Spatiotemporal variations of extreme precipitation events at multi-time scales in the Qinling-Daba mountains region, China
Shao, Yiting2,3; Mu, Xingmin2,4; He, Yi1,5; Sun, Wenyi2,4; Zhao, Guangju2,4; Gao, Peng2,4
刊名QUATERNARY INTERNATIONAL
2019-08-10
卷号525页码:89-102
关键词Extreme precipitation events Multi-time scales Spatial pattern Temporal variation Qinling-daba mountains region Atmospheric circulation indices
ISSN号1040-6182
DOI10.1016/j.quaint.2019.07.029
通讯作者He, Yi(yihe@nwu.edu.cn)
英文摘要Global climate change has contributed to frequent occurrence of extreme precipitation events, resulting in more severe natural disasters and restricting regional development. The Qinling-Daba mountains region (Qinba) is a transitional zone in central China with high ecological vulnerability and sensitivity. It is therefore essential to investigate the dynamics of precipitation extremes in the region. In this study, spatiotemporal variations of extreme precipitation events were analyzed at the monthly, seasonal and annual timescales based on long-term daily precipitation dataset at 30 meteorological stations over the Qinba during 1961-2017. The results indicated all of the selected ten extreme precipitation indices exhibited non-significant trends at the annual scales. Seasonally, most of extreme precipitation indices decreased in spring, autumn and winter, and increased in summer, whereas consecutive dry days (CDD) increased in all seasons. At the monthly scales, wet precipitation extremes mostly occurred in July, and upward trends of extreme precipitation events dominated in February, June, July and August except for CDD. Spatially, regionwide increases in extreme precipitation events mainly distributed in the eastern and southern Qinba, whereas the north and west were dominated by decreasing trends. Most of atmospheric circulation indices, especially Arctic Oscillation (AO), Southern Oscillation Index (SOI) and Western Pacific Index (WP) were associated with extreme precipitation events at monthly and annual scales. East Asian Summer Monsoon Index (EASMI) and South China Sea Summer Monsoon Index (SCSSMI) strongly influenced extreme precipitation events in summer over the Qinba. Our results are conducive to understanding the variations of extreme precipitation events at the monthly, seasonal and annual scales, and these will be valuable for formulating the corresponding countermeasures at different timescales over the Qinba.
资助项目National Science and Technology Basic Resource Investigation Program[2017FY100904]
WOS关键词RIVER-BASIN ; CLIMATE EXTREMES ; TEMPORAL VARIABILITY ; PROVINCE ; TEMPERATURE ; TRENDS ; INDEXES ; CONNECTION ; RAINFALL ; MONSOON
WOS研究方向Physical Geography ; Geology
语种英语
出版者PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号WOS:000487248200008
资助机构National Science and Technology Basic Resource Investigation Program
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/69505]  
专题中国科学院地理科学与资源研究所
通讯作者He, Yi
作者单位1.Northwest Univ, Coll Urban & Environm Sci, Xian 710127, Shaanxi, Peoples R China
2.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Fanning Loess P, Yangling 712100, Shaanxi, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China
5.Shaanxi Key Lab Earth Surface Syst & Environm Car, Xian 710127, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714
Shao, Yiting,Mu, Xingmin,He, Yi,et al. Spatiotemporal variations of extreme precipitation events at multi-time scales in the Qinling-Daba mountains region, China[J]. QUATERNARY INTERNATIONAL,2019,525:89-102.
APA Shao, Yiting,Mu, Xingmin,He, Yi,Sun, Wenyi,Zhao, Guangju,&Gao, Peng.(2019).Spatiotemporal variations of extreme precipitation events at multi-time scales in the Qinling-Daba mountains region, China.QUATERNARY INTERNATIONAL,525,89-102.
MLA Shao, Yiting,et al."Spatiotemporal variations of extreme precipitation events at multi-time scales in the Qinling-Daba mountains region, China".QUATERNARY INTERNATIONAL 525(2019):89-102.
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