大気水圏科学(A)
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-HW23
タイトル 和文 Human- and Climate-induced variability in water cycle and (sub)surface water resources
英文 Human- and Climate-induced variability in water cycle and (sub)surface water resources
タイトル短縮名 和文 Terrestrial water cycle in Anthropocene
英文 Terrestrial water cycle in Anthropocene
代表コンビーナ 氏名 和文 Abhishek Abhishek
英文 Abhishek Abhishek
所属 和文 Indian Institute of Technology Roorkee
英文 Indian Institute of Technology Roorkee
共同コンビーナ 1 氏名 和文 WENPENG ZHAO
英文 WENPENG ZHAO
所属 和文 Yangzhou University
英文 Yangzhou University
共同コンビーナ 2 氏名 和文 Brijesh K yadav
英文 Brijesh K yadav
所属 和文 Indian Institute of Technology Roorkee
英文 Indian Institute of Technology Roorkee
共同コンビーナ 3 氏名 和文 Tsuyoshi Kinouchi
英文 Tsuyoshi Kinouchi
所属 和文 Tokyo Institute of Technology
英文 Tokyo Institute of Technology
発表言語 E
スコープ 和文
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 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 projects) on surface water, soil moisture, and groundwater at various spatial (e.g., urban, 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 (e.g., until the year 2100) hydrological cycle changes and related hydroclimate extremes (floods, droughts), compound events, and their transition and propagation behaviors.
英文
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 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 projects) on surface water, soil moisture, and groundwater at various spatial (e.g., urban, 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 (e.g., until the year 2100) hydrological cycle changes and related hydroclimate extremes (floods, droughts), compound events, and their transition and propagation behaviors.
発表方法 口頭および(または)ポスターセッション