A collaborative virtual geographic environment for emergency dam-break simulation and risk analysis

	A collaborative virtual geographic environment for emergency dam-break simulation and risk analysis
	Zhu, Jun 1; Zhang, Heng 1; Yang, Xiaofeng 1; Yin, LingZhi 1; Li, Yi 1; Hu, Ya 1; Zhang, Xiang 1
刊名	JOURNAL OF SPATIAL SCIENCE
	2016
卷号	61 期号:1 页码:133-155
关键词	VAPOR-PRESSURE AVHRR DATA ALGORITHM FLUXES SCALE SITE NDVI
通讯作者	Zhang, H (reprint author), State Prov Joint Engn Lab Spatial Informat Techno, Chengdu 610031, Peoples R China. ; Zhang, H (reprint author), Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu 610031, Peoples R China.
英文摘要	Since barrier lakes are affected by a highly changing and complex environment, it is always a great challenge to determine the proper actions that must be performed within a limited amount of time. Existing methods have some restrictions, such as the dispersed data resources and personnel, the loose model integration, and the complicated and unfriendly user interface, which results in low efficiency of dam-break risk assessment under emergency response conditions. These issues were addressed in this paper by constructing a collaborative virtual geographic environment (CVGE), which supports three levels of deeper applications including sharing of distributed resources, tightly geographic process simulation and visualisation analysis, and geographic collaboration. A virtual resource environment and mobile computing service were designed for the distributed resource sharing. A spatiotemporal process model based on cellular automata and parallel computing optimisation was proposed and integrated for real-time simulation and analysis of dam-break risk assessment of barrier lakes. A distributed virtual geographic scene and collaborative workflow were designed to improve the operational efficiency of the models with respect to initiation, computation, output visualisation and analysis. A prototype system was developed to support collaborative dam-break risk assessment of the Xiaojiaqiao barrier lake in Anxian County, Sichuan Province, China. The experimental results indicate that the proposed method could efficiently improve the efficiency of dam-break risk assessment on data supporting, model computation, and visualisation analysis.
学科主题	Physical Geography; Remote Sensing
类目[WOS]	Geography, Physical ; Remote Sensing
收录类别	SCI
语种	英语
WOS记录号	WOS:000373835800001
内容类型	期刊论文
源URL	[http://ir.radi.ac.cn/handle/183411/39535]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1.State Prov Joint Engn Lab Spatial Informat Techno, Chengdu 610031, Peoples R China 2.Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu 610031, Peoples R China 3.Sichuan Engn Res Ctr Emergency Mapping & Disaster, Chengdu 610081, Peoples R China 4.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sience, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Zhu, Jun,Zhang, Heng,Yang, Xiaofeng,et al. A collaborative virtual geographic environment for emergency dam-break simulation and risk analysis[J]. JOURNAL OF SPATIAL SCIENCE,2016,61(1):133-155.
APA	Zhu, Jun.,Zhang, Heng.,Yang, Xiaofeng.,Yin, LingZhi.,Li, Yi.,...&Zhang, Xiang.(2016).A collaborative virtual geographic environment for emergency dam-break simulation and risk analysis.JOURNAL OF SPATIAL SCIENCE,61(1),133-155.
MLA	Zhu, Jun,et al."A collaborative virtual geographic environment for emergency dam-break simulation and risk analysis".JOURNAL OF SPATIAL SCIENCE 61.1(2016):133-155.