1. Company LOGO www.company.comAngela Peck, 2008

2. Company LOGO www.company.com A Web-Based Flood Information System Department of Civil and Environmental Engineering The University of Western Ontario London, Ontario, Canada Presented by - Angela Peck Angela Peck, 2008

3. 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

4. Company LOGO www.company.com 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

5. Company LOGO www.company.comAngela Peck, 2008 Introduction Hazard Vulnerability Exposure Risk - 100yr floodlines - 250yr floodlines - Physical - Economic - Infrastructural - Social - Land use characteristics - Soil characteristics

6. Company LOGO www.company.com 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

7. Company LOGO www.company.com Upper Thames River Watershed Simonovic et al., 2007 Angela Peck, 2008 Study Area

8. Company LOGO www.company.com Forward Sortation Areas (PSEPC, 2005) Angela Peck, 2008 Study Area Damage CentreFSAs London (17) N5V N5W N5X N5Y N5Z 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

9. Company LOGO www.company.com 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

10. Company LOGO www.company.comAngela Peck, 2008 Hazard Risk - 100yr floodlines - 250yr floodlines

11. Company LOGO www.company.com The study utilizes: 100 & 250-year flood lines 100-yr Flood Line for London Area100-yr Flood Line for N6G Hazard Analysis Angela Peck, 2008

12. Company LOGO www.company.comAngela Peck, 2008 Hazard Vulnerability Risk - 100yr floodlines - 250yr floodlines - Physical - Economic - Infrastructural - Social

13. Company LOGO www.company.comAngela Peck, 2008 Vulnerability Analysis Overall vulnerability Physical InfrastructureEconomic Social Aggregation Vulnerability Indicators Population over 65 yrs old Single parents Etc.

14. Company LOGO www.company.com 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

15. Company LOGO www.company.com Critical Facilities Schools, Hospitals, Fire Stations Angela Peck, 2008 Vulnerability – Critical Facilities

16. Company LOGO www.company.com Degree of Importance (DI) Red (high influence) – 1.0 Orange (medium) – 0.75 Yellow (low) – 0.20 White (no influence) – 0.0 Angela Peck, 2008 Vulnerability – Critical Facilities

17. Company LOGO www.company.com Critical Facilities Schools, Hospitals, Fire Stations Angela Peck, 2008 Vulnerability – Critical Facilities Degree of Importance (DI) Red (high influence) – 1.0 Orange (medium) – 0.75 Yellow (low) – 0.20 White (no influence) – 0.0

18. Company LOGO www.company.comAngela Peck, 2008 Vulnerability – Critical Facilities A1A1 A2A2 A3A3 A4A4 A5A5 A6A6 G1G1 G2G2 G3G3 G4G4 G5G5 G6G6 ---- Grid line A k Area under k th grid cell G k k th grid cell with over all degree of importance, ODI k

19. Company LOGO www.company.com Procedure used for standardization The Overall DI (ODI) for a grid cell of i th FSA = Angela Peck, 2008 Vulnerability – Critical Facilities

20. Company LOGO www.company.com Avg. Physical Vulnerability Vulnerability Analysis Avg. Economic Vulnerability Angela Peck, 2008

21. Company LOGO www.company.comAngela Peck, 2008 Vulnerability Analysis (.... Contd.) Avg. Social VulnerabilityAvg. Infrastructure Vulnerability

22. Company LOGO www.company.com Overall Vulnerability Angela Peck, 2008 Vulnerability Analysis = + ++

23. Company LOGO www.company.comAngela Peck, 2008 Hazard Vulnerability Exposure Risk - 100yr floodlines - 250yr floodlines - Physical - Economic - Infrastructural - Social - Land use characteristics - Soil characteristics

24. 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

25. Company LOGO www.company.com 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

26. 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

27. 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

28. Company LOGO www.company.com Type of stakeholders General public Water management professionals Decision-makers Angela Peck, 2008 Web-based Flood Information System

29. 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

30. Company LOGO www.company.com 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