首页> 外文会议>2010 IEEE International Geoscience and Remote Sensing Symposium >Detection of meteorological stations' underlying surface change based on RS and analysis of its influence on air temperature change in China
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Detection of meteorological stations' underlying surface change based on RS and analysis of its influence on air temperature change in China

机译:基于RS的气象台地表下变化探测及其对中国气温变化的影响分析。

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Urban expansion has been the dominant characteristics in land use and land cover change in recent decades in China. Meteorological stations' observation environments are affected by urban heat island effect due to urban expansion, which leads to overestimation in the records of air temperature and influences the researches based on them. In this study, the underlying surface surrounding 756 meteorological stations across China was identified based on remote sensing images over a number of time intervals to distinguish the rural stations that became urban stations. 608 stations with continuous observation records during 1978 to 2007 are picked out, among which there are 58 urban stations. Annual and seasonal change characteristics of air temperature are analyzed based on these stations' records. It was concluded that the change rate of urban stations' annual mean air temperature is higher than the others' especially the minimum air temperature. The difference in air temperature of urban stations reduces more due to the minimum air temperature's greater rise. Air temperature in winter, spring and autumn show more apparent rising trend than in summer.
机译:近几十年来,城市扩张一直是土地利用和土地覆被变化的主要特征。气象站的观测环境由于城市扩张而受到城市热岛效应的影响,这导致对气温记录的高估,并影响基于它们的研究。在这项研究中,根据多个时间间隔内的遥感图像,确定了中国756个气象站周围的地下表面,以区分变成城市站的农村站。选取了1978年至2007年连续观测记录的608个站,其中城市站58个。根据这些站点的记录,分析了气温的年度和季节性变化特征。结论是,城市站点的年平均气温变化率要高于其他站点的最低气温。由于最低气温的上升幅度较大,城市车站的气温差减小得更多。与夏季相比,冬季,春季和秋季的气温上升趋势更为明显。

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