气候变化领域集成服务门户(CCPortal): CEDLES: a framework for plugin-based applications for earthquake risk prediction and loss assessment

CCPortal

DOI	10.1007/s11069-020-03999-6
	CEDLES: a framework for plugin-based applications for earthquake risk prediction and loss assessment
	Long L.; Zheng S.; Zhang Y.; Sun L.; Zhou Y.; Dong L.
发表日期	2020
ISSN	0921030X
起始页码	531
结束页码	556
卷号	103 期号:1
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.
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
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/205806
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
推荐引用方式 GB/T 7714	Long L.,Zheng S.,Zhang Y.,et al. CEDLES: a framework for plugin-based applications for earthquake risk prediction and loss assessment[J],2020,103(1).
APA	Long L.,Zheng S.,Zhang Y.,Sun L.,Zhou Y.,&Dong L..(2020).CEDLES: a framework for plugin-based applications for earthquake risk prediction and loss assessment.Natural Hazards,103(1).
MLA	Long L.,et al."CEDLES: a framework for plugin-based applications for earthquake risk prediction and loss assessment".Natural Hazards 103.1(2020).