Transcript Document

Introduction and Application
of the EPIC model
Wang Xue Chun
South west university of science
and technology
Email：
[email protected];
[email protected]
South West University of Science and Technology
Out Line
What can EPIC model do
1
2
3
Which kind of data EPIC model need
Application of EPIC model
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
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
South west university of science and technology
3.What kind of data EPIC model need?
3.1 Soil data
South west university of science and technology
3.What kind of data EPIC model need?
3.2 Daily or monthly weather data
South west university of science and technology
3.What kind of data EPIC model need?
3.3 Crop data
South west university of science and technology
3.What kind of data EPIC model need?
3.4 Others
South west university of science and technology
3.What kind of data EPIC model need?
3.4 Others
South west university of science and technology
4. Development of EPIC model
Future
2010
Incorporated GIS with EPIC model
2004
Enhanced carbon cycling routine that is based on the Century model
approach; Incorporation of a potassium (K) cycling routine
1998
1997
1995
1994
1991
1989
1984
1977-1980
Improved EPIC wind erosion model (WESS); Incorporation of BaierRobertson PET routine
Incorporation of RUSLE water erosion equation; Improved snowmelt
runoff and erosion component
Enhanced root growth functions; Improved nitrogen fixation routine for
legume crops; Incorporation of pesticide routines from GLEAMS model
Incorporation of NRCS TR-55 peak runoff rate component; MUSS, MUST,
and MUSI water erosion routines; nitrification-volatilization component
Enhanced root growth functions; Improved nitrogen fixation routine for
legume crops; Incorporation of pesticide routines from GLEAMS model
Improved and expanded crop growth sub-model
the Erosion Productivity Impact Calculator
(EPIC) model was developed
An experts team was appointed to build the
EPIC model.
5. World wide application of EPIC model
5.1 Crop growth and yields
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, Southern France
and soybean
Bryant et al
1992
corn
Bush land, Texas
Geleta et al
1994
corn, sorghum, and winter
wheat
Oklahoma
Panhandle
South west university of science and technology
5. World wide application of EPIC model
5.1 Crop growth and yields
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, The Loess Plateau,
broom corn millet, foxtail millet
China
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 al
Meza and Wilks
1999
2003
2004
El Niño, El Viejo, or La Niña
Southern Oscillation
(ENSO) phenomena effects on crop
yields
United States
Mexico
Chile
Zhiqiang wang et al
2008
The impacts of climate change on
the North China
winter wheat yield (historic weather Plain
data)
Xuechun wang et al
20082011
The impacts of climate change on
soil organic carbon. (RegCM)
The Loess Plateau,
China
South west university of science and technology
How can we do it based on EPIC model
•Evaluate climate model
4
3
•built climate model
5 • integrate
• built GIS map
6
• built RG-EPIC model
9
•Evaluate crop model
2
1
• build data base for crop model
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
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
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, Netherlands,
and/or in plant uptake
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
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; southwest Iowa
N leached and in runoff from fertilizer
Forster et al.
(2000)
Sediment; N and P in runoff, organic N and
P; fertilizer and manure applications
Muamee and
Sandusky
watersheds,
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 taken
up by crop; cont. corn, corn-soybean, cont.
alfalfa
Lamberton,
Minnesota
Chung et al.
(2002)
tile flow; N in tile flow; cont. corn, cornsoybean
Nashua, Iowa
Wang et al
Sustainable fertilizer level for winter wheat
and spring corn
The Loess Plateau,
China
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.
19902001
hypothetical climate/CO2 scenarios
U.S. Corn Belt
Corn and soybean
Brown and
Rosenberg
1999
generated by GCMs
United States
Corn and wheat
Thomson, Brown,
and Ghan
2002
the impact of a doubling of CO2 on
dryland wheat yields
eastern
Washington
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 Conservation
Policies on Carbon Sequestration in
Agricultural Soils
United States
Roloff et al (1998)
estimated total SOC content for a longterm spring wheat rotation
Saskatchewan
Campbell et al (2000) estimate SOC reductions by water and
wind erosion
Saskatchewan
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 (20082011)
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
South west university of science and technology