A study on the monitoring of heatwaves and bivariate frequency analysis based on mortality risk assessment in Wuhan, China

被引:0
|
作者
Chen, Si [1 ,2 ]
Zhao, Junrui [3 ]
Dou, Haonan [1 ]
Yang, Zhaoqian [4 ]
Li, Fei [3 ]
Byun, Jihye [5 ]
Kim, Seong Wook [6 ]
机构
[1] Hubei Univ, Sch Resources & Environm Sci, Wuhan, Peoples R China
[2] Hubei Univ, Hubei Key Lab Reg Dev & Environm Response, Wuhan, Peoples R China
[3] Zhongnan Univ Econ & Law, Sch Informat & Safety Engn, Wuhan, Peoples R China
[4] Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou, Peoples R China
[5] Univ Seoul, Dept Transportat Engn, Seoul, South Korea
[6] Hanyang Univ, Dept Appl Math, Ansan, South Korea
基金
新加坡国家研究基金会; 中国国家自然科学基金;
关键词
heatwave risk; copula function; global climate models; co-occurrence return periods; Wuhan city;
D O I
10.3389/fpubh.2024.1409563
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
The increasingly frequent occurrence of urban heatwaves has become a significant threat to human health. To quantitatively analyze changes in heatwave characteristics and to investigate the return periods of future heatwaves in Wuhan City, China, this study extracted 9 heatwave definitions and divided them into 3 mortality risk levels to identify and analyze historical observations and future projections of heatwaves. The copula functions were employed to derive the joint distribution of heatwave severity and duration and to analyze the co-occurrence return periods. The results demonstrate the following. (1) As the concentration of greenhouse gas emissions increases, the severity of heatwaves intensifies, and the occurrence of heatwaves increases significantly; moreover, a longer duration of heatwaves correlated with higher risk levels in each emission scenario. (2) Increasing concentrations of greenhouse gas emissions result in significantly shorter heatwave co-occurrence return periods at each level of risk. (3) In the 3 risk levels under each emission scenario, the co-occurrence return periods for heatwaves become longer as heatwave severity intensifies and duration increases. Under the influence of climate change, regional-specific early warning systems for heatwaves are necessary and crucial for policymakers to reduce heat-related mortality risks in the population, especially among vulnerable groups.
引用
收藏
页数:15
相关论文
共 30 条
  • [21] Study on Coupling Relationships between Urbanization and Ecological Environment-Based on Data Analysis from Wuhan
    Chen, Ping
    Shen, Haoju
    2015 4th International Conference on Social Sciences and Society (ICSSS 2015), Pt 4, 2015, 73 : 8 - 13
  • [22] Assessment of Urban Ecological Quality and Spatial Heterogeneity Based on Remote Sensing: A Case Study of the Rapid Urbanization of Wuhan City
    Li, Jingye
    Gong, Jian
    Guldmann, Jean-Michel
    Yang, Jianxin
    REMOTE SENSING, 2021, 13 (21)
  • [23] A Case Study on Strategic Environmental Assessment of the 11th Five-year Plan for National Economic and Social Development of Wuhan City in China
    Tian, Lili
    Wu, Jing
    PROGRESS IN ENVIRONMENTAL SCIENCE AND ENGINEERING (ICEESD2011), PTS 1-5, 2012, 356-360 : 801 - 807
  • [24] Drought disaster risk assessment and yield insurance pricing of maize: a case study of Liaoning Province, China
    Wu, Rina
    Yang, Yue
    GEOMATICS NATURAL HAZARDS & RISK, 2024, 15 (01)
  • [25] A Copula Function-Monte Carlo Method-Based Assessment of the Risk of Agricultural Water Demand in Xinjiang, China
    Wang, Xianli
    Zhao, Zhigang
    Jie, Feilong
    Xu, Jingjing
    Li, Sheng
    Hao, Kun
    Peng, Youliang
    AGRICULTURE-BASEL, 2024, 14 (11):
  • [26] Coincidence Risk Analysis of Floods Using Multivariate Copulas: Case Study of Jinsha River and Min River, China
    Peng, Yang
    Shi, Yulong
    Yan, Hongxiang
    Chen, Kai
    Zhang, Jipeng
    JOURNAL OF HYDROLOGIC ENGINEERING, 2019, 24 (02)
  • [27] Multivariate water environmental risk analysis in long-distance water supply project: A case study in China
    Zhang, Chi
    Nong, Xizhi
    Shao, Dongguo
    Zhong, Hua
    Shang, Yuming
    Liang, Jiankui
    ECOLOGICAL INDICATORS, 2021, 125 : 70 - 82
  • [28] Exploration of copula function use in crop meteorological drought risk analysis: a case study of winter wheat in Beijing, China
    Li, Ying
    Gu, Wei
    Cui, Weijia
    Chang, Zhiyun
    Xu, Yingjun
    NATURAL HAZARDS, 2015, 77 (02) : 1289 - 1303
  • [29] Exploration of copula function use in crop meteorological drought risk analysis: a case study of winter wheat in Beijing, China
    Ying Li
    Wei Gu
    Weijia Cui
    Zhiyun Chang
    Yingjun Xu
    Natural Hazards, 2015, 77 : 1289 - 1303
  • [30] Risk Assessment of Different Maize (Zea mays L.) Lodging Types in the Northeast and the North China Plain Based on a Joint Probability Distribution Model
    Zan, Xuli
    Xing, Ziyao
    Gao, Xiang
    Liu, Wei
    Zhang, Xiaodong
    Liu, Zhe
    Li, Shaoming
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2021, 10 (11)