基于移动电话基站的地震烈度区域及影响场向快速评估方法

Shuang Cao, Yulong Wang, Xiaoxiang Wang, Qi Li
{"title":"基于移动电话基站的地震烈度区域及影响场向快速评估方法","authors":"Shuang Cao, Yulong Wang, Xiaoxiang Wang, Qi Li","doi":"10.1109/ICCCS49078.2020.9118509","DOIUrl":null,"url":null,"abstract":"Rapid assessment of disaster information such as seismic intensity area and affecting field direction after an earthquake is important for rescue. However, seismic equipment has limited coverage and need a long time to assess disasters. Compared to seismic equipment, mobile phone base stations have wider coverage, higher density, and faster response to the damage, which can be used to quickly assess earthquake disasters. Existing methods only take damaged base stations into calculation and treat them as identical, but they should have different contributions in different conditions. In our algorithm, both damaged base stations and normal base stations are considered altogether. In order to make full use of the information, we increase the sampling points, reasonably calculate by kernel density method, and propose the concept of “damage ratio” to determine the weight of all points. Finally, the weighted standard deviation ellipse algorithm is used to obtain the seismic intensity area and affecting field direction. This method can be verified to be better than the traditional method through the real earthquake case.","PeriodicalId":105556,"journal":{"name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Rapid Assessment Method for Seismic Intensity Area and Affecting Field Direction Using Mobile Phone Base Stations\",\"authors\":\"Shuang Cao, Yulong Wang, Xiaoxiang Wang, Qi Li\",\"doi\":\"10.1109/ICCCS49078.2020.9118509\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Rapid assessment of disaster information such as seismic intensity area and affecting field direction after an earthquake is important for rescue. However, seismic equipment has limited coverage and need a long time to assess disasters. Compared to seismic equipment, mobile phone base stations have wider coverage, higher density, and faster response to the damage, which can be used to quickly assess earthquake disasters. Existing methods only take damaged base stations into calculation and treat them as identical, but they should have different contributions in different conditions. In our algorithm, both damaged base stations and normal base stations are considered altogether. In order to make full use of the information, we increase the sampling points, reasonably calculate by kernel density method, and propose the concept of “damage ratio” to determine the weight of all points. Finally, the weighted standard deviation ellipse algorithm is used to obtain the seismic intensity area and affecting field direction. This method can be verified to be better than the traditional method through the real earthquake case.\",\"PeriodicalId\":105556,\"journal\":{\"name\":\"2020 5th International Conference on Computer and Communication Systems (ICCCS)\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 5th International Conference on Computer and Communication Systems (ICCCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCS49078.2020.9118509\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCS49078.2020.9118509","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

地震发生后,快速评估地震烈度、震区及影响场向等灾害信息对救援具有重要意义。然而,地震设备的覆盖范围有限,需要很长时间来评估灾害。与地震设备相比,手机基站的覆盖范围更广,密度更高,对破坏的响应速度更快,可以用来快速评估地震灾害。现有的方法只是将受损基站作为相同的基站进行计算,但在不同的条件下,它们的贡献应该是不同的。该算法同时考虑了受损基站和正常基站。为了充分利用这些信息,我们增加了采样点,用核密度法合理计算,并提出了“损伤比”的概念来确定各点的权重。最后,采用加权标准差椭圆算法得到地震烈度区域和影响场方向。通过实际地震实例验证了该方法优于传统方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Rapid Assessment Method for Seismic Intensity Area and Affecting Field Direction Using Mobile Phone Base Stations
Rapid assessment of disaster information such as seismic intensity area and affecting field direction after an earthquake is important for rescue. However, seismic equipment has limited coverage and need a long time to assess disasters. Compared to seismic equipment, mobile phone base stations have wider coverage, higher density, and faster response to the damage, which can be used to quickly assess earthquake disasters. Existing methods only take damaged base stations into calculation and treat them as identical, but they should have different contributions in different conditions. In our algorithm, both damaged base stations and normal base stations are considered altogether. In order to make full use of the information, we increase the sampling points, reasonably calculate by kernel density method, and propose the concept of “damage ratio” to determine the weight of all points. Finally, the weighted standard deviation ellipse algorithm is used to obtain the seismic intensity area and affecting field direction. This method can be verified to be better than the traditional method through the real earthquake case.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信