Journal of Disaster Research
- ISSN : 1881-2473(Print) / 1883-8030(Online)
- Editor-in-chief :Suminao Murakami (Laboratory of Urban Safety Planning) / Katsuki Takiguchi (Tokyo Institute of Technology)

JDR Vol.4 No.4 Aug. 2009
- “Early Warning for Natural Disaster Mitigation”
- Guest Editor: Masato Motosaka (Professor, Disaster Control Research Center, Graduate School of Engineering, Tohoku University)
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JDR Vol.4 No.4 Aug. 2009
- Editorial:
- Special Issue on “Early Warning for Natural Disaster Mitigation”
-
Japan and many other counties face the risk of the natural disaster such as earthquakes, tsunamis, and floods. Natural disaster mitigation research and development are providing important, practical applications based on the development of the scientific technology.
One major contribution is early warning system, being backed by observation and communication technology progress. Early warning research and development have been extensively studied domestically and internationally. Specifically, recent developments in earthquake engineering research and construction of seismic dense network have made it possible to issue earthquake warnings before the arrival of severe shaking. Such warnings enable emergency measures to be taken to protect lives, buildings, infrastructure, and transport from earthquake depredations. One such system went into practical use nationwide in Japan starting on October 1, 2007. Development has been conducted with cooperation of government, academic community and non-government, and private organizations.
This special issue features papers on the early warning system for the natural disastermitigation covering issues ranging from natural science to social science. The recent developed earthquake early warning technology and its applications will be introduced. Besides earthquakes, the recent early warning technology for tsunami and flood are also included in this issue. The warning time available for tsunami and flood is much longer than that for earthquakes, and the contribution of numerical calculation using the real-time observation data differs with the type of disaster.
Finally I would like to express my deepest gratitude for anonymous reviewers of papers in this special issue.
- Paper:
- Earthquake Early Warning Technology Progress in Taiwan
- Kuo-Liang Wen, Tzay-Chyn Shin, Yih-Min Wu, Nai-Chi Hsiao, and Bing-Ru Wu, pp. 202-210
- Abstract | Preview | Full Text (PDF3841KB)
- Paper:
- Promotion Planning for Application of an Earthquake Early Warning System in Taiwan
- Liang-Chun Chen, Bing-Ru Wu, Kai-Wen Kuo, Keh-Chyuan Tsai, Nai-Chi Hsiao, Min Chen, and Tzu-Shiu Wu, pp. 211-217
- Abstract | Preview | Full Text (PDF3627KB)
- Paper:
- Development of Application Systems for Earthquake Early Warning
- Yukio Fujinawa, Yoshinori Rokugo, Yoichi Noda, Yoshinobu Mizui, Masaji Kobayashi, and Etsuo Mizutani, pp. 218-228
- Abstract | Preview | Full Text (PDF6713KB)
- Paper:
- Earthquake Early Warning System Application for School Disaster Prevention
- Masato Motosaka and Makoto Homma, pp. 229-236
- Abstract | Preview | Full Text (PDF10470KB)
- Paper:
- Earthquake Early Warning Hospital Applications
- Yoshihito Horiuchi, pp. 237-241
- Abstract | Preview | Full Text (PDF212KB)
- Paper:
- Application of Earthquake EarlyWarning System to Seismic-Isolated Buildings
- Keiichi Okada, Yutaka Nakamura, and Masaaki Saruta, pp. 242-250
- Abstract | Preview | Full Text (PDF10052KB)
- Paper:
- Practical Site-Specific Earthquake Early Warning Application
- Katsuhisa Kanda, Tadashi Nasu, and Masamitsu Miyamura, pp. 251-259
- Abstract | Preview | Full Text (PDF4215KB)
- Paper:
- Real-Time Ground Motion Forecasting Using Front-Site Waveform Data Based on Artificial Neural Network
- H. Serdar Kuyuk and Masato Motosaka, pp. 260-266
- Abstract | Preview | Full Text (PDF4675KB)
- Paper:
- History and Challenge of Tsunami Warning Systems in Japan
- Fumihiko Imamura and Ikuo Abe, pp. 267-271
- Abstract | Preview | Full Text (PDF762KB)
- Paper:
- Uncertainty Evaluation in a Flood Forecasting Model Using JMA Numerical Weather Prediction
- Hadi Kardhana and Akira Mano, pp. 272-277
- Abstract | Preview | Full Text (PDF899KB)

