气候变化领域集成服务门户(CCPortal): Analysis of extreme precipitation variation characteristics in mountain grasslands of arid and semi-arid regions in China

CCPortal

DOI	10.3389/fenvs.2024.1403490
	Analysis of extreme precipitation variation characteristics in mountain grasslands of arid and semi-arid regions in China
	Li, Wei; Guan, Jing; Wang, Wenjun; Wu, Yingjie; Zhao, Yawen; Zhang, Weijie; Wang, Sinan; Chen, Zexun
发表日期	2024
EISSN	2296-665X
起始页码	12
卷号	12
英文摘要	Introduction: With global warming, the disaster losses caused by extreme precipitation events are increasing. The poor natural conditions and climate change make the arid and semi-arid mountainous grassland area a sensitive region of climate change. The study on the spatio-temporal variation characteristics of extreme precipitation events in this region is helpful to improve the ability of climate prediction and disaster prevention and reduction in grassland.Methods: Based on the daily precipitation data of four meteorological monitoring stations in the Yinshanbeilu from 1970 to 2020, the trend analysis, M-K test and wavelet analysis were used to select seven typical extreme precipitation indicators to analyze the temporal and spatial characteristics of extreme precipitation.Results and Discussion: The results showed that the precipitation in the Yinshanbeilu increased in the past 51a, and the number of heavy rain days increased significantly. The significance test of CDD and CWD showed that the number of continuous dry days and continuous wet days decreased abruptly. The spatial analysis showed that the high value areas of R95p, R95d and PRCRTOT were all located in Siziwang Banner, and it could be concluded that the extreme precipitation risk was the highest in Siziwang Banner, while the low value areas of SDII, Rx1day, R95p and PRCRTOT were all located in Sonid Right Banner, which could be inferred that the Sonid Right Banner was relatively dry. The first main cycle of the seven indexes of extreme precipitation almost runs through the whole time series, and the starting point of the minimum main cycle changes inconsistent. In addition to the number of consecutive dry days, the other indices have a good correlation with annual precipitation, flood season and monthly precipitation from June to September, and July is the peak period of extreme precipitation events.
英文关键词	extreme precipitation; arid and semi-arid regions; Yinshanbeilu; wavelet analysis; M-K test
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Sciences
WOS记录号	WOS:001229865300001
来源期刊	FRONTIERS IN ENVIRONMENTAL SCIENCE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/290467
作者单位	China Institute of Water Resources & Hydropower Research; Yellow River Engineering Consulting Co., Ltd.; Shaanxi Normal University
推荐引用方式 GB/T 7714	Li, Wei,Guan, Jing,Wang, Wenjun,et al. Analysis of extreme precipitation variation characteristics in mountain grasslands of arid and semi-arid regions in China[J],2024,12.
APA	Li, Wei.,Guan, Jing.,Wang, Wenjun.,Wu, Yingjie.,Zhao, Yawen.,...&Chen, Zexun.(2024).Analysis of extreme precipitation variation characteristics in mountain grasslands of arid and semi-arid regions in China.FRONTIERS IN ENVIRONMENTAL SCIENCE,12.
MLA	Li, Wei,et al."Analysis of extreme precipitation variation characteristics in mountain grasslands of arid and semi-arid regions in China".FRONTIERS IN ENVIRONMENTAL SCIENCE 12(2024).