| 开平市1960—2012年灰霾的气候变化特征 |
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| 引用本文： | 安宁,任爽.开平市1960—2012年灰霾的气候变化特征[J].广东气象,2014(2):47-50. |
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| 作者姓名： | 安宁 任爽 |
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| 作者单位： | 开平市气象局,广东开平529300 |
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| 摘 要： | 根据开平气象观测站1960—2012年观测资料,采用滑动平均、线性趋势分析等统计方法,分析了开平市近53年灰霾的气候变化特征。结果表明,开平市年平均灰霾日数为21.1 d,年最多132 d,年最少0 d,总体呈上升趋势,上升速率为1.72 d/年,特别是2000年以来年灰霾日上升趋势最为显著,上升速率达10.01 d/年。其中,20世纪80年代中后期、90年代中期和21世纪初是3个明显的上升阶段,21世纪以来,年平均灰霾日数58.4 d,是20世纪80年代平均值的近17倍。开平市灰霾以轻微为主,比例达57.6%,其次是轻度,比例为22.6%。另外,采用日均值、14：00实测值判别法得到的开平市灰霾日整体变化趋势与人工记录较一致,但3种方法统计的多年平均灰霾日相差较大,其中,日均值法计算的多年平均霾日数较14：00实测值法多13.8 d。
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| 关 键 词： | 灰霾 气候变化 线性趋势分析 灰霾判别方法 开平市 |
Characteristics of the Climatological Variation of Haze in Kaiping City from 1960 to 2012 |
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| AN Ning,REN Shuang.Characteristics of the Climatological Variation of Haze in Kaiping City from 1960 to 2012[J].Journal of Guangdong Meteorology,2014(2):47-50. |
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| Authors: | AN Ning REN Shuang |
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| Institution: | ( Meteorological Bureau of Kaiping City, Kaiping 529300) |
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| Abstract: | Based on the observations from meteorological stations of Kaiping from 1963 to 2012 and with the methods of moving average and linear trends analysis,this work studies the climatological variation of haze in the city for the past 53 years. The results are shown as follows. The annual mean number of hazy days in the city is 21. 1 d,with the annual maximum at 132 d and annual minimum 0 d,showing a general trend of increasing at a rate of 1. 72 d /year. It is noted that the number of hazy days increases most significantly since 2000,or at a rate of 10. 01 d /year. Specifically,the mid-and·late-1980 s,mid-1990s and early 2000s are the three periods of time that are marked with significant rises. Since the beginning of the21st century,the number of annual hazy days is 58. 4 d,and then 17 times as many as the average for the1980s. The haze of Kaiping is mostly light in intensity,57. 6%,almost light to moderate,22. 6%,of the total occurrence. In addition,the overall trend of variation of the number of hazy days is quite consistent with that of manual measuring when methods of daily mean and estimating with 14： 00 observations are used.However,the three methods presented above result in much different diurnal variation of multiyear mean number of hazy days. For instance,the multiyear mean number of hazy days is 13. 8 d more than that determined with the method of 14： 00 observations. |
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| Keywords: | haze climate change linear trend analysis haze estimation methods Kaiping city |
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