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Detailed analysis on storm surge impacts due to Typhoon Yolanda and multidisciplinary research for disaster risk reduction Hiroshi Takagi / Mario P. de Leon Ryo Matsumaru PCIEERD DOST Eastwood Richmonde Hotel, Quezon City, Manila, April 16, 2015

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Page 1: Detailed analysis on storm surge impacts due to Typhoon … · 2015-05-27 · Detailed analysis on storm surge impacts due to Typhoon Yolanda and multidisciplinary research for disaster

Detailed analysis on storm surge impacts due to Typhoon Yolanda and

multidisciplinary research for disaster risk reduction

Hiroshi Takagi / Mario P. de Leon

Ryo Matsumaru

PCIEERD DOST

Eastwood Richmonde Hotel, Quezon City, Manila, April 16, 2015

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J-Rapid Team

Principle Investigators:

H. Takagi (Tokyo Tech), L. D. Mario (DLSU)

Co-researchers:

R.Matsumaru (Toyo Univ.), T.Shibayama (Waseda U.), T.Mikami (Waseda U.), M. Esteban (U. Tokyo), Paolo B. V. (Disaster Preparedness Foundation), Ruth L. Caminong (DPWH) , Thao N.D. (HCMUT), Nistor I. (U. Ottawa)

Students:

S. Li, W. Wu (Tokyo Tech), L.C. Yap (DLSU), R. Nakamura (Waseda U.), M. Hayashi, K. Kimura (Toyo U.)

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Publication International Journal (2 papers accepted and 5 journal papers still under review)

H. Takagi, E. Miguel, T. Shibayama, T. Mikami, R. Matsumaru, L.D. Mario, Thao N.D., T. Oyama, R. Nakamura. Track Analysis, Simulation and Field Survey of the 2013 Typhoon Haiyan Storm Surge, Journal of Flood Risk Management, Wiley, 2015.

M. Esteban, Valenzuela V.P., Yun N Y., Mikami T., Shibayama T., Matsumaru R., Takagi H., Thao N.D., Mario De L., Oyama T., Nakamura R. Typhoon Haiyan 2013 Evacuation Preparations and Awareness, J-SustaiN, 2015.

Book Chapter

H. Takagi , L.D. Mario, E. Miguel, T. Mikami, R. Nakamura. Storm Surge due to 2013 Typhoon Yolanda in Leyte Gulf, the Philippines, IN: Esteban M., Takagi H., Shibayama T. Handbook of Coastal Disaster Mitigation for Engineers and Planners, 1st Edition, Elsevier (June, 2015 upcoming book) ISBN: 9780128010600

Japanese Domestic Journal

Nakamura R., Oyama T., Shibayama T., Matsumaru R., Takagi H., Esteban M., Takahito M. Comparison between simulation of storm surge invoked by typhoon “Yolanda” and field results, Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering), Vol. 70, No. 2, pp. 236-240, 2014.

Esteban M, Mtsumaru R, Takagi H, Mikami T, Shibayama T, Mario d l, Valenzuela V.P., Thao N.D.. Study on disaster information dissemination and people’s respose for evacuation - the case of the 2013 Typhoon Yolanda (Haiyan) -, Journal of Japan Society of Civil Engineers, Ser. B3 (Ocean Engineering), JSCE, Vol. 70, No. 2, 2014.

Shibayama T, Matsumaru R, Takagi H, Mario p. d, Esteban M, Mikami T., Oyama T, Nakamura R. Field survey and analysis of storm surge caused by the 2013 typhoon Yolanda (Haiyan), Journal of Japan Society of Civil Engineers, ser. B3 (ocean engineering), vol. 70, no. 2, 2014.

Takagi H, Mikami T, Shibayama T, Matsumaru R, Mario d l, Esteban M, Nguyen D. T., Nakamura R. analysis of the 2013 typhoon yolanda (haiyan) and subsequent storm surge, Journal of Japan Society of Civil Engineers, ser. B3 (ocean engineering), vol. 70, no. 2, 2014.

(as of April, 2015)

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Seminar at De La Salle University, October 17, 2014

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Topics

1. Characteristics of Typhoon Yolanda

2. Findings through the Field Surveys

3. Findings through Storm Surge Simulation

4. Intense Investigation in Tacloban

5. People’s awareness of Storm Surge

6. Recovery Process

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1. Characteristics of Typhoon Yolanda

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Typhoon Track Analysis

Yolanda was one of the largest typhoons in the North West

Pacific, only 28 typhoons are comparable.

