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

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.

[1]  Daniel Gastón Iglesias Design and implementation of 3D buildings integration for a Webgl-Based Virtual Globe: a case study of Valencian Cadastre and Fide Building Mode , 2012 .

[2]  Hui Lin,et al.  Collaborative virtual geographic environments: A case study of air pollution simulation , 2011, Inf. Sci..

[3]  Stephan Nebiker,et al.  Web-Based Large-Scale 3D-Geovisualisation Using WebGL: The OpenWebGlobe Project , 2012, Int. J. 3 D Inf. Model..

[4]  Jun Zhu,et al.  Dam-Break Flood Routing Simulation and Scale Effect Analysis Based on Virtual Geographic Environment , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[5]  Peng Yue,et al.  Web GIS in practice VIII: HTML5 and the canvas element for interactive online mapping , 2010, International journal of health geographics.

[6]  Zhigeng Pan,et al.  Research on Using Cult3D and Java to Realize Virtual Assembly , 2009, Edutainment.

[7]  Hui Lin,et al.  Prototyping an open environment for sharing geographical analysis models on cloud computing platform , 2013, Int. J. Digit. Earth.

[8]  Hui Lin,et al.  Real-Geographic-Scenario-Based Virtual Social Environments: Integrating Geography with Social Research , 2013 .

[9]  Andreas Anyuru Professional WebGL Programming: Developing 3D Graphics for the Web , 2012 .

[10]  A. R. Mahmud,et al.  An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia , 2012, Environmental Earth Sciences.

[11]  Jie Cheng,et al.  CUDA by Example: An Introduction to General-Purpose GPU Programming , 2010, Scalable Comput. Pract. Exp..

[12]  Paolo Mignosa,et al.  Numerical simulation and experimental verification of Dam-Break flows with shocks , 2000 .

[13]  Massimiliano Cannata,et al.  Two-dimensional dam break flooding simulation: a GIS-embedded approach , 2012, Natural Hazards.

[14]  Bradford G. Nickerson,et al.  Communicating and Displaying Real-Time Data with WebSocket , 2012, IEEE Internet Computing.

[15]  Francesco Dottori,et al.  A 2D flood inundation model based on cellular automata approach , 2010 .

[16]  Yafei Jia,et al.  Estimation of Manning's roughness coefficient distribution for hydrodynamic model using remotely sensed land cover features , 2009, 2009 17th International Conference on Geoinformatics.

[17]  Abubakr A. A. Al-sharif,et al.  Modelling urban growth evolution and land-use changes using GIS based cellular automata and SLEUTH models: the case of Sana’a metropolitan city, Yemen , 2013, Environmental Earth Sciences.

[18]  Jing Wang,et al.  A GIS-supported impact assessment of the hierarchical flood-defense systems on the plain areas of the Taihu Basin, China , 2012, Int. J. Geogr. Inf. Sci..

[19]  Chuanrong Li,et al.  A Research for 3D WebGIS based on WebGL , 2011, Proceedings of 2011 International Conference on Computer Science and Network Technology.

[20]  Xiyan Mao,et al.  Cellular automata-based model for developing land use ecological security patterns in semi-arid areas: a case study of Ordos, Inner Mongolia, China , 2013, Environmental Earth Sciences.

[21]  Peter Lubbers,et al.  Pro HTML5 Programming: Powerful APIs for Richer Internet Application Development , 2010 .

[22]  Michele Volpi,et al.  Analysis of past and future dam formation and failure in the Santa Cruz River (San Juan province, Argentina) , 2013 .

[23]  R. White,et al.  High-resolution integrated modelling of the spatial dynamics of urban and regional systems , 2000 .

[24]  Michael F. Goodchild Geographic information systems and science: today and tomorrow , 2009 .

[25]  Frank Salim,et al.  The Definitive Guide to HTML5 WebSocket , 2013, Apress.

[26]  Xiaoming Jiang,et al.  Parallel computation of a dam-break flow model using OpenMP on a multi-core computer , 2014 .

[27]  Alexander Y. Sun,et al.  Development of multi-metamodels to support surface water quality management and decision making , 2014, Environmental Earth Sciences.

[28]  Hui Lin,et al.  Virtual Geographic Environments (VGEs): A New Generation of Geographic Analysis Tool , 2013 .

[29]  Jun Zhu,et al.  Efficient dam break flood simulation methods for developing a preliminary evacuation plan after the Wenchuan Earthquake , 2012 .

[30]  Ciro Del Negro,et al.  GEOFIM: A WebGIS application for integrated geophysical modeling in active volcanic regions , 2014, Comput. Geosci..

[31]  Benni Thiebes,et al.  A WebGIS decision-support system for slope stability based on limit-equilibrium modelling , 2013 .

[32]  Tsuyoshi Honjo,et al.  Visualization of landscape by VRML system , 2001 .

[33]  Donald M Yealy,et al.  National variation in United States sepsis mortality: a descriptive study , 2010, International journal of health geographics.

[34]  Yi Li,et al.  Collaborative virtual geographic environment system for risk assessment of barrier lakes , 2012, 2012 20th International Conference on Geoinformatics.

[35]  Guoqing Zhou,et al.  Customizing Visualization in Three-Dimensional Urban GIS via Web-Based Interaction , 2006 .

[36]  Li Xia,et al.  The Implementation and Application of Geographical Simulation and Optimization Systems (GeoSOS) , 2010 .

[37]  Jason A. Moore,et al.  Web-based simulation visualization using Java3D , 1999, WSC '99.

[38]  Hui Lin,et al.  Virtual Geographic Environment: A Workspace for Computer-Aided Geographic Experiments , 2013 .

[39]  Yi Li,et al.  Spatiotemporal simulation and risk analysis of dam-break flooding based on cellular automata , 2013, Int. J. Geogr. Inf. Sci..

[40]  Philip James,et al.  Web-based visualization of 3D geospatial data using Java3D , 2006, IEEE Computer Graphics and Applications.

[41]  Derek M. Causon,et al.  Numerical prediction of dam-break flows in general geometries with complex bed topography , 2004 .

[42]  Yi Li,et al.  Real-time flood simulations using CA model driven by dynamic observation data , 2015, Int. J. Geogr. Inf. Sci..

[43]  B. Sanders,et al.  Two-dimensional, high-resolution modeling of urban dam-break flooding: A case study of Baldwin Hills, California , 2009 .

[44]  Peter Lubbers,et al.  Pro HTML5 Programming , 2011 .