Proceedings of the 9th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2020)

Research on Earthquake Disaster Background Data in Spatial Information Diffusion Model

Authors
Rundong Wang, Chongfu Huang
Corresponding Author
Chongfu Huang
Available Online 12 April 2021.
DOI
10.2991/aebmr.k.210409.018How to use a DOI?
Keywords
Background data, Geospatial Information Diffusion, CiteSpace, Rapid Disaster Assessment
Abstract

When a major natural disaster occurs, the data in the disaster area is usually incomplete and information islands may appear. Considering the time required by the on-site survey statistical methods, geospatial information diffusion models can be used to infer the rescue needs of information islands. The basic principle is to spread the disaster information around the information island to the information island. Data that is related to rescue needs and can be collected before a disaster occurs is called background data. The background data in each geographic unit in the disaster area played a role as a bridge for information diffusion. The rapid assessment of earthquake disasters is an important basis for earthquake emergency response and government decision-making, and reliable rapid assessment of earthquake disasters is of great significance to improving earthquake emergency response capabilities. The rapid earthquake disaster assessment is an emergency assessment based on the preparation of the preliminary data and the difficulty of obtaining the post-disaster data, starting from the time of the earthquake. Under the requirements of rapid disaster assessment, what needs to be sought is a simple and efficient relationship that meets certain accuracy requirements, so that the rapid assessment of the disaster situation can be carried out based on easily accessible or available indicators in advance. This paper uses the literature analysis method and uses CiteSpace to study the high-frequency co-occurrence keywords in the field of earthquake disaster loss assessment from 1996 to 2020 and the evolution of research hotspots in the field from 2010 to 2020, and obtain parameters that can be used as background data.

Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 9th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2020)
Series
Advances in Economics, Business and Management Research
Publication Date
12 April 2021
ISBN
978-94-6239-363-9
ISSN
2352-5428
DOI
10.2991/aebmr.k.210409.018How to use a DOI?
Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Rundong Wang
AU  - Chongfu Huang
PY  - 2021
DA  - 2021/04/12
TI  - Research on Earthquake Disaster Background Data in Spatial Information Diffusion Model
BT  - Proceedings of the 9th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2020)
PB  - Atlantis Press
SP  - 115
EP  - 120
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.210409.018
DO  - 10.2991/aebmr.k.210409.018
ID  - Wang2021
ER  -