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FLOODS IN A CHANGING CLIMATE Risk Management - Canada Slobodan P. - PowerPoint PPT Presentation

FLOODS IN A CHANGING CLIMATE Risk Management - Canada Slobodan P. Simonovi d Professor Civil and Environmental Engineering The University of Western Ontario London, Canada 2| FLOODS IN A CHANGING CLIMATE Conclusions Risk management as


  1. FLOODS IN A CHANGING CLIMATE Risk Management - Canada Slobodan P. Simonovi d Professor Civil and Environmental Engineering The University of Western Ontario London, Canada

  2. 2| FLOODS IN A CHANGING CLIMATE Conclusions • Risk management as adaptation to climate change • Use of systems approach • Flood risk management as a social system • Systems tools • Probabilistic approach (Monte Carlo simulation, Evolutionary optimization, Probabilistic MO goal programming) • Fuzzy set approach (Fuzzy rule-based simulation, Fuzzy linear programming, Fuzzy Compromise MO programming)

  3. 3| FLOODS IN A CHANGING CLIMATE Outline  Introduction  Floods in Canada  Global change  Climate change  Floods in a changing climate  Risk management as adaptation  Systems approach  Important messages  Public safety  ‘Believe’ in climate change  General trends  Urban flooding  Flood insurance

  4. 4| INTRODUCTION Floods in Canada 1900-2005 Ontario Quebec British Columbia Alberta

  5. 5| INTRODUCTION Floods in Canada 1900-2005

  6. 6| CALGARY June 2013  Bow River  Peak flow 2,400 m 3 /sec  8 x the regular flow  3 x 2005 flood  Elbow River  Peak flow 1,240 m 3 /sec  12 x the regular flow  3 x 2005 flood  Outflow below Glenmore dam  700 m 3 /sec  7 x the normal  2.5 x 2005 flood  26 communities evacuated  100,000 people affected  20 bridges closed  34,000 people without power

  7. 7| CALGARY June 2013

  8. 8| TORONTO July 2013  Rain storm  126 mm in two hours (74.4 mm July average)  At least 300,000 people affected  1,400 train passengers stranded for hours  More than 300,000 people without power  Major traffic arteries flooded  Insured damage $850 M  2005 storm $671 M  2009 storm $228 M

  9. 9| TORONTO July 2013

  10. 10| INTRODUCTION Global change  Global change (natural and human-induced)  Alterations in climate  Changes in land productivity  Changes in oceans or other water resources  Changes in atmospheric chemistry  Changes in ecological systems  Understanding and predicting the causes, and impacts of, and potential responses to:  Long term climate change and greenhouse warming  Changes in atmospheric radiation  Natural climate fluctuations over seasonal and inter-annual time periods  They are all directly related to flooding

  11. 11| INTRODUCTION Climate change  Climate change  Changes in frequency and or intensity of extreme weather and climate events  Sea level rise  IPCC – many changes in extremes had been observed since 1970s as part of the warming of climate system  More frequent hot days, hot nights and heat waves  More frequent heavy precipitation events  More intense and longer droughts over wider areas  Increase in intense tropical cyclones in the North Atlantic  Sea level rise  Feedbacks

  12. 12| INTRODUCTION Climate change  Intensification of the hydrologic cycle  Further increases in precipitation extremes  Increases in heavy precipitation in wet areas  Increases in drought in dry areas  No precise predictions  Current studies suggest that heavy precipitation rates may increase by 5 – 10% per o C of warming Toronto 2005 - $671 M Toronto 2013 - $850 M

  13. 13| FLOOD RISK Management – Systems view  The system in focus is a social system of:  Individuals  Organizations  Societies and  Environment.  Flows connecting the subsystems:  Resource, and  Information.  Information is used to determine resource use by information subsystems. resources  Values provide meaning to information flows.

  14. 14| FLOOD RISK Risk assessment and communication

  15. 15| FLOOD RISK Municipal Risk Assessment Tool - IBC

  16. 16| FLOOD RISK Risk management – systems approach • Systems tools • Probabilistic approach (Monte Carlo simulation, Evolutionary optimization, Probabilistic MO goal programming) • Fuzzy set approach (Fuzzy rule-based simulation, Fuzzy linear programming, Fuzzy Compromise MO programming)

  17. 17| FLOODS IN A CHANGING CLIMATE Important messages  Public safety  …”The rising cost of natural disasters and the financial burden on Ottawa is the country’s biggest public safety risk ” … Public Safety Canada, 2013‐14, Report on Plans and Priorities

  18. 18| FLOODS IN A CHANGING CLIMATE Important messages  ‘Believe’ in climate change  …“It’s striking that anyone frames the question in terms of ‘belief,’ saying like, ‘I don’t believe in climate change.’ I don’t think this ought to be treated as a religious question. I think it’s better seen as a classic managerial question about decision- making under uncertainty”… John D. Black Professor, Harvard Business School

  19. 19| FLOODS IN A CHANGING CLIMATE Important messages  General trends  More frequent and intense disasters Upper Thames River basin

  20. 20| FLOODS IN A CHANGING CLIMATE Important messages  Urban flooding  An estimate $1.2 B annually ICLR unpublished data

  21. 21| FLOODS IN A CHANGING CLIMATE Important messages  Flood insurance  …Flood insurance in Canada should cover all causes of flooding…  …Flood insurance must not incentivize building in flood prone areas and encourage risky behavior…  … Flood insurance will require a partnership between the insurance industry, governments and private homeowners... Swiss RE and ICLR, 2010

  22. 22| RESOURCES www.slobodansimonovic.com Research  Research projects FIDS  Research

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