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基于优势分析法的青海省境内大风对房屋建筑致灾因子分析

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利用青海省 2012-2022 年间 55 个地面观测站的风速资料和 91 例大风灾情数据,以房屋(包括居住房屋及畜棚、帐篷等)为承灾体,依据优势分析法确定致灾因子的影响权重。结果表明:青海省风灾损害房屋事件次数 90%以上出现在青南地区,空间分布上总体呈现南多北少的特征,且多发于高海拔地区,果洛州玛多县高达 33 例。过程期间风速超过 17。1 m/s的时间完全优势于过程最大风速和过程平均风速,而过程最大风速总体优势于过程平均风速。导致大风灾害的三个致灾因子中,风速超过 17。1 m/s的时间对房屋损害的影响权重最大,为 67。16%;过程最大风速次之,为 17。91%;过程平均速度最低,为 15。22%。分析结果对青海省大风灾害的防御及后续建立风灾影响评估模型可提供一定的参考依据。
Analysis of Causative Factors of High Wind on Housing Construction in Qinghai Province Based on Dominance Analysis Method
Based on the wind speed data of 55 ground observation stations and 91 cases of gale disasters in Qinghai Province from 2012 to 2022,this paper takes houses(including residential houses,livestock sheds,tents,etc.)as the disaster-bearing body,and determines the influence weight of disaster-causing factors according to dominance analysis method.The results showed that more than 90%of the incidents of wind damage occurred in southern Qinghai Province,and the spatial distribution generally showed the characteristics of more in the south and less in the north,and most of them occurred in high-altitude areas,with as many as 33 cases in Maduo County,Golok Prefecture 67.16%,followed by the maximum wind speed of 17.91%,and the lowest average speed of 15.22%.The results of this study can provide a certain reference for the subsequent establishment of wind disaster impact assessment model.

Wind disasterHousingCausative factorsDominance analysis

赵明璐、晁乾红、祁彩虹

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青海省气象台,西宁 810001

风灾 房屋 致灾因子 优势分析法

青海省气象台研究课题

STZL2023-09

2024

青海科技
青海省科学技术厅

青海科技

影响因子:0.052
ISSN:1005-9393
年,卷(期):2024.31(3)
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