长江流域资源与环境 >> 2024, Vol. 33 >> Issue (12): 2754-2766.doi: 10.11870/cjlyzyyhj202412016

• 自然灾害 • 上一篇    下一篇

城市化对长江中游城市群极端温度事件的影响

刘小欢1,2,梁友嘉4,5,桂智凡1,2,3*   

  1. (1.湖北师范大学城市与环境学院,湖北 黄石 435002;2.湖北师范大学资源枯竭城市转型发展研究中心,湖北 黄石 435002;3.黄石市土壤污染防治重点实验室,湖北 黄石 435002;4.武汉理工大学资源与环境工程学院,湖北 武汉 430070;5.关键非金属矿产资源绿色利用教育部重点实验室,湖北 武汉 430070)
  • 出版日期:2024-12-20 发布日期:2024-12-27

Effect of Urbanization on Extreme Temperature Events in Urban Agglomeration in the Middle Reaches of the Yangtze River 

LIU Xiao-huan1,2,LIANG You-jia4,5,GUI Zhi-fan1,2,3   

  1. (1.College of Urban and Environmental Sciences, Hubei Normal University, Huangshi 435002, China; 2.Research Center for Resource Depletion and Urban Transformation and Development of Hubei Normal University, Huangshi 435002, China; 3.Key Laboratory Soil Pollution Control and Prevention in Huangshi, Huangshi 435002, China; 4.School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China; 5.Key Laboratory of Green Utilization of Critical Non-metallic Mineral Resources, Ministry of Education Wuhan 430070, China)
  • Online:2024-12-20 Published:2024-12-27

摘要: 探究城市化在极端温度事件中的作用有助于了解极端温度事件演变规律及降低其灾损。基于2000~2020年长江中游城市群逐日气象观测数据和土地利用/土地覆被数据,通过Sen’s斜率估计和Mann-Kendall显著性检验分析了城乡站点极端温度事件的时间变化趋势,采用城市化影响及其贡献率和景观格局指数法探讨了城市化和景观格局变化对极端温度事件的影响。结果表明:(1)2000~2020年长江中游城市群城乡站点极端温度事件变化趋势整体同向,极端高温(低温)事件呈增加(减少)趋势。(2)城市化加剧了夜极端温度事件发生的频率,热夜日数(TR)和冷夜日数(TN10p)城市化影响分别为0.19和0.27d/10a,对应的贡献率分别为49.79%和74.08%。(3)建设用地斑块面积占比、斑块密度和总边缘长度增加,以及整体景观破碎化程度加剧、多样性增强和形状复杂化与热夜日数(TR)和最低气温极小值(TNn)的相关性最强。总建设用地边缘长度(TE_C)与TR的相关性系数最大(0.25)。总体来说,城市化会影响长江中游城市群极端温度事件发生频率和强度。

Abstract: The study of urbanization's role in extreme temperature events can help to understand the evolution of these events and to reduce their damage. Based on daily meteorological observation data and land use/ cover change data from urban and rural sites in urban agglomeration in the middle reaches of the Yangtze River during 2000~2020, this study analyzed the temporal trends of extreme temperature events. Sen's slope estimation and the Mann-Kendall significance test were adopted in this study. The impact of urbanization and changes in landscape patterns on extreme temperature events was also discussed, in terms of the contribution rate. The results showed: (1) From 2000 to 2020, the overall trend of extreme temperature events at urban and rural sites in the study area was in the same direction, with an increasing trend in extreme high temperatures and a decreasing trend in extreme low temperatures. (2) Urbanization intensified the frequency of extreme temperature events at night. Impact of urbanization on the number of hot nights (TR) and cold nights (TN10p) was calculated as 0.19 days per decade and 0.27 days per decade, respectively, with the corresponding contribution rates of 49.79% and 74.08%. (3) The increase in the proportion of construction land patch area, patch density, and total edge length, as well as the overall increase in landscape fragmentation, diversity, and shape complexity, demonstrated the strongest correlation with the number of hot nights (TR) and the minimum extreme low temperature (TNn). The total edge length of construction land (TE_C) had the largest correlation coefficient with TR (0.25). Overall, urbanization noticeably affected the frequency and intensity of extreme temperature events in urban agglomeration in the middle reaches of the Yangtze River.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!