气候变化领域集成服务门户(CCPortal): Identifying the dominant driving factors of heat waves in the North China Plain

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DOI	10.1016/j.atmosres.2021.105458
	Identifying the dominant driving factors of heat waves in the North China Plain
	Wu X.; Wang L.; Yao R.; Luo M.; Li X.
发表日期	2021
ISSN	0169-8095
卷号	252
英文摘要	The driving factors of heat waves (HW) have been analyzed widely, but the relative importance of these factors is still poorly understood. In this study, the temporal and spatial variations of HW in the North China Plain (NCP) were investigated using meteorological datasets during 1961–2014. The relationship between HW and several potential driving factors related to climate change (air temperature, precipitation and solar radiation), anthropogenic activity (urbanization, irrigation and aerosol optical depth (AOD)), land-surface interaction (soil moisture, drought and land surface albedo) and atmospheric circulation were assessed. The relative importance of these factors was revealed based on all-subsets regression and hierarchical partitioning (HP) analysis. Results showed that HW in the NCP became increasingly intense, frequent, durable, and emerged earlier and terminated later, with a significant increased slope in intensity, frequency duration and timing. Spatially, greater upward trends were observed in the northern NCP. Climate warming, urbanization, irrigation, AOD, land surface albedo and Atlantic Multidecadal Oscillation were significantly correlated with HW. Based on HP analysis, the most important driving factor was climate warming, contributing approximately 40% to HW variation. The cumulative contribution rate of anthropogenic activity to the HW frequency, duration and amplitude reached nearly 35%. The AMO and land surface albedo explained approximately 15% and 20% of the HW variation, respectively. This study helps to understand the characteristics of regional extreme heat events and provides a scientific basis for developing HW alleviation strategies. © 2021 Elsevier B.V.
英文关键词	All-subsets regression; Heat waves; Hierarchical partitioning analysis; Influencing factors; The North China Plain
语种	英语
scopus关键词	Climate change; Irrigation; Landforms; Soil moisture; Solar radiation; Surface measurement; Aerosol optical depths; Anthropogenic activity; Atlantic multidecadal oscillations; Atmospheric circulation; Hierarchical partitioning; Land surface albedo; Meteorological datasets; Temporal and spatial variation; Factor analysis
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/162292
作者单位	Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, China; School of Geography and Planning, and Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, China
推荐引用方式 GB/T 7714	Wu X.,Wang L.,Yao R.,et al. Identifying the dominant driving factors of heat waves in the North China Plain[J],2021,252.
APA	Wu X.,Wang L.,Yao R.,Luo M.,&Li X..(2021).Identifying the dominant driving factors of heat waves in the North China Plain.Atmospheric Research,252.
MLA	Wu X.,et al."Identifying the dominant driving factors of heat waves in the North China Plain".Atmospheric Research 252(2021).