Company LOGO

www.company.comAngela Peck, 2008

Company LOGO

www.company.com

A Web-Based Flood Information System

Department of Civil and Environmental EngineeringThe University of Western OntarioLondon, Ontario, Canada

Presented by -

Angela Peck

Angela Peck, 2008

Company LOGO

www.company.com

Acknowledgments

Assistance from – David Gray, Mark Helsten, and Steve Zuppa

Upper Thames River Conservation Authority, Statistics Canada, Canadian Homebuyers Guide, Serge A. Sawyer map library & the IDLS library at The University of Western Ontario

Angela Peck, 2008

Advisor: Prof. Slobodan P. Simonovic

Project Team: Subhankar Karmakar & Jordan Black

Company LOGO

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• Introduction

• Flood Risk-Vulnerability Analysis • Objectives of the study

• Study area

• Flood Risk Descriptors• Hazard Analysis

• Vulnerability Analysis

• Exposure Study

• Web-based Flood Information System

• Conclusion

Angela Peck, 2008

Presentation Outline

Company LOGO

www.company.comAngela Peck, 2008

Introduction

Hazard

Vulnerability

ExposureRisk

- 100yr floodlines- 250yr floodlines

- Physical- Economic- Infrastructural- Social

- Land use characteristics- Soil characteristics

ExposureityVulnerabilHazardRisk Flood

Company LOGO

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• To integrate suitable vulnerability indicators into an overall vulnerability index

• To consider Forward Sortation Areas (FSAs) for spatial distribution in risk evaluation

• To consider the spatial impact of flooding of

- Major transportation routes and road bridges - Critical facilities (schools, hospitals, and fire stations)

• To develop a web-based tool for flood risk-vulnerability analyses

• To develop an analysis tool for calculation of flood risk as a function of land use

Angela Peck, 2008

Objectives

Company LOGO

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Upper Thames River Watershed

Simonovic et al., 2007

Angela Peck, 2008

Study Area

Company LOGO

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Forward Sortation Areas (PSEPC, 2005)

Angela Peck, 2008

Study Area

Damage Centre FSAs

London (17)

N5V N5W N5X N5YN5Z N6A N6B N6C N6E N6G N6H N6J N6K N6L N6M N6N N6P

Mitchell (1) N0K

Woodstock (3) N4S N4T N4V

St. Marys (1) N4X

Stratford (2) N4Z N5A

Ingersoll (1) N5C

Company LOGO

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Study Area

Geographic Information Systems Data

• Upper Thames River Conservation Authority

• Statistics Canada• The Ontario Fundamental Dataset• Surficial Geology of Southern Ontario

dataset• Route Logistics

Numerical Data• Statistics Canada

Angela Peck, 2008

Company LOGO

www.company.comAngela Peck, 2008

Hazard

Risk

- 100yr floodlines- 250yr floodlines

Company LOGO

www.company.com

The study utilizes:100 & 250-year flood lines

100-yr Flood Line for London Area 100-yr Flood Line for N6G

Hazard Analysis

Angela Peck, 2008

Company LOGO

www.company.comAngela Peck, 2008

Hazard

Vulnerability

Risk

- 100yr floodlines- 250yr floodlines

- Physical- Economic- Infrastructural- Social

Company LOGO

www.company.comAngela Peck, 2008

Vulnerability Analysis

Overall vulnerability

Physical InfrastructureEconomic Social

Aggregation

Vulnerability IndicatorsPopulation over 65 yrs old

Single parentsEtc.

Company LOGO

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Layer 1

Layer 2

Layer P

Layer 1

Layer 2

Layer E

Layer 1

Layer 2

Layer I

Layer 1

Layer 2

Layer S

Physical Vulnerability

Economic Vulnerability

Infrastructure Vulnerability

Social Vulnerability

PHYSICAL COMPONENTS

ECONOMIC COMPONENTS

INFRA-STRUCTURE

COMPONENTS

SOCIAL COMPONENTS

Flood Vulnerability

Process for deriving flood vulnerability using GIS

Subhankar, 2007

Angela Peck, 2008

Vulnerability Analysis

Company LOGO

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Critical Facilities Schools, Hospitals, Fire Stations

