Special Issue on NIED Frontier Research on Science and Technology for Disaster Risk Reduction and Resilience 2018.
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- Journal of Disaster Research, 2018, v. 13, n. 5, p. 831, doi. 10.20965/jdr.2018.p0831
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- Article
Works matching IS 18812473 AND DT 2018 AND VI 13 AND IP 5
Results: 7
1
2
Automatic Generation of an Evaluation Model of Regional Disaster Prevention Activities Based on Self-Evaluation Questionnaire.
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- Journal of Disaster Research, 2018, v. 13, n. 5, p. 886, doi. 10.20965/jdr.2018.p0886
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- Article
3
Gaps Between the Transmission and Reception of Information on Rainfall Amounts.
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- Journal of Disaster Research, 2018, v. 13, n. 5, p. 879, doi. 10.20965/jdr.2018.p0879
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- Article
4
Introducing Quantile Mapping to a Regression Model Using a Multi-Model Ensemble to Improve Probabilistic Projections of Monthly Precipitation.
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- Journal of Disaster Research, 2018, v. 13, n. 5, p. 873, doi. 10.20965/jdr.2018.p0873
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- Article
5
Analysis of Flood Inundation in Ungauged Mountainous River Basins: A Case Study of an Extreme Rain Event on 5-6 July 2017 in Northern Kyushu, Japan.
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- Journal of Disaster Research, 2018, v. 13, n. 5, p. 860, doi. 10.20965/jdr.2018.p0860
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- Article
6
Predictability of Precipitation Caused by Linear Precipitation Systems During the July 2017 Northern Kyushu Heavy Rainfall Event Using a Cloud-Resolving Numerical Weather Prediction Model.
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- Journal of Disaster Research, 2018, v. 13, n. 5, p. 846, doi. 10.20965/jdr.2018.p0846
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- Article
7
Spatial Analysis of the Landslide Characteristics Caused by Heavy Rainfall in the Northern Kyushu District in July, 2017 Using Topography, Geology, and Rainfall Levels.
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- Journal of Disaster Research, 2018, v. 13, n. 5, p. 832, doi. 10.20965/jdr.2018.p0832
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- Article