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Track analysis using the JTWC Best track (1945-2013)

1. detect the landfall point at which a TC track intersects a coastline

2. estimate landfall time and wind speeds by interpolating the data

before and after landfalls

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A statistical analysis indicated that the number of TC making landfall around Leyte

and Samar Island has been steadily increasing over the past 7 decades, while other

islands do not show any particular upward or downward trends.

increased by +0.02 times per year

TC landfall points Wind speeds frequency of TC

There were a

total of 406

landfalls

between 1945

and 2013, an

average of 5.9

times per year.

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Haiyan (Yolanda) can be characterized as both the fastest

moving and strongest typhoon measured in the Philippines.

Fig. Relationship between wind speeds and forward speeds for the strongest 67

among 406 TCs, which made landfall in the Philippines between 1945 and 2013

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Relationship between return periods and wind speeds derived

from extreme value analysis using a Weibull distribution. The return

period of Haiyan (Yolanda) is estimated to be 200 years, while that

of typhoon Zeb in 1998 is 19 years.

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One of the most unusual characteristics of Haiyan is that it was

found to be the fastest typhoon in addition to the strongest

typhoon in the past 7 decades.

The fast moving typhoon caused:

→ amplification of storm surge at some locations

→ insufficient time for local people to prepare and evacuate

Key Points for Disaster Management (1) The wind speed at the time of landfall (165.8 knots) was found to

be the strongest among 406 TCs in the last seven decades, 16%

faster than the second strongest typhoon (142.7 knots during

Typhoon Zeb in 1998). The return period for a Haiyan-class

typhoon to make landfall was estimated to be 200 years.

A significant increase in TC landfall frequency (+0.02 times per

year) in recent decades was found in the latitude zone between

10°N and 12°N, which encompasses Leyte Island.

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2. Findings through the Field Surveys

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Post-disaster Survey in the Philippines after Yolanda

The 1st Dispatch,

December 4-13, 2013

Surveyed extent

The 2nd Dispatch, May 1-6, 2014

Dulag

Giposo

Tanauan

The 3rd Dispatch, Oct 18-20, 2014

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Storm Surge Height Measurements

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Storm Surge Height Distribution

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Results of survey

in May 2014

Storm Surge Height Distribution

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Storm Surge Height (m)

Tacloban City

Storm Surge Height Distribution

Google Earth

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Surveyed Points (San Pedro Bay)

Tacloban City

a. Airport

b. Convention Center

c. Paterno Street

d. City Hall

e. Anibong

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Survey Results - Airport, Tacloban City

Located in a narrow low-lying peninsula

Airport worker (remained at the

airport during the event) “the water

level came to the outer air conditioning

machine”

⇒ Height: 5.25m (Depth: 3.45m)

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Survey Results - Tacloban City

Height: more than 3.90m (at Hotel)

Height: 7.02m (2nd floor of a house)

It was difficult to estimate the

maximum storm surge height around

this area.

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Survey Results - Anibong, Tacloban City

Height at a house: 5.65m (residents

evacuated to a hill behind the house).

Storm surge attacked densely

populated area.

Ships were washed inland (this area is

next to a port area).

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Survey Results - Alejandro Hotel, Tacloban City

Source: YouTube, http://www.youtube.com/watch?v=4wrgrJwYdy8

Height: 4.31m (350m from the coast)

Video footage during storm surge

“The inundation started at 7:30AM

and family decided to evacuate after

the sea water reached a waist level.”

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Survey Results - Edible Oil Mfg., Tanauan

Height: 6.10m (100m from the coast)

Oil tanks were displaced by the storm

surge and the high waves.

2012/02/23

2013/11/10

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Survey Results - Bislig, Tanauan

Height: 7.71m (near the coast)

Height: 3.72m (290m from the coast)

The water carried a great deal of

garbage with it (flow was like “washing

machine”).

Waves was

breaking at this

height

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Survey Results - Luan, Dulag

Height: 2.84m (300m from the coast)

When the typhoon came, residents

evacuated to an elementary school

(designated evacuation site).

Storm surge reached this school (depth

was 80cm).

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Survey Results - Basey

Height: 5.87m (City Hall)

Height: 5.22m (behind the City Hall)

1st floor was flooded

Strong winds started around 5AM

→ the water started to recede 6AM

→ the storm surge started 7AM

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Survey Results - Gigoso, Giporlos

The mayor brought us to the most

affected barangay.

Height: 3.93m (near the coast)

1st floor was flooded and the water

came to the 2nd floor (wind waves?).

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Survey Results - Northern Cebu

Some evidence of storm surges was

found (but not as great as that

observed in Leyte and Samar).

