19 a trial calculation of effect on disaster … · measures to minimize of damage by tsunami....
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A TRIAL CALCULATION OF EFFECT ON DISASTER REDUCTION AT FISHING PORT USING INPOT-OUTPUT ANALYSIS
Koji OTSUKA*, Fumihiko IMAMURA**, Ken-ichi SATOH***, Miyoshi HOSAKA****
* Senior Consultant, The Japanese Institute of Technology on Fishing Ports, Grounds and Communities
** Prof., Tsunami Engineering Laboratory, Disaster Control Research Center, Tohoku University
*** Manager, Emergency Management Division, General Affairs Department, Kesennuma-City
**** The Japanese Institute of Technology on Fishing Ports, Grounds and Communities
Damage to a fishing port caused by Earthquakes or Tsunamis has a significant effect on regional
industries in a city whose key industry is fishery. In the past, only the direct damage was subject to
calculation of the damage caused by Earthquakes or Tsunamis. In order to predict seismic/tsunami
disasters and the effect of disaster-reduction measures, not only the direct damage but also the indirect
damage need to be taken into consideration. To this end, we tried to calculate the effect of
disaster-reduction measures at fishing port using an input-output analysis as a model.
Key Words : Tsunami, input-output analysis, disaster mitigation
1.Purpose of the Study
Fishery is a key industry of Kesen-numa City,
centering round the Kesen-numa fishing port.
Damage to a fishing port caused by Earthquakes or
Tsunamis has a significant effect on regional
industries in a city whose key industry is fishery1). In
the past, only the direct damage was subject to
calculation of the damage caused by Earthquakes or
Tsunamis. However, if a fishing port is damaged, it
would not only adversely affect unloading and
shipping of marine products but operation of fish
processing facilities at the rear of the port, thus
having a significant effect on the entire regional
economy. In order to predict seismic/tsunami
disasters and the effect of disaster-reduction measures,
not only the direct damage but also the indirect
damage need to be taken into consideration. To this
end, we tried to calculate the effect of
disaster-reduction measures at Kesen-numa Fishing
Port using an input-output analysis as a model.
2.Effect of Damage to a Fishing Port on the Regional Economy
2.1 Effect of Damage to a Fishing Port on the Regional Economy
In generally, effect of damage is calculated using
difference of amount of damage with and without
countermeasures.
Effect of Damage =
Amount of Damage Without Countermeasures
– Amount of Damage With Countermeasure (1)
If a fishing port is damaged by Earthquakes and
Tsunamis, it would not only adversely affect
unloading and shipping of marine products but
operation of fish processing facilities at the rear of
the port, thus having a significant effect on the entire
regional economy. We discussed, in addition to the
direct damage, the negative spread damages through
the use of input-output analysis, for the purpose of
establishing a method of calculating the effect of
disaster-reduction measures2).
2.2 Probability of Earthquake Occurrence Next 30 Years
Kesen-numa City was attacked by Tsunami many
times. Fig. 1 shows probability of Miyagi
Earthquakes occurrence next 30 years at offshore of
Kesen-numa City. Miyagi Earthquake, single type, is
presumed the occurrence of probability of 99% and
80~90%3).
122
Miyagi(Single)(≒M7.5)99%
Miyagi(Synchronized)(≒M8)
Miyagi(Single)(≒M7.7)80~90%
Kesen-numa
Fig. 1 Probability of Miyagi Offshore Earthquakes
Occurrence Next 30 Years
3.Situation of Kesen-numa Bay
Kesen-numa fishing port is located at bottom of
Kesen-numa Bay. Fishery is a key industry of
Kesen-numa City, centering round the Kesen-numa
fishing port. Kesen-numa fishing port gathers from
the whole country fishing vessels, unloads, and has
the role of the distribution base of fisheries products.
And also, the aquaculture is active in the Kesen-numa
bay, a lot of fishing ports are distributed in the littoral
region in the bay. The fish unloaded at the
Kesen-numa fishing port is not only supplied to the
consumer but also supplied to the fishery processing
factories. So, Kesen-numa fishing port has a
prominent role for the regional economy.
There are a lot of objects in the market as fish
selecting machines, fish boxes, many kind of vehicles
and workers. On the other hand, there are a lot of
objects also in the bay as fishing vessels, vehicles,
aquaculture rafts.
The function of the fishing port stops when these
drift by the Tsunami.
