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1960~2010年濮阳气温日较差的多时间尺度特征及其与气象因子的相关性分析
引用本文:张青珍.1960~2010年濮阳气温日较差的多时间尺度特征及其与气象因子的相关性分析[J].江西农业学报,2011,23(12):133-136,149.
作者姓名:张青珍
作者单位:河南省气候中心,河南郑州,450003
摘    要:利用数理统计的方法研究了1960~2010年濮阳市气温日较差的多时间尺度特征,分析了影响气温日较差呈减少趋势的气象因子。结果表明:全年、春季、夏季和冬季的气温日较差均呈显著的减少趋势,减少速率分别为-0.181、-0.231、-0.247和-0.258℃/10a。春季和冬季气温日较差减少主要是由平均最低气温显著升高引起的,夏季则主要是由平均最低气温升高和平均最高气温下降共同引起的。影响年均气温日较差的极显著因子有平均最高气温、平均最低气温、降水量、日照时数、相对湿度和水汽压,显著因子是总云量。

关 键 词:濮阳  气温日较差  多时间尺度  变化趋势  气象因子  相关性

Analysis on Multiple Time Scale Characteristics of Diurnal Temperature Range in Puyang during 1960 ~ 2010 and Its Correlation with Meteorological Factors
ZHANG Qing-zhen.Analysis on Multiple Time Scale Characteristics of Diurnal Temperature Range in Puyang during 1960 ~ 2010 and Its Correlation with Meteorological Factors[J].Acta Agriculturae Jiangxi,2011,23(12):133-136,149.
Authors:ZHANG Qing-zhen
Institution:ZHANG Qing - zhen ( Climate Center of Henan Province, Zhengzhou 450003, China)
Abstract:The multiple time scale characteristics of diurnal air temperature range in Puyang from 1960 to 2010 were studied by using mathematical statistics method, and the meteorological factors influencing the decrease of the diurnal temperature range were analyzed. The results showed that the diurnal temperature range significantly decreased in the whole year, spring, summer and winter, with the reducing rate of -0. 181, -0.231, -0. 247 and -0. 258 ~C/10a, respectively. The decrease of diurnal temperature range in spring and winter was mainly caused by the obvious rising of average lowest air temperature, and that in summer was mainly caused by the increase of average lowest air temperature and the decline of average highest air temperature. The factors extremely significantly influencing the annual average diurnal temperature range were average lowest air temperature, average highest air temperature, precipitation, sunshine duration, relative humidity and vapour pressure, and the significantly influential factor was total cloud amount.
Keywords:Puyang  Diurnal temperature range  Multiple time scale  Variation trend  Meteorological factor  Correlation
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