Angela Peck, 2008

Vulnerability – Critical Facilities

Company LOGO

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Degree of Importance (DI)

Red (high influence) – 1.0Orange (medium) – 0.75Yellow (low) – 0.20White (no influence) – 0.0

Angela Peck, 2008

Vulnerability – Critical Facilities

Company LOGO

www.company.com

Critical Facilities Schools, Hospitals, Fire Stations

Angela Peck, 2008

Vulnerability – Critical Facilities

Degree of Importance (DI)

Red (high influence) – 1.0Orange (medium) – 0.75Yellow (low) – 0.20

White (no influence) – 0.0

Company LOGO

www.company.comAngela Peck, 2008

Vulnerability – Critical Facilities

A1 A2

A3 A4

A5 A6

G1G2

G3G4

G5 G6

---- Grid line

Ak Area under kth grid cell

Gk kth grid cell with over all degree of importance,

ODIk

Company LOGO

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minmax

min

ee

eestde VulVul

VulVulVul i

i

Procedure used for standardization

The Overall DI (ODI) for a grid cell

k

jkk

k

jke AAODIVul

i11

)(of ith FSA = ie

Vul

Angela Peck, 2008

Vulnerability – Critical Facilities

Company LOGO

www.company.com

Avg. Physical Vulnerability

Vulnerability AnalysisAvg. Economic Vulnerability

Angela Peck, 2008

Company LOGO

www.company.comAngela Peck, 2008

Vulnerability Analysis (.... Contd.)

Avg. Social VulnerabilityAvg. Infrastructure Vulnerability

Company LOGO

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Overall Vulnerability

Angela Peck, 2008

Vulnerability Analysis

=+ + +

Company LOGO

www.company.comAngela Peck, 2008

Hazard

Vulnerability

ExposureRisk

- 100yr floodlines- 250yr floodlines

- Physical- Economic- Infrastructural- Social

- Land use characteristics- Soil characteristics

Company LOGO

www.company.com

Impact of land use on ‘Exposure’

• 7 different categories of land use (DI): 1. Water body (0.1)

2. Parks and recreational (0.2) 3. Open space

(0.3) 4. Government and institutional

(0.7) 5. Commercial (0.8)

6. Residential (0.8)

7. Resource and industrial (0.8)

Angela Peck, 2008

Exposure Analysis

Company LOGO

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Impact of soil permeability on ‘Exposure’

• 4 different categories of soil type:

1. Low (0.8) 2. Low-medium (0.6) 3. Variable (0.5) 4. High (0.3)

Decreasing chance of accumulation of water on the soil surface

Exposure Analysis

Angela Peck, 2008

Company LOGO

www.company.com

Flood Lines-100 yr-250 yr

ExposureHazardVulnerability

Flood Risk Assessment

Risk Components

Land Use-commercial-residential-resource & industrial-government & institutional-open area-parks & recreational

Soil Drainage Characteristics(Permeability)-low-low-medium-variable-high

Social Descriptors- age- differential access to resources- household structure- social status- ethnicity- economic

Infrastructure Descriptors-critical facilities-transportation

Economic Descriptors-Structural

Physical Descriptors-biological sensitivity

Risk Indices

Web-based Information

System

Users

Decision Makers

Professionals

General Public

Angela Peck, 2008

Web-based Flood Information System

Company LOGO

www.company.com

Screenshot of the home page of the web-based flood information system

Web-based Flood Information System

Angela Peck, 2008

Company LOGO

www.company.com

Type of stakeholders

General public Water managementprofessionals

Decision-makers

Angela Peck, 2008

Web-based Flood Information System

Company LOGO

www.company.comAngela Peck, 2008

Conclusion• New method in evaluation of indices are introduced in the infrastructure flood vulnerability analysis

• The impact of inundation of critical facilities on flood vulnerability

• An ‘analysis tool’ is provided for estimation of flood risk

• This flood risk information is provided uniquely to different users

• Procedures can be applied to other locations and on multiple scales

• Dynamic analyses are desirable

Company LOGO

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Thank you

Angela Peck, 2008

Resources for Technical Details

http://www.eng.uwo.ca/research/iclr/fids/publications/products/ReportBlack2.pdf

http://www.eng.uwo.ca/research/iclr/fids/publications/products/ReportPeck2.pdf