Niigata University, Kyoto University, and the Institute for Disaster Prevention Science and Technology have jointly developed an information system "Snow Oro Signal" that shows the weight of snow in each village.By showing the weight of snow on the roof, which cannot be determined only by the height of the snow, it is useful for determining the timing of snow removal work to prevent the collapse of the building. It will be available in Niigata Prefecture from January 2018, 1, and can be viewed for free on its website.
Until now, the Research Institute for Natural Hazards and Reconstruction, Niigata University, and the Graduate School of Engineering, Kyoto University have provided information on snow depth published on the WEB by the Japan Meteorological Agency, local governments, and the Ministry of Land, Infrastructure, Transport and Tourism in order to grasp the amount of snow cover nationwide. We have developed and operated a "quasi-real-time snow cover distribution monitoring system" that is collected and shown as a distribution map.
This time, by combining the information on the snow depth collected by this system and the system for calculating the weight of the snow developed by the Disaster Prevention Science and Technology Research Institute, the weight of the snow accumulated on the roof is estimated from the snow depth in Niigata Prefecture. We jointly developed a "snow load calculation system".
In the "snow down signal" using this snow load calculation system, the snow weight distribution information is displayed on the map, and the snow depth of 1 m or more, which is the standard for snow removal, is shown in yellow, and the snow weight in which the building collapses is seen is shown in red. ing.It is also possible to know the current snow weight by specifying the snow weight of a specific place and the date of snow unloading.
This initiative is the first case in which the development results of the Prime Minister for estimating the weight distribution of snow cover, which was carried out in the joint research, are implemented to improve the safe life in a snowy country.