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Spatio-temporal patterns of hot extremes in China based on complex network analysis

文献类型：期刊论文

作者Zhang, Peng1; Dai, Erfu1; Wu, Chunsheng1; Hu, Jun2
刊名CLIMATE DYNAMICS
出版日期2023-09-09
卷号N/A
ISSN号0930-7575
关键词Complex network Hot extremes Visibility Graph Community detection Hazard
DOI10.1007/s00382-023-06947-9
产权排序1
文献子类Article ; Early Access
英文摘要In the face of escalating frequency and severity of hot extreme (HE) events worldwide, understanding their spatio-temporal characteristics and hazard patterns has become crucial. This study employs a complex network (CN) approach, specifically using visibility graph and similarity network analysis, to investigate HEs. According to the HE network, we have successfully identified anomalous years, divided stages of change, selected representative cities, and zoned spatial hazard patterns of HE. Results reveal that 85% of cities in China experienced varying degrees of increasing HEs, with the highest increase observed as 63 times. The HE networks in China exhibit small-world characteristics, allowing the classification of HE changes into 5-8 stages and 10 types. Hefei emerges as the most representative city in this context. Additionally, the hazard of HE in China can be divided into four grades, with a gradual increase from north to south. This study sheds light on the intensifying hot extreme events in China and establishes a connection between CN and HE analysis, offering innovative ideas and methods for studying climate extremes.
学科主题Meteorology & Atmospheric Sciences
WOS关键词TIME-SERIES ; COMMUNITY STRUCTURE ; TEMPERATURE ; COEFFICIENT ; INCREASE
WOS研究方向Meteorology & Atmospheric Sciences
出版者SPRINGER
WOS记录号WOS:001062323200001
源URL[http://ir.igsnrr.ac.cn/handle/311030/197866]  
专题拉萨站高原生态系统研究中心_外文论文
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Lhasa Plateau Ecosyst Res Stn, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Fuzhou Univ, Sch Econ & Management, Fuzhou 350108, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Peng,Dai, Erfu,Wu, Chunsheng,et al. Spatio-temporal patterns of hot extremes in China based on complex network analysis[J]. CLIMATE DYNAMICS,2023,N/A.
APA Zhang, Peng,Dai, Erfu,Wu, Chunsheng,&Hu, Jun.(2023).Spatio-temporal patterns of hot extremes in China based on complex network analysis.CLIMATE DYNAMICS,N/A.
MLA Zhang, Peng,et al."Spatio-temporal patterns of hot extremes in China based on complex network analysis".CLIMATE DYNAMICS N/A(2023).

入库方式： OAI收割

来源：地理科学与资源研究所

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