Canadian flood risk-sharing models in the face of climate change
面对气候变化的加拿大洪水风险分担模型
基本信息
- 批准号:561390-2020
- 负责人:
- 金额:$ 3.19万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Alliance Grants
- 财政年份:2021
- 资助国家:加拿大
- 起止时间:2021-01-01 至 2022-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Flooding is the most common and costly natural hazard in Canada. Because of climate change and continued urbanization in high-risk flood areas, there is a growing threat to the safety of Canadian communities. As a result, nearly one-in-ten households in Canada is at risk of flooding. To increase Canada's resilience to flooding and climate change, researchers from the Université du Québec à Montréal, Université Laval and the University of Waterloo have partnered with Public Safety Canada and the Insurance Bureau of Canada to develop science-based viable solutions for financial risk management of flood risk in Canada and to accelerate the implementation of these solutions in the country.Deeply rooted in actuarial and climate sciences, we will create innovative methodologies to determine (1) how the federal, provincial and territorial (FPT) governments as well as municipalities and the insurance industry should contribute to share financial losses from flooding in the current Canadian context (legislative, environmental, etc.); (2) how much we should expect to pay for flooding in the future accounting for climate change; and, (3) how climate change should shape financial risk-sharing and risk management strategies to assure a viable, stable and ideally self-financing system in Canada. Through the work of the interdisciplinary Task Force on Flood Insurance and Relocation led by Public Safety Canada, this research project will in turn form the basis of considered options by FPT governments to increase Canada's resilience to flooding and climate change.While applying their technical skills in actuarial science, the research trainees will gain important insights about (physical) flood processes, adaptation to climate change and flood insurance. As climate change is gradually being factored in by insurance regulators and public policies, research trainees and staff will be better positioned to become international leaders in the public/private sectors such as research actuaries, catastrophe risk modellers, climate data scientists, flood risk managers or governance and policy experts.
洪水是加拿大最常见和最昂贵的自然灾害。由于气候变化和高风险洪水地区的持续城市化,加拿大社区的安全受到越来越大的威胁。因此,加拿大近十分之一的家庭面临洪水的风险。为了提高加拿大对洪水和气候变化的抵御能力,魁北克大学蒙特利尔分校、拉瓦尔大学和滑铁卢大学的研究人员与加拿大公共安全局和加拿大保险局合作,为加拿大洪水风险的金融风险管理开发基于科学的可行解决方案,并加快这些解决方案在该国的实施。我们将创造创新的方法来确定(1)在加拿大当前的情况下(立法、环境等),联邦、省和地区(FPT)政府以及市政当局和保险业应如何分担洪水造成的经济损失; (2)我们应该期望支付多少洪水在未来的气候变化会计;和,(3)气候变化应如何塑造金融风险分担和风险管理战略,以确保一个可行的,稳定的,理想的自筹资金系统在加拿大。通过由加拿大公共安全部领导的跨学科洪水保险和搬迁工作组的工作,该研究项目将反过来成为FPT政府考虑的选项的基础,以提高加拿大对洪水和气候变化的抵御能力。在应用精算学的技术技能的同时,研究学员将获得以下重要见解:(物理)洪水过程、适应气候变化和洪水保险。随着气候变化逐渐被保险监管机构和公共政策考虑在内,研究学员和工作人员将更有能力成为公共/私营部门的国际领导者,如研究精算师,灾难风险建模师,气候数据科学家,洪水风险管理人员或治理和政策专家。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Boudreault, Mathieu其他文献
Changes in large-scale controls of Atlantic tropical cyclone activity with the phases of the Atlantic multidecadal oscillation
- DOI:
10.1007/s00382-014-2186-5 - 发表时间:
2015-04-01 - 期刊:
- 影响因子:4.6
- 作者:
Caron, Louis-Philippe;Boudreault, Mathieu;Bruyere, Cindy L. - 通讯作者:
Bruyere, Cindy L.
A Global Flood Risk Modeling Framework Built With Climate Models and Machine Learning
- DOI:
10.1029/2020ms002221 - 发表时间:
2021-04-01 - 期刊:
- 影响因子:6.8
- 作者:
Carozza, David A.;Boudreault, Mathieu - 通讯作者:
Boudreault, Mathieu
Boudreault, Mathieu的其他文献
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{{ truncateString('Boudreault, Mathieu', 18)}}的其他基金
Spatial dependence and diversification of climate extremes for global (re)insurance
全球(再)保险的极端气候的空间依赖性和多样化
- 批准号:
RGPIN-2021-03362 - 财政年份:2022
- 资助金额:
$ 3.19万 - 项目类别:
Discovery Grants Program - Individual
Spatial dependence and diversification of climate extremes for global (re)insurance
全球(再)保险的极端气候的空间依赖性和多样化
- 批准号:
RGPIN-2021-03362 - 财政年份:2021
- 资助金额:
$ 3.19万 - 项目类别:
Discovery Grants Program - Individual
Mathematical and statistical assessment of the solvency of financial institutions
金融机构偿付能力的数学和统计评估
- 批准号:
RGPIN-2016-05002 - 财政年份:2020
- 资助金额:
$ 3.19万 - 项目类别:
Discovery Grants Program - Individual
Mathematical and statistical assessment of the solvency of financial institutions
金融机构偿付能力的数学和统计评估
- 批准号:
RGPIN-2016-05002 - 财政年份:2019
- 资助金额:
$ 3.19万 - 项目类别:
Discovery Grants Program - Individual
Mathematical and statistical assessment of the solvency of financial institutions
金融机构偿付能力的数学和统计评估
- 批准号:
RGPIN-2016-05002 - 财政年份:2018
- 资助金额:
$ 3.19万 - 项目类别:
Discovery Grants Program - Individual
Mathematical and statistical assessment of the solvency of financial institutions
金融机构偿付能力的数学和统计评估
- 批准号:
RGPIN-2016-05002 - 财政年份:2017
- 资助金额:
$ 3.19万 - 项目类别:
Discovery Grants Program - Individual
Mathematical and statistical assessment of the solvency of financial institutions
金融机构偿付能力的数学和统计评估
- 批准号:
RGPIN-2016-05002 - 财政年份:2016
- 资助金额:
$ 3.19万 - 项目类别:
Discovery Grants Program - Individual
Modélisation, évaluation et gestion des risques actuariels et financiers
精算师和金融家风险的模型化、评估和管理
- 批准号:
386461-2010 - 财政年份:2015
- 资助金额:
$ 3.19万 - 项目类别:
Discovery Grants Program - Individual
Modélisation, évaluation et gestion des risques actuariels et financiers
精算师和金融家风险的模型化、评估和管理
- 批准号:
386461-2010 - 财政年份:2013
- 资助金额:
$ 3.19万 - 项目类别:
Discovery Grants Program - Individual
Modélisation, évaluation et gestion des risques actuariels et financiers
精算师和金融家风险的模型化、评估和管理
- 批准号:
386461-2010 - 财政年份:2012
- 资助金额:
$ 3.19万 - 项目类别:
Discovery Grants Program - Individual
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