期刊文献+

ANNUAL VARIATIONS OF TEMPERATURE ON FOUR URBAN UNDERLYING SURFACES AND FITTING ANALYSIS 被引量:2

ANNUAL VARIATIONS OF TEMPERATURE ON FOUR URBAN UNDERLYING SURFACES AND FITTING ANALYSIS
下载PDF
导出
摘要 Based on the observed 2-year temperature data for four kinds of typical urban underlying surfaces,including asphalt, cement, bare land and grass land, the annual variations and influencing factors of landsurface temperature are analyzed. Then fitting equations for surface temperature are established. It is shownthat the annual variation of daily average, maximum and minimum temperature and daily temperature rangeon the four urban underlying surfaces is consistent with the change in air temperature. The difference oftemperature on different underlying surfaces in the summer half year (May to October) is much moreevident than that in the winter half year (December to the following April). The daily average and maximumtemperatures of asphalt, cement, bare land and grass land are higher than air temperature due to theatmospheric heating in the daytime, with that of asphalt being the highest, followed in turn by cement, bareland and grass land. Moreover, the daily average, maximum and minimum temperature on the four urbanunderlying surfaces are strongly impacted by total cloud amount, daily average relative humidity andsunshine hours. The land surface can be cooled (warmed) by increased total cloud amount (relativehumidity). The changes in temperature on bare land and grass land are influenced by both the total cloudamount and the daily average relative humidity. The temperature parameters of the four land surfaces aresignificantly correlated with daily average, maximum and minimum temperature, sunshine hours, dailyaverage relative humidity and total cloud amount, respectively. The analysis also indicates that the range offitting parameter of a linear regression equation between the surface temperature of the four kinds of typicalland surface and the air temperature is from 0.809 to 0.971, passing the F-test with a confidence level of 0.99. Based on the observed 2-year temperature data for four kinds of typical urban underlying surfaces,including asphalt, cement, bare land and grass land, the annual variations and influencing factors of landsurface temperature are analyzed. Then fitting equations for surface temperature are established. It is shownthat the annual variation of daily average, maximum and minimum temperature and daily temperature rangeon the four urban underlying surfaces is consistent with the change in air temperature. The difference oftemperature on different underlying surfaces in the summer half year (May to October) is much moreevident than that in the winter half year (December to the following April). The daily average and maximumtemperatures of asphalt, cement, bare land and grass land are higher than air temperature due to theatmospheric heating in the daytime, with that of asphalt being the highest, followed in turn by cement, bareland and grass land. Moreover, the daily average, maximum and minimum temperature on the four urbanunderlying surfaces are strongly impacted by total cloud amount, daily average relative humidity andsunshine hours. The land surface can be cooled (warmed) by increased total cloud amount (relativehumidity). The changes in temperature on bare land and grass land are influenced by both the total cloudamount and the daily average relative humidity. The temperature parameters of the four land surfaces aresignificantly correlated with daily average, maximum and minimum temperature, sunshine hours, dailyaverage relative humidity and total cloud amount, respectively. The analysis also indicates that the range offitting parameter of a linear regression equation between the surface temperature of the four kinds of typicalland surface and the air temperature is from 0.809 to 0.971, passing the F-test with a confidence level of 0.99.
出处 《Journal of Tropical Meteorology》 SCIE 2013年第2期138-144,共7页 热带气象学报(英文版)
基金 Model of Dynamic Monitoring of Drought Evaluation Method and Business System(CMATG2009MS22)
关键词 FITTING ANALYSIS URBAN UNDERLYING SURFACE land SURFACE TEMPERATURE fitting analysis urban underlying surface land surface temperature
  • 相关文献

参考文献10

  • 1历华,曾永年,柳钦火.基于遥感的长沙市城市热岛与土地利用/覆盖变化研究[J].国土资源遥感,2008,20(4):47-52. 被引量:37
  • 2张菁,梁红,姜晓艳,杨雨春,陈罡.沈阳市夏季不同下垫面温度特征及其在气象服务中的应用[J].气象科学,2008,28(5):528-532. 被引量:18
  • 3刘宇,匡耀求,吴志峰,黄宁生,周静.不同土地利用类型对城市地表温度的影响——以广东东莞为例[J].地理科学,2006,26(5):597-602. 被引量:73
  • 4Xiao-Ling Chen,Hong-Mei Zhao,Ping-Xiang Li.Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changesRemote Sensing of Environment,2006.
  • 5X. C. Lin,S. Q. Yu,G. Li. Tang.Study on the relation between urbanization and Beijing UHI intensityProgress in Natural Science,2005.
  • 6HOWARD L.The climate of London deduced from meteorological observations,1833.
  • 7XU Xiang-de,TANG Xu,XU Da-hai,et al.Instruction of Urbanization Environmental Meteorology,2002.
  • 8ATSUKO N,MUTSUKO K,TAKURO.Impact of land use and land cover changes on the ambient temperature in a middle scale city,Takamatsu,in Southwest JapanEnvironmental Management,2009.
  • 9CHEN Yu-rong.Research on the Relationship between the Thermal Characteristic of Underlying Surface and Urban Heat Island,2007.
  • 10CHINA METEOROLOGICAL ADMINISTRTION.Specifications for surface meteorological observation,2003.

二级参考文献55

共引文献118

同被引文献22

引证文献2

二级引证文献20

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部