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...
Autores principales: | , , , |
---|---|
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 |