model• built GIS map
5
7
8
99
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South west university of science and technology
5. World wide application of EPIC model
5.3 Irrigation amount and time
Authors Year Crops Area
Bryant et al 1992 corn Bush land, Texas
Ellis et al 1993 cotton Western Texas
Geleta et al 1994 corn, sorghum, and winter wheat
Oklahoma Panhandle
Tayfur et al 1995 alfalfa the Imperial Valley in California
Rinaldi et al 2001 sunflower Southern Italy
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South west university of science and technology
5. World wide application of EPIC model
5.3 Irrigation amount and time
Authors Year Crops Area
Bryant et al 1992 corn Bush land, Texas
Ellis et al 1993 cotton Western Texas
Geleta et al 1994 corn, sorghum, and winter wheat
Oklahoma Panhandle
Tayfur et al 1995 alfalfa the Imperial Valley in California
Rinaldi et al 2001 sunflower Southern Italy
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South west university of science and technology
5. World wide application of EPIC model
5.4 Nutrient cycle and fertilizer
Authors (year) Content Area
Engelke et al. (1991); Richter et al. (1996)
N leached, mineralized, immobilized, denitrified, and/or in plant uptake
Netherlands, UK
Edwards et al.(1994)
organic N; N and P in runoff; total P; poultry manure applied to 4 pastures
Northwestern Arkansas
Jackson et al. (1994)
N in soil, leached, and taken up by crop; Crisphead lettuce
Salinas Valley, California
Warner et al.(1997)
N in soil and taken up by crop; cont. corn Storrs, Connecticut
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South west university of science and technology
5. World wide application of EPIC model
5.4 Nutrient cycle and fertilizer
Authors (year) content area
Cavero et al. (1997-1999)
N in soil, leached, and taken up by crop; tomato, wheat, and safflower rotations
Sacramento Valley, California
Flowers et al.(1998)
organic N and P; N and P in runoff; Total N and P in runoff and sediment; N in tile flow; sorghum-cotton rotation
the Colorado Watershed
Chung et al. (1999)
Hydrologic balance, crop yield, and sediment; N leached and in runoff from fertilizer
southwest Iowa
Forster et al. (2000)
Sediment; N and P in runoff, organic N and P; fertilizer and manure applications
Muamee and Sanduskywatersheds,
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South west university of science and technology
5. World wide application of EPIC model
5.4 Nutrient cycle and fertilizer
Pierson et al. (2001)
Dissolved reactive P in runoff from applied broiler litter to 6 grassland paddocks
Georgia
Chung et al. (2001)
tile flow; N in soil, in tile flow, and takenup by crop; cont. corn, corn-soybean, cont. alfalfa
Lamberton, Minnesota
Chung et al. (2002)
tile flow; N in tile flow; cont. corn, corn-soybean
Nashua, Iowa
Wang et al Sustainable fertilizer level for winter wheat and spring corn
The Loess Plateau, China
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South west university of science and technology
5. World wide application of EPIC model
5.5 impacts of climate change on crop production
Authors years Content Area
Stockle et al 1992 potential climate change United States
Easterling et al; Phillips et al; Lee et al.
1990-2001
hypothetical climate/CO2 scenarios U.S. Corn BeltCorn and soybean
Brown and Rosenberg
1999 generated by GCMs United StatesCorn and wheat
Thomson, Brown,and Ghan
2002 the impact of a doubling of CO2 on dryland wheat yields
eastern Washington
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South west university of science and technology
5. World wide application of EPIC model
5.6 Simulation of SOC
Authors (year) content areas
Lee et al. 1993-1996 Estimate SOC under different climate scenarios and different tillage methods
U.S. Corn Belt
Mitchell et al (1998) The Impact of Soil ConservationPolicies on Carbon Sequestration in Agricultural Soils
United States
Roloff et al (1998) estimated total SOC content for a long-term spring wheat rotation
Saskatchewan
Campbell et al (2000)
estimate SOC reductions by water and wind erosion
Saskatchewan
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South west university of science and technology
5. World wide application of EPIC model
5.6 Simulation of SOC
Izaurralde et al. 2001-2004
Simulate soil carbon dynamics over a range of environmental conditions and cropping/vegetation and management systems
Nebraska, Kansas, Texas, Alberta
Zhao et al (2004) Dynamic change of SOC under different tillage methods
Iowa
Wang et al (2008-2011)
Effects of climate change on SOC for different cropping systems
The Loess Plateau, China
Xiaoning Zhao (2013) Simulating soil C dynamics in different cropping systems and under different tillage methods
Kansas, Texas