Climate change risk and its integrated governance Peijun Shi 1,2,3 , Shao Sun 1,2,3 ,Qian Ye 1 Daoyi Gong 1 , Tao Zhou 1 1.State Key Laboratory of Earth Surface Processes and Resource Ecology 2. Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education 3.Academy of Disaster Reduction and Emergency Management, MoCA & MoE Beijing Normal University Beijing, China [email protected]Thursday 09 July 2015 15:00 - 16:30 3324 - Paradigms for Building Resilience from Cross-scale Integrated Risk Governance Perspectives UPMC Jussieu - ROOM 101, Block 24/34 Our Common Future Under Climate Change 06-09 July,2015,Paris
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Climate change risk and its integrated governance Peijun Shi1,2,3, Shao Sun1,2,3,Qian Ye1 Daoyi Gong1, Tao Zhou1
1.State Key Laboratory of Earth Surface Processes and Resource Ecology
2. Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education
3.Academy of Disaster Reduction and Emergency Management, MoCA & MoE
Response to environmental risks caused global changes is the major issue facing the sustainable development.
Snow and ice storms in south China in 2008
Mississippi River floods in the United States in 2011 Drought disasters in south China in 2011
Examples of major disasters related to climate (precipitation and temperature)
Hurricane Katrina disaster in the United States in 2005
Global Changes and Environmental Risks - Ecological Risks
Source: Marko,et al. PNAS, 2006.
Forest Fires
Fresh Water
Supply
Biological
Diversity
Level of Risks
Grain Yield Change Percentage (to 2050 from now)
World Bank: In 2050, grain production will decline in the world in the case of
constant current mode of agricultural production and crop varieties.
Global Changes and Environmental Risks - Risks of Grain Production
Source: The World Bank, 2008
China is an
area at a
higher risk
level
主要道路和高速公路
目前百年一遇洪水洪范区
2020s百年一遇洪水洪范区
2050s百年一遇洪水洪范区
2080s百年一遇洪水洪范区
主要道路和高速公路
目前百年一遇洪水洪范区
2020s百年一遇洪水洪范区
2050s百年一遇洪水洪范区
2080s百年一遇洪水洪范区
100-year flood inundated areas in New York under different future scenarios
Source: Ann. N.Y. Acad. Sci, 2010
Global Changes and Environmental Risks – Cases of Climate Change Risks in New York
Global Climate
Changes
SERS greenhouse
gas emissions
Global climate
model simulations
Regional Climate
Change Information
Observational data
Quantitative
prediction based on
the global weather
patterns
Qualitative
forecasting based on
the global weather
patterns
Climate Risk
Factors
To identify climate
disaster causing
serious impacts on
the infrastructure in
New York to assess
the risks of critical
infrastructure
Examples of the Climate Variables Used to Establish Assessment Indicators
Tempe
rature
Mean
Temperature
Central Park
Kennedy Airport
LaGuadia Airport
Up to Now
from 1876
Up to Now
from 1948
Up to Now
from 1947
Value of Day/
Month
Value of Day/
Month
Value of Day/
Month
NCDC
NCDC
NCDC
Number of days at
temperature >X
Number of days at
temperature < X
Central Park
LaGuadia Airport
Up to Now
from 1944
Up to Now
from 1948
Value of Month
Value of Month
NCDC
NCDC
Precipi
tation
Total
Precipitation
Central Park
Kennedy Airport
LaGuadia Airport
Up to Now
from 1876
Up to Now
from 1949
Up to Now
from 1947
Value of Day/
Month
Value of Day/
Month
Value of Day/
Month
NCDC
NCDC
NCDC
Number of days at
precipitation >X Central Park Up to Now
from 1944
Value of Month NCDC
Sea level
Rise and
Coastal
Storms
Sea Level Rise-
Mean Water Level
The Battery
Sandy Hook
New Jersey
Up to Now
from 1856
Up to Now
from 1932
Value of Month
Value of Month
NOS
NOS
Hurricane Central Park Up to Now
from 1900
Value of Day NCDC
Contents Climate Change and Environmental Risk
Climate Change Risk
Regionalization of Climate Change
Integrated Risk Governance of Climate Change
Respond to the climate change has becomes a global issues which highly concerned by dignitaries, scientists, governments and the public in countries of the world. Impact of climate change to human sustainable development has both advantageous side and disadvantageous side. How to evaluate its disadvantageous side from the essence of climate change and to seek its integrated governance measures was highly
concerned by IPCC, which published a special report in early 2012:Managing the risks of extreme events and disasters to advance climate change adaptation, SREX
Climate Change Risk
This article focus on the essence of climate change, and presents that the climate change risk (CCR) is actually the sum total of negative effects of human sustainable development, which is caused by extreme events in particular period, fluctuation of characteristic value and variation tendency, in other words, extreme risk (ER), fluctuation Risk (FR) and tendency Risk (TR), that is, CCR=ER+FR+TR.
Therefore, the extreme weather events and disasters focused by IPCC-SREX cannot reveal the systemic feature thoroughly of CCR, which may mislead the government to establish defensive measures comprehensively.
