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-HW24 | |||
タイトル | Human- and Climate-induced variability in water cycle and (sub)surface water resources | |||
タイトル短縮名 | Terrestrial water cycle in Anthropocene | |||
開催日時 | 口頭セッション | 5/26(月) AM1-AM2 | ||
現地ポスター コアタイム |
5/26(月) PM3 | |||
代表コンビーナ | 氏名 | Abhishek Abhishek | ||
所属 | Indian Institute of Technology Roorkee | |||
共同コンビーナ1 | 氏名 | WENPENG ZHAO | ||
所属 | Yangzhou University | |||
共同コンビーナ2 | 氏名 | Brijesh Kumar Yadav | ||
所属 | Indian Institute of Technology Roorkee | |||
共同コンビーナ3 | 氏名 | Tsuyoshi Kinouchi | ||
所属 | Tokyo Institute of Technology | |||
セッション言語 | E | |||
スコープ |
Confounding impacts of anthropogenic interventions and natural climate variability have altered the mean state, variance, and tradeoff in the terrestrial hydrological cycle and its constituent water storage and flux components, with continually growing magnitude and uncertainty in the Anthropocene. In the premise of 1) the tendency of studies focusing on one component (of water storage, e.g., surface water, soil moisture, groundwater; or of fluxes, e.g., precipitation, evaporation runoff) as a standalone, and 2) inherent limitations of the traditional methods for mapping these variables, here, we invite studies leveraging a multitude of state-of-the-art methods based on modeling, reanalysis, remote sensing, and machine learning. Synergistic assessment of multiple fluxes/components will be instrumental in the hydrological process understanding and effectively managing water resources for a sustainable society.
The scope of this session is to create an interdisciplinary forum by providing a common platform for researchers from academia, industry, NGOs, and government agencies belonging to wide geographic diversity to discuss recent scientific results related to, but not limited to:
1) Proof-of-principle and proof-of-concept studies dealing with surface water- groundwater interaction.
2) Understanding the impact of global warming and anthropogenic activities (e.g., urbanization, water diversion) on surface water, soil moisture, and groundwater at various spatial (e.g., regional, basin, nation) and temporal (from sub-hourly to decadal) scales.
3) Quantifying trends and variability in dwindling quantity and deteriorating quality of various (sub)surface resources and their management in a warming climate.
4) Improved methods (e.g., artificial intelligence) for assessing past and projected hydrological cycle changes and related hydroclimate extremes (floods, droughts), compound events, and their transition and propagation behaviors. |
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セッション形式 | 口頭およびポスターセッション | |||
共催情報 | 学協会 | 水文・水資源学会 | ||
ジョイント | - | |||
団体会員以外の組織との共催 | - | |||
国際連携団体 | - |