Low tide during the typhoon.

Coral reef and mangrove forests. Daanbantayan

Medellin

Bogo

Medellin

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Key Points for Disaster Management (2)

Storm Surge Field Survey after the 2013 Typhoon Yolanda

Field surveys revealed that:

– Storm surge heights were over 5m inside Leyte Gulf

– Storm surge above 3m started to cause damage to

housing, especially to the wooden settlements

– Devastating storm surge was induced by rapid change of

wind direction over Leyte Gulf

In the Philippines, the characteristics of storm surges can be

different depending on typhoon path, shape of a bay, near

shore bathymetry, etc.

In order to prepare for future typhoons, it is important to

analyze past storm surge events as well as recent events and

accumulate knowledge and lessons.

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3. Characteristics of Storm Surge revealed

through Numerical Simulation

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Storm Surge Model

Typhoon Path JMA Typhoon Best Track

Typhoon Model

Pressure: Myers Formula, Wind:

Gradient winds considering Super-

gradient wind effect

Fluid Dynamics

Model Nonlinear shallow water equation

Computational

Domain

Cartesian (UTM51N), grid @3000m

(Philippines), @100m (San Pedro

Bay)

Bathymetry GEBCO_08 Grid (Philippines)

Chart by NAMRIA (San Pedro Bay)

Terrain Data ASTER GDEM (Satellite Data)

Tacloban, measured by the team

Manning’s n value Ocean: 0.025, Land: 0.060

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Bathymetry around Leyte and Samar

Data: GEBCO_08 Grid, GEBCO (General Bathymetric Chart of the Oceans)

Cebu Samar

Leyte

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Panay

Cebu

Leyte

Simulation for a wide area of the Philippines

Negros

storm

surge

Wave

Guiuan

movie embedded

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Detailed simulation focusing on Leyte Gulf Leyte

Island

Samar

Island

Leyte Gulf

movie

embedded

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Storm

surg

e e

leva

tions

(m)

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Receding of water observed in Basey, which was reproduced by the simulation as well.

water was receded by strong

wind towards the sea

Damage of houses due to

runup flow

Rapid

decrease

Strong wind towards the sea

shallow depth

movie

embedded

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Key Points for Disaster Management (3)

• The winds brought by Yolanda was one of the strongest in the history of the Philippines between 1945 and 2013.

• The return period of Yolanda-class typhoon was estimated to be 200 years.

• The forward speed of Yolanda was unusually fast, reaching speeds of 41km/h, which potentially increased the extent of damage.

• Water levels begun with receding at some places, which might have intrigued people living nearby the coasts.

• The result of numerical simulation is sufficiently reliable, which shows a good agreement with the inundations observed in the survey along the coast of Leyte Island.

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4. Intense Investigation in Tacloban

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(a) Inundation height

(b) Inundation height

(c) Inundation height

(d) Topographical survey

1

Detail simulation focusing on the downtown Tacloban Intense field survey

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Satellite

Data

ASTER-

GDEM 30

meters

The precise ground elevation is a key to a reliable simulation

Refined elevation data

of Tacloban City

topographical

survey

unrealistic elevations

Tacloban

downtown

realistic elevations

Topographical survey in the downtown Tacloban

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Storm surge heights from the sea surface (black) and inundation

depths from the ground (blue) (unit: meter)

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43

Visual inspection using a movie taken from Alejandro Hotel

(a)

movie

embedded

Page 44: Detailed analysis on storm surge impacts due to Typhoon … · 2015-05-27 · Detailed analysis on storm surge impacts due to Typhoon Yolanda and multidisciplinary research for disaster

Comparison of flow speed between the movie and simulation

The flow speed was about 60cm/s in front of Alejandro Hotel

from the visual inspection

from the simulation

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Comparison of storm surge between measured and simulated

heights at 15 locations in Tacloban downtown

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Page 47: Detailed analysis on storm surge impacts due to Typhoon … · 2015-05-27 · Detailed analysis on storm surge impacts due to Typhoon Yolanda and multidisciplinary research for disaster

Flow velocity was significantly fast along some streets,

which reached more than 4m/s.

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Key Points for Disaster Management (4)

• Flow velocities along the streets reached more than

4m/s, intensified by flow contraction due to the

high-density residential district, and water

significantly rose just in 10 minutes.

• Pedestrian evacuation during the peak of typhoons

could be more hazardous than staying in houses

some places.

• Early evacuation before the arrival of typhoon is

definitely important for safe evacuation. Evacuation

is needed to finish sufficiently before typhoon

arrives.

