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Assessing population movement impacts on urban heat island of Beijing during the Chinese New Year holiday: effects of meteorological conditions

机译:评估农历新年假期期间人口流动对北京城市热岛的影响:气象条件的影响

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摘要

Chinese New Year (CNY), or Spring Festival, is the most important of all festivals in China. We use daily observations to show that Beijing's urban heat island (UHI) effects largely depend on precipitation, cloud cover, and water vapor but are insensitive to wind speed, during the CNY holiday season. Non-precipitating, clear, and low humidity conditions favor strong UHI effects. The CNY holiday, with some 3 billion journeys made, provides a living laboratory to explore the role of population movements in the UHI phenomenon. Averaged over the period 2004-2013, with the Olympic year of 2008 excluded, Beijing's UHI effects during the CNY week decline by 0.48 A degrees C relative to the background period (4 weeks including 2 to 3 weeks before, and 2 to 3 weeks after, the CNY week). With combined effects of precipitation, large cloud cover, and high water vapor excluded, the UHI effects during the CNY week averaged over the study period decline by 0.76 A degrees C relative to the background period, significant at the 99% confidence level by Student's t test. These results indicate that the impacts of population movements can be more easily detected when excluding unfavorable meteorological conditions to the UHI. Population movements occur not only during the CNY holiday, but also during all the time across the globe. We suggest that better understanding the role of population movements will offer new insight into anthropogenic climate modifications.
机译:春节(CNY)是中国所有节日中最重要的节日。我们通过日常观察发现,在农历新年期间,北京的城市热岛效应主要取决于降水,云量和水汽,但对风速不敏感。非降水,清洁和低湿度条件有利于超强UHI效应。农历新年假期约有30亿次旅行,提供了一个活着的实验室来探讨人口流动在UHI现象中的作用。在2004年至2013年期间的平均水平(不包括2008年奥林匹克年),人民币周期间的北京UHI效应相对于背景时期(4周(包括前2至3周和后2至3周))降低了0.48 A摄氏度(人民币周)。排除降水,大云层覆盖和高水汽的综合影响,研究期间,人民币元周的平均UHI效应相对于背景期平均下降了0.76 A摄氏度,在学生的t值下达到了99%的置信水平。测试。这些结果表明,当排除UHI的不利气象条件时,可以更容易地检测到人口流动的影响。人口流动不仅在农历新年假期期间发生,而且在全球各地一直发生。我们建议,更好地了解人口流动的作用将为人为气候变化提供新的见解。

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  • 来源
    《Theoretical and applied climatology》 |2018年第4期|1203-1210|共8页
  • 作者

    Wu Lingyun; Zhang Jingyong;

  • 作者单位

    Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China;

    Chinese Acad Sci, Inst Atmospher Phys, Ctr Monsoon Syst Res, Beijing 100029, Peoples R China;

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