Volume 16, Issue 2 (Summer 2022 2022)                   2022, 16(2): 99-124 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Eftekhari N, Motaghed S, Emadali L, Sayyadpour H. Ranking of ground motion prediction equation for use in the seismic hazard analysis of Ahvaz city using data envelopment analysis. Journal of Engineering Geology 2022; 16 (2) :99-124
URL: http://jeg.khu.ac.ir/article-1-3083-en.html
1- Ysaouj university , sn.eftekhari@gmail.com
2- behbahan khatam alanbia university of technology
3- Ysaouj university
Abstract:   (533 Views)
In the variability of earthquake hazard analysis results, ground motion prediction equations play an important role. Selection of appropriate prediction relationships for the region can lead to stability and accuracy of earthquake hazard analysis results. In this study, different prediction relationships were investigated and analyzed for earthquake hazard analysis in Ahvaz city. These relationships were ranked based on the criteria of logarithmic probability, Euclidean distance and deviation information in different periods. Then the most efficient relationships were selected by data envelopment analysis (DEA) method on the basis of differences in the obtained results. Out of 67 possible relationships, 5 were identified as suitable relationships for earthquake hazard analysis in the Ahvaz urban area. Then, a special efficiency criterion was used to determine the weight of these relationships. The results of this study can help to reduce to a large extent the uncertainties involved in analyzing the seismic hazard of the area studied.
 
Full-Text [PDF 1290 kb]   (338 Downloads)    
Type of Study: Original Research | Subject: En. Geology
Received: 2022/08/10 | Accepted: 2022/09/19 | Published: 2022/09/21

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Journal of Engineering Geology

Designed & Developed by : Yektaweb