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城市市中心与郊区气温变化趋势对比分析
引用本文:吴珂,梁国坚,陈德英.城市市中心与郊区气温变化趋势对比分析[J].山东师范大学学报(自然科学版),2013(2):126-131.
作者姓名:吴珂  梁国坚  陈德英
作者单位:[1]南京信息工程大学,南京210044 [2]山东省气象局后勤服务中心,济南250031 [3]山东省肥城市气象局,山东肥城271600 [4]山东省气象信息中心,济南250031
基金项目:山东省泰安市气象局科研计划资助项目(2007taqx002)
摘    要:城市中心与市郊的气象因子差异会对气象历史资料产生影响,观测对比分析两地的气象因子可有助于我们对这一特定历史时期的气象资料做出评价.2007年1—7月,选取位于肥城市市中心的原大气观测场与位于市郊的新大气观测场作为对比,在两地分设同型号的自动气象观测站,对期间两站址包括气温等气象要素因子同步进行了对比观测实验.分析发现,市中心与市郊两地气温变化趋势一致,两地气温存在显著的正相关,但两地气温数据存在明显差异,市中心观测站气温统计偏高.通过对样本资料作假设统计检验,发现两地气温数据资料已经不适合合并计算,要得到期间较准确的代表当地气温记录,最好在使用前做出必要订正,以消除“城市热岛效应”方面的影响.

关 键 词:市中心  市郊  气温  城市热岛效应  对比分析

THE TEMPERATURE VARIATION TREND CONTRAST ANALYSIS FOR FEICHENG URBAN AND SUBURB
Wu Ke Liang Guojian Chen Deying.THE TEMPERATURE VARIATION TREND CONTRAST ANALYSIS FOR FEICHENG URBAN AND SUBURB[J].Journal of Shandong Normal University(Natural Science),2013(2):126-131.
Authors:Wu Ke Liang Guojian Chen Deying
Institution:Wu Ke Liang Guojian Chen Deying ( 1 Nanjing University of Information Science Technology, 210044, Nanjing, China; 2 Shandong Province Meteorology Bureau Logistics Service Center, 250031, Jinan, China ; 3 Feicheng Meteorology Bureau, 271600 Feicheng, Shandong, China; 4 Shandong Meteorology Information Center, 250031, Jinan, China )
Abstract:The difference between urban and suburban meteorological factors affects the meteorological historical data. Observation contrast analysis on these meteorological factors can help us evaluate the meteorological data of the specific historical period. From January 2007 to July, we chose Feicheng atmospheric observation station in downtown Feicheng as urban site and an atmospheric observation station in the suburb as contrast site. On both sites we set up the same equipment for automatic weather observation and did contract observation experiment simultaneously against meteorological elements including temperature. Analysis found that the two sites, showed the same trend in temperature change with a significant positive correlation. But there is a marked difference in temperature between the two sites, urban station shows higher temperature. Based on statistical hypothesis test for sample data, we found it is not proper to use the data from these two sites for combined Calculation. To get more accurate and representatives of local temperature records, we must make some necessary corrections to eliminate the "urban heat island effect".
Keywords:urban  suburbs  the temperature  urban heat island effect  contrast analysis
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