宁波地区不同季节不同强度霾天气变化特征

doi:10.3969/j.issn.1673-503X.2018.05.005

Abstract

Abstract: Characteristics of haze in Ningbo were analyzed using the hourly meteorological data and concentration of pollutants in Zhenhai from 2014 to 2016.The result shows that the hourly frequency of haze is 28.8%,and the ratio of damp haze is 61.0%.The frequency of haze has decreased during the recent three years.Haze occurred more frequently from November to January and less in summer.The diurnal variation of haze has double peaks which appear at 09:00 and 20:00-23:00 respectively.When the haze is heavy,the particulate concentrations of PM_2.5 and PM₁₀ were 2.13 times and 1.92 times as high as those during light haze days.The concentration of particulate matter of dry haze was higher than that of damp haze.The composition of particulate was relatively stable in Ningbo,and the value of PM_2.5/PM₁₀ was around 0.7.The correlation of particle concentration with wind speed and precipitation is good.Wind speed and PM_2.5 is higher in spring and summer,while PM₁₀ is higher in autumn and winter.The correlation between precipitation and PM₁₀ is higher than PM_2.5.The low ground wind speed with stable weather can easily cause an increase in the accumulation of fine particulate matter concentrations.Wind from the northwest and northeast in winter is the main conveying path that results in the change of PM_2.5 concentrations in the Ningbo area.When the wind direction changes to the northwest,PM₁₀ concentration in winter and spring will increase significantly.

Key words: Haze, Particulate, Meteorological factors, Correlation analysis

CLC Number:

X513

HU Xiao, XU Lu, JIANG Fei-yan, YU Ke-ai. Seasonal characteristics of haze events with different intensity in Ningbo area[J]. Journal of Meteorology and Environment, 2018, 34(5): 31-38.

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References

[1] 《大气科学辞典》编委会.大气科学辞典[M].北京:气象出版社,1994:408-677.
[2] 吴兑.近十年中国灰霾天气研究综述[J].环境科学学报,2012,32(2):257-269.
[3] 吴兑.关于霾与雾的区别和灰霾天气预警的讨论[J].气象,2005,31(4):3-7.
[4] 吴兑.再论都市霾与雾的区别[J].气象,2006,32(4):9-15.
[5] Liu X D,Xie X N,Yin Z Y,et al.A modeling study of the effects of aerosols on clouds and precipitation over East Asia[J].Theoretical and Applied Climatology,2011,106(3/4):343-354.
[6] 张小曳,孙俊英,王亚强,等.我国雾-霾成因及其治理的思考[J].科学通报,2013,58(13):1178-1187.
[7] 吴兑.大城市区域霾与雾的区别和灰霾天气预警信号发布[J].环境科学与技术,2008,31(9):1-7.
[8] 白志鹏,蔡斌彬,董海燕,等.灰霾的健康效应[J].环境污染与防治,2006,28(3):198-201.
[9] 杨洪斌,邹旭东,汪宏宇,等.大气环境中PM_2.5的研究进展与展望[J].气象与环境学报,2012,28(3):77-82.
[10] 高歌.1961-2005年中国霾日气候特征及变化分析[J].地理学报,2008,63(7):761-768.
[11] 吴兑,毕雪岩,邓雪娇,等.珠江三角洲大气灰霾导致能见度下降问题研究[J].气象学报,2006,64(4):510-517,538.
[12] 吴兑,刘啟汉,梁延刚,等.粤港细粒子(PM_2.5)污染导致能见度下降与灰霾天气形成的研究[J].环境科学学报,2012,32(11):2660-2669.
[13] 翁之梅,李丽平,杨万裕,等.浙江省冬季不同霾过程的后向气流轨迹及环流特征[J].气象,2016,42(2):183-191.
[14] 任阵海,苏福庆,高庆先,等.边界层内大气排放物形成重污染背景解析[J].大气科学,2005,29(1):57-63.
[15] 张人禾,李强,张若楠.2013年1月中国东部持续性强雾霾天气产生的气象条件分析[J].中国科学:地球科学,2014,44(1):27-36.
[16] 王珊,廖婷婷,王莉莉,等.西安一次霾重污染过程大气环境特征及气象条件影响分析[J].环境科学学报,2015,35(11):3452-3462.
[17] 庄雯雯,贺千山,王军,等.基于地面微脉冲激光雷达的上海冬季霾强度及高度分析[J].环境科学学报,2015,35(3):627-635.
[18] 贺千山,潘鹄,黄颖,等.上海干霾与湿霾气溶胶消光特性的比较[J].兰州大学学报:自然科学版,2013,49(4):497-503.
[19] 黄思源,王界,全彩峰.2015年宁波地区两次灰霾天气过程气溶胶垂直分布特征分析[J].气象与环境学报,2017,33(3)45-51.
[20] 马骁骏,耿福海,陈勇航,等.上海地区不同类和不同强度灰霾季节分布特征[J].环境科学与技术,2013,36(3):32-36.
[21] 刘琼,耿福海,陈勇航,等.上海不同强度干霾期间气溶胶垂直分布特征[J].中国环境科学,2012,32(2):207-213.
[22] 中国气象局.QX/T 113-2010,霾的观测和预报等级[S].北京:气象出版社,2010:1-20.
[23] 俞科爱,胡晓,黄旋旋,等.宁波区域霾过程的天气分型及环流场特征[J].气象,2015,41(12):1514-1524.
[24] 李小飞,张明军,王圣杰,等.中国空气污染指数变化特征及影响因素分析[J].环境科学,2012,33(6):1936-1943.
[25] 姚剑,王广华,林俊,等.上海市大气颗粒物与能见度的关系[J].气象与环境学报,2010,26(4):17-21.
[26] 王苑,耿福海,陈勇航,等.基于微脉冲激光雷达的上海浦东地区不同强度霾研究[J].中国环境科学,2013,33(1):21-29.
[27] 杨武,罗秋红,李晓娜,等.2006-2008年秋季广州市重大气污染过程特征研究[J].热带气象学报,2012,28(1):123-133.
[28] 王郁,侯青.2000-2010年北京空气持续污染特征研究[J].高原气象,2012,31(6):1675-1681.
[29] 宋明,韩素芹,张敏,等.天津大气能见度与相对湿度和PM₁₀及PM_2.5的关系[J].气象与环境学报,2013,29(2):34-41.

Seasonal characteristics of haze events with different intensity in Ningbo area

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