中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Temporal Scaling of Streamflow Elasticity to Precipitation: A Global Analysis

文献类型:期刊论文

作者Zhang, Yongqiang2; Viglione, Alberto1; Bloeschl, Gunter3
刊名WATER RESOURCES RESEARCH
出版日期2022
卷号58期号:1页码:16
ISSN号0043-1397
DOI10.1029/2021WR030601
通讯作者Zhang, Yongqiang(zhangyq@igsnrr.ac.cn)
英文摘要Streamflow elasticity to precipitation, defined as the percent change of streamflow resulting from a 1% change in precipitation, is sometimes used as an alternative to rainfall-runoff models in climate impact analyses. Elasticity is usually estimated from long streamflow and precipitation series aggregated at annual time steps while the climate impact analyses are usually geared toward changes at decadal scales. The purpose of this paper is therefore to understand how the elasticity depends on the aggregation time scale and the process controls of such a dependence. We analyze streamflow records of 7,053 catchments around the world over the period 1950-2016, and select 5,327 with reliable elasticity estimates for aggregation time ranging from 13 to 60 months. We find a significant scaling of streamflow elasticity to precipitation with aggregation time in 66% of the catchments which is much larger than expected by chance. Positive scaling occurs much more frequently than negative scaling. More arid/less rainy catchments, less forested catchments and catchments with a large base flow contribution to streamflow are more frequently characterized by a positive scaling. A random forest classification model identifies aridity index, latitude, mean annual precipitation, the potential evapotranspiration seasonality, the base flow index and the precipitation seasonality as relevant explanatory variables of the scaling. We interpret the sign of the scaling by non-linear runoff generation in arid regions, by the effect of climate modes and snow processes, and by the regulation capacity of vegetation to transpire more water if the past years were wet. It is suggested to use decadal elasticities instead of annual elasticities in climate impact analyses in order to account for their scaling behavior.
WOS关键词CLIMATE ELASTICITY ; CATCHMENT SCALE ; STORAGE ; SENSITIVITY ; DROUGHT ; COEVOLUTION ; VARIABILITY ; TRENDS ; FLOW
资助项目CAS Talents Program ; National Natural Science Foundation of China[41971032] ; Second Tibetan Plateau Scientific Expedition and Research Program[2019QZKK0208] ; Austrian Science Funds[I 3174] ; Austrian Science Funds[I 4776]
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
语种英语
WOS记录号WOS:000751310200027
出版者AMER GEOPHYSICAL UNION
资助机构CAS Talents Program ; National Natural Science Foundation of China ; Second Tibetan Plateau Scientific Expedition and Research Program ; Austrian Science Funds
源URL[http://ir.igsnrr.ac.cn/handle/311030/170786]  
专题中国科学院地理科学与资源研究所
通讯作者Zhang, Yongqiang
作者单位1.Politecn Torino, Dept Environm Land & Infrastruct Engn, Turin, Italy
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China
3.Tech Univ Wien, Inst Hydraul & Water Resources Engn, Vienna, Austria
推荐引用方式
GB/T 7714
Zhang, Yongqiang,Viglione, Alberto,Bloeschl, Gunter. Temporal Scaling of Streamflow Elasticity to Precipitation: A Global Analysis[J]. WATER RESOURCES RESEARCH,2022,58(1):16.
APA Zhang, Yongqiang,Viglione, Alberto,&Bloeschl, Gunter.(2022).Temporal Scaling of Streamflow Elasticity to Precipitation: A Global Analysis.WATER RESOURCES RESEARCH,58(1),16.
MLA Zhang, Yongqiang,et al."Temporal Scaling of Streamflow Elasticity to Precipitation: A Global Analysis".WATER RESOURCES RESEARCH 58.1(2022):16.

入库方式: OAI收割

来源:地理科学与资源研究所

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