MODELLING OF FUTURE FLOOD RISK ACROSS CANADA DUE TO CLIMATE CHANGE

Ayushi Gaur, A. Gaur, S. Simonovic
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引用次数: 1

Abstract

Climate change has induced changes in key climate variables and hydrological cycles across Canada. With continuous emission of greenhouse gases, this trend is expected to continue over the 21st century and beyond. In this study, a macro-scaled hydrodynamic model is used to simulate 25 km resolution daily streamflow across Canada for historical (1961–2005) and future (2061–2100) timelines. Future projections from 21 General Climate Models (GCMs) following four Representative Concentration Pathways (RCPs) are used for analysis. Changes in the frequency and magnitude of historical 100-year and 250-year return period flood events and month of occurrence of peak flow are analyzed. Results obtained from uncertainty analysis for both return period flood events found that flood frequency will increase in most of northern Canada, southern Ontario, southern British Columbia, northern Alberta, Manitoba and Saskatchewan. However, northern British Columbia, northern Ontario, Manitoba and north-eastern Quebec will be facing a decrease in flood frequency. Aggregated results indicate early summertime extreme flows in the regions such as Alberta, Saskatchewan, Manitoba, Quebec, southern Ontario and some parts of Nunavut and Yukon territories, whereas the British Columbia region is mostly projected with increases in wintertime flooding. The projected flood hazard changes at 100 most populous Canadian cities and flow regulation infrastructure (FRI) are used to quantify future changes in flood risk. Results indicate that 40–60% of Canada’s 100 most populated cities including many prominent cities such as Toronto and Montreal are high at risk of increased riverine flooding under climate change. Among the 1,072 FRIs analyzed, 45–60% of them can be expected to experience increases in flood magnitudes in the future whereas 25–60% of them can be expected to experience changes in
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气候变化对未来加拿大洪水风险的模拟
气候变化引起了加拿大主要气候变量和水文循环的变化。随着温室气体的不断排放,这一趋势预计将在21世纪及以后继续下去。在本研究中,采用宏观尺度水动力模型模拟了加拿大历史(1961-2005)和未来(2061-2100)时间线的25公里分辨率日流量。采用21个一般气候模式(GCMs)根据4个代表性浓度路径(rcp)的未来预估进行分析。分析了历史百年一遇和250年一遇洪水事件的发生频率、规模和洪峰发生月份的变化。对两次回归期洪水事件的不确定性分析结果发现,加拿大北部大部分地区、安大略省南部、不列颠哥伦比亚省南部、阿尔伯塔省北部、马尼托巴省和萨斯喀彻温省的洪水频率将增加。然而,不列颠哥伦比亚省北部、安大略省北部、马尼托巴省和魁北克省东北部将面临洪水频率下降的问题。综合结果表明,在阿尔伯塔省、萨斯喀彻温省、马尼托巴省、魁北克省、安大略省南部以及努纳武特和育空地区的部分地区,夏初出现了极端洪水,而不列颠哥伦比亚省的冬季洪水预计会增加。通过预测加拿大100个人口最多的城市的洪水灾害变化和流量调节基础设施(FRI)来量化未来洪水风险的变化。结果表明,在加拿大100个人口最多的城市中,包括多伦多和蒙特利尔等许多著名城市,40%至60%的城市在气候变化下面临河流洪水增加的高风险。在分析的1,072个fri中,预计45-60%的fri在未来可能会经历洪水强度的增加,而25-60%的fri在未来可能会经历洪水强度的变化
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