KenenKenen--numanuma Fishing PortFishing Port
Fish Fish Landing Landing PlacePlace
KenenKenen--numanuma Fishing PortFishing Port
Fish Fish Landing Landing PlacePlace
Fig. 2 Kesen-numa Fishing Ports
Fish Boxes & Workers
Fish Boxes & Workers
Fish Boxes & Vehicles
Fish Boxes & Vehicles
Fish Selecting Machines
Fish Selecting Machines
VehiclesVehicles
Fish Boxes & Workers
Fish Boxes & Workers
Fish Boxes & Vehicles
Fish Boxes & Vehicles
Fish Selecting Machines
Fish Selecting Machines
VehiclesVehicles
Fig. 3 Objects in the Fish Market
Fig. 4 shows the drift simulation of the aquaculture
rafts by Miyagi Synchronized Type Earthquake. In
the drift simulation of the aquaculture rafts, the sea
route is blockaded by the raft's drifting, and
dispersing them in the bay. Therefore, it becomes
impossible for the vessels to sail. A disaster
Reduction measures necessary to secure the function
of the fishing port when the Tsunami raids are mainly
the driftage measures 4,5) .
Distributed Aquaculture RaftsDistributed Aquaculture Rafts Raft’ Drifting, DispersingRaft’ Drifting, DispersingMiyagi (Synchronized Type)Miyagi Miyagi ((Synchronized Synchronized TTypeype))
Sea Rout Is Blockaded
Distributed Aquaculture RaftsDistributed Aquaculture RaftsDistributed Aquaculture RaftsDistributed Aquaculture Rafts Raft’ Drifting, DispersingRaft’ Drifting, DispersingMiyagi (Synchronized Type)Miyagi Miyagi ((Synchronized Synchronized TTypeype))
Sea Rout Is BlockadedSea Rout Is BlockadedSea Rout Is Blockaded
Fig. 4 Result of Drift Simulation of the
Aquaculture Rafts
In Kesen-numa, several-time workshops are held
participated not only city office staff, but also the fish
market staff, fisheries corporative association and
local residents and so on. At the workshops, they
discussed with countermeasure against to Tsunami
(Fig.5). And also, preparatory evacuation training was
executed participating fishermen, mainly evacuation
of fishing vessels against to Tsunami in last autumn.
Therefore, parties concerned have high appreciation
against to Tsunami.
123
Countermeasures?Countermeasures?Tsunami?Tsunami?
Local OfficersFish Market staffsFish Processing FactoryFishermen (FCA), etc.
High Appreciation
Evacuation Training
Local OfficersFish Market staffsFish Processing FactoryFishermen (FCA), etc.
High Appreciation
Evacuation Training
Fig. 5 Activities Disaster Reduction
against Tsunami
4.Damage of Tsunami by Chilean Earthquake 2010
End of this February, Chilean Tsunami attacked
Kesen-numa City. In case of Miyagi Earthquake
Tsunami, Synchronized Type, Tsunami flood depth
assumed in the fish market is about 2~3m. But on
this time, it was approximately 0.5m measured by Dr.
Imamura as show as Fig. 6.
There are 1,500 Fish Boxes in the fish market
didn’t flow out to the outside caused by rope fixing
by fish market staffs as show as Fig. 7.
Fish Market Closed on SundayFish Market Closed on Sunday
≒0.5mChilean Tsunami≒2~3mMiyagi(Synchronized)
Flood depth
≒0.5mChilean Tsunami≒2~3mMiyagi(Synchronized)
Flood depth
Fig. 6 Tsunami Overflowed on the Fish Market
1,500 Fish Boxes(1t)1,500 Fish Boxes(1t) Didn’t flow out to the outside
Didn’t flow out to the outside
Fig. 7 Damage of Fish Boxes in the Fish Market
Fig.8 shows the situation of evacuation and
countermeasures for driftage. Residents evacuated to
higher place by themselves. Vehicles, including
forklifts, were evacuated to roof top on the fish
market by the fish market staffs. Fishing vessels
evacuated to given safety sea area by fishermen. Big
fishing vessels were tied strongly by fishing port
management body.
ForkliftsForklifts VehiclesVehicles
Fig. 8 Evacuation & Other Measures
On the other hand, a lot of aquaculture rafts are set
up in the Kesen-numa bay as mentioned above. These
rafts were great damaged as drift by the Tsunami (Fig.
9). According to the calculation by Dr. Fujima,
maximum current velocity was over 3m/s. When
current velocity 1m/s is exceeded, it is reported that
the aquaculture rafts damage begins to appear by Dr.
