|本期目录/Table of Contents|

[1]明小娜,杨健强,张原硕,等.利用遥感影像和经验估计方法初判云南省建水县房屋抗震能力[J].地震研究,2022,45(01):132-140.[doi:10.20015/j.cnki.ISSN1000-0666.2022.0014]
　MING Xiaona,YANG Jianqiang,ZHANG Yuanshuo,et al.Preliminary Assessment of the Seismic Capacity of Buildings in Jianshui County,Yunnan Province Based on Remote-sensing Images and the Empirical-estimation Method[J].Journal of Seismological Research,2022,45(01):132-140.[doi:10.20015/j.cnki.ISSN1000-0666.2022.0014]
点击复制

利用遥感影像和经验估计方法初判云南省建水县房屋抗震能力(PDF/HTML)

《地震研究》[ISSN:1000-0666/CN:53-1062/P]

卷:
45
期数:
2022年01期
页码:
132-140
栏目:
出版日期:
2022-01-20

文章信息/Info

Title:
Preliminary Assessment of the Seismic Capacity of Buildings in Jianshui County,Yunnan Province Based on Remote-sensing Images and the Empirical-estimation Method
作者:
明小娜; 杨健强; 张原硕; 于 江; 郑 川; 壮 延
(云南省地震局,云南 昆明 650224)
Author(s):
MING Xiaona; YANG Jianqiang; ZHANG Yuanshuo; YU Jiang; ZHENG Chuan; ZHUANG Yan
(Yunnan Earthquake Agency,Kunming 650224,Yunnan,China)
关键词:
房屋抗震能力;  遥感影像;  经验估计;  建水县
Keywords:
buildings’ seismic capacity;  remote-sensing images;  empirical estimation;  Jianshui Country
分类号:
P315.925
DOI:
10.20015/j.cnki.ISSN1000-0666.2022.0014
摘要:
房屋建筑破坏是地震中导致人员伤亡的主要因素,在未取得房屋详细风险调查数据的过渡时期,综合房屋结构和用途的实测资料、农危改和异地搬迁统计资料以及不同用途的房屋在影像上的几何特征和空间特征,提出了云南地区基于遥感影像和经验估计方法的房屋抗震能力等级初判方法,并在建水县开展试点应用。结果表明:建水县房屋估计抗震能力达标等级占比为8%,疑似抗震能力不足等级占比为88%,疑似抗震能力严重不足等级占比为4%。
Abstract:
Buildings’ damage is one of the main factors leading to casualties in the earthquake disaster.So far,the detailed risk survey data of the buildings in Yunnan Province have not obtained yet.We firstly analyzed the data on the structure and functions of the buildings,statistical data on rural dilapidated house renovation project and peoples’ relocation from inhospitable areas,as well as the geometric and spatial features of the houses for different purposes on image.Then we proposed a preliminary method to judge degree of the buildings’ seismic capacity in Yunnan based on remote-sensing images and empirical estimation,and we applied our method to the buildings in Jianshui County,Yunnan Province.The results prove that the houses with qualified seismic capacity account for 8%,the houses with indequate seismic capacity account for 88%,and the ones with grossly inaadequate seismic capacity account for 4%.

参考文献/References:

关泽群,刘继琳.2007.遥感图像解译[M].武汉:武汉大学出版社.
郭仁忠.2001.空间分析(第2版)[M].北京:高等教育出版社.
建水县地方志编纂委员会办公室.2018.建水年鉴(2018)[M].芒市:德宏民族出版社.
建水县人民政府.2021.建水县2020年国民经济和社会发展统计公报[EB/OL].(2021-02-16)[2021-04-15].http://www.hnjs.hh.gov.cn/zfxxgk/fdzdgknr/tjxx/202106/t20210616[KG-*3]_527692.html.
刘贾贾,刘志辉,刘龙,等.2019.基于遥感影像的农村建筑物分类[J].华北地震科学,37(4):65-72.
刘培琴.2005.建筑概论[M].北京:机械工业出版社.
明小娜,王晓青,周洋,等.2018a.基于高分卫星影像的昭通城区建筑物结构类型解译标志构建[J].测绘与空间地理信息,41(9):139-142.
明小娜,周洋,卢永坤,等.2018b.云南省砖混结构房屋震害矩阵修正研究[J].地震研究,41(4):605-613.
全国自然灾害综合风险普查技术总体组.2020.全国自然灾害综合风险普查工程(一)开展全国自然灾害综合风险普查的背景[J].中国减灾,(1):42-45.
史铁花,王翠坤,朱立新,等.2021.承灾体调查中的房屋建筑调查[J].城市与减灾,(2):24-15.
史铁花.2020.房屋抗震设防普查助力自然灾害防治“九大重点工程”[J].工程建设标准化,(5):13-15.
孙山泽.2014.抽样调查[M].北京:北京大学出版社.
解建伟.2020.3S 技术在房屋抗震普查中的应用[J].城乡建设,(17):46-48.
周洋,明小娜,杨健强,等.2021.基于历史地震的云南农居易损性矩阵分区研究[J].地震研究,44(2):283-291.
GB 50011—2019,建筑抗震设计规范[S].
GB 50023—2009,建筑抗震鉴定标准[S].[HT][FL)]

备注/Memo

备注/Memo:
收稿日期:2021-05-06
基金项目:大中城市地震灾害情景构建重点专项资助.

更新日期/Last Update: 2022-01-20