长江流域资源与环境 >> 2014, Vol. 23 >> Issue (12): 1762-.doi: 10.11870/cjlyzyyhj201412017

• 雾霾专栏 • 上一篇    下一篇

安徽省霾时空分布特征分析

刘晓蓓,金素文   

  1. (安徽省气象信息中心,安徽 合肥 230031)
  • 出版日期:2014-12-20

SPATIALTEMPORAL VARIATION CHARACTERISTICS OF HAZE DAYS IN ANHUI PROVINCE

LIU Xiaobei, JIN Suwen   

  1. ( Anhui Meteorological Information Center, Heifei 230031, China)
  • Online:2014-12-20

摘要:

利用安徽省78个气象台站1971~2010年能见度和相对湿度资料,统计出历年各站霾发生日数并分析其时空分布特征,通过历年霾日数变化趋势、EOF分析等方法对安徽省近40 a霾的气候变化特征进行分析。结果表明:安徽省霾日数存在显著的增多趋势;霾高发期在秋冬季,1月更是一年中霾发生最多的月份;5~6月是霾发生的次高峰,6月的极重霾为全年中最多;白天出现霾的几率高于夜晚,早上8时是一天中最容易出现霾的时刻。安徽省霾年平均日数的空间分布很不均匀,平原多于山区,主要城市及周边地区的年平均霾日数较多,山区很少;沿淮淮北的极重霾日数最多。2007年前后霾的年平均日数达到40 a来的最高值。霾日数EOF前4个模态累积方差贡献为793%,说明安徽省绝大部分地区霾日数随年代的变化都是呈增长趋势;时间系数表现为明显的年代变化,以3~4 a周期震荡增长为主

Abstract:

By using daily visibility and relative humidity data in 78 meteorological stations of Anhui Province during 1971-2010,this paper analyzed the temporal and spatial distribution characteristics of haze days.It also analyzed the climate variation of haze days in recent 40 years in Anhui province by using EOF decomposition method. The results show as follows.There was a significant increasing trend of haze days in Anhui Province. The most concentrated period of time for haze was in winter, the daily variation of haze days mainly showed twopeak structure,one peak was in January, and the second peak was in May to June.The heavest haze offen occured in June. The diurnal variation showed haze more happened in day time than night,peaking at 08〖DK〗∶00 BT. The spatial distribution characteristics of haze days was were very inhomogeneous,haze more happened in plains and around major cities than in mountains. The heavest haze days most happened in Huaibei. The annual haze days was highest at 2007 in 40 years.The contribution of the first four modal cumulative variance of EOF decomposition of haze days up to 793%. The spatial distribution of haze days was increasing with years in most areas in Anhui province.The time coefficient showed the haze days had significant annual variation of 3-4 years oscillatory growth

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