中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Changes in Reference Evapotranspiration over Southwest China during 1960-2018: Attributions and Implications for Drought

文献类型:期刊论文

作者Zeng, Zhaoqi2,3; Wu, Wenxiang2,4; Zhou, Yang2; Li, Zhaolei1; Hou, Mei2; Huang, Han5
刊名ATMOSPHERE
出版日期2019-11-01
卷号10期号:11页码:24
关键词climatic parameters reference evapotranspiration dominant factors drought duration Southwest China
DOI10.3390/atmos10110705
通讯作者Wu, Wenxiang(wuwx@igsnrr.ac.cn)
英文摘要Reference evapotranspiration (ET0) is important to the global energy balance and to hydrological cycling. However, the extent to which ET0 changes, the main driving factors, and especially the implications of its shift for drought in Southwest China are not clear. In this study, trends in Penman-Monteith ET0 and other climatic parameters at 79 stations in Southwest China from 1960 to 2018 were investigated by using the Mann-Kendall test. Furthermore, partial correlation analysis and multiple linear regression were used to determine the dominant climate driving factors in changes in ET0. The relative contribution of precipitation and ET0 to drought duration was also quantified based on spatial multiple linear regression. Results revealed that annual ET0 decreased significantly (p < 0.01) at a rate of 14.1 mm per decade from 1960 to 2000, and this decrease disappeared around 2000. For the entire study period, the sunshine duration (Tsun) was the most closely correlated with and played a dominant role in the variations in ET0 at both annual and seasonal (summer and autumn) timescales, whereas the relative humidity was the most dominant factor in the spring and winter. Trends in the Standardized Precipitation Evapotranspiration Index revealed that drought has become more serious in Southwest China, and ET0 has made a greater contribution to the duration of drought than precipitation. Our findings highlight that more attention should be paid to the impacts of ET0 changes on drought in Southwest China. Furthermore, these results can provide a reference for the allocation of water resources and the implementation of countermeasures to climate change.
WOS关键词POTENTIAL EVAPOTRANSPIRATION ; CLIMATE-CHANGE ; WIND-SPEED ; SPATIOTEMPORAL CHARACTERISTICS ; PAN-EVAPORATION ; TIBETAN PLATEAU ; SOLAR-RADIATION ; PRECIPITATION ; TRENDS ; TEMPERATURE
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040101] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040304] ; National Key Research and Development Program of China[2016YFA0602402]
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
出版者MDPI
WOS记录号WOS:000502272000067
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences ; National Key Research and Development Program of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/130696]  
专题中国科学院地理科学与资源研究所
通讯作者Wu, Wenxiang
作者单位1.Shandong Agr Univ, Key Lab Agr Environm Univ Shandong, Coll Resources & Environm, Natl Engn Lab Efficient Utilizat Soil & Fertilize, Tai An 271018, Shandong, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Dept Environm & Resources, Beijing 100049, Peoples R China
4.Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China
5.China Univ Geosci, Sch Land Sci & Technol, Beijing 100083, Peoples R China
推荐引用方式
GB/T 7714
Zeng, Zhaoqi,Wu, Wenxiang,Zhou, Yang,et al. Changes in Reference Evapotranspiration over Southwest China during 1960-2018: Attributions and Implications for Drought[J]. ATMOSPHERE,2019,10(11):24.
APA Zeng, Zhaoqi,Wu, Wenxiang,Zhou, Yang,Li, Zhaolei,Hou, Mei,&Huang, Han.(2019).Changes in Reference Evapotranspiration over Southwest China during 1960-2018: Attributions and Implications for Drought.ATMOSPHERE,10(11),24.
MLA Zeng, Zhaoqi,et al."Changes in Reference Evapotranspiration over Southwest China during 1960-2018: Attributions and Implications for Drought".ATMOSPHERE 10.11(2019):24.

入库方式: OAI收割

来源:地理科学与资源研究所

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