中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A new multi-scalar framework for quantifying the impacts of climate change and human activities on streamflow variation

文献类型:期刊论文

作者Ma, Mingwei1,2; Wang, Zhaohang1,2; Cui, Huijuan3; Wang, Wenchuan2; Jiang, Liuyuwei1,2
刊名WATER SUPPLY
出版日期2022-12-19
页码18
关键词attribution analysis budyko-based decomposition method monthly ABCD model multi-scalar framework streamflow
ISSN号1606-9749
DOI10.2166/ws.2022.432
通讯作者Cui, Huijuan(cuihjl@igsnrr.ac.cn)
英文摘要Most previous studies on attributing climate change and human activities to streamflow variation focused only on an annual scale, while few attempts were devoted to shorter time scales, such as seasonal or monthly scales. In this study, a multi-scalar framework for attribution analysis was constructed by integrating hydrological modeling into the Budyko-based decomposition method. Then, the multi-scalar framework was employed in the source region of the Yellow River (SRYR) as a case study. Moreover, the quantification results are compared with the simulation of a monthly water balance model (i.e., abcd model). The main results and findings indicate: (1) The mutation point of the annual streamflow is 1991 in the SRYR, and the monthly ABCD hydrological model achieves good performance in streamflow simulation for the prechange period and postchange period; (2) The contribution of climate change to streamflow variation is 65.99%, 37.50%, and 70.86% for annual, dry season, and wet season, respectively, indicating that climate change is the dominant factor controlling streamflow variation for the annual and wet season, while human activities play a major role in streamflow variation for dry season; (3) The hydrologic simulation method has verified the applicability of the Budyko-based decomposition method within a new multi-scalar framework
WOS关键词WATER-BALANCE ; YELLOW-RIVER ; RESOURCES ; EVAPOTRANSPIRATION ; VARIABILITY
资助项目National Natural Science Foundation of China ; [41730645] ; [51779070] ; [41701022]
WOS研究方向Engineering ; Environmental Sciences & Ecology ; Water Resources
语种英语
WOS记录号WOS:000899335800001
出版者IWA PUBLISHING
资助机构National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/188347]  
专题中国科学院地理科学与资源研究所
通讯作者Cui, Huijuan
作者单位1.Henan Key Lab Water Resources Conservat & Intens U, Zhengzhou 450046, Peoples R China
2.North China Univ Water Resources & Elect Power, Coll Water Resources, Zhengzhou 450046, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Ma, Mingwei,Wang, Zhaohang,Cui, Huijuan,et al. A new multi-scalar framework for quantifying the impacts of climate change and human activities on streamflow variation[J]. WATER SUPPLY,2022:18.
APA Ma, Mingwei,Wang, Zhaohang,Cui, Huijuan,Wang, Wenchuan,&Jiang, Liuyuwei.(2022).A new multi-scalar framework for quantifying the impacts of climate change and human activities on streamflow variation.WATER SUPPLY,18.
MLA Ma, Mingwei,et al."A new multi-scalar framework for quantifying the impacts of climate change and human activities on streamflow variation".WATER SUPPLY (2022):18.

入库方式: OAI收割

来源:地理科学与资源研究所

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