From 4^th to 8th July 2018, heavy rainfall was recorded in the Reihoku district in Fukui Prefecture. In particular, rainfall of 30 mm/hour continued for 6 hours from midnight on 7^th July, causing a rapid rise in total precipitation. In this report, we describe the result of investigating the shape of slope failures caused by this heavy rainfall from aerial photographs taken by Unmanned Aerial Vehicle. In addition, soil mechanics parameters were determined by laboratory tests on soil samples collected from the site and change in safety factors of the slopes before and after the rainfall was evaluated by a slope stability analysis.

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Many disaster information systems do not work well. One of the reasons for this has been found to be lack of opportunities for the operator of the system to use it and become proficient. For the purpose of understanding the learning process of the disaster information system, we conducted a demonstration experiment in Shimanto-cho, Kochi prefecture for about 3 years using the disaster information system developed by the authors. The result of experiment confirmed that the learning for the system is progressing in accordance with the situated learning theory. We found that, for a practically feasible disaster information system, it should fulfil three important requirements of situated learning theory, namely (1) Relationships: which includes the relationship with surrounding environment, (2) the continuation of the local judgment and (3) Visualization from inscription.

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In the Great East Japan Earthquake of March 11, 2011, the numbers of firefighters were killed in the life saving activities due to tsunami. In order not to repeat this damage in the coming Nankai trough earthquakes, Japanese government formulated retreat plan in saving activities. However, specific criteria have not been indicated for retreat. In this study, the exercise of the lifesaving activities due to tsunami for firefighters was proposed by using the estimated tsunami arriving time and the tsunami damaged area which are estimated by using Dense Oceanfloor Network system for Earthquakes and Tsunamis (DONET). Therefore, we proposed a method for evaluating the priority of various incidents such as judgment of withdrawal from tsunami and rescue mergency request based on the content of remarks during training divided into categories according to time courses.

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