Cargando…

Automatic Recognition of Seismic Intensity Based on RS and GIS: A Case Study in Wenchuan Ms8.0 Earthquake of China

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. Co...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Qiuwen, Zhang, Yan, Yang, Xiaohong, Su, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3932210/
https://www.ncbi.nlm.nih.gov/pubmed/24688445
http://dx.doi.org/10.1155/2014/878149
_version_ 1782304763051769856
author Zhang, Qiuwen
Zhang, Yan
Yang, Xiaohong
Su, Bin
author_facet Zhang, Qiuwen
Zhang, Yan
Yang, Xiaohong
Su, Bin
author_sort Zhang, Qiuwen
collection PubMed
description 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.
format Online
Article
Text
id pubmed-3932210
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-39322102014-03-31 Automatic Recognition of Seismic Intensity Based on RS and GIS: A Case Study in Wenchuan Ms8.0 Earthquake of China Zhang, Qiuwen Zhang, Yan Yang, Xiaohong Su, Bin ScientificWorldJournal Research Article 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. Hindawi Publishing Corporation 2014-02-03 /pmc/articles/PMC3932210/ /pubmed/24688445 http://dx.doi.org/10.1155/2014/878149 Text en Copyright © 2014 Qiuwen Zhang et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhang, Qiuwen
Zhang, Yan
Yang, Xiaohong
Su, Bin
Automatic Recognition of Seismic Intensity Based on RS and GIS: A Case Study in Wenchuan Ms8.0 Earthquake of China
title Automatic Recognition of Seismic Intensity Based on RS and GIS: A Case Study in Wenchuan Ms8.0 Earthquake of China
title_full Automatic Recognition of Seismic Intensity Based on RS and GIS: A Case Study in Wenchuan Ms8.0 Earthquake of China
title_fullStr Automatic Recognition of Seismic Intensity Based on RS and GIS: A Case Study in Wenchuan Ms8.0 Earthquake of China
title_full_unstemmed Automatic Recognition of Seismic Intensity Based on RS and GIS: A Case Study in Wenchuan Ms8.0 Earthquake of China
title_short Automatic Recognition of Seismic Intensity Based on RS and GIS: A Case Study in Wenchuan Ms8.0 Earthquake of China
title_sort automatic recognition of seismic intensity based on rs and gis: a case study in wenchuan ms8.0 earthquake of china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3932210/
https://www.ncbi.nlm.nih.gov/pubmed/24688445
http://dx.doi.org/10.1155/2014/878149
work_keys_str_mv AT zhangqiuwen automaticrecognitionofseismicintensitybasedonrsandgisacasestudyinwenchuanms80earthquakeofchina
AT zhangyan automaticrecognitionofseismicintensitybasedonrsandgisacasestudyinwenchuanms80earthquakeofchina
AT yangxiaohong automaticrecognitionofseismicintensitybasedonrsandgisacasestudyinwenchuanms80earthquakeofchina
AT subin automaticrecognitionofseismicintensitybasedonrsandgisacasestudyinwenchuanms80earthquakeofchina