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Flood Risk Assessment for Thailand Rice Supply-Chain : Climate Scenario Analysis
Poon Thiegnburanathum, Ph.D.
Climate Change and Infrastructure Research Unit, Chiangmai University
Future Floods : An Exploration of Cross-Disciplinary Approach to Flood Risk Forecasting, 26-27 February 2015, NUS, Singapore
Agenda• Risk Flood Assessment Framework
• Thailand Rice Supply-Chain
• Climate Change and Flooding ?
• Baseline Analysis and Flood Prone Area
• Climate Scenario ?
Thailand’s Food 2011
http://www.skyscrapercity.com/showthread.php?t=1443042&page=6
Year Flood Description Economic Cost (THB)
Economic Cost (USD)
1785 4.25-meter (13.94-foot) flood height N/A N/A
1819 3.20-meter (10.50-foot) flood height N/A N/A
1831 Floodwaters reached the top of protective walls N/A N/A
1917 All roads underwater for at least one month’s time N/A N/A
1942 1.50-meter (4.92-foot) flood height, which persisted for two months’ time N/A N/A
1975 Floods caused by tropical depression 1.1 billion 36.2 million
1980 Four days of excessive rainfall in city prompts widespread flooding 700 million 23.1 million
1982 Heavy rainfall prompts flooding 1.1 billion 36.0 million
1983 Remnants of multiple tropical cyclones prompts 3-5 months of flooding in the city 6.6 billion 217.5 million
1995 Chao Phraya River measured at 2.27 meters (7.45 feet) above sea level 3.0 billion 98.8 million
1996 Water levels measured at 2.14 meters (7.02 feet); flood dike overtopped 1.5 billion 49.4 million
2011 Maga Flood 1400 billion 45700 million
Aon Benfield (2012), “2011 Thailand Floods, Event Recap Report Impact Forecasting,” March 2012
Breakdown of Economic Losses
Sector Economic Losses (Billions THB) Comments
Manufacturing 1,007 Most losses sustained at industrial factories
Tourism 95 Loss of tourism revenues over a 6-month span
Households/Personal Property 84 Includes structural and indoor content
losses
Agriculture 40 Loss of agricultural production
Aon Benfield (2012), “2011 Thailand Floods, Event Recap Report Impact Forecasting,” March 2012
https://www.recordedfuture.com/historical-analysis-thailand-floods-in-2011-and-effects-on-the-global-supply-chain/
Timeline of Thai Flood 2011
Flooding Framework
Hilly Area
Coastal Area
w/river nearby
w/o river nearby
Flat Area
a) An Influence Diagram of Flood Event (Thailand) b) Different Types (Thailand)
Rainfall
High Tide
River Flow
Surface Runoff from
RiverRiver
Overflow
Surface Runoff from Higher Land
Total Flow (In)
Q-in
Ability of Drainage
Q-out
FloodingCondition,
h and t
Establish The Context
Identify Risk
Analysis Risk
Evaluate Risk
Treat Risk
Ris
k Ass
essm
ent
Mo
nit
ori
ng
an
d R
evi
ew
Co
mm
un
icati
on
an
d C
on
sult
Risk Management Process
Analysis principles (qualitative)
HighRisk
MediumRisk
Low Risk
MediumRisk
Minor Major
Prob
able
Likeli
ho
od
Consequence
Impr
obab
le
Flood Risk Framework
Historical Data
FloodingModel
Land Use Information &
Scenario
Supply-Chain Analysis
Spatial Supply-Chain
Model
Climate Change Scenerio
Forecasting Flood Map
Activity Analysis
according to SC Approximate
Damage Function
Flood Risk Map from Supply-Chain
perspective
Flood Protection Infrastructure
Risk Treatment• Risk Avoidance, e.g. relocation
• Risk Reduction - Probability, e.g. flood protection infrastructure
• Risk Reduction - Impact, e.g. flood protection infrastructure, social adaptation, etc.
• Risk Transfer - e.g. insurance
• Residue Risk
38
Key Rice Field Areas
• 7.7 Million Farmers Participate • Export value 133 billion baht • Value creation added ~410%
40
Pontential Supply
By analysing of centroid and shortest path and gravity model to form Expected Logistics Network of Rice Supply Chain
Case Study for Rice Supply Chain Disruption
• Approximate opportunity loss in chain = f (Holding cost, Alternative route cost, Value at Risk in chain cost, Halt production)
• For the three key areas ~ 77.2 m bath/day
PROVINCE Production (Metric Ton) average per day
Kamphaeng Phet 893,768 2,449Phichit 1,101,362 3,017
Nakhon Sawan 1,390,249 3,809
Different sectors should have different protection systemห / risk
treatment facilities and instruments
Projection
• Probability of bigger storm is expected higher.
• Pattern of rainfall is expected to be changed.
• Land-use and Infrastructure is also changed
Climate Change Flood
Infra -structure
Flood Risk
Land-use