中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Projection of spatiotemporal patterns and possible changes of drought in the Yellow River basin, China

文献类型:期刊论文

作者Ma, Mingwei1,2; Cui, Huijuan3; Wang, Wenchuan1; Huang, Xudong1; Tu, Xinjun4
刊名THEORETICAL AND APPLIED CLIMATOLOGY
出版日期2019-11-01
卷号138期号:3-4页码:1971-1989
关键词Drought Climate change CMIP5 VIC hydrologic model SPDI-JDI Bivariate return period Yellow River basin
ISSN号0177-798X
DOI10.1007/s00704-019-02914-9
通讯作者Wang, Wenchuan(wangwen1621@163.com)
英文摘要Drought projection is of critical significance for designing long-term drought adaptation strategies to cope with changing climate. This study presents an application of multi-class models for characterizing future droughts in the Yellow River basin (YRB). Using meteorological observations and simulations of three CMIP5 climatic models as input into VIC hydrologic model, the standardized Palmer drought index-based joint drought index (SPDI-JDI) is calculated to investigate spatiotemporal patterns and possible changes of future drought in the YRB, through an approach of bivariate modeling and analysis. It is concluded that moderate drought will be alleviated with decreased duration and severity, but extreme drought risk is likely to increase for future climate scenarios (2021-2050) relative to baseline period (1961-2000). From the perspective of bivariate analyses, the concurrence probability of drought events with extreme duration and severity might rise in the future, while increasing variability and heterogeneity of duration, severity and bivariate joint/concurrent return period would also increase the stochastic occurrence of extreme drought over time and space. These findings can provide insights into projection of climate change impacts on drought trends for the next 30 years, and help to preparations for strict control of socio-economic water consumption as well as eco-environmental protection and restoration in the YRB.
WOS关键词HYDROLOGICAL DROUGHT ; EXTREMES INDEXES ; CLIMATE ; MODEL ; CMIP5 ; PRECIPITATION ; WATER ; SIMULATIONS ; RUNOFF
资助项目National Natural Science Foundation of China[41701022] ; National Natural Science Foundation of China[41730654] ; Open Foundation of State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering[2017491011] ; Henan Province University Scientific and Technological Innovation Team[18IRTSTHN009] ; Henan Province Key Laboratory of Water Environment Simulation and Treatment[2017016]
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000494710000052
出版者SPRINGER WIEN
资助机构National Natural Science Foundation of China ; Open Foundation of State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering ; Henan Province University Scientific and Technological Innovation Team ; Henan Province Key Laboratory of Water Environment Simulation and Treatment
源URL[http://ir.igsnrr.ac.cn/handle/311030/130953]  
专题中国科学院地理科学与资源研究所
通讯作者Wang, Wenchuan
作者单位1.North China Univ Water Resources & Elect Power, Sch Water Conservancy, Zhengzhou 450046, Henan, Peoples R China
2.Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
4.Sun Yat Sen Univ, Ctr Water Resources & Environm, Sch Civil Engn, Guangzhou 510275, Guangdong, Peoples R China
推荐引用方式
GB/T 7714
Ma, Mingwei,Cui, Huijuan,Wang, Wenchuan,et al. Projection of spatiotemporal patterns and possible changes of drought in the Yellow River basin, China[J]. THEORETICAL AND APPLIED CLIMATOLOGY,2019,138(3-4):1971-1989.
APA Ma, Mingwei,Cui, Huijuan,Wang, Wenchuan,Huang, Xudong,&Tu, Xinjun.(2019).Projection of spatiotemporal patterns and possible changes of drought in the Yellow River basin, China.THEORETICAL AND APPLIED CLIMATOLOGY,138(3-4),1971-1989.
MLA Ma, Mingwei,et al."Projection of spatiotemporal patterns and possible changes of drought in the Yellow River basin, China".THEORETICAL AND APPLIED CLIMATOLOGY 138.3-4(2019):1971-1989.

入库方式: OAI收割

来源:地理科学与资源研究所

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