Preprints
https://doi.org/10.5194/nhess-2018-187
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-2018-187
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Status: this discussion paper is a preprint. It has been under review for the journal Natural Hazards and Earth System Sciences (NHESS). The manuscript was not accepted for further review after discussion.
Quantification of uncertainty in rapid estimation of earthquake fatalities based on scenario analysis
Abstract. The rapid estimation of earthquake fatalities using earthquake parameters is the core basis for emergency response. However, there are numerous factors affecting earthquake fatalities, and it is impossible to obtain an accurate estimation result. The key to solve this problem is quantifying the uncertainty. In this paper, we proposed a new method to estimate earthquake fatalities and quantify the uncertainty based on basic earthquake emergency scenarios. The accuracy of the model is verified by earthquake that occurred during recent year. The preliminary analysis and comparison results show that the model is more effective and reasonable and can also provide a theoretical basis for post-earthquake emergency response.
How to cite. Zhang, X., Zhao, H., Wang, F., Yan, Z., Cai, S., and Mei, X.: Quantification of uncertainty in rapid estimation of earthquake fatalities based on scenario analysis, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2018-187, 2018.
Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Download & links
Download & links
- Preprint
(1568 KB) - Metadata XML
- BibTeX
- EndNote
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
-
RC1: 'Review of Quantification of uncertainty in rapid estimation of earthquake fatalities .. by Zhang et al.', Anonymous Referee #1, 17 Aug 2018
- AC1: 'response', Zhao Hanping, 09 Oct 2018
- AC3: 'Response letter', Zhao Hanping, 16 Oct 2018
- AC2: 'response', Zhao Hanping, 09 Oct 2018
- AC6: 'Responses to reviewers and the revised MS', Zhao Hanping, 16 Oct 2018
-
RC2: 'Review of nhess-2018-187', Anonymous Referee #2, 27 Sep 2018
- AC2: 'response', Zhao Hanping, 09 Oct 2018
- AC4: 'Response letter', Zhao Hanping, 16 Oct 2018
- AC3: 'Response letter', Zhao Hanping, 16 Oct 2018
- AC7: 'Responses to reviewers and the revised MS', Zhao Hanping, 16 Oct 2018
-
EC1: 'Editorial review', Albert J. Kettner, 28 Sep 2018
- AC5: 'Response letter', Zhao Hanping, 16 Oct 2018
- AC8: 'Responses to reviewers and the revised MS', Zhao Hanping, 16 Oct 2018
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
-
RC1: 'Review of Quantification of uncertainty in rapid estimation of earthquake fatalities .. by Zhang et al.', Anonymous Referee #1, 17 Aug 2018
- AC1: 'response', Zhao Hanping, 09 Oct 2018
- AC3: 'Response letter', Zhao Hanping, 16 Oct 2018
- AC2: 'response', Zhao Hanping, 09 Oct 2018
- AC6: 'Responses to reviewers and the revised MS', Zhao Hanping, 16 Oct 2018
-
RC2: 'Review of nhess-2018-187', Anonymous Referee #2, 27 Sep 2018
- AC2: 'response', Zhao Hanping, 09 Oct 2018
- AC4: 'Response letter', Zhao Hanping, 16 Oct 2018
- AC3: 'Response letter', Zhao Hanping, 16 Oct 2018
- AC7: 'Responses to reviewers and the revised MS', Zhao Hanping, 16 Oct 2018
-
EC1: 'Editorial review', Albert J. Kettner, 28 Sep 2018
- AC5: 'Response letter', Zhao Hanping, 16 Oct 2018
- AC8: 'Responses to reviewers and the revised MS', Zhao Hanping, 16 Oct 2018
Viewed
Total article views: 1,244 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Aug 2018)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
799 | 386 | 59 | 1,244 | 90 | 69 |
- HTML: 799
- PDF: 386
- XML: 59
- Total: 1,244
- BibTeX: 90
- EndNote: 69
Viewed (geographical distribution)
Total article views: 1,144 (including HTML, PDF, and XML)
Thereof 1,142 with geography defined
and 2 with unknown origin.
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Latest update: 14 Dec 2024
Xiaoxue Zhang
Key Laboratory of Environmental Change and Natural Disaster, MOE, Faculty of Geographical Science, Beijing Normal University, Beijing, China
Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs & Ministry of Education, Faculty of Geographical Science, Beijing, China
Hanping Zhao
Key Laboratory of Environmental Change and Natural Disaster, MOE, Faculty of Geographical Science, Beijing Normal University, Beijing, China
Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs & Ministry of Education, Faculty of Geographical Science, Beijing, China
Fangping Wang
Key Laboratory of Environmental Change and Natural Disaster, MOE, Faculty of Geographical Science, Beijing Normal University, Beijing, China
Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs & Ministry of Education, Faculty of Geographical Science, Beijing, China
Zezheng Yan
Key Laboratory of Environmental Change and Natural Disaster, MOE, Faculty of Geographical Science, Beijing Normal University, Beijing, China
Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs & Ministry of Education, Faculty of Geographical Science, Beijing, China
Sida Cai
Key Laboratory of Environmental Change and Natural Disaster, MOE, Faculty of Geographical Science, Beijing Normal University, Beijing, China
Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs & Ministry of Education, Faculty of Geographical Science, Beijing, China
Xiaowen Mei
Key Laboratory of Environmental Change and Natural Disaster, MOE, Faculty of Geographical Science, Beijing Normal University, Beijing, China
Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs & Ministry of Education, Faculty of Geographical Science, Beijing, China
Short summary
This study proposed a new method to estimate earthquake fatalities and quantify the uncertainty based on the basic earthquake emergency scenarios. The basic earthquake emergency scenarios are constructed by the main factors, which affecting the earthquake fatalities. We verified the accuracy of the model with the earthquake that occurred during recent year, and compared the accuracy with other two models.
This study proposed a new method to estimate earthquake fatalities and quantify the uncertainty...
Altmetrics