Company LOGO Peck, 2008
Company LOGO 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
Company LOGO 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 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 Peck, 2008 Introduction Hazard Vulnerability Exposure Risk - 100yr floodlines - 250yr floodlines - Physical - Economic - Infrastructural - Social - Land use characteristics - Soil characteristics
Company LOGO 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 Upper Thames River Watershed Simonovic et al., 2007 Angela Peck, 2008 Study Area
Company LOGO 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
Company LOGO 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 Peck, 2008 Hazard Risk - 100yr floodlines - 250yr floodlines
Company LOGO 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
Company LOGO Peck, 2008 Hazard Vulnerability Risk - 100yr floodlines - 250yr floodlines - Physical - Economic - Infrastructural - Social
Company LOGO Peck, 2008 Vulnerability Analysis Overall vulnerability Physical InfrastructureEconomic Social Aggregation Vulnerability Indicators Population over 65 yrs old Single parents Etc.
Company LOGO 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 Critical Facilities Schools, Hospitals, Fire Stations Angela Peck, 2008 Vulnerability – Critical Facilities
Company LOGO 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
Company LOGO 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
Company LOGO Peck, 2008 Vulnerability – Critical Facilities A1A1 A2A2 A3A3 A4A4 A5A5 A6A6 G1G1 G2G2 G3G3 G4G4 G5G5 G6G Grid line A k Area under k th grid cell G k k th grid cell with over all degree of importance, ODI k
Company LOGO Procedure used for standardization The Overall DI (ODI) for a grid cell of i th FSA = Angela Peck, 2008 Vulnerability – Critical Facilities
Company LOGO Avg. Physical Vulnerability Vulnerability Analysis Avg. Economic Vulnerability Angela Peck, 2008
Company LOGO Peck, 2008 Vulnerability Analysis (.... Contd.) Avg. Social VulnerabilityAvg. Infrastructure Vulnerability
Company LOGO Overall Vulnerability Angela Peck, 2008 Vulnerability Analysis = + ++
Company LOGO Peck, 2008 Hazard Vulnerability Exposure Risk - 100yr floodlines - 250yr floodlines - Physical - Economic - Infrastructural - Social - Land use characteristics - Soil characteristics
Company LOGO 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 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 Flood Lines yr 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 Screenshot of the home page of the web-based flood information system Web-based Flood Information System Angela Peck, 2008
Company LOGO Type of stakeholders General public Water management professionals Decision-makers Angela Peck, 2008 Web-based Flood Information System
Company LOGO 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 Thank you Angela Peck, 2008 Resources for Technical Details