• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于遥感(RS)和地理信息系统(GIS)的地震烈度自动识别:以中国汶川Ms8.0级地震为例

Automatic recognition of seismic intensity based on RS and GIS: a case study in Wenchuan Ms8.0 earthquake of China.

作者信息

Zhang Qiuwen, Zhang Yan, Yang Xiaohong, Su Bin

机构信息

Center for Digital Engineering and Simulation, Huazhong University of Science and Technology, 1037 Luoyu Road, Hongshan District, Wuhan 430074, China.

出版信息

ScientificWorldJournal. 2014 Feb 3;2014:878149. doi: 10.1155/2014/878149. eCollection 2014.

DOI:10.1155/2014/878149
PMID:24688445
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3932210/
Abstract

In recent years, earthquakes have frequently occurred all over the world, which caused huge casualties and economic losses. It is very necessary and urgent to obtain the seismic intensity map timely so as to master the distribution of the disaster and provide supports for quick earthquake relief. Compared with traditional methods of drawing seismic intensity map, which require many investigations in the field of earthquake area or are too dependent on the empirical formulas, spatial information technologies such as Remote Sensing (RS) and Geographical Information System (GIS) can provide fast and economical way to automatically recognize the seismic intensity. With the integrated application of RS and GIS, this paper proposes a RS/GIS-based approach for automatic recognition of seismic intensity, in which RS is used to retrieve and extract the information on damages caused by earthquake, and GIS is applied to manage and display the data of seismic intensity. The case study in Wenchuan Ms8.0 earthquake in China shows that the information on seismic intensity can be automatically extracted from remotely sensed images as quickly as possible after earthquake occurrence, and the Digital Intensity Model (DIM) can be used to visually query and display the distribution of seismic intensity.

摘要

近年来,世界各地地震频发,造成了巨大的人员伤亡和经济损失。及时获取地震烈度图对于掌握灾情分布、为快速抗震救灾提供支持非常必要且紧迫。与传统绘制地震烈度图的方法相比,传统方法需要在地震区域进行大量实地调查或过于依赖经验公式,遥感(RS)和地理信息系统(GIS)等空间信息技术能够提供快速且经济的方式来自动识别地震烈度。通过RS和GIS的集成应用,本文提出了一种基于RS/GIS的地震烈度自动识别方法,其中RS用于检索和提取地震造成的破坏信息,GIS则用于管理和显示地震烈度数据。中国汶川Ms8.0地震的案例研究表明,地震发生后能够尽快从遥感影像中自动提取地震烈度信息,并且数字烈度模型(DIM)可用于直观查询和显示地震烈度分布。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c28/3932210/171aaa85c126/TSWJ2014-878149.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c28/3932210/7e9eb2a9d38b/TSWJ2014-878149.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c28/3932210/867b991a208a/TSWJ2014-878149.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c28/3932210/2904f3f6cc77/TSWJ2014-878149.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c28/3932210/3b7ce8155344/TSWJ2014-878149.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c28/3932210/424489dac835/TSWJ2014-878149.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c28/3932210/171aaa85c126/TSWJ2014-878149.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c28/3932210/7e9eb2a9d38b/TSWJ2014-878149.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c28/3932210/867b991a208a/TSWJ2014-878149.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c28/3932210/2904f3f6cc77/TSWJ2014-878149.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c28/3932210/3b7ce8155344/TSWJ2014-878149.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c28/3932210/424489dac835/TSWJ2014-878149.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c28/3932210/171aaa85c126/TSWJ2014-878149.006.jpg

相似文献

1
Automatic recognition of seismic intensity based on RS and GIS: a case study in Wenchuan Ms8.0 earthquake of China.基于遥感(RS)和地理信息系统(GIS)的地震烈度自动识别:以中国汶川Ms8.0级地震为例
ScientificWorldJournal. 2014 Feb 3;2014:878149. doi: 10.1155/2014/878149. eCollection 2014.
2
A Rapid Public Health Needs Assessment Framework for after Major Earthquakes Using High-Resolution Satellite Imagery.利用高分辨率卫星图像进行大地震后的快速公共卫生需求评估框架。
Int J Environ Res Public Health. 2018 May 30;15(6):1111. doi: 10.3390/ijerph15061111.
3
Application of Mobile Signaling Data in Determining the Seismic Influence Field: A Case Study of the 2017 Mw 6.5 Jiuzhaigou Earthquake, China.利用移动信令数据确定地震影响场:以 2017 年中国九寨沟 Mw6.5 地震为例。
Int J Environ Res Public Health. 2022 Aug 27;19(17):10697. doi: 10.3390/ijerph191710697.
4
Application of Convolutional Neural Network to GIS and Physics.卷积神经网络在 GIS 和物理中的应用。
Comput Intell Neurosci. 2022 Jul 19;2022:8559343. doi: 10.1155/2022/8559343. eCollection 2022.
5
The effect of provincial policies on seismic disaster mitigation in China: An empirical study.省级政策对中国减轻地震灾害的影响:一项实证研究。
PLoS One. 2024 Jul 9;19(7):e0306867. doi: 10.1371/journal.pone.0306867. eCollection 2024.
6
Rapid Estimation of Earthquake Fatalities in Mainland China Based on Physical Simulation and Empirical Statistics-A Case Study of the 2021 Yangbi Earthquake.基于物理模拟和经验统计的中国大陆地震死亡人数快速估算——以 2021 年漾濞地震为例。
Int J Environ Res Public Health. 2022 Jun 2;19(11):6820. doi: 10.3390/ijerph19116820.
7
A Promising Tool to Assess Long Term Public Health Effects of Natural Disasters: Combining Routine Health Survey Data and Geographic Information Systems to Assess Stunting after the 2001 Earthquake in Peru.一种评估自然灾害长期公共卫生影响的有前景的工具:结合常规健康调查数据和地理信息系统评估2001年秘鲁地震后的发育迟缓情况
PLoS One. 2015 Jun 19;10(6):e0130889. doi: 10.1371/journal.pone.0130889. eCollection 2015.
8
A Deep Learning-Based Electromagnetic Signal for Earthquake Magnitude Prediction.基于深度学习的地震震级预测电磁信号。
Sensors (Basel). 2021 Jun 28;21(13):4434. doi: 10.3390/s21134434.
9
Historical Earthquakes and Their Socioeconomic Consequences in China: 1950⁻2017.中国历史地震及其社会经济影响:1950-2017 年。
Int J Environ Res Public Health. 2018 Dec 3;15(12):2728. doi: 10.3390/ijerph15122728.
10
Seismic multi-hazard and impact estimation via causal inference from satellite imagery.基于卫星图像的因果推理进行地震多灾害及影响估计。
Nat Commun. 2022 Dec 17;13(1):7793. doi: 10.1038/s41467-022-35418-8.

引用本文的文献

1
Real World Effectiveness of Information and Communication Technologies in Disaster Relief: A Systematic Review.信息通信技术在救灾中的实际效果:一项系统综述
Iran J Public Health. 2020 Oct;49(10):1813-1826. doi: 10.18502/ijph.v49i10.4678.

本文引用的文献

1
Retrospective image correction in the presence of nonlinear temporal magnetic field changes using multichannel navigator echoes.使用多通道导航回波进行存在非线性时变磁场变化时的回顾性图像校正。
Magn Reson Med. 2012 Dec;68(6):1836-45. doi: 10.1002/mrm.24202. Epub 2012 Feb 23.
2
MAGNITUDE AND ENERGY OF EARTHQUAKES.地震的震级与能量
Science. 1936 Feb 21;83(2147):183-5. doi: 10.1126/science.83.2147.183.