首站-论文投稿智能助手
典型文献
Amplification of Flood Risks by the Compound Effects of Precipitation and Storm Tides Under the Nonstationary Scenario in the Coastal City of Haikou,China
文献摘要:
In the context of climate change,coastal cit-ies are at increased risk of extreme precipitation and sea level rise,and their interaction will aggravate coastal floods.Understanding the potential change of compound floods is valuable for flood risk reduction.In this study,an integrated approach coupling the hydrological model and copula-based design of precipitation and storm tides was proposed to assess the compound flood risk in a coastal city—Hai-kou,China.The copula model,most-likely weight function,and varying parameter distribution were used to obtain the combined design values of precipitation and storm tides under the nonstationary scenario,which were applied to the boundary conditions of the 1D-2D hydrological model.Sub-sequently,the change of the bivariate return periods,design values,and compound flood risks of precipitation and storm tides were investigated.The results show that the bivariate return period of precipitation and storm tides was reduced by an average of 34%under the nonstationary scenario.The maximum inundation areas and volumes were increased by an average of 31.1%and 45.9%respectively in comparison with the stationary scenario.Furthermore,we identified that the compound effects of precipitation and storm tides would have a greater influence on the flood risk when the bivariate return period is more than 50 years,and the peak time lag had a significant influence on the compound flood risk.The proposed framework is effective in the evaluation and pre-diction of flood risk in coastal cities,and the results provide some guidance for urban disaster prevention and mitigation.
文献关键词:
作者姓名:
Hongshi Xu;Xi Zhang;Xinjian Guan;Tianye Wang;Chao Ma;Denghua Yan
作者机构:
Yellow River Laboratory,Zhengzhou University,Zhengzhou 450001,China;Institute of Hydropower and Hydroinformatics,Dalian University of Technology,Dalian 116024,China;State Key Laboratory of Hydraulic Engineering Simulation and Safety,Tianjin University,Tianjin 300350,China;China Institute of Water Resources and Hydropower Research,Beijing 100038,China
引用格式:
[1]Hongshi Xu;Xi Zhang;Xinjian Guan;Tianye Wang;Chao Ma;Denghua Yan-.Amplification of Flood Risks by the Compound Effects of Precipitation and Storm Tides Under the Nonstationary Scenario in the Coastal City of Haikou,China)[J].国际灾害风险科学学报(英文版),2022(04):602-620
A类:
Nonstationary,Haikou,kou
B类:
Amplification,Flood,Risks,by,Compound,Effects,Precipitation,Storm,Tides,Scenario,Coastal,City,China,In,context,climate,change,coastal,increased,extreme,precipitation,sea,level,rise,their,interaction,will,aggravate,floods,Understanding,potential,compound,valuable,reduction,this,study,integrated,approach,coupling,hydrological,model,copula,design,storm,tides,was,proposed,assess,city,most,likely,weight,function,varying,parameter,distribution,were,used,obtain,combined,values,under,nonstationary,scenario,which,applied,boundary,conditions,1D,2D,Sub,sequently,bivariate,return,periods,risks,investigated,results,show,that,reduced,average,maximum,inundation,areas,volumes,respectively,comparison,Furthermore,identified,effects,would,have,greater,influence,when,than,years,peak,lag,had,significant,framework,effective,evaluation,diction,cities,provide,some,guidance,urban,disaster,prevention,mitigation
AB值:
0.482838
相似文献
Remote Sensing-based Spatiotemporal Distribution of Grassland Aboveground Biomass and Its Response to Climate Change in the Hindu Kush Himalayan Region
XU Cong;LIU Wenjun;ZHAO Dan;HAO Yanbin;XIA Anquan;YAN Nana;ZENG Yuan-State Key Laboratory of Remote Sensing Science,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100101,China;University of Chinese Academy of Sciences,Beijing 100049,China;School of Ecology and Environmental Sci-ences&Yunnan Key Laboratory for Plateau Mountain Ecology and Restoration of Degraded Environments,Yunnan University,Kun-ming 650091,China;College of Life Sciences,University of Chinese Academy of Sciences,Beijing 100049,China;CAS Center for Excellence in Tibetan Plateau Earth Sciences,Chinese Academy of Sciences,Beijing 100101,China;Beijing Yanshan Earth Critical Zone National Research Station,University of Chinese Academy of Sciences,Beijing 101408,China;College of Resources and Envir-onment,University of Chinese Academy of Sciences,Beijing 100049,China
机标中图分类号,由域田数据科技根据网络公开资料自动分析生成,仅供学习研究参考。