辽宁本溪大气颗粒物浓度特征
Atmospheric particle concentration characteristics in Benxi, Liaoning
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摘要: 利用本溪大气成分监测站2008年3月至2009年2月大气颗粒物监测仪GRIMM180的连续监测资料,对该地区大气颗粒物的质量浓度变化、谱分布特征以及大气颗粒物与气象因素的关系进行分析研究.结果表明,本溪PM10和PM2.5平均质量浓度分别为0.086 mg·m-3和0.058 mg·m-3,其日平均质量浓度变化幅度较大;冬季和夏季质量浓度日变化均呈现明显的双峰双谷特征;数浓度谱分布较好地符合Junge分布;PM10日平均值超标率为8.7%,且大气颗粒物主要是以细粒子的形式存在;随风速的增大大气颗粒物质量浓度基本呈现逐渐减小的趋势,当风速>0.6 m·s-1时,大气颗粒物质量浓度随风速增大下降明显,风速>3.0 m·s-1时,下降的趋势减缓;降水过程对大气颗粒物有清除作用,其中对粗粒子的清除效果非常明显.Abstract: The variations of atmospheric particle mass concentration, size distribution and their relationships with weather conditions have been studied using the data during the period from March 2008 to February 2009 obtained at the air component monitoring station of Benxi. The results show that the mean mass concentration of PM10 and PM2.5 are respectively 0.086 mg穖-3 and 0.058 mg穖-3, and their daily average concentrations have a large variation range. Daily variation of mass concentration was characterized by a clear double-peak and double bottom pattern in winter and summer. The particle size distribution agrees well with Junge distribution. About 8.7% PM10 daily average concentrations exceeded the National Air Quality Standard, and atmospheric particles exist mainly in the form of fine particles. When the wind speed was higher than 0.6 m穝-1, there was an obvious dilution effect on particle mass concentration. And when higher than 3.0 m穝-1, the relevance is not highly apparent. Precipitation had a scavenging effect on atmospheric particles and the scavenging effect is more apparent to the coarse particles.
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Key words:
- Benxi /
- atmospheric particles /
- concentration /
- spectrum distribution
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[1] Jacobson M Z. Strong radioactive heating due to the mixing-state of black carbonization morphemic aerosols[J]. Nature,2001,409(6821):695-697 [2] 唐孝炎,张远航,邵敏.大气环境化学[M].北京:高等教育出版社,2006:268 [3] Hinz K P, Trimborn A, Weingartner E, et al. Aerosol single particle composition at the Jungfraujoch[J]. Aerosol Science, 2005,36(1):123-145 [4] Ostro B D, Eskeland G S, Sanchez J M, et al. Air pollution and health effects: A study of medical visits among children in Santiago[J]. Environment Health Prospect,1999,107(1):69-73 [5] 腾恩江,胡伟,吴国平,等.中国四城市空气中粗细颗粒物元素组成特征[J].中国环境科学,1999,19(3):238-242 [6] Chan Y C, Simpson R C, Ctainsh G H,et al. Source apportionment of visibility degradation problems in Brisbane(Australia) using the multiple linear regression techniques[J]. Atmos Environ,1999,33(19):3237-3250 [7] Whitby K T. The physical characteristics of sulfur aerosols[J]. Atmos Environ,1978,12(1):135-159 [8] Buzorius G, Hameri K,Pekkanen J,et al. Spatial variation of aerosol number concentration in Helsiki city[J]. Atmos Environ,1999,33(4):553-565 [9] 李学彬,韩永,徐青山,等.厦门地区大气气溶胶变化特征分析[J].大气与环境光学学报,2006,1(3):161-165 [10] 王鑫,奚晓霞,郭治龙,等.2002年兰州市春季大气气溶胶特征分析[J].兰州大学学报(自然科学版),2006,42(3 ):44-47
[11] 朱彬,马力,杨军,等.重庆冬季大气气溶胶的物理、化学特征[J].南京气象学院学报,2006,29(5):662-668 [12] 王振海,张武,史晋森,等.半干旱地区大气颗粒物浓度及粒径谱特征的观测研究[J].中国沙漠,2010,30(5):1186-1193 [13] 王广华,林俊,姚剑,等.上海市郊春节期间大气颗粒物及其组分的粒径分布[J].环境化学,2011,30(5):913-919 [14] 梁元凤,刘从容.沈阳市环境空气中可吸入颗粒物污染现状分析[J].环境保护科学, 2003,29(2):627 [15] 严文莲,周德平,王扬锋,等.沈阳冬夏季可吸入颗粒物浓度及尺度谱分布特征[J].应用气象学报,2008,19(4):435-443 [16] 王绪鑫,王冀,向旬,等.鞍山大气颗粒物浓度的变化特征[J].环境科学研究,2009,29(6):656-662 [17] 陈金荣,周文贤,安强.南京冬季大气气溶胶的物理特征[J].南京气象学院学报,1996,19(3):374-378 [18] 桑建人,杨有林.银川市初夏气溶胶粒子谱分布特征[J].中国沙漠,2003,23(3):328-330 [19] 赵德山.城市大气污染总量控制典型范例[M].北京:中国环境科学出版社,1993:40-48 [20] 刘宁微,马雁军,王扬锋,等.丹东市大气颗粒物质量浓度变化特征及其与能见度的关系[J].环境科学研究,2010,23(5):642-646 [21] 魏复盛,藤恩江,吴国平,等.我国4个大城市空气PM2.5,PM10污染及其化学组成[J].中国环境监测,2001,17(增刊):1-6 [22] 杨复沫,贺克斌,马永亮,等.北京PM2.5浓度的变化特征及其与PM10,TSP 的关系[J].中国环境科学,2002,22(6):506-510 [23] 刘宇,王式功,尚可政,等.兰州市低空风时空变化特征及其与空气污染的关系[J].高原气象,2002,21(3):322-326 -
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