A Real-time Dynamic Simulation Scheme for Large-Scale Flood Hazard Using 3D Real World Data

We propose a new dynamic simulation scheme for large-scale flood hazard modelling and prevention. The approach consists of a number of core parts: digital terrain modelling with GIS data, Nona-tree space partitions (NTSP), automatic river object recognition and registration, and a flood spreading model. The digital terrain modelling method allows the creation of a geometric real terrain model for augmented 3D environments with very large GIS data, and it can also use information gathered from aviation and satellite images with a ROAM algorithm. A spatial image segmentation scheme is described for river and flood identification and for a 3D terrain map of flooding region growth and visualisation. The region merging is then implemented by adopting flood region spreading algorithm (FRSA). Compared with the conventional methods, our approach has the advantages of being capable of realistically visualising the flooding in geometrically-real 3D environments, of handling dynamic flood behaviour in real-time and of dealing with very large-scale data modelling and visualisation.

[1]  Dorin Comaniciu,et al.  Robust analysis of feature spaces: color image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[2]  Thomas S. Huang,et al.  A survey of construction and manipulation of octrees , 1988, Comput. Vis. Graph. Image Process..

[3]  L. Smith Satellite remote sensing of river inundation area, stage, and discharge: a review , 1997 .

[4]  T. Takahashi,et al.  Urban flood simulation as a component of integrated earthquake disaster simulation , 2005, IEEE International Safety, Security and Rescue Rototics, Workshop, 2005..

[5]  Tomoharu Hori,et al.  Micro Model Simulation Tools for Performance-based Design of a Flood Risk Management System , 2004 .

[6]  Mark A. Duchaineau,et al.  ROAMing terrain: Real-time Optimally Adapting Meshes , 1997, Proceedings. Visualization '97 (Cat. No. 97CB36155).

[7]  Knut Alfredsen,et al.  An object-oriented application framework for building water resource information and planning tools applied to the design of a flood analysis system , 2000, Environ. Model. Softw..

[8]  Matthew S. Horritt,et al.  A methodology for the validation of uncertain flood inundation models , 2006 .

[9]  Yaolin Liu,et al.  Key technique of floods prevention information system based on GIS , 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

[10]  Stuart R. Phinn Scaling-up: From cell to landscape. , 1998 .

[11]  Narendra Ahuja,et al.  Octree representations of moving objects , 1984, Comput. Vis. Graph. Image Process..

[12]  R. Manmatha,et al.  Retrieving images by similarity of visual appearance , 1997, 1997 Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries.

[13]  Tan Qu-lin Measuring Lake Water Level Using Multi-Source Remote Sensing Images Combined with Hydrological Statistical Data , 2006 .

[14]  William Ribarsky,et al.  Real-time, continuous level of detail rendering of height fields , 1996, SIGGRAPH.

[15]  Xinya Ying,et al.  Numerical Simulation of Flood Inundation due to Dam and Levee Breach , 2003 .

[16]  Marco Gianinetto,et al.  Postflood damage evaluation using Landsat TM and ETM+ data integrated with DEM , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[17]  A. Haile,et al.  Effects of LIDAR DEM resolution in flood modelling : a model sensitivity study for the city of Tegucigalpa, Honduras , 2005 .