ER is a kind of certainty risks, FR is a kind of uncertainty risks, TR is a kind of trade-off risks.
Climate Change Risk
环境变量
时间
环境变量
时间
环境变量
时间
环境变量
时间
环境变量
时间
环境变量
时间
环境变量
时间
环境变量
时间
环境变量
时间
Theoretical Modalities & Risks of Environmental Variables
Trends & Fluctuations
Contents Climate Change and Environmental Risk
Climate Change Risk
Regionalization of Climate Change
Integrated Risk Governance of Climate Change
Temperature Changes in Beijing
Extreme high temperature events
(daily maximum temperature
>34.5℃ days)
1~7
8~14
15~21
22~28
Air temperature change and extreme high
temperature events frequency of Beijing temperature(℃)
year
Tendency value:0.41℃/10a (mean value 12.2℃)
Fluctuation value:-0.05℃/10a (mean value 0.45℃)
Events frequency value:0.5 times/10a (mean value 9.6 times)
Extreme precipitation events
(daily precipitation >50mm days)
1~2
3~4
5~6
Air temperature change and extreme
precipitation events frequency of Beijing Precipitation (mm)
year
Tendency value:-44mm/10a (mean value 590mm)
Fluctuation value:-26mm/10a (mean value 154mm)
Events frequency value:-0.3 times/10a (mean value 2 times)
Precipitation Changes in Beijing
World Climate Regionalization
Köppen,
Wladimir Peter
W. P. Köppen. Das Geographisca System der Klimate. In: Handbuch der klimatologie,
edited by W. P. Köppen and R.Geiger. Berlin: Gebrüder Borntraeger, 1936. 1-44.
World Climate Regionalization
Alan H. Strahler
《Introducing Physical
Geography》
A. H. Strahler, A. N. Strahler. Global climates. In: Introducing Physical Geography, 5th Edition. New
York: John Wiley & Sons, 2010. 218-263.
World Regionalization of Climate Change Existing climate regionalization aims to characterize the regional differences
in climate based on years of the mean value of different climate indexes.
However, the regionalization of the climate state based on the mean of
climate elements cannot meet the demand of addressing climate change under
the background of global climate change.
We desperately need a set of classification methods in favor of identifying
regional difference of climate change and its impact to achieve climate change
regionalization and reveal different types of disaster and environmental risk
possibly incurred from climate change in different regions, so as to put
forward adaptation measures suitable to local conditions.
Tendency Rate of Temperature Change of China(1961-2010)
Shi Peijun,Sun Shao,Wang Ming,Li Ning,Wang Jing'ai,Jin YunYun,Gu XiaoTian,Yin WeiXia.Climate change regionalization in
China (1961–2010)..Science China:Earth Sciences, 2014 57(11):2676–2689.
Spatial distribution of temperature fluctuation values (1961–2010) Temperature data are from Monthly Mean Surface Dataset (2.5° resolution, from 01/1948 to present) of NCEP/NCAR Reanalysis provided by U.S. National
Oceanic and Atmospheric Administration
Precipitation tendency
Spatial distribution of precipitation tendency values (1961–2010) Monthly Dataset (0.5° resolution, from 01/1901 to present) of GPCC provided by U.S. National Oceanic and Atmospheric Administration, while precipitation
data of Antarctic continent is filled by NCEP/NCAR Reanalysis Dataset because of missing data.
Precipitation fluctuation
Spatial distribution of precipitation fluctuation values (1961–2010) Temperature data are from Monthly Mean Surface Dataset (2.5° resolution, from 01/1948 to present) of NCEP/NCAR Reanalysis provided by U.S. National
Oceanic and Atmospheric Administration
World Regionalization of Climate Change
Regionalization unit
Comparable geographic of world Use state or province level administrative regionalization of countries as the basic unit
Global Land Elevation
Global Land Elevation Global 30 Arc-Second Elevation dataset (1 kilometer resolution) provided by the United States Geological Survey (https://lta.cr.usgs.gov/GTOPO30).
World Regionalization of Climate Change (1961-2010)
World Regionalization of Climate Change
World Regionalization of Climate Change (1961-2010)
World Regionalization of Climate Change
Confidence Test
Classified statistic of proportion of area under different confidences among indicators (%)
Classification of Modes
Classification of Modes of Climate Change of the world (1961-2010) Tendency and fluctuation of temperature and precipitation of the world are identified under the given confidence of 90% (significance level 0.1)
Modes of Temperature Change
(area proportion (%))
Modes of Precipitation Change
(area proportion (%))
Figure SPM.4B | Projected return periods for a daily precipitation event that was exceeded in the late 20th century on average once during a 20-year period (1981–2000). A decrease in return period implies more frequent extreme precipitation events (i.e., less time between events on average). The box plots show results for regionally averaged projections for two time horizons, 2046 to 2065 and 2081 to 2100, as compared to the late 20th century, and for three different SRES emissions scenarios (B1, A1B, A2) (see legend). Results are based on 14 GCMs contributing to the CMIP3. The level of agreement among the models is indicated by the size of the colored boxes (in which 50% of the model projections are contained), and the length of the whiskers (indicating the maximum and minimum projections from all models). See legend for defined extent of regions. Values are computed for land points only. The ‘Globe’ inset box displays the values computed using all land grid points. [3.3.2, Figure 3-1, Figure 3-7]
Contents Climate Change and Environmental Risk
Climate Change Risk
Regionalization of Climate Change
Integrated Risk Governance of Climate Change
For this reason, humans must establish corresponding defensive measures based on the integrated characteristics of CCR, improving mitigation to response ER, improving resilence to response FR and improving adaptation to response TR. Only by improving mitigation, resilience and adaptation of human beings gradually to response climate change and form cohesion of integrated CCR governance, can we promote sustainability comprehensively from local, regional to global under the background of climate change.
