Journal of Japan Society for Natural Disaster Science
Online ISSN : 2434-1037
Print ISSN : 0286-6021
Volume 37, Issue 3
Journal of Japan Society for Natural Disaster Science
Displaying 1-4 of 4 articles from this issue
  • Syohei YONEYAMA, Kouji TAKEUCHI
    2019 Volume 37 Issue 3 Pages 267-293
    Published: 2019
    Released on J-STAGE: February 13, 2019
    JOURNAL FREE ACCESS
    Two types of learning programs in education for stress management after disasters were developed, implemented at an elementary school, and effectiveness was verified. Participants were fifth and sixth graders (N=229). One of the two programs were conducted in the first session and the other program was conducted in the second session. The first program aimed to understand individual symptoms of stress responses and facilitate classify symptoms into four groups. The second program aimed to select measures to cope with stress and develop the skills needed to execute them. Before and after each session, a questionnaire using the revised version of the scale developed by Toyosawa et al. was administered. The questionnaires were collected and statistically analyzed. The results indicated a significant increase in the feeling of fear between pretest and posttest of Session 1. Especially, children indicating low-middle level fear scores in the pretest showed a large increase in fear scores. After Session 2, self-efficacy and response efficacy significantly increased and severity of threats significantly decreased.
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  • Ayaka Watanabe, Kazuyoshi Souma, Satoru Oishi, Tetsuya Sano, Kazuhiro ...
    2019 Volume 37 Issue 3 Pages 295-311
    Published: 2019
    Released on J-STAGE: February 13, 2019
    JOURNAL FREE ACCESS
    We used rainfall information obtained using a single X-band multi-parameter (UY) radar and C-band radars to estimate the risk of shallow landslides. Although rainfall data derived from the UY radar were underestimated compared with the rain gauge data 20-30 km further from the radar site, the correlation coefficient between two measurement methods was high. According to this comparison, we divided the UY radar data into a moving average within a 2.5 km mesh and ratio of rainfall to the moving average. The moving average was then corrected by the C-band radar information and combined with the ratios. The root mean-square error, mean error, and correlation coefficients significantly improved with the combined rainfall data. The risk of shallow landslides was accurately estimated using the soil water index calculated with a tank model and the combined hourly rainfall data for an area where shallow landslides have occurred.
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