中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spatial-Temporal Variability of Hydrothermal Climate Conditions in the Yellow River Basin from 1957 to 2015

文献类型:期刊论文

作者Ma, Liqun1; Xia, Haoming1; Sun, Jiulin2; Wang, Hao3; Feng, Gary4; Qin, Fen1
刊名ATMOSPHERE
出版日期2018-11-01
卷号9期号:11页码:17
关键词Yellow River Basin hydrothermal warmer and drier warmer and wetter spatial-temporal variation Hurst index experiment Mann-Kendall
ISSN号2073-4433
DOI10.3390/atmos9110433
通讯作者Qin, Fen(qinfen@henu.edu.cn)
英文摘要The Yellow River Basin has been affected by global climate change. Studying the spatial-temporal variability of the hydrothermal climate conditions in the Yellow River Basin is of vital importance for the development of technologies and policies related to ecological, environmental, and agricultural adaptation in this region. This study selected temperature and precipitation data observed from 118 meteorological stations distributed in the Yellow River Basin over the period of 1957-2015, and used the Mann-Kendall, Pettitt, and Hurst indices to investigate the spatial-temporal variability of the hydrothermal climate conditions in this area. The results indicated: (1) the annual maximum, minimum, and average temperatures have increased. The seasonal maximum, minimum, and average temperatures for the spring, summer, autumn, and winter have also increased, and this trend is statistically significant (p < 0.01) between 1957-2015. The rate of increase in the minimum temperature exceeded that of the maximum temperature, and diurnal warming was asymmetric. Annual precipitation and the total spring, summer, and autumn precipitations declined, while the total winter precipitation increased, although the trend was non-significant (p > 0.05). (2) Based on the very restrictive assumption that future changes will be similar to past changes, according to the Hurst index experiment, the future trends of temperature and precipitation in the Yellow River Basin are expected to stay the same as in the past. There will be a long-term correlation between the two trends: the temperature will continue to rise, while the precipitation will continue to decline (except in the winter). However, over the late stage of the study period, the trends slowed down to some extent.
WOS关键词MAXIMAL T-TEST ; INDEXES ; DAYTIME
资助项目National Science and Technology Platform Construction Project of China[2005DKA32300] ; Major Projects of the Ministry of Education Base[16JJD770019]
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000451306900020
出版者MDPI
资助机构National Science and Technology Platform Construction Project of China ; Major Projects of the Ministry of Education Base
源URL[http://ir.igsnrr.ac.cn/handle/311030/51544]  
专题中国科学院地理科学与资源研究所
通讯作者Qin, Fen
作者单位1.Henan Univ, Coll Environm & Planning, Kaifeng 475004, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Henan Univ, Sch Civil Engn & Architecture, Kaifeng 475004, Peoples R China
4.ARS, USDA, Genet & Sustainable Agr Res Unit, Starkville, MS 39762 USA
推荐引用方式
GB/T 7714
Ma, Liqun,Xia, Haoming,Sun, Jiulin,et al. Spatial-Temporal Variability of Hydrothermal Climate Conditions in the Yellow River Basin from 1957 to 2015[J]. ATMOSPHERE,2018,9(11):17.
APA Ma, Liqun,Xia, Haoming,Sun, Jiulin,Wang, Hao,Feng, Gary,&Qin, Fen.(2018).Spatial-Temporal Variability of Hydrothermal Climate Conditions in the Yellow River Basin from 1957 to 2015.ATMOSPHERE,9(11),17.
MLA Ma, Liqun,et al."Spatial-Temporal Variability of Hydrothermal Climate Conditions in the Yellow River Basin from 1957 to 2015".ATMOSPHERE 9.11(2018):17.

入库方式: OAI收割

来源:地理科学与资源研究所

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