Development of flood vulnerability index estimation system
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Development of Flood Vulnerability Index Estimation System. Jang, Dae Won, Kim, Byung Sik, Kim, Bo Kyung, Seoh, Byung Ha, and Yoon, Suk Young. Index. Background. 1. Objectives of the study. 2. 3. E xcess F lood V ulnerability I ndex.

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Development of Flood Vulnerability Index Estimation System

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Development of flood vulnerability index estimation system

Development of Flood Vulnerability Index Estimation System

  • Jang, Dae Won, Kim, Byung Sik, Kim, Bo Kyung,

    Seoh, Byung Ha, and Yoon, Suk Young


Index

Index

Background

1

Objectives of the study

2

3

Excess Flood Vulnerability Index

Excess Flood Vulnerability estimation System

4

5

System Demonstration


Development of flood vulnerability index estimation system

Background

Rainfall Intensity & Flood Damage in Korea

Rainfall Intensity over 50mm

Damage trend

Damage(billion $)

frequency

Casualty

Property

damage

Human

Casualty

year

  • For the last thirty-year period, rainfall intensity is increased

  • Consequently, property damage has increased dramatically.

  • However, human casualty has decreased

Flood

Damage


Development of flood vulnerability index estimation system

Paradigm change

Classification of the river in Korea:

1. National River (1st Class river)

2. Regional River (2nd Class river)

3. Small River(3rd Class river)

National river:

Design frequency

(200year)

Urban area

: 500year

Agricultural

area: 50year

Regional river:

Design Frequency

(100year)

Small river:

Design Frequency

(50year)

Wetland area

: 10year

River

Flood control considering regional unit


Development of flood vulnerability index estimation system

Objectives of the study

  • Korea selects flood control safety level based on the estimationof Potential Flood Damage; PFD)

  • But PFD just show overall safety level for flood damage in mid and large basins.

  • So, PFD can not correspond properly to the flood

It fails to suggest an actual solution to cope with floods

  • This research will improve the limitations of PFD.

  • So, we developed Excess Flood Vulnerability Index(EFVI) for the analysis about vulnerability that did not considered in PFD

  • And also we developed Excess Flood Vulnerability estimation System(EFVS) that can evaluate the vulnerability.


Development of flood vulnerability index estimation system

Analysis of FDI

Application

(Anseong-Cheon basin)

System

Construction

developed Vulnerability Index

Analysis of PFD

Procedure of the study


Development of flood vulnerability index estimation system

Potential Flood Damage (PFD)

Potential Flood Damage (PFD)

  • PFD was developed and used in National Water Resources Planning in Korea for analyzing flood potential in the regional unit or concerned area of the river basin and for the decision making for the priority of investment for flood prevention project

  • PFD = f (Flood Potential, Risk)

  • Flood Potential = f (Population, Property, Urbanized Ratio, Infra-structure)

  • Risk = f (Flood Damage, Design Rainfall, Improved Ratio of Levee, Dams and Reservoirs, Runoff)


Development of flood vulnerability index estimation system

Potential Flood Damage (PFD)

  • The regions of class A of PFD has increased from 27 to 35 (30% increase)

  • Southeast coastal regions and central regions need to be invested with higher

  • priority for the flood prevention measures.


Development of flood vulnerability index estimation system

Standardized Human Casualty Index (SHCI)

= std (N. of Human casualties of unit area / Population of unit area)

Standardized Property Damage Index (SPDI)

= std (Value of damaged property of unit area / Value of total property of unit

area)

Standardized Inundated Area Index (SIAI)

= std (Inundated area of unit area / Total area of unit area)

FDI

SHCI

SPDI

SIAI

Flood Damage Index (FDI)


Development of flood vulnerability index estimation system

Flood Damage Index for an area of Han river Basin (1982~2003)

3

Property Damage Index

Inundation Area Index

Casualty Index

Flood Damage Index

2

1

0

1985

1995

1990

1982

2000

PFD is widely used for representing the degree of potential of flood damage.

FDI just corresponds to property damage index.

However we have difficulty in the use for flood defense measures or projects

because index does not correspond to the flood frequency .


Development of flood vulnerability index estimation system

Excess Flood Vulnerability Index(EFVI)

  • We considered the climatic, Hydro-geological, Socio-Economic, flood Protection

  • components and developed EFVE and EFVS


Development of flood vulnerability index estimation system

Critical Facility

Erosion Risk Area

Climatic

Flood Risk Area

Vulnerability

Index

Design

Hazard

Index

Design

Environmental

Inundation map

Social

Hazard risk area

Economic

damage magnitude

Basin Slope

Mitigation

  • Benouar & Mimi(2001)

  • Risk = Hazard x Vulnerability divided by Disaster Management

  • Vulnerability is defined as the weakness/strength of the element at risk

What kinds of indicators do we have for Vulnerability and Hazard indices?