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5. People’s awareness of Storm Surge

Survey Period: Dec. 2013

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Types of Questionnaires Conducted

Methods Number of Participants (areas)

Structured Questionnaire

Survey 172

(survey locations, see next slide)

Semi-structured

Group Interview (5-8 participants)

20 from Tacloban City, Tanauan, Leyte

and Giporlos, Eastern Samar,

Non-structured Interview (1:1)

Government officials in towns of Tanauan, Palo, Tacloban, and Basey and DRRM officer of the province

of Leyte

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Structured Questionnaires (I): Distribution

• Same place as storm surge survey.

• 172(valid response) /198(distribution)

Place

No. of response

Storm Surge Height

(m)

a Tacloban Airport 13 5.25 d Tacloban City Hall 7 6.20 b Convention Center 44 7.02 g Basey 13 5.87 9 Sto Nino 15 2.72 8 Gigoso 16 3.93 7 Balangiga 22 2.78 1 Bislig, Tanauan 15 7.71 e Barangay 68, Tacloban 5 5.65 c Hotel Alejandro, Tacloban 8 4.31

Palo 14 -

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Structured Questionnaires (II): Demographics

• Structured questionnaires of local residents and emergency officials (n=172)

Male 32%

Female 56%

Unclear/No

answer 12%

23% 24%

16%

11% 9%

6% 3%

0%

9%

0%

5%

10%

15%

20%

25%

30%

% o

r re

spo

nd

ents

Age distribution

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Structured Questionnaires (III): Occupation

• Majority were young people, many students and people in fishing industry

• Also many office workers (emergency officials, etc)

Fishing 17%

Students 20%

Housewife 15%

Office workers

24%

Others 24%

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Storm Surge Awareness • Despite no recent storm surge events 77% of all respondents felt that storm

surges represented a strong or very strong danger for them. Thus, relatively high awareness about the potential danger

3% 1% 1%

15%

62%

18%

0%

10%

20%

30%

40%

50%

60%

70%

% o

r re

spo

nd

ents

35%

5% 2%

56%

2% 0%

10%

20%

30%

40%

50%

60%

Yes

(1 t

ime)

Yes

(2 t

imes

)

Yes

(3 o

r m

ore

tim

es)

No

No

An

swer

% o

r re

spo

nd

ents

Storm Surge Awareness Previous Experiences

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Semi-structured interview showed that only a few respondent correctly answered

the phenomena of storm surge. Therefore, it can be judged that actual knowledge

of the people was lower than that of the questionnaire survey result.

Yes No No reply

All

Office W.

Female

Male

Housewife

Student

Others

Gov. Officer

Fisherman

!!!

Understanding of Storm Surges

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Understanding of Storm Surges

• It is not entirely clear that respondents understood the phenomenon of the disaster before it struck.

• Only 47% of respondents said that they understood what a storm surge was and that the typhoon could bring with it a storm surge.

• It is not even clear that this 47% of people accurately understood the threat of the storm surge.

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Sources of information (by gender)

TV/Radio

Internet

Family

Police/Fire Sta.

Speaker on the Car

Speaker in community

Others

Myself

Neighbors

No reply

Multiple Reply Total: 187

female

male

People rely on media.

Information from the

Internet was emerging. Diffusion of smart phone?

Government-based

information sources were

not widely used. Might be issue considering

gov. responsibility.

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Sources of information (by age group)

TV/Radio

Internet

Family

Police/Fire Sta.

Speaker on the Car

Speaker in community

Others

Myself

Neighbors

No reply

Multiple Reply

Total: 193

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Knowledge about evacuation • Only 20% or respondents confirmed that they had taken part in evacuation

drills at some point in their lives (13% in one evacuation drill, and 7% in 2 or more)

• 58% said they knew how to evacuate

• Indication of efforts by train the population, generally understood by a sizeable majority of the population.

20%

58%

19%

3% 0%

10%20%30%40%50%60%70%

Yes, have joined No, but knowshow to evacuate

No, did not join No answer

% o

r re

spo

nd

ents

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Actual Evacuation Behavior

35%

31%

23%

8%

6%

0% 10% 20% 30% 40%

After I saw the forecast

After I got warning or order

After the typhoon made landfall

After the typhoon had passed

No answer/unclear answer

% or respondents

73%

17%

6%

11%

4%

0% 20% 40% 60% 80%

I evacuated because of the evacuation warning/order

I evacuated after seeing the rainfall and sea/river levels rise

I evacuated because of verbal warnings given by thosearound me

I evacuated because I saw those who were evacuating

I evacuated because I was forced by authorities (police,army, firefighters, etc)