Shyuto and Dr. Imamura6).
Raft Type(Oyster)
Raft TypeRaft Type(Oyster)
Trawl line Type(Seaweed)
Trawl line TypeTrawl line Type(Seaweed)
Max. Velocity<3m/s(calculated by Dr. Fijima) Max. Velocity<3m/sMax. Velocity<3m/s
(calculated by Dr. Fijima)
Raft Type(Oyster)
Raft TypeRaft Type(Oyster)
Trawl line Type(Seaweed)
Trawl line TypeTrawl line Type(Seaweed)
Max. Velocity<3m/s(calculated by Dr. Fijima) Max. Velocity<3m/sMax. Velocity<3m/s
(calculated by Dr. Fijima)
Fig. 9 Damage of Aquaculture Rafts
5. Analysis of industrial structure and planning of disaster-reduction measures
Based on mentioned above information, we tried to
analyze of industrial structure and to plan of the
disaster-reduction measures.
Step 1 Service Supply Flowchart for Each Industrial Sector
Fig.10 shows, fishery, food-processing industry and
other industries based on the fishery are key
industries of Kesen-numa City to take measures for
disaster-reduction against Tsunami focusing on
Fishery leads to the decline of damage to the regional
economy.
124
FisheryFisheryFishery
Food-processing
Industry
FoodFood--processing processing
IIndustryndustry
CommerceCommerceTransportatiTransportation Industryon IndustryService IndustryService Industry
ManufacturingManufacturing
Energy, etc.Energy, etc.Fishery Product & Processing
Distribution & Processing
FisheryFisheryFishery
Food-processing
Industry
FoodFood--processing processing
IIndustryndustry
CommerceCommerceTransportatiTransportation Industryon IndustryService IndustryService Industry
ManufacturingManufacturing
Energy, etc.Energy, etc.Fishery Product & Processing
Distribution & Processing
Fig. 10 Service Supply Flowchart of Each
Industrial Sector
Step 2 Sum Ratio of the Top 7 Sectors of Internal Production Amount
First, we analyzed the industrial structure of
Kesen-numa City. The top seven sectors which have
the larger internal production value were extracted
from the input-output table of the city. Then, the
service supply ratios by each industrial sector were
shown Table 1.
Table 1 Sum ratio of the top 7 sectors of
internal production amount
Sum ratio Fishery
Food-processi
ng industr
y
Manufacturin
g
Energy, etc
Commerce
Transportatio
n industr
y
Service industr
y
Fishery 0.039 0.960 - - - - 0.001Food-processing industry
0.019 0.958 0.001 - - 0.000 0.023
Manufacturing 0.065 0.165 0.210 0.021 0.043 0.112 0.385
Energy, etc. 0.375 0.162 0.033 0.088 0.065 0.050 0.227
Commerce
0.042 0.666 0.047 0.008 0.028 0.050 0.159
Transportation
industry 0.033 0.235 0.032 0.023 0.192 0.235 0.251
Service industry
0.068 0.079 0.036 0.040 0.164 0.179 0.434
Step 3 Setting as a Scenario of Disaster Reduction Measures
We emphasized a BCP (Business Continuity Plan)
basic concept setting a scenario of disaster-reduction
measures to minimize of damage by Tsunami. Based
on the result of analysis, change in the industrial
structure after a disaster with and without
disaster-reduction measures was set as a scenario.
If there are no countermeasures, fishing boats and
aquaculture cages around fishing ports would drift as
driftage by Tsunami. As it will take a long period of
time to remove them and restore fisheries
infrastructures, the distribution of marine products
will be delayed, and in its turn, industries such as
“fishery” and “food-processing industry” will be
stagnated for a long time.
In a case where countermeasures to minimize the
retention of driftage by Tsunami are taken, time
required for removing them and restoring fisheries
infrastructures will be reduced and the distribution of
marine products will recover rapidly. Therefore, the
stagnation of industries such as “fishery” and
“food-processing industry” will be held down, etc.
Step 4 Setting of Numerical Value in the Input-Output Table According to Disaster-Reduction Scenario
(1) Prerequisites - The structure of expenditures injection for each
industrial sector is uniform.
- The intraregional end demand is assumed to
fluctuate according to evacuation situation of
regional residents, etc.