Integrated Risk Governance of Climate Change
Peijun Shi, Qian Ye, Guoyi Han et al. Living with global climate diversity— suggestions on international governance for coping with
climate change risk. International Journal of Disaster Risk Science, 3(4)(2012):177-183.
we propose to establish “global integrated disaster risk governance paradigm” under the development strategy for “living with global climate diversity . Global Integrated Disaster Risk Governance
Paradigm under Development Strategy for Living
with Global Climate Diversity
Peijun Shi, Qian Ye, Guoyi Han et al. Living with global climate diversity— suggestions on international governance for coping with
climate change risk. International Journal of Disaster Risk Science, 3(4)(2012):177-183
Disaster Risk Reduction Information and Technology Integration
Platform(Japan)
灾
害
基
本
情
况
灾害种类
灾害发生时间
受灾区域
台风登陆地点、编号
地震震中经、纬度 地震震级、烈度
灾
情
受 灾 人 口
因灾死亡人口
因灾失踪人口
因灾伤病人口
被 困 人 口
饮水困难人口
受 淹 县 城
农作物受灾面积
农作物绝收面积
毁坏耕地面积
人口受灾情
况
农作
物受灾
情况
倒塌房屋间数 倒塌居民住房间数
损坏房屋间数
因灾死亡大牲畜
直接经济损失 农业直接经济损失
倒塌居民住房户数损失情
况
救灾工
作
救济情
况
救灾
资金
、物资投入
情况
需口粮救济人口 需救济粮数量
需衣被救济人口 需救济衣被数量
需救济伤病人口
需恢复住房间数 需恢复住房户数
已救济口粮人口 已安排救济粮数量
已救济衣被人口 已救济衣被数量
已救济伤病人口
已恢复住房间数 已恢复住房户数
已安排口粮救济款
已安排衣被救济款
已安排治病救济款
已安排恢复住房款
紧急转移安置人口
本级财政救灾款支出 上级财政救灾款支出
本级救灾物资投入折款 上级救灾物资投入折款
本级直接接收救灾捐赠资金
本级直接接收救灾捐赠物资折款
本级接收上级救灾捐赠资金
本级接收上级救灾捐赠物资折款
中央财政救灾款支出
中央财政救灾物资投入折款
《自然灾害情况统计快(核)报》填报的指标 《(半)年报》填报的指标 两类报表均填报的指标
省、地、县各级财政救灾款支出
省、地、县各级财政救灾物资投入折款
灾害发生时段
Timely Information of District Share Platform (IRiskNet.cn)
Establishing and Improving the CCR
Warning Information Integration Platform
Monitoring.
Warning and
Forecasting
System
Prepareness and
Manage System
Material Storage and Security
System
CCR Warning
Information
Integration
Platform
Governments/Global
Reinsurance/ Global
Capital Market
Central and Local
Governments/
Insurers
Central and Local
Governments
Community and
Local Governments
Size of
Loss
Minor Medium Large Catastrophic
1/10a
1/50a
1/100a
Events
C Improving adaptation to response TR
Disaster risk sharing mechanism according to CCR
From government perspective, globally, give full play to the rule of the United Nations, establish the global CCR governance partnership based on the current UN-ISDR framework.
From enterprises perspective, especially transnational enterprises, after continuing to increase prevention capacity should actively participate in CCR insurance, scientifically define acceptable CCR, controllable CCR and proportion of CCR to be transferred.
From public service development perspective, research and technical personnel of research institutes and universities engage in disaster prevention and reduction, strengthen the in-depth studies of CCR, strive for a milestone breakthrough in such aspects as predicting, forecasting and early warning, improving the information service system and developing different engineering and non-engineering technologies for CCR governance and make more contributions in benefiting the entire mankind.
From individual perspective, by diversified means such as education, propaganda and practice, completely enhance the consciousness for disaster prevention and reduction, master basic common knowledge for disaster prevention and disaster escape skills, completely cultivate the safety culture and systematically improve the self-rescuing and mutual-rescuing capacity and level, and actualize the ideal for the world full of love and bright and colorful life.
B Improving resilence to response FR
Peijun Shi, Jiabing Shuai, Wenfang Chen, Lili Lu. Study on Large-Scale Disaster Risk Assessment and
Risk Transfer Models. International Journal of Disaster Risk Science, 2010,1(2): 1-8.