大気水圏科学(A) | |||
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セッション小記号 | 水文・陸水・地下水学・水環境(HW) | ||
セッションID | A-HW31 | ||
タイトル | 和文 | Surface and subsurface hydrologic models: From uncertainty analysis to water management | |
英文 | Surface and subsurface hydrologic models: From uncertainty analysis to water management | ||
タイトル短縮名 | 和文 | Modeling and decision support | |
英文 | Modeling and decision support | ||
代表コンビーナ | 氏名 | 和文 | 徳永 朋祥 |
英文 | Tomochika Tokunaga | ||
所属 | 和文 | 東京大学大学院新領域創成科学研究科環境システム学専攻 | |
英文 | Department of Environment Systems, University of Tokyo | ||
共同コンビーナ 1 | 氏名 | 和文 | Rene Therrien |
英文 | Rene Therrien | ||
所属 | 和文 | Laval University | |
英文 | Laval University | ||
共同コンビーナ 2 | 氏名 | 和文 | Philip Brunner |
英文 | Philip Brunner | ||
所属 | 和文 | Center fro Hydrogeology and Geothermics, University of Neuchatel | |
英文 | Center fro Hydrogeology and Geothermics, University of Neuchatel | ||
共同コンビーナ 3 | 氏名 | 和文 | 劉 佳奇 |
英文 | Jiaqi Liu | ||
所属 | 和文 | 東京大学 大学院新領域創成科学研究科 環境システム学専攻 | |
英文 | The University of Tokyo | ||
発表言語 | E | ||
スコープ | 和文 | Surface and subsurface hydrologic models (SSHM) simulate the relevant components of the water cycle that affect surface water and groundwater. Such models thus constitute important tools to support water resources management. For example, model predictions are used to manage increased water use, water pollution, droughts and floods. Nevertheless, significant challenges are inherent to the development and application of SSHMs. One critical issue is the limited amount of data to inform model parameters. Moreover, automated calibration and a comprehensive uncertainty analysis of large-scale SSHMs are rarely carried out because of their high computational cost. In addition, there is a large uncertainty associated with the conceptualization of the relevant processes and the parametrization of subsurface heterogeneity, which can undermine the reliability of the predictions made. For this session we seek presentations that focus on numerical simulations tools for water resources management and present solutions for pressing scientific challenges such as model calibration, uncertainty analysis or the conceptualization of the surface and subsurface and the relevant processes. Presentations that showcase examples where numerical modelling tools are employed for water resource management at emergency situations (e.g. earthquakes, tsunamis, droughts or stormfloods) are also encouraged. | |
英文 | Surface and subsurface hydrologic models (SSHM) simulate the relevant components of the water cycle that affect surface water and groundwater. Such models thus constitute important tools to support water resources management. For example, model predictions are used to manage increased water use, water pollution, droughts and floods. Nevertheless, significant challenges are inherent to the development and application of SSHMs. One critical issue is the limited amount of data to inform model parameters. Moreover, automated calibration and a comprehensive uncertainty analysis of large-scale SSHMs are rarely carried out because of their high computational cost. In addition, there is a large uncertainty associated with the conceptualization of the relevant processes and the parametrization of subsurface heterogeneity, which can undermine the reliability of the predictions made. For this session we seek presentations that focus on numerical simulations tools for water resources management and present solutions for pressing scientific challenges such as model calibration, uncertainty analysis or the conceptualization of the surface and subsurface and the relevant processes. Presentations that showcase examples where numerical modelling tools are employed for water resource management at emergency situations (e.g. earthquakes, tsunamis, droughts or stormfloods) are also encouraged. | ||
発表方法 | 口頭および(または)ポスターセッション |