干旱区生态环境知识资源中心(Arid): Analysis of Spatiotemporal Variation Characteristics and Driving Factors of Drought in Yinshanbeilu Inner Mongolia Based on a Cloud Model

Arid

DOI	10.3390/w16020265
	Analysis of Spatiotemporal Variation Characteristics and Driving Factors of Drought in Yinshanbeilu Inner Mongolia Based on a Cloud Model
	Zhang, Zezhong; Fu, Bin; Wang, Sinan; Wang, Fei; Lai, Hexin; Zhang, Weijie; Feng, Kai; Guo, Hengzhi
通讯作者	Fu, B
来源期刊	WATER
EISSN	2073-4441
出版年	2024
卷号	16 期号:2
英文摘要	Drought refers to a meteorological disaster that results in insufficient soil moisture due to a long-term lack of rainfall and disrupts the moisture balance of crops. Yinshanbeilu in Inner Mongolia is an arid and semi-arid region, and the onset of drought and its subsequent transmission is a key challenge in water resource management. This study takes Yinshanbeilu as the study area, analyses the changing characteristics of multi-timescale drought from 1971 to 2020 based on the Standardised Precipitation Index (SPI), and analyses the stochasticity and stability of the drought by using a cloud model. Finally, the cross-wavelet transform method and Pearson's test are used to explore the correlation between atmospheric circulation factors, PRE and PET, and drought. The results indicate that (1) on the annual scale, the frequency of drought in Yinshanbeilu mainly ranges from 22% to 28%, with a high frequency of light droughts, a low frequency of severe droughts, a high frequency of droughts in the east and west, and a low frequency of droughts in the north and south; on the seasonal scale, the frequency of droughts in winter is the highest, with a rate of 34.6%, and the lowest frequency of droughts is in autumn, with a rate of 28.3%. (2) There is a decreasing trend in Entropy (En) and Hyper-Entropy (He), and an increasing trend in Expectation (Ex) for the inter-annual SPI-12 cloud model. Spatially, Ex and He are negatively correlated, while En and He are positively correlated. The inter-annual variation in cloud eigenvalues is greater than the inter-site variation, so the cloud model better reflects the spatial stochasticity and stability of regional inter-annual SPI. For the seasonal-scale SPI-3 cloud model, Ex is smaller in all seasons, En is also smaller, and He is larger. (3) Sunspot, PRE (precipitation), and PET (Potential Evapotranspiration) are all positively correlated with SPI and have the highest correlation. This study reveals the characteristics and causes of variations of drought in Yinshanbeilu, which can be applied to future research areas related to regional drought risk management.
英文关键词	SPI drought cloud model characteristics of spatial and temporal variations multivariate cross-wavelet transform technology atmospheric circulation factor Yinshanbeilu
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001151463200001
WOS关键词	CHANGING CLIMATE ; INDEX ; RISK
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/405847
推荐引用方式 GB/T 7714	Zhang, Zezhong,Fu, Bin,Wang, Sinan,et al. Analysis of Spatiotemporal Variation Characteristics and Driving Factors of Drought in Yinshanbeilu Inner Mongolia Based on a Cloud Model[J],2024,16(2).
APA	Zhang, Zezhong.,Fu, Bin.,Wang, Sinan.,Wang, Fei.,Lai, Hexin.,...&Guo, Hengzhi.(2024).Analysis of Spatiotemporal Variation Characteristics and Driving Factors of Drought in Yinshanbeilu Inner Mongolia Based on a Cloud Model.WATER,16(2).
MLA	Zhang, Zezhong,et al."Analysis of Spatiotemporal Variation Characteristics and Driving Factors of Drought in Yinshanbeilu Inner Mongolia Based on a Cloud Model".WATER 16.2(2024).