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![Page 1: Possible adaptation decisions from investigating the impacts of future climate change on food and water supply in China Lin Erda, Xu Yinlong, Ju Hui and.](https://reader036.fdocuments.us/reader036/viewer/2022062315/5697bfc81a28abf838ca89e9/html5/thumbnails/1.jpg)
Possible adaptation decisions from investigating the impacts of future climate change on food and water supply in China
Lin Erda, Xu Yinlong, Ju Hui and Xiong WeiAgro-environment and Sustainable
Development Institute, CAASZhang Silong
Water Information Centre, MOR
![Page 2: Possible adaptation decisions from investigating the impacts of future climate change on food and water supply in China Lin Erda, Xu Yinlong, Ju Hui and.](https://reader036.fdocuments.us/reader036/viewer/2022062315/5697bfc81a28abf838ca89e9/html5/thumbnails/2.jpg)
Global Warming and Its Impact
IPCC third assessment report identify an average increase in global temperature of 0.4~0.8 in past century℃Over the same period in China preliminary results show this temperature increase to be between 0.7~0.8 ,℃ the impacts of climate change in China were different and severe.
![Page 3: Possible adaptation decisions from investigating the impacts of future climate change on food and water supply in China Lin Erda, Xu Yinlong, Ju Hui and.](https://reader036.fdocuments.us/reader036/viewer/2022062315/5697bfc81a28abf838ca89e9/html5/thumbnails/3.jpg)
Global Warming and Its Impact
Global mean annual temperaturechange relative to preindustrial
20001950 2050 21000
1
2
3
4
5
6
Tem
per
atu
re a
no
maly
(o C
)
1900
Extreme andirreversible effects
Aggregate impacts
Distribution ofimpacts
Unique and threatened systems
Risks of large scalediscontinuitiesSome increase in extreme climate events
Small positive or negative net monetaryimpacts (most people adversely affected)
Net negative for some regions
Risks to some systems
Net negative monetary impacts
Net negative for many regions
Risks to many systems
Some increase in extreme climate events
Small positive or negative net monetary impacts (most people adversely affected)
Net negative for some regions
Risks to some systems
OB
SE
RV
ED
OB
SE
RV
ED Extreme and
irreversible effects
Aggregate impacts
Distribution ofimpacts
Unique and threatened systems
IMPACTS FOR HIGH WARMING SCENARIO
IMPACTS FOR LOW WARMING SCENARIO
IPCC High
IPCC Low
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China/UK Cooperation Project
The capacity of the Hadley Centre model to simulate the present climate in China has been validated with observed data. This has been used to develop climate change scenarios for China.
![Page 5: Possible adaptation decisions from investigating the impacts of future climate change on food and water supply in China Lin Erda, Xu Yinlong, Ju Hui and.](https://reader036.fdocuments.us/reader036/viewer/2022062315/5697bfc81a28abf838ca89e9/html5/thumbnails/5.jpg)
What is PRECIS?
PRECIS—Providing Regional Climates for Impacts StudiesPurpose 1: to develop the regional-level SRES climate scenarios over the worldPurpose 2: to provide the datasets for the impacts assessments of climate change at the regional-level
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A demo for RCM downscalingHadAM3H
PRECIS
A demo for RCM downscaling
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PRECIS has a strong ability to simulate daily precipitation
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Climate Change Scenarios based on
A2 –globally inhomogeneous economic development, with a continuous increase in the world’s population and a medium-high rise in greenhouse gas emissions.
B2 – regional sustainable development, with a slower (but continuous) increase in the world’s population and a medium–low rise in greenhouse gas emissions.