(2) Reflection on Values in the Input-Output Table According to of Disaster-Reduction Measure Scenario Equations
- On the assumption that the input-output ratio of cost
is fixed, an operating ratio is multiplied by a
constant value
- If an operating ratio of the fishery sector is lower
than that of other sectors, the supply to other sectors
is adjusted to the operating ratio of the fishery
sector
- If an operating ratio of the food-processing industry
is lower than other sectors excluding the fishery
sector, the supply to other sectors excluding the
fishery sector is adjusted to the operating ratio of
the food-processing sector, etc. (3) Setting of Operation ratio of each
Industrial Sector
Next, we set of numerical value in the input-output
table according to the disaster-reduction scenario.
First, we presumed operation ratio of fishery, food
processing industry and other Industries. Fig.11
shows fishery sector as example.
An evacuation population and the damage ratio of
125
houses, fishing boats and operating ratio of factories
were estimated based on questionnaire surveys
already conducted and a supposed flood area for each
industrial sector in the input-output table.
WithWithout
Operation Ratio of FisheryFishery
Operation Ratio of FisheryFishery
Minimum Operation Ratio of FisheryFishery
Oper
atio
n Ra
tioOp
erat
ion
Ratio
Oper
atio
n Ra
tio
Elapsed days After Disaster
Elapsed days After Disaster
Elapsed days After Disaster
Influence Factors
Operation Ratio by each Influence Factors
Without
With
DisasterDisaster
DisasterDisaster
WithWithout
Operation Ratio of FisheryFishery
Operation Ratio of FisheryFishery
Minimum Operation Ratio of FisheryFishery
Oper
atio
n Ra
tioOp
erat
ion
Ratio
Oper
atio
n Ra
tio
Elapsed days After Disaster
Elapsed days After Disaster
Elapsed days After Disaster
Influence Factors
Operation Ratio by each Influence Factors
Without
With
DisasterDisaster
DisasterDisaster
Fig. 11 Setting Operation Ratio (1)
But, if an operating ratio of the fishery sector is
lower than that of other sectors, the supply to other
sectors is adjusted to the operating ratio of the fishery
sector. If an operating ratio of the food-processing
industry is lower than other sectors excluding the
fishery sector, the supply to other sectors excluding
the fishery sector is adjusted to the operating ratio of
the food-processing sector, etc.
Minimum Operation Ratio of FisheryFishery
Minimum Operation Ratio of Food ProcessingFood Processing
Minimum Operation Ratio of OthersOthers
Elapsed days After Disaster
Elapsed days After Disaster
Elapsed days After DisasterOper
atio
n Ra
tioOp
erat
ion
Ratio
Oper
atio
n Ra
tio
With
Without
With
Without
With
Without
DisasterDisaster
DisasterDisaster
DisasterDisaster
Minimum Operation Ratio of FisheryFishery
Minimum Operation Ratio of Food ProcessingFood Processing
Minimum Operation Ratio of OthersOthers
Elapsed days After Disaster
Elapsed days After Disaster
Elapsed days After DisasterOper
atio
n Ra
tioOp
erat
ion
Ratio
Oper
atio
n Ra
tio
With
Without
With
Without
With
Without
Minimum Operation Ratio of FisheryFishery
Minimum Operation Ratio of Food ProcessingFood Processing
Minimum Operation Ratio of OthersOthers
Elapsed days After Disaster
Elapsed days After Disaster
Elapsed days After DisasterOper
atio
n Ra
tioOp
erat
ion
Ratio
Oper
atio
n Ra
tio
With
Without
With
Without
With
Without
DisasterDisaster
DisasterDisaster
DisasterDisaster
Fig. 12 Setting Operation Ratio (2)
An operating ratio of each industrial sector from
the next date of the disaster to the completion of
restoration (three years later) was varied based on
restoration performance of other areas.
The result was reflected on the values in the
input-output table.
6.Estimation Results of Disaster Reduction Effect Using the Production Amount as Index
From the mentioned above, we estimated of
disaster-reduction effect using the production amount
as index.
6.1 Production Amount after the Occurrence of Disaster
The production amount by elapsed day was
estimated in two cases; “with disaster-reduction
measures” and “without them.” The comparison result
of the production amount in two cases shows that a
large difference arises in terms of production amount
in the emergency reaction period after the disaster
(one week ~ six months) and the difference is not
large in the restoration period (one year ~ three
years) as show as Fig. 13.
The damage amount without disaster-reduction
measures is about 169.2 billion yen while the amount
is about 4.8 billion yen with those measures. The
implementation of disaster-reduction measures has a
damage-reduction effect of about 164.4 billion yen. The trial calculation results are approximate to a
BCP (Business Continuity Plan) general basic
concept and it was confirmed that the effect of
disaster-reduction measures appeared in a similar way
to a BCP basic concept.
