神戸大学附属図書館デジタルアーカイブ
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https://doi.org/10.24546/81011514
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2024-05-02
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81011514 (fulltext)
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81011514
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open access
出版タイプ
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タイトル
Development of Sediment Flash Flood Disaster Early Warning System based on X-band Radar
著者
著者名
Hanggar Ganara Mawandha
収録物名
神戸大学都市安全研究センター研究報告
巻(号)
20
ページ
132-139
出版者
神戸大学都市安全研究センター
刊行日
2016-03
公開日
2019-05-30
抄録
The research visit conducted in the Research Center for Urban Safety and Security of Kobe University was aimed to study development of sediment flush flood disaster early warning system based on X-band radar. Under SATREPS activities, several researches and discussions through workshop and training were conducted in order to enhance disaster resilience caused by volcanoes activities. By using recent radar technology development, namely X -band multi -parameter radar (XMPR), actual rainfall intensity occurrence is precisely measured than using single parameter. Rainfall is well- known becoming a significant factor triggering sediment flush flood, especially those with high intensity and short-term duration, therefore the accuracy in measuring rainfall occurrence is very important. More accurate actual rainfall intensity measured, better rainfall prediction would be generated. By using multi parameter radar the attenuation problems which frequently occur in conventional radar could be diminished by the presence of such parameters as horizontal wave echo (Zh), vertical wave echo (Zv), differential reflectivity wave echo (ZDR), specific differential phase parameter (KDP), and coefficient correlation (ρvh). A method used in short -term rainfall forecasting still needs to be developed to improve its accuracy. A combination of multi parameter radar and numerical weather prediction based on advection model has given a good prediction for both rainfall intensity rate and rain cloud movement. By using advection model, the rainfall movement within 1-2 hours forward has been accurately predicted. However, the rainfall growth and decay predictions are still remain challenge to be improved. The presence of physical components contributing to precipitation may take into consideration to generate a better short-term rainfall prediction. Other drawback is the computer’s memory limit in translating a series of radar data that would reduce the accuracy of rainfall intensity measurement, especially for the duration longer than 2hours, and even simulation sometime cannot be done. In practical use short-term rainfall forecast could be well developed by using LabVIEW Software. By using LabVIEW Software, a complex numerical algorithm could be modeled with more attractive and much simpler script compared to other programming language such as C, C++, and Java. Remain challenge in radar application concerning several issues as like establishing an ensemble of radar combined with early warning system for risk mitigation purpose, a proper radar -rainfall algorithm used for tropical-latitude area, and troubleshooting of a poor radar data access system.
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神戸大学都市安全研究センター研究報告
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20号(2016-03)
紀要論文
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資源タイプ
departmental bulletin paper
言語
English (英語)
ISSN
1342-9167
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NCID
AA11142997
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http://www.rcuss.kobe-u.ac.jp/publication/publication.html
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