DOI: 10.1007/s11069-020-03999-6
论文题名: CEDLES: a framework for plugin-based applications for earthquake risk prediction and loss assessment
作者: Long L. ; Zheng S. ; Zhang Y. ; Sun L. ; Zhou Y. ; Dong L.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2020
卷: 103, 期: 1 起始页码: 531
结束页码: 556
语种: 英语
中文关键词: Loss assessment
; Plugin framework
; Risk prediction
; Seismic disaster
英文关键词: cost-benefit analysis
; disaster management
; earthquake mechanism
; earthquake prediction
; GIS
; hazard assessment
; risk assessment
; seismic hazard
; seismicity
; software
; China
英文摘要: To evaluate the seismic risk and loss caused by an earthquake, many earthquake disaster loss assessment softwares have been developed. However, it is difficult to apply one earthquake disaster loss assessment software for all countries due to the different characteristics of seismic, architectural and economic of various countries. China is one of the high-seismicity regions in the world. Thus, it is imperative to develop an earthquake disaster loss assessment software suitable for China. In this paper, a novel framework for plugin-based applications named CEDLES is designed considering the scalability of the software. The features provided by CEDLES to ease the development of extensible applications are described. This framework includes a startup project, a common plugin framework base, a geographic information system plugin framework base, and a plugin manager project. These utilities allow rapid development and integration in which robustness and quality play a fundamental role. A first prototype, Earthquake Risk Prediction and Loss Assessment System (ERPLAS) is designed and implemented. It integrates the plugins of seismic hazard analysis, structural damage analysis, loss assessment, earthquake insurance rate estimation, and benefit–cost analysis of building retrofit, especially for China. ERPLAS is applied to Baqiao District in Xi’an and the estimation results are displayed and debated, which verify the practicality of ERPLAS and the feasibility and facility of CEDLES framework. © 2020, Springer Nature B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/168605
Appears in Collections: 气候变化与战略
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作者单位: School of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an, Shaanxi Province 710055, China; Country Garden Company, Xi’an, Shaanxi Province 710055, China
Recommended Citation:
Long L.,Zheng S.,Zhang Y.,et al. CEDLES: a framework for plugin-based applications for earthquake risk prediction and loss assessment[J]. Natural Hazards,2020-01-01,103(1)