气候变化研究进展 ›› 2017, Vol. 13 ›› Issue (5): 456-464.doi: 10.12006/j.issn.1673-1719.2016.226

• 气候系统变化 • 上一篇    下一篇

城市化对长沙市两气象站气温记录的影响

金凯1, 王飞1,2,3, 苟娇娇2,3   

  1. 1 西北农林科技大学水土保持研究所, 杨凌 712100;
    2 中国科学院水利部水土保持研究所, 杨凌 712100;
    3 中国科学院大学, 北京 100049
  • 收稿日期:2016-11-18 修回日期:2017-01-09 出版日期:2017-09-30 发布日期:2017-09-30
  • 通讯作者: 王飞 E-mail:wafe@ms.iswc.ac.cn
  • 作者简介:金凯,男,博士研究生
  • 基金资助:

    中国科学院国际合作局对外合作重点项目(16146KYSB20150001);欧盟委员会Horizon2020项目“基于中欧农业生产与环境恢复的交互式土壤质量评价”(635750);中国科学院西部之光人才培养计划联合学者项目“黄土高原侵蚀坡地退耕还林草综合评价与可持续对策研究”(院[2013]165);国家重点研发计划“黄土高原水土流失治理与生态产业协同发展技术集成与模式”(2016YFC0501707)

Urbanization Effects on the Observed Temperature of Two Meteorological Stations in Changsha City

Jin Kai1, Wang Fei1,2,3, Gou Jiaojiao2,3   

  1. 1 Institute of Soil and Water Conservation, Northwest A & F University, Yangling 712100, China;
    2 Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling 712100, China;
    3 University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2016-11-18 Revised:2017-01-09 Online:2017-09-30 Published:2017-09-30

摘要:

为深入认识城市对其附近气象站气温的影响,采用位于长沙市区东部和西部两个气象观测站的2007-2009年的逐日气温、风向和风速资料,结合地表覆盖特征数据,对比分析了两站气象记录差异,并通过改进的城市影响指数模型估算了气温资料中的城市影响偏差。分析显示:(1)2007-2009年东、西气象站逐月平均气温(Tmean)、最高气温(Tmax)和最低气温(Tmin)差异很大,最大差异分别可达0.90℃、0.83℃和1.34℃;(2)受城市及风向的影响,两气象站的逐月城市影响指数(K)差异较大,东、西站平均K值分别为2.01和1.50,年内同一台站的K值存在季节变化规律;(3)两站逐月△K与△T之间存在极显著正相关关系;(4)东、西两站2007年Tmean中的城市增温最大,分别达0.63℃和0.45℃。城市附近气象站气温记录受城市规模、风向和风速等因素影响明显,在分析长历时气候变化特征和利用站点记录数据进行空间分析时,有必要对气温数据进行订正。

关键词: 长沙市, 城市化, 气象站, 气温, 城市增温

Abstract:

The daily data of temperature, wind direction and wind speed during 2007-2009 of the two meteorological stations located in the east and west regions of Changsha city, as well as the land cover dataset, were analyzed for better understanding of the impact of urbanization on the temperature records of meteorological stations close to city. The differences of climatic factors between the two stations were contrastively analyzed and the urban biases of temperature data were estimated by using the modified urban impact indicators. The results showed that the monthly mean temperature (Tmean), mean maximum temperature (Tmax) and mean minimum temperature (Tmin) at two stations differed greatly, and the largest difference were up to 0.90℃, 0.83℃ and 1.34℃, respectively. As influenced by urban area and wind directions, significant difference of monthly urban impact indicator (△K) between the two stations was observed, and the average K of East station and West station were 2.01 and 1.50, respectively. There was seasonal variation of the K at each station, and the △K and △T of two stations were positively and significantly correlated. The largest urban warming in Tmean of East station and West station were observed in 2007, which were up to 0.63℃ and 0.45℃, respectively. It is necessary to adjust the temperature data when analyzing the long-term climate change and using station records to analyze the spatial change of climate because the temperature records of meteorological stations near cities were significantly influenced by urban size, wind direction and wind speed.

Key words: Changsha city, urbanization, meteorological station, temperature, urban warming

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