[1]A Case Study of the Yangbi MS. Earthquake].Study on the Rapid Extraction Model of Post-earthquake Shelter Sites Based on Remote Sensing Images:[WT4"]A Case Study of the Yangbi MS6.4 Earthquake[J].Journal of Seismological Research,2023,46(01):116-127.[doi:10.20015/j.cnki.ISSN1000-0666.2023.0013
]
Copy
Study on the Rapid Extraction Model of Post-earthquake Shelter Sites Based on Remote Sensing Images:[WT4"]A Case Study of the Yangbi MS6.4 Earthquake
Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume:
46
Number of periods:
2023 01
Page number:
116-127
Column:
地震地下流体监测预报理论及技术应用专栏
Public date:
2023-01-01
- Title:
- Study on the Rapid Extraction Model of Post-earthquake Shelter Sites Based on Remote Sensing Images:[WT4"]A Case Study of the Yangbi MS6.4 Earthquake
- Keywords:
- UAV images; shelter sites; object-oriented classification; GIS rasterization; the Yangbi MS6.4 Earthquake
- CLC:
- P315.9
- DOI:
- 10.20015/j.cnki.ISSN1000-0666.2023.0013
- Abstract:
- Emergency shelter sites are important for the earthquake-hit residents to evacuate and take refuge after an earthquake.Based on UAV remote sensing images,we use the object-oriented classification method and the GIS rasterization method to analyze the UAV images,thus to decide the evaluation indexes for post-earthquake shelter sites,and to build the rapid extraction model of post-earthquake shelter sites.We use our model to extract shelter sites in Yangbi County,and obtain 70 available shelters.And according to the objective function F,we obtain 5 optimal shelters.We compare our results with the actual shelter sites chosen by the local residents after the Yangbi MS6.4 Earthquake.The number of tents put up on 5 shelter sites after the Yangbi MS6.4 Earthquake was 72,55,54,30 and 44,respectively.The calculated results from the model match with the actual situation.
- References:
-
陈晋,习聪望,陈文凯,等.2018.基于无人机、高分卫星遥感影像的甘肃省陇南市建筑物空间化研究[J].地震研究,41(2):192-200.
杜浩国,林旭川,张方浩,等.2021a.基于蚁群优化算法的应急避难场所选址模型研究[J].自然灾害学报,30(2):89-101.
杜浩国,林旭川,张建国,等.2021b.基于改进蚁群算法与无人机影像的震害识别方法及其在漾濞地震中的应用[J].地震地质,43(4):1013-1029.
杜浩国,张方浩,卢永坤,等.2021c.基于无人机影像的面向对象建筑物结构分级提取方法研究[J].地震研究,44(2):262-274.
杜浩国,张方浩,卢永坤,等.2021d.基于多源遥感影像的2021年云南漾濞MS6.4地震灾区建筑物信息识别与震害分析[J].地震研究,44(3):490-498.
黄慧萍,吴炳方.2003.地物提取的多尺度特征遥感应用分析[J].遥感技术与应用,18(5):276-281.
李强,张景发.2016.不同特征融合的震后损毁建筑物识别研究[J].地震研究,39(3):486-493.
卢永华,李爽.2019.改进G2SFCA的深圳市室内应急避难场所空间可达性研究[J].武汉大学学报(信息科学版),44(9):1391-1398.
卢永坤,张建国,张方浩,等.2021.2021年云南漾濞MS6.4地震烈度与震害特征[J].地震研究,44(3):429-438.
吕伟,韩业凡,周雯楠,等.2022.避难场所适宜性评价及服务范围空间相关性分析[J/OL].(2022-03-20)[2022-03-21].安全与环境学报,1-10.DOI:10.13637/j.issn.1009-6094.
魏本勇,董翔,谭庆全,等.2022.基于避难场所容量限制的地震应急疏散路径分析[J].地震研究,45(1):141-149.
魏本勇,谭庆全,李晓丽.2019.北京市应急避难场所的空间布局与服务效能评估[J].地震研究,42(2):295-303.
宴金旭,肖本夫,张露露,等.2021.云南漾濞MS6.4地震土木结构房屋震害分析[J].华南地震,41(3):71-75.
曾涛,杨武年,黎小东,等.2010.面向对象的高空间分辨率遥感影像城市震害房屋信息提取——以汶川地震为例[J].自然灾害学报,19(5):82-87.
张露露,何雅枫,宴金旭,等.2021.基于无人机影像的漾濞地震房屋震害定量评估[J].华南地震,41(3):76-81.
钟光淳,翟国方,毕雪梅,等.2022.校园人群应急疏散行为及其影响因素研究[J].地震研究,45(1):150-159.
钟江荣,张令心,沈俊凯.2021.基于震害资料的云南地区砌体结构易损性研究[J].华南地震,41(1):108-116.
Geng S Q,Hou H P,Zhang S G.2020.Multi-criteria location model of emergency shelters in humanitarian logistics[J].Sustainability,12(5):1759.
Huang Y H,Yin Z N,Chu H.2019.Suitability assessment of emergency shelters based on GIS:A case study in urban function optimization area of Shanghai[J].IOP Conference Series:Earth and Environmental Science,234(1):012039.
Mesrop A.2020.Algorithmic design and evaluation of emergency shelters[J].Architectural Engineering and Design Management,17(3-4):1-13.
Su H R,Chen W K,Cheng M.2021.Using the variable two-step floating catchment area method to measure the potential spatial accessibility of urban emergency shelters[J].Geo Journal,87(4):2625-2639.
Yao Y B,Zhang Y Y,Yao T Y, et al.2021.A GIS-based system for spatial-temporal availability evaluation of the open spaces used as emergency shelters:the case of Victoria,British Columbia,Canada[J].International Journal of Geo-Information,10(2):63.
- Similar References:
Memo
-
Last Update:
2023-01-01