中国农业气象 ›› 2013, Vol. 34 ›› Issue (04): 480-485.doi: 10.3969/j.issn.1000-6362.2013.04.016

• 论文 • 上一篇    下一篇

近51年浙江湖州霾日气候资料重建及其变化特征分析

李洪权,陈中赟,陈世春,骆丽楠,刘双喜   

  1. 湖州市气象局,湖州313000
  • 收稿日期:2012-11-15 出版日期:2013-08-20 发布日期:2014-01-03
  • 作者简介:李洪权(1980-),黑龙江人,硕士,工程师,主要从事天气预报和气候变化研究。Email:l-hongquan@163.com
  • 基金资助:

    湖州市科技攻关计划项目(2011GS09)

Meteorological Data Reconstruction and Changing Characteristics of Haze Days during Last 51 Years in Huzhou

LI Hong quan,CHEN Zhong yun,CHEN Shi chun,LUO Li nan,LIU Shuang xi   

  1. Huzhou Meteorological Bureau,Zhejiang Province,Huzhou 313000,China
  • Received:2012-11-15 Online:2013-08-20 Published:2014-01-03

摘要: 利用湖州国家基本气象站1961-2011年能见度、相对湿度和天气现象资料,采用一日3个时次(T1)和4个时次(T2)分别取平均值作为日均值两种方案重建湖州霾日气候数据,对比后选择最优重建结果对近51a湖州霾日变化特征进行分析。结果表明,(1)以日均值法重建的霾日气候数据具有一定的参考性,其中T1的霾日数据序列分布均匀,更符合天气现象的变化规律,且与人工记录相关显著,吻合度高。(2)近51a来湖州总霾日上升趋势明显,各等级霾日也均呈上升趋势,尤以重度霾日上升显著。(3)总霾日和各等级霾日均为冬季最多,夏季最少,四季霾日均呈增加趋势,其中秋季上升趋势最明显,冬季次之,夏季最慢。(4)总霾日和各等级霾日月际变化均呈“V”字分布,其中12月霾日最多,7月最少;各月霾日均为上升趋势,10月上升最显著。研究结果有利于避免直接利用地面观测记录研究霾而产生缺乏连续性和可比性的问题,可为科学认识霾提供依据,也可为生态建设和大气环境治理提供参考。

关键词: 霾日数, 资料重建, 霾等级, 湖州,

Abstract: Based on observed data,including visibility,relative humidity and weather phenomena,from Huzhou national basic meteorological station from 1961 to 2011,the haze days data was reconstructed by using of two daily average methods.The optimal reconstructed result was analyzed.The results showed that the meteorological data of haze days reconstructed by the daily average method had certain reference value.Among which 3 times a day on average as the average daily value to reconstruct the meteorological data sequence was welldistributed and accorded with the changing rules of weather phenomenon.And it had a good correlation and correspondence degree with the records from surface meteorological observed data.The haze days increased obviously,and haze days on different levels increased as well.The severe haze days were increased significantly.The haze days and its different levels were highest in winter and lowest in summer.Haze days in four seasons showed increasing trend,among which the days in autumn increased obviously,followed by the winter and summer was slowest.Monthly variation of haze days and haze days on different levels showed a"V"distribution,and the peak value appeared in December and the bottom was in July.Haze days in each month showed increasing trend,and in October particular.The research results could provide a basis for scientific understanding of haze and some references for ecological construction and atmospheric environmental governance.

Key words: Haze days, Data reconstruction, Haze levels, Huzhou, Haze