Fig. 13 Production amount after the
occurrence of disaster (per day)
0
200
400
600
800
1,000
1,200
1,400
0 0 1 10 100 1000 10000
経過日数(対数)
1日
当の
生産
額(
百万
円)
0
200
400
600
800
1,000
1,200
1,400
0 0 1 10 100 1000 10000
経過日数(対数)
1日
当の
生産
額(
百万
円)
DisasterDisasterElapsed days (Elapsed days ( logarithm) logarithm)
Prod
uctio
n pe
r day
Pr
oduc
tion
per d
ay
(mill
ion
yen)
(mill
ion
yen)
With 4.8 billion yen
With With 4.8 billion yen4.8 billion yen
Without 169.2 billion yen
Without Without 169.2 billion yen169.2 billion yen
Until the Occurrence of DisasterUntil the Occurrence of DisasterUntil the Occurrence of Disaster
Effect164.4 billion yen
EffectEffect164.4 billion yen164.4 billion yen
(Day)
0
200
400
600
800
1,000
1,200
1,400
0 0 1 10 100 1000 10000
経過日数(対数)
1日
当の
生産
額(
百万
円)
0
200
400
600
800
1,000
1,200
1,400
0 0 1 10 100 1000 10000
経過日数(対数)
1日
当の
生産
額(
百万
円)
DisasterDisasterElapsed days (Elapsed days ( logarithm) logarithm)
Prod
uctio
n pe
r day
Pr
oduc
tion
per d
ay
(mill
ion
yen)
(mill
ion
yen)
With 4.8 billion yen
With With 4.8 billion yen4.8 billion yen
Without 169.2 billion yen
Without Without 169.2 billion yen169.2 billion yen
Until the Occurrence of DisasterUntil the Occurrence of DisasterUntil the Occurrence of Disaster
Effect164.4 billion yen
EffectEffect164.4 billion yen164.4 billion yen
(Day)
126
6.2 Estimation Results of Disaster Reduction Effect using the Production Amount as Index
At the result that calculation of effect on disaster
reduction on fishing port using input-output analysis,
It became clear the following. The transaction of each
sector of industry in the region becomes clear. The
ripple damage to the related industries can be
clarified. Measures for the minimization of damage
by Tsunami can be understood by the time step. Not
only fishermen but also people in the region will have
high appreciation against to Tsunami.
7.Conclusion
The trial calculation results are approximate to a
BCP (Business Continuity Plan) general basic
concept and it was confirmed that the effect of
disaster-reduction measures appeared in a similar way
to a BCP basic concept. We will make efforts to solve
the problems for utilizing input-output analysis to
establish an effect calculation method of
disaster-reduction measures in the future. Finally, not only fishermen also people in the
region will have high appreciation and execute the
action against to Tsunami by understanding the
influence and the effect of disaster-reduction
measures7).
謝辞
本論文は水産庁委託事業「漁業地域の減災モデ
リング事業」の一部をとりまとめたものである.
事業の実施にあたり協力頂いた関係各位に陳謝
申し上げる.
参考文献
1) 災害に強い漁業地域づくりガイドライン,(社)全国
漁港漁場協会,2006
2) 水産物産地市場の減災計画策定マニュアル,水産庁
漁港漁場整備部,2010
3) 海溝型地震の長期評価の概要:文部科学省地震調査
研究推進本部,2010
4) 水谷将・大塚浩二・中村隆・伊藤敏朗:津波シミュ
レーションを用いた災害に強い漁業地域づくり,第
5 回全国漁港漁場整備技術研究発表会講演集,pp134
~143,2006
5) Koji OTSUKA・Hiroyuki KATO・Ken-ichi SATOH・
Koji FUJIMA : THE BEHAVIOR OF TSUNAMI
INDUCED DRIFTAGE AND IT’S PROBLEM IN THE
FISHING AREAS, PACON 2010, pp83
6) 藤間功司・鴫原良典・加藤広之・丹治雄一:2010
年チリ津波による養殖施設の被害調査,地域安全学
会梗概集 No.26,2010
7) Koji OTSUKA ・ Fumihiko IMAMURA ・ Sadayuki
OKA・Ken-ichi SATOH・Miyoshi HOSAKA: A Trial
Calculation of Effect on Disaster Reduction at Fishing
Ports Using Input-Output Analysis, The 3rd
International Tsunami Field Symposium, pp153~154