Advanced countermeasures for urban inundation: An example case of data integration approach to solve social issues
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- SHIBUO Yoshihiro
- International Centre for Water Hazard and Risk Management, Public Works Research Institute
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- SANUKI Hiroshi
- Penta-Ocean Construction Institute of Technology
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- LEE Sungae
- Department of Urban Engineering, The University of Tokyo
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- YOSHIMURA Kohei
- Research Center of Social Management Systems, Kochi University of Technology
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- TAJIMA Yoshimitsu
- Department of Civil Engineering, The University of Tokyo
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- FURUMAI Hiroaki
- Research Center for Water Environment Technology, The University of Tokyo
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- SATO Shinji
- Department of Civil Engineering, The University of Tokyo
Bibliographic Information
- Other Title
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- 都市浸水対策の高度化:社会課題の解決に向けたデータ活用事例
- トシ シンスイ タイサク ノ コウドカ:シャカイ カダイ ノ カイケツ ニ ムケタ データ カツヨウ ジレイ
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Abstract
<p>While the number of heavy rainfalls that magnitude rivals designed flood control level increases, associated flood disasters are becoming serious issue. For mitigating flood disasters in urbanized areas, effective use of existing available information, such as flood control facilities or observation records, are necessary. In particular, model predictions play an important role, and as coastal low lying areas are highly urbanized in Japan, it is necessary to consider composite hydraulic effects of river flood, urban inundation and coastal storm surges. In this study, we present ongoing development of an advanced flood countermeasure in the Tsurumi river basin where integrated flood management has been taken place. The development research comprehensively combines the seamlessly integrated river-, urban-, and coastal hydraulics model with the information of flood control facilities and fine-resolved rainfall.</p>
Journal
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- Journal of Information Processing and Management
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Journal of Information Processing and Management 60 (2), 100-109, 2017
Japan Science and Technology Agency
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Keywords
Details 詳細情報について
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- CRID
- 1390282680514975232
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- NII Article ID
- 130005631406
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- NII Book ID
- AN00116534
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- ISSN
- 13471597
- 00217298
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- NDL BIB ID
- 028180706
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
- Crossref
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- Abstract License Flag
- Disallowed