Visual analysis and simulation of dam-break flood spatiotemporal process in a network environment

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• 作者：Lingzhi Yin ; Jun Zhu ; Xiang Zhang ; Yi Li ; Jinhong Wang&#8230
• 关键词：WebGIS ; Dam ; break flooding ; Spatiotemporal process ; Visual analysis ; Network simulation
• 刊名：Environmental Earth Sciences
• 出版年：2015
• 出版时间：November 2015
• 年：2015
• 卷：74
• 期：10
• 页码：7133-7146
• 全文大小：3,451 KB
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• 作者单位：Lingzhi Yin (1) (2)
  Jun Zhu (1) (2)
  Xiang Zhang (2)
  Yi Li (3)
  Jinhong Wang (4)
  Heng Zhang (2)
  Xiaofeng Yang (2)
  
  1. State-province Joint Engineering Laboratory of Spatial Information Technology for High-speed Railway Safety, Southwest Jiaotong University, Chengdu, Sichuan, 610031, People鈥檚 Republic of China
  2. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, Sichuan, 610031, People鈥檚 Republic of China
  3. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100101, People鈥檚 Republic of China
  4. Shell China Exploration and Production Co Ltd, Beijing, 100004, People鈥檚 Republic of China
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：None Assigned
• 出版者：Springer Berlin Heidelberg
• ISSN：1866-6299

文摘

Geographic modeling and simulation is now regarded as a fundamental approach to geographic process mining and complex geographic problems, such as dam-break floods. With the rapid development of web services and network technologies in the context of GIS, it is possible to offer a new generation of geographic analysis tools that are based on new types of Web and computer-based geographic environments that are built for understanding geographic processes and problem solving. This paper focuses on the visual analysis and simulation of dam-break flood spatiotemporal process in a network environment. The simulations were implemented with HTML5, WebGL, Ajax and Web Service and other technologies and also included the rapid computation of spatiotemporal process models, B/S network architecture construction, three-dimensional scene rendering optimization and dynamic interaction analysis. Finally, a prototype system was constructed, and an experiment was conducted to analyze dam-break flood spatiotemporal process visually in a case study region in a network simulation. The experimental results show that the scheme addressed in this paper can be used to publish spatiotemporal process information, online impact analyses and three-dimensional visualization representations in a network environment that is suitable for browsing, querying and analysis. This scheme can be used efficiently to understand dam-break flood process and support dam-break risk management. Keywords WebGIS Dam-break flooding Spatiotemporal process Visual analysis Network simulation