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Flash flood disaster risk evaluation based on geographic detector and interval number ranking method
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作者 Xiao Liu Ronghua Liu +1 位作者 Xiaolei Zhang Qi Liu 《River》 2025年第2期162-176,共15页
Among natural disasters,flash floods are the most destructive events,causing signif-icant damage to the economy and posing a serious threat to human life and property.Comprehensive risk assessment of these sudden floo... Among natural disasters,flash floods are the most destructive events,causing signif-icant damage to the economy and posing a serious threat to human life and property.Comprehensive risk assessment of these sudden floods is a key strategy to mitigate their impact.Accurate analysis of flash flood hazards can greatly enhance prevention efforts and inform critical decision-making processes,ultimately improving our ability to protect communities from these fast-onset disasters.This study analyzed the driving forces of flash flood disaster-causing factors in Heilongjiang Province.Meanwhile,nine different categories of variables affecting the occurrence of flash floods were selected,and the degree of influence of each driving factor on flash floods was quantitatively analyzed,and the driving force analysis of the driving factors of flash floods in Hei-longjiang Province was carried out by using the geographic probe model.This paper employs an uncertainty approach,utilizing a statistical-based interval weight deter-mination technique for evaluation indices and a two-dimensional information-based interval number sorting method.These methodologies are combined to construct a comprehensive flash flood risk assessment model.On this basis,the model was implemented in six regions within China's Heilongjiang province to evaluate and prioritize flash flood risks.The resulting risk ranking for these areas was as follows:Bayan≻Shuangcheng≻Boli≻Suibin≻Hailun≻Yian.The findings demonstrate that the interval number-based evaluation method effectively handles uncertainty,providing a more reliable risk grading system.This approach,by leveraging modern scientific advances and risk quantification techniques,is crucial for improving disaster management and mitigating flash flood impacts. 展开更多
关键词 advantage degree function flash flood flash flood risk evaluation RANKING
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The advancement of composite materials in future biomedical technologies 被引量:1
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作者 Wei Xia Song Chen Bin Li 《Biomaterials Translational》 2025年第4期483-485,共3页
Composite materials are becoming essential in solving medical technology challenges due to their ability to integrate the functional advantages of ceramics,polymers,metals,and natural components.Unlike monolithic mate... Composite materials are becoming essential in solving medical technology challenges due to their ability to integrate the functional advantages of ceramics,polymers,metals,and natural components.Unlike monolithic materials,composites offer tunability,making them central to emerging innovations in medical devices,tissue engineering,and drug delivery.This commentary explores how composites can pave the way for next-generation biomedical technologies and highlights current translational bottlenecks. 展开更多
关键词 medical technology challenges translational bottlenecks integrate functional advantages medical devicestissue engineeringand drug deliverythis biomedical technologies natural componentsunlike composite materials
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