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75E 80E 85E 90E 95E 100E 105E 110E 115E 120E 125E 130E 135E
1.5 2 2.5 3 3.5 4 4.5 5 5.5
Simulated annual increase (C) in mean temperature (Tmean) for 2071–2079 under SRES A2 scenarios from PRECIS relative to baseline (1961–1990
![Page 10: Possible adaptation decisions from investigating the impacts of future climate change on food and water supply in China Lin Erda, Xu Yinlong, Ju Hui and.](https://reader036.fdocuments.us/reader036/viewer/2022062315/5697bfc81a28abf838ca89e9/html5/thumbnails/10.jpg)
75E 80E 85E 90E 95E 100E 105E 110E 115E 120E 125E 130E 135E
1.5 2 2.5 3 3.5 4 4.5 5 5.5
Simulated annual increase (C) in mean temperature (Tmean) for 2071–2079 under SRES B2 scenarios from PRECIS relative to baseline (1961–1990
![Page 11: Possible adaptation decisions from investigating the impacts of future climate change on food and water supply in China Lin Erda, Xu Yinlong, Ju Hui and.](https://reader036.fdocuments.us/reader036/viewer/2022062315/5697bfc81a28abf838ca89e9/html5/thumbnails/11.jpg)
Simulated average change in rainfall (mm/day) for 2071–2079 under SRES A2 scenarios from PRECIS relative to baseline (1961–1990)
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Simulated average change in rainfall (mm/day) for 2071–2079 under SRES B2 scenarios from PRECIS relative to baseline (1961–1990)
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A2 (medium–high emissions)
B2 (medium–low emissions)
Time period
Temperature increase
(C)
Rainfall increase (%)
CO2
(ppmv*)
Temperature increase
(C)
Rainfall increase (%)
CO2
(ppmv*)
2011~2020
1.00 3.3 440 1.16 3.7 429
2041~2050
2.11 7.0 559 2.20 7.0 492
2071~2080
3.89 12.9 721 3.20 10.2 561
Climate Scenarios by PRECIS for China
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Climate scenario trends in China by PRECIS
years Increased T (C)
Increased P
Trends
2021 1.117 3.87% -
2051 2.109 7.32% -
2071 3.035 6.88% dryer
2076 2.853 9.25% dryer
2081 3.102 10.76% dryer
2086 2.895 8.06% dryer
2090 3.422 5.49% dryer
![Page 15: Possible adaptation decisions from investigating the impacts of future climate change on food and water supply in China Lin Erda, Xu Yinlong, Ju Hui and.](https://reader036.fdocuments.us/reader036/viewer/2022062315/5697bfc81a28abf838ca89e9/html5/thumbnails/15.jpg)
Progress
A regional crop model is being developed for the whole of China.This has been linked to the climate model to predict changes in yield of Wheat, Rice, Corn and Cotton.
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Model Shell (Reading polygon input files, writing output files,Running model repeatedly based on the Polygon definition.)
Regional Crop Model
CERES
Soil polygon fileCrop variety polygon file
Socioeconomic polygon file
PRECIS
Biomass output Water output Growth output
Input files
Output files
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![Page 18: Possible adaptation decisions from investigating the impacts of future climate change on food and water supply in China Lin Erda, Xu Yinlong, Ju Hui and.](https://reader036.fdocuments.us/reader036/viewer/2022062315/5697bfc81a28abf838ca89e9/html5/thumbnails/18.jpg)
2080 Rice Yield Changes under A2,B2 Scenarios
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Current Wheat Area
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2080 Wheat Yield Changes under A2,B2 Scenarios
![Page 21: Possible adaptation decisions from investigating the impacts of future climate change on food and water supply in China Lin Erda, Xu Yinlong, Ju Hui and.](https://reader036.fdocuments.us/reader036/viewer/2022062315/5697bfc81a28abf838ca89e9/html5/thumbnails/21.jpg)
Current Maize Area
![Page 22: Possible adaptation decisions from investigating the impacts of future climate change on food and water supply in China Lin Erda, Xu Yinlong, Ju Hui and.](https://reader036.fdocuments.us/reader036/viewer/2022062315/5697bfc81a28abf838ca89e9/html5/thumbnails/22.jpg)
2080 Maize Yield Changes under A2,B2 Scenarios
![Page 23: Possible adaptation decisions from investigating the impacts of future climate change on food and water supply in China Lin Erda, Xu Yinlong, Ju Hui and.](https://reader036.fdocuments.us/reader036/viewer/2022062315/5697bfc81a28abf838ca89e9/html5/thumbnails/23.jpg)
Cottonyield.shp0,FM-A2-2040s-3271 - 600 kg/ha600 - 900 kg/ha900 - 1200 kg/ha1200 - 1500 kg/ha1500 - 1800 kg/ha1800 - 2100 kg/ha2100 - 2400 kg/ha2400 - 3000 kg/ha
