1 resultado para operation system
em CUNY Academic Works
Filtro por publicador
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- Aston University Research Archive (24)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (5)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (328)
- Bioline International (1)
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- Brock University, Canada (3)
- Bulgarian Digital Mathematics Library at IMI-BAS (4)
- CentAUR: Central Archive University of Reading - UK (14)
- Cochin University of Science & Technology (CUSAT), India (11)
- Coffee Science - Universidade Federal de Lavras (2)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (12)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (6)
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- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (2)
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- Galway Mayo Institute of Technology, Ireland (2)
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- Universitat de Girona, Spain (5)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (4)
- Université de Lausanne, Switzerland (6)
- University of Michigan (26)
- University of Queensland eSpace - Australia (226)
- University of Southampton, United Kingdom (1)
- University of Washington (1)
Resumo:
With the change of the water environment in accordance with climate change, the loss of lives and properties has increased due to urban flood. Although the importance of urban floods has been highlighted quickly, the construction of advancement technology of an urban drainage system combined with inland-river water and its relevant research has not been emphasized in Korea. In addition, without operation in consideration of combined inland-river water, it is difficult to prevent urban flooding effectively. This study, therefore, develops the uncertainty quantification technology of the risk-based water level and the assessment technology of a flood-risk region through a flooding analysis of the combination of inland-river. The study is also conducted to develop forecast technology of change in the water level of an urban region through the construction of very short-term/short-term flood forecast systems. This study is expected to be able to build an urban flood forecast system which makes it possible to support decision making for systematic disaster prevention which can cope actively with climate change.