Simulation, visualization and GIS analysis based on globe model for PL19-3 oil spill of Bohai Sea

Linchong Kang; Suixiang Shi; Zengan Deng; Jiye Jin; Feng Zhang; Haiyan Huang

doi:10.1117/12.2028206

24 October 2013 Simulation, visualization and GIS analysis based on globe model for PL19-3 oil spill of Bohai Sea

Linchong Kang, Suixiang Shi, Zengan Deng, Jiye Jin, Feng Zhang, Haiyan Huang

Proceedings Volume 8893, Earth Resources and Environmental Remote Sensing/GIS Applications IV; 88931A (2013) https://doi.org/10.1117/12.2028206
Event: SPIE Remote Sensing, 2013, Dresden, Germany

Abstract

In June 2011, Oil Spill disasters occurred at platforms of Penglai 19-3 oil field in the Bohai Sea off the China's northeast coast which hugely degraded the water quality and damaged the balance of marine environment and ecosystem in Bohai Sea, as even slight changes in water quality could be catastrophic for marine lives. Simulation, Visualization and GIS analysis of Oil Spill disasters is crucial to rapidly assessment of the vulnerability of coastal areas and to make a full understanding of possible impact of disasters on infrastructure and environment. Globe model become a hotspot in the area of GIS research presently. It is a useful platform for integration and sharing of spatial information with its strong abilities of spatial data management and visualization. In this paper, Multi-resolution remote sensing imagery and DEM of terrain is implemented with LOD based on Globe Model. A numerical simulation result of PL19-3 oil spill based on General NOAA Operational Modeling Environment (GNOME) is visualized using particle trace and analysed on the globe model. It proves that the method of virtual reality and GIS analysis based on globe model for oil spill is vivid and intuitionistic; it may be applied in other ocean research.

Citation Download Citation

Linchong Kang, Suixiang Shi, Zengan Deng, Jiye Jin, Feng Zhang, and Haiyan Huang "Simulation, visualization and GIS analysis based on globe model for PL19-3 oil spill of Bohai Sea", Proc. SPIE 8893, Earth Resources and Environmental Remote Sensing/GIS Applications IV, 88931A (24 October 2013); https://doi.org/10.1117/12.2028206

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