Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Yoshihiro Shibuo"'
Publikováno v:
Journal of Flood Risk Management, Vol 15, Iss 1, Pp n/a-n/a (2022)
Abstract Many urban flood models employ coarse grids to reduce the computational cost of real‐time forecasting. Such a coarse grid, however, may result in poor predictions of the discharge rate of surface water because of difficulties in representi
Externí odkaz:
https://doaj.org/article/d9d82bec3989428a97135b62ea548579
Autor:
Petra Koudelova, Akiyuki Kawasaki, Toshio Koike, Yoshihiro Shibuo, Minoru Kamoto, Yoshio Tokunaga
Publikováno v:
Data Science Journal, Vol 16 (2017)
Big Data has great potential to be applied to research in the field of geosciences. Motivated by the opportunity provided by the Data Integration and Analysis System (DIAS) of Japan, we organized an intensive two-week course that aims to educate part
Externí odkaz:
https://doaj.org/article/a62c2ba8fe874182ac1c22cbc09e4f74
Autor:
Hiroaki Furumai, Yoshihiro Shibuo
Publikováno v:
Journal of Disaster Research. 16:310-320
The series of annual flood disasters that struck Japan in recent years pose challenges to urban stormwater management. Japan has been implementing nation-wide hydrometeorological observation through a dense network of rain gauges. Since the recent de
Publikováno v:
Journal of Disaster Research. 16:371-380
Integrated flood models have been previously developed to simulate diverse inundation situations and combined with models of storm surges and river floods. However, drainage systems, ground elevation, and surface information of human settlements have
Publikováno v:
Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering). 77:12-23
Publikováno v:
Journal of Flood Risk Management, Vol 15, Iss 1, Pp n/a-n/a (2022)
Many urban flood models employ coarse grids to reduce the computational cost of real‐time forecasting. Such a coarse grid, however, may result in poor predictions of the discharge rate of surface water because of difficulties in representing the de
Publikováno v:
Journal of Hydrology. 613:128434
Publikováno v:
Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research). 75:55-64
Autor:
Peter Lawford, Masaru Kitsuregawa, Oliver C. Saavedra Valeriano, Toshio Koike, Eiji Ikoma, Yoshihiro Shibuo, Lei Wang
Publikováno v:
Journal of Disaster Research. 11:1052-1061
Despite recent advances in hydrological models and observation technology, the prediction of floods using advanced models and data has not yet been fully implemented for practical use. The major issues in prediction originate from the underlying unce
Publikováno v:
APAC 2019 ISBN: 9789811502903
Inundation hazard is one of the severest natural hazards nowadays, especially in the urbanized coastal lowland area. Real-time predication of urban inundation is highly demanded for disaster preparedness due to the increasing frequency of extreme wea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e84bb193f20ae4a1e94ad2212dbc09b7
https://doi.org/10.1007/978-981-15-0291-0_182
https://doi.org/10.1007/978-981-15-0291-0_182