Volume XLII-2/W7
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 1291-1299, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-1291-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 1291-1299, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-1291-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  14 Sep 2017

14 Sep 2017

SPATIOTEMPORAL VISUALIZATION OF TSUNAMI WAVES USING KML ON GOOGLE EARTH

H. Mohammadi1, M. R. Delavar2, M. A. Sharifi3, and M. D. Pirooz4 H. Mohammadi et al.
  • 1GIS Dept, School of Surveying and Geospatial Eng. College of Eng, University of Tehran, Tehran, Iran
  • 2Centre of Excellence in Geomatics Eng, in Disaster Management, School of Surveying and Geospatial Eng., College of Eng. University of Tehran, Tehran, Iran
  • 3Geo-Information Science and Earth Observation, University of Twente, Twente, the Netherlands
  • 4School of Civil Eng, College of Eng, University of Tehran, Tehran, Iran

Keywords: Tsunami Wave Modelling, KML, Google Earth, Spatiotemporal, Visualization

Abstract. Disaster risk is a function of hazard and vulnerability. Risk is defined as the expected losses, including lives, personal injuries, property damages, and economic disruptions, due to a particular hazard for a given area and time period. Risk assessment is one of the key elements of a natural disaster management strategy as it allows for better disaster mitigation and preparation. It provides input for informed decision making, and increases risk awareness among decision makers and other stakeholders. Virtual globes such as Google Earth can be used as a visualization tool. Proper spatiotemporal graphical representations of the concerned risk significantly reduces the amount of effort to visualize the impact of the risk and improves the efficiency of the decision-making process to mitigate the impact of the risk. The spatiotemporal visualization of tsunami waves for disaster management process is an attractive topic in geosciences to assist investigation of areas at tsunami risk. In this paper, a method for coupling virtual globes with tsunami wave arrival time models is presented. In this process we have shown 2D+Time of tsunami waves for propagation and inundation of tsunami waves, both coastal line deformation, and the flooded areas. In addition, the worst case scenario of tsunami on Chabahar port derived from tsunami modelling is also presented using KML on google earth.