Boundry.shpProvince.shp
N
EW
S
Cottonyield.shp0,FM-A2-2040s-5591 - 600 kg/ha600 - 900 kg/ha900 - 1200 kg/ha1200 - 1500 kg/ha1500 - 1800 kg/ha1800 - 2100 kg/ha2100 - 2400 kg/ha2400 - 3000 kg/ha
Boundry.shpProvince.shp
N
EW
S
2050 Cotton Yield Change under A2 Scenario
2050 Cotton Yield Change under B2 Scenario
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SOC changing in 2050 under A2 scenario
SOC changing in 2050 under B2 scenario
![Page 25: Possible adaptation decisions from investigating the impacts of future climate change on food and water supply in China Lin Erda, Xu Yinlong, Ju Hui and.](https://reader036.fdocuments.us/reader036/viewer/2022062315/5697bfc81a28abf838ca89e9/html5/thumbnails/25.jpg)
SOC changing in 2080 under A2 scenario
SOC changing in 2080 under B2 scenario
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Uncertainties of CO2 fertilization and Water availability
Change in average yield (%)*
With CO2 fertiliser effect Without CO2 fertiliser effect
2020s 2050s 2080s 2020s 2050s 2080s
A2: rainfed
9.8 18.4 20.3 -10.3 -22.8 –36.4
A2: irrigated
-0.6 -2.2 -2.8 -5.3 -11.9 –14.4
B2: rainfed
1.1 8.5 10.4 -11.3 -14.5 –26.9
B2: irrigated
-0.1 -1.3 -2.2 0.2 -0.4 –3.8
Projected changes in average maize yield compared with yield under baseline (1961–1990)
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Possible Adaptation for Agriculture• develop and promote use of CO2 fer
tilizing varieties• Promote irrigation and water-savin
g technologies• Adopt heat-resistant crops, water-e
fficient cultivars with resistance to pests and diseases
• adjust crop planting distribution based on getting warmer climate in Northeast China in next 20~30 years
• recover vegetation of grassland to avoid further desertification ; feeding animal with grass productivity
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Study on the Effect of CO2 Fertilization on wheat production
Interaction of 450, 550 and 650ppm CO2 and 1-3℃ warming represents positive or adverse effects on these crops
Using a CO2 Gradient Chamber to simulate the influence of the different raised CO2 concentration with the warming climate.
Long term treatments of high lever of CO2 concentration are taking on wheat rice and maize generations
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Change of soil moisture deficit (mm) <= -20-20 - 00 - 2020 - 4040 - 60> 60 No cropland or data
2050 Soil moisture deficit under A2 scenario
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Effect of climate change on Yellow River
• Recent 40 years, the observed runoff from the 6 largest rivers in China showed a decrease trend.
• The Huayuankou station of Yellow Reviver, with a decrease rate of 5.70 % per decade.
• Total runoff of the Yellow River catchment would decrease by 0.43 % per decade 。
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Runoff Deepness changes of 2071~ 2090 comparing with the baseline under B2 Scenarios
Results from VIC ( variable leakage capacity ) Model suggest the average runoff deepness in Ningxia, Gansu, Shaanxi, and Shanxi of of the Yellow River catchment may decrease 2 %~ 10 %。
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Province
2050 Water Supply(100M m3) 2050 Water Demands(100M m3)
Ground
Underground
transfer
others Total Prod
LiveEco
Total Different
Shanxi 32 38 4 13.3 87.3 59 17.5 10.8 87.3 0
Inner M.
140 104 17 14 275 207.7 17.8 68.4 293.9 -18.9
Henan 90 110 42 32 274 212.7 55.2 6.1 274 0
Shaanxi
55 40 9 19.1 123.1 84.4 21 17.7 123.1 0
Gansu 106 40 22 9.8 177.8 137.8 15.5 31.5 184.8 -7.0
Qinghai
106 10 1.5 3.5 121.0 30.7 5.8 84.5 121 0
Ningxia 80 8 6.4 5.8 100.2 102.4 4.2 1.1 107.7 -5.5
Water Demand and Supply of Selected Provinces
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Assess carrying capacity of water resources
Actively adopt water saving technologies to establish a water-saving community
Improve the water price system, apply used water and treated sea water
South-to North water diversion
Possible Adaptation for Water Use
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Conclusion
• Future climate change is almost unavoidable, adaptation should be most important
• Adaptation can hoist the danger lever due to suspend adverse impacts
• Incremental costs of adaptation could create a serious burden for developing countries
• Adaptation need international cooperation