イシワタリ ミキオ
ISHIWATARI MIKIO
石渡 幹夫 所属 明治大学 経営学部 職種 特任教授 |
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言語種別 | 英語 |
発行・発表の年月 | 2011 |
形態種別 | 国際会議議事録 |
査読 | 査読あり |
標題 | CLIMATE CHANGE ADAPTATION IN FLOOD RISK MANAGEMENT THROUGH UTILIZING DATASETS PRODUCED BY SUPERCOMPUTER |
執筆形態 | 単著 |
掲載区分 | 国内 |
著者・共著者 | 石渡幹夫 |
概要 | New planning methods in flood risk management are required to be developed. Stationarity is dead, and should no longer serve as a central default assumption in flood risk assessment and planning. The conventional planning methods assume that natural systems fluctuate with in an unchanging envelope of variability. Quantitative data on future extreme events is required as basic information to plan adaptation measures on climate change in flood risk management. The datasets of general circulation models of predicting global climates that were sources for the fourth assessment report of IPCC can be utilized for prediction on precipitation. The datasets of the super-high-resolution (20-km mesh) atmospheric General Circulation Model, which the Japanese Meteorological Research Institute and Japan Meteorological Agency developed by utilizing the Earth Simulator, are also available. |
PermalinkURL | https://www.researchgate.net/publication/273989319_CLIMATE_CHANGE_ADAPTATION_IN_FLOOD_RISK_MANAGEMENT_THROUGH_UTILIZING_DATASETS_PRODUCED_BY_SUPERCOMPUTER |