% or respondents

OCD issued an evacuation

warning, obeyed by 73% (n=124)

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Evacuation mode and destination

Destination Mode of Evacuation

34%

29%

20%

7%

8%

2%

0% 10% 20% 30% 40%

Shelter Area(Evacuation Centre)

Place of other familyor relatives

Nearby high ground

Other public facility

High Buildings

No answer

% or respondents

74%

9%

2%

8%

2%

6%

0% 20% 40% 60% 80%

Walking

Motorcycle

Bycicle

Car or multicab

Other

No answer

% or respondents

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Reasons for not evacuating

• Nevertheless, 94% of respondents agreed that if they faced a similar situation once again, they would indeed evacuate.

32%

34%

9%

15%

9%

9%

15%

1%

3%

1%

5%

0% 10% 20% 30% 40%

I didn’t know how to evacuate/didn't …

The ground was high enough

The storm surge shouldn’t be large

I was out of risk area

I got no evacuation order

It was hard to get to the shelter area

I thought I could run away

On duty/at work at time, so couldn’t …

Wanted to protect house/belongings

Thought house was sturdy enough

No answer/unclear answer

% or respondents

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Key Informant Interview • Leyte & Samar

• Regional Director, OCD Region VIII

• DRRMO Officer • Leyte Province

• Cities of Tacloban, Tanauan, Palo and Basey

• Manila • Advisor to OCD Administrator

• Officer in charge of PAGASA

Key Informant Interview

at OCD Regional Office

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• Give an accurate picture of the event

• Many respondents said that they did not possess an accurate picture of the event.

• Key informants emphasized that people had been warned of the flooding, though they just did not seem to conceptualize the phenomenon itself correctly.

• Many people expressed the view that it would have been better for authorities and media to describe it as a “tsunami or tidal wave”, which would have given people a better feeling of the danger

• Give an easy warning

• Information given by PAGASA being too technical. Storm surges were explained as “dagko nga balod” (“very big waves”). Some people thought that their houses could withstand strong waves, and did not evacuate

• Education

• Many of respondent did not evacuate because of the lack of knowledge on evacuation.

Key Points for Disaster Management (5)

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6. Recovery Process

Survey Period: May 2014

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6. Recovery Process

(1) Change of Living Place

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Living place – Four different case

1. Own House (Original Place)

2. Evacuation Center

3. Bunkhouse

4. Tent

67

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Change of living place - Own house

• Before the disaster • Own house or emergency shelter

• At the time of disaster • Own house or emergency shelter

• Soon after the disaster Stayed short period in emergency shelter then

1. Went back to own house

2. Left Leyte for relatives or friends place (sometimes stayed in several place) then came back to own house

• May 2014 • Own house

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Why they left?

• Difficult to reach emergency supplies.

• No water and electricity

Reason for they left Tacloban City

Threfore,

• After establishment a system to supply relief goods to the disaster affected people who were staying outside the evacuation centers, they came back to Tacloban.

• Relief goods supply ended at the end of March, 2014.

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Change of living place - Bunkhouse

70

Almost people living with family.

Time to move to

bunkhouse Most of the people moved to the

bunkhouse between Mar. 1 and Mar.

8.

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Q: Why did you choose the place?

71

Time to move to

bunkhouse

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Q: Who instructed you to go to the place?

72

BGY Captain

Gov. Official

Time to move to

bunkhouse

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6. Recovery Process

(2) Gaps between Assistance and Needs

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Q: What kind of assistance did you receive?

74

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Q: Who gave you the assistance?

75

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Q: What kind of assistance did you need?

76

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77

Time to move to

bunkhouse • Affected people were expecting

financial support and to have

safe place (shelter) throughout

of the period.

• Assistance for Livelihood

recovery was important for

affected people after passing

relief period.

• Needs of affected people

changed when they moved

to the bunkhouse. However,

provided assistances were not

changed. Assistance

Needs

No

Change

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Key Points for Disaster Management (6)

• Establishment of an appropriate system for distributing

assistances to the people who were staying outside the

evacuation centers

• Victims who returned to home from the evacuation center left

Tacloban because of the difficulty of access to the assistance

• Establishment of the appropriate system will also contribute to

minimize the people in evacuation centers, and it will lead the

improvement of living environment of the evacuation centers

• Mindsets Change of assistance providers

• Gap between provided assistance and needs

Victim’s needs: changed form goods to livelihood recovery

Provided assistances: no change

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Thank you for your attention

satoko.takei
タイプライターテキスト
satoko.takei
タイプライターテキスト