Development of flood vulnerability index estimation system

  • Components for Excess Flood Vulnerability Index(EFVI)


Development of flood vulnerability index estimation system

  • Determine weighting values of indicators

  • Weighting values of the indicators were decided by conducting a survey to the specialists in industrial, academic, and research fields

  • We use AHP analysis for determining weighting values (Saaty, 1980)


Development of flood vulnerability index estimation system

Climatic

Components

Socio-Economic

components

Hydro-Geological

components

Flood Protection

Components

P

S

G

C

EFVI

i / max

Weight

Estimation of EFVI

1

4

4

0.25

1.0

1.0

4

1

2

0.25

1

0.5

2.0

Population

2

4

2

0.75

0.25

1.5

0.5

slope

1

1

2

0.5

1.0

0.5

1.0

rainfall

2.5

5.5

3.0

3.5


Development of flood vulnerability index estimation system

STATE

EFVI

EFVS (Excess Flood Vulnerability estimation System)

System development process

1step

User Demand analysis

EFVS

2step

System design

3step

GIS DB design

4step

Analysis module

5step

EFVS

6step

System integration


Development of flood vulnerability index estimation system

Climatic vulnerability estimation System

- STAtistical diagnostic Tool for Extreme weather[STATE]

STATE analysis results

  • Heavy rainfall threshold

  • Greatest 5-day rainfall

  • Average wet-day rainfall

  • Longest dry period

  • Heavy rainfall proportion

  • Heavy rainfall days

  • Hot-day threshold

  • Cold-night threshold

  • Frost days

  • Longest heatwave


Development of flood vulnerability index estimation system

Pilot Study Area

Anseng-cheon basin

Drainage Area :

1,699.6km²

River Length :

66.4km

Average Annual

Precipitation :

1,225mm

July, August, September

Rainfall (total) :

670mm


Development of flood vulnerability index estimation system

EFVS [input weighting values]

Input weighting value

EFVI =C+G+S-P

Hydro-geological

Climatic

EFVS

Socio-economic

Protection


Development of flood vulnerability index estimation system

EFVS [the grade point of a small basin]

Grade for vulnerability

We can see grade point for

the following 4 components

Hydro-geological

Climatic

EFVS

Socio-economic

Protection


Development of flood vulnerability index estimation system

EFVS [Estimationof Runoff coefficient]

Hydro-geological analysis

- Basin slope

- Runoff coeff

- Natural Hazard Risk Area

- Erosion Risk Area

- Sea Level Rise Zone

- Flood damage magintude

Hydro-geological

Climatic

EFVS

Socio-economic

Protection

Infomation

도시화율이 높을 수록불투수율이 높음


Development of flood vulnerability index estimation system

EFVS [Hazard Risk Area]

Hydro-geological analysis

- Basin slope

- Runoff coeff

- Natural Hazard Risk Area

- Erosion Risk Area

- Sea Level Rise Zone

- Flood damage magintude

Hydro-geological

Climatic

EFVS

Socio-economic

Protection


Development of flood vulnerability index estimation system

EFVS [Estimation of Flood damage magnitude]

Hydro-geological analysis

- Basin slope

- Runoff coeff

- Natural Hazard Risk Area

- Erosion Risk Area

- Sea Level Rise Zone

- Flood damage magnitude

Hydro-geological

Climatic

EFVS

Socio-economic

Protection


Development of flood vulnerability index estimation system

EFVS [Population density]

Socio-Economic analysis

- Density of population

- Financial ratios

Hydro-geological

Climatic

EFVS

Socio-economic

Protection


Development of flood vulnerability index estimation system

EFVS [Financial ratios]

Socio-Economic analysis

- Density of population

- Financial ratios

Hydro-geological

Climatic

EFVS

Socio-economic

Protection


Development of flood vulnerability index estimation system

EFVI and PFD are showing similar results

Result

Comparison of PFD and EFVI estimated from EFVS

EFVI

PFD


Development of flood vulnerability index estimation system

Basin characteristic

Vulnerabilityinformation

Future Research Plan

EFVS– Second Stage (basin characteristics)


Development of flood vulnerability index estimation system

EFVS– Second Stage (facility-pump station)

Critical Facility

(Critical Facility Analysis

–Pump station)

Hydro-geological

Climatic

EFVS

Socio-economic

Protection


Development of flood vulnerability index estimation system

EFVS– Second Stage (Inundation of the basin)

Inundation Map

(Anseong-cheon basin)

Hydro-geological

Climatic

EFVS

Socio-economic

Protection


Development of flood vulnerability index estimation system

What kings of flood

Defense countermeasure

Should we construct in this basin ?

EFVS– Second Stage (decision of flood defense measures)


Development of flood vulnerability index estimation system

Demonstration of EFVS


Development of flood vulnerability index estimation system

Thank You !

Q & A


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