2:45 PM - 3:00 PM
[SVC30-05] Attempt to visualize road blockage status for the assistance of eruption disaster response
Keywords:Disaster Prevention, Mt. Fuji, Volcanic eruption
Difficulty in responding to volcanic disasters is due to the low frequency of occurrence and its variety of phenomena. It is unlikely that neither residents nor the disaster prevention personnel of the local government don't have enough knowledge of eruption phenomenon, and it must be difficult to image, and to design, the optimum evacuation and its instructions. We have tried visualization to give as many people as possible an image of the hazard and the disaster it causes. We selected the northern foot of Mt. Fuji as a test field, where the evacuation route will easily be restricted by the narrow terrain, if the road was blocked.
We focused on the lava flows and ash falls that are expected to occur on Mt. Fuji and visualized the roads that would become unusable when they occurred at the same time. For the Lava flow data, we used the lava flow simulation result that was the basic data for the revision of the Mt. Fuji hazard map, and for ash fall data, we used the simulation result by Tephra 2 code. By referring to the road data released by the Ministry of Land, Infrastructure, Transport and Tourism, we simulated the road blockage situation at the time of the eruption. The analyses routines are composed of arcpy GIS tools, which works on ArcGIS software. The resulting map clarifies unusable roads that are covered with lava or thick volcanic ash, as well as roads that are possible to drive but should not be entered due to impassable destinations. It is not realistic to use such a simulation map during an actual eruption because it is difficult to accurately predict distribution and/or thickness ash fall. On the other hand, by using it in eruption response training, it may be possible to cultivate the ability to imagine what is going to take place.
We focused on the lava flows and ash falls that are expected to occur on Mt. Fuji and visualized the roads that would become unusable when they occurred at the same time. For the Lava flow data, we used the lava flow simulation result that was the basic data for the revision of the Mt. Fuji hazard map, and for ash fall data, we used the simulation result by Tephra 2 code. By referring to the road data released by the Ministry of Land, Infrastructure, Transport and Tourism, we simulated the road blockage situation at the time of the eruption. The analyses routines are composed of arcpy GIS tools, which works on ArcGIS software. The resulting map clarifies unusable roads that are covered with lava or thick volcanic ash, as well as roads that are possible to drive but should not be entered due to impassable destinations. It is not realistic to use such a simulation map during an actual eruption because it is difficult to accurately predict distribution and/or thickness ash fall. On the other hand, by using it in eruption response training, it may be possible to cultivate the ability to imagine what is going to take place.