Journal of Risk Analysis and Crisis Response

Volume 8, Issue 4, December 2018, Pages 192 - 198

A Study of Seismic Macroeconomic Losses Based on Monte Carlo Method—Take Tangshan City as an Example

Authors
Qing Wu, Mengtan Gao
Corresponding Author
Qing Wu
Received 26 October 2018, Accepted 10 November 2018, Available Online 31 December 2018.
DOI
10.2991/jrarc.2018.8.4.3How to use a DOI?
Keywords
Monte Carlo method, macroeconomic vulnerability model, exceeding probability curve
Abstract

The Monte Carlo method is used to simulate seismic sequences. For each earthquake in the sequence, the ground motion parameters of each site are calculated by the attenuation relationship, which is introduced into the vulnerability of the macroeconomic with GDP loss as an indicator. The model gives the exceeding probability curve of macroeconomic losses. This method provides a straightforward way to estimate the level of economic loss of a city in future earthquakes. It is of great importance to decision-making reference for formulating the corresponding earthquake prevention and mitigation countermeasures at present stage, and also provides a reference for insurance companies to determine the rates.

Copyright
© 2019, 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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Journal
Journal of Risk Analysis and Crisis Response
Volume-Issue
8 - 4
Pages
192 - 198
Publication Date
2018/12/31
ISSN (Online)
2210-8505
ISSN (Print)
2210-8491
DOI
10.2991/jrarc.2018.8.4.3How to use a DOI?
Copyright
© 2019, 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  - JOUR
AU  - Qing Wu
AU  - Mengtan Gao
PY  - 2018
DA  - 2018/12/31
TI  - A Study of Seismic Macroeconomic Losses Based on Monte Carlo Method—Take Tangshan City as an Example
JO  - Journal of Risk Analysis and Crisis Response
SP  - 192
EP  - 198
VL  - 8
IS  - 4
SN  - 2210-8505
UR  - https://doi.org/10.2991/jrarc.2018.8.4.3
DO  - 10.2991/jrarc.2018.8.4.3
ID  - Wu2018
ER  -