Evolutionary Characteristics of Daytime and Nocturnal Precipitation Heterogeneity in Gansu Province, Northwest China

doi:10.3390/w15193353

	Evolutionary Characteristics of Daytime and Nocturnal Precipitation Heterogeneity in Gansu Province, Northwest China
	Li, Qingfeng 1; Wang, Shengxia2 ; Zhao, Chuancheng 3; Yao, Shuxia 3; Li, Hongyuan 4
	2023-10
发表期刊	WATER
卷号	15 期号:19
摘要	The diurnal variation in precipitation and its evolution are important foundations for understanding the regional impact of climate change and the parameterization of the model. Based on the daily precipitation data set of 23 national meteorological stations during 1970-2019, the spatial and temporal distribution characteristics of precipitation concentration degree (PCD) and precipitation concentration period (PCP) in Gansu province were evaluated on daytime and nocturnal scales. The results show the following: (1) Annual precipitation ranges from 69.1 +/- 24.7 mm to 578.3 +/- 96.6 mm, mainly (54.1 +/- 2.6%) occurring at night, and the spatial distribution of the nocturnal precipitation rate is positively (r = 0.53, p < 0.01) correlated with annual precipitation; the wetting trend (12.7 mm/10 a, p < 0.01) in the past 50 years is obvious, and is mainly dominated by the frequency of precipitation (r = 0.58, p < 0.001), with both performing better during the day. (2) Most PCD is located between 0.55 and 0.75, showing a basic distribution pattern for daytime greater than nocturnal, higher values, and stronger interannual fluctuations in arid areas; the significant decreasing trend (p < 0.05) of PCD is very clear and highly consistent, especially in the high-altitude area, and the increase in precipitation in the dry season and the improvement in precipitation uniformity in the wet season play a key role. (3) PCP often fluctuates slightly around the 39th-41st pentad, but the general rule that daytime values are smaller than night values and the interannual variability is larger in arid areas also requires special attention; PCP has shown a relatively obvious advance trend in a few regions, but this is because the prominent and complex changes in the monthly precipitation distribution pattern have not been fully reflected. Along with continuous humidification, the decrease in PCD and the advance of PCP are likely to be the priority direction of precipitation evolution in the arid region of Northwest China, especially during the day. These findings provide a new perspective for understanding regional climate change.
关键词	arid region of Northwest China warming and humidification precipitation concentration degree precipitation concentration period daytime and nocturnal precipitation
DOI	10.3390/w15193353
收录类别	SCIE ; EI
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
WOS类目	Environmental Sciences ; Water Resources
WOS记录号	WOS:001084720000001
出版者	MDPI
EI入藏号	20234214908791
EI主题词	Arid regions
EI分类号	443 Meteorology ; 443.1 Atmospheric Properties ; 444 Water Resources ; 921 Mathematics
原始文献类型	Article
EISSN	2073-4441
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/35358
专题	工商管理学院
通讯作者	Li, Hongyuan
作者单位	1.Lanzhou City Univ, Coll Urban Environm, Lanzhou 730070, Peoples R China; 2.Lanzhou Univ Finance & Econ, Coll Business Adm, Lanzhou 730020, Peoples R China; 3.Lanzhou City Univ, Sch Informat Engn, Lanzhou 730070, Peoples R China; 4.Linyi Univ, Coll Resources & Environm, Shandong Prov Key Lab Water & Soil Conservat & Env, Linyi 276000, Peoples R China
推荐引用方式 GB/T 7714	Li, Qingfeng,Wang, Shengxia,Zhao, Chuancheng,et al. Evolutionary Characteristics of Daytime and Nocturnal Precipitation Heterogeneity in Gansu Province, Northwest China[J]. WATER,2023,15(19).
APA	Li, Qingfeng,Wang, Shengxia,Zhao, Chuancheng,Yao, Shuxia,&Li, Hongyuan.(2023).Evolutionary Characteristics of Daytime and Nocturnal Precipitation Heterogeneity in Gansu Province, Northwest China.WATER,15(19).
MLA	Li, Qingfeng,et al."Evolutionary Characteristics of Daytime and Nocturnal Precipitation Heterogeneity in Gansu Province, Northwest China".WATER 15.19(2023).