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MODELLING OF FUTURE FLOOD RISK ACROSS CANADA DUE TO CLIMATE CHANGE

机译:气候变化对加拿大未来洪水风险的建模

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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 flood timing.
机译:气候变化导致加拿大关键气候变量和水文循环发生变化。随着温室气体的不断排放,这种趋势预计将在21世纪及以后的时期中持续下去。在这项研究中,使用宏观尺度的水动力模型来模拟加拿大历史时间(1961-2005)和未来时间(2061-2100)时间轴分辨率为25 km的日流量。分析了四个代表性浓度路径(RCP)后的21种一般气候模式(GCM)的未来预测。分析了历史上100年和250年回归期洪水事件的频率和大小变化以及高峰流量出现月份。从两个回归期洪水事件的不确定性分析获得的结果发现,加拿大北部,安大略省南部,不列颠哥伦比亚省南部,艾伯塔省北部,曼尼托巴省和萨斯喀彻温省的大部分地区,洪水频率将增加。但是,不列颠哥伦比亚省北部,安大略省北部,曼尼托巴省和魁北克省东北部将面临洪水频率的下降。综合结果表明,阿尔伯塔省,萨斯喀彻温省,曼尼托巴省,魁北克省,安大略省南部以及努纳武特和育空地区的某些地区的夏季初极端流量,而不列颠哥伦比亚省的预测主要是冬季洪水增加。加拿大100个人口最多的城市和流量调节基础设施(FRI)的预计洪水灾害变化可用于量化未来洪水风险的变化。结果表明,在加拿大的100个人口最多的城市中,有40-60%的城市(包括多伦多和蒙特利尔等许多著名城市)在气候变化下面临着河流泛滥的高风险。在分析的1,072个FRI中,预计将来会有45-60%的洪水幅度增加,而预计会有25-60%的洪水时间会发生变化。

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