兰州西固区PM2.5和烷醇类分布特征及其与气象因素相关性分析

兰州理工大学学报 ›› 2021, Vol. 47 ›› Issue (2): 65-71.

兰州西固区PM_2.5和烷醇类分布特征及其与气象因素相关性分析

张国祯^*, 李丹丹, 岳永丽, 刘鹏飞

甘肃省环境监测中心站, 甘肃兰州 730020

收稿日期:2020-10-14 出版日期:2021-04-28 发布日期:2021-05-11
通讯作者: 张国祯(1982-),男,甘肃靖远人,副高级工程师.Email:527935846@qq.com
基金资助:
甘肃省科技厅重点研发计划-社会发展类(18YF1FA033)

The distribution characteristics of PM_2.5, alkanol and their correlation with meteorological factors in Xigu district of Lanzhou

ZHANG Guo-zhen, LI Dan-dan, YUE Yong-li, LIU Peng-fei

Gansu Province Environmental Monitoring Center, Lanzhou 730020, China

Received:2020-10-14 Online:2021-04-28 Published:2021-05-11

摘要/Abstract

摘要： 采集2019年兰州市西固区细颗粒物监测数据,用气相色谱-质谱联用仪(GC-MS)对PM_2.5中的有机组分进行定性和定量分析,着重探讨PM_2.5与烷醇类的分布特征.同时收集同期近地面气象观测数据,采用相关性(Pearson)与非参数分析(Spearman)方法,研究PM_2.5和烷醇类与气象因素之间的关系并比较Pearson和Spearman两种方法的适用性.结果表明:2019年兰州市西固区PM_2.5年平均浓度为51 μg/m³,是我国环境空气质量年平均二级标准(35 μg/m³)的1.5倍,其中烷醇类占比达0.3%,PM_2.5和烷醇类均呈现明显的季节性规律,均为冬季＞春季＞秋季＞夏季.Pearson和Spearman对温度和相对湿度的分析结果一致,对风速的计算结果在显著性水平方面稍有差别,对大气压统计结果有明显差异.

关键词: PM_2.5, 烷醇类, 分布特征, 气象因素, 相关性, 非参数分析法

Abstract: The PM_2.5 data of Xigu district of Lanzhou in 2019 were collected, and the organic components in PM_2.5 were analyzed qualitatively and quantitatively by gas chromatography-mass spectrometry (GC-MS). The distribution characteristics of PM_2.5 and alkanol were mainly discussed. Relationship between PM_2.5 and alkanols distribution and meteorological parameters was assessed by correlation (Pearson) and non-parametric analysis (Spearman) methods, and the applicability of the two methods was compared simultaneously. The results showed that the annual mean concentration of PM_2.5 in 2019 was 51 μg/m³, which was 1.5 times of China’saverage annual air quality standards (Grade Ⅱ,35 μg/m³ ) in which the alkanols in PM_2.5 was accounting for 0.3%. For seasonal trends, both PM_2.5 and alkanols were all decreased in the order of winter>spring>autumn>summer. Pearson and Spearman’s analysis of temperature and relative humidity were consistent, while their calculation results of wind speed were slightly different in terms of significance level, and the statistical results of atmospheric pressure were significantly different.

Key words: PM_2.5, alkanols, distribution characteristics, meteorological factors, correlation, non-parametric

中图分类号:

X513

张国祯, 李丹丹, 岳永丽, 刘鹏飞. 兰州西固区PM_2.5和烷醇类分布特征及其与气象因素相关性分析[J]. 兰州理工大学学报, 2021, 47(2): 65-71.

ZHANG Guo-zhen, LI Dan-dan, YUE Yong-li, LIU Peng-fei. The distribution characteristics of PM_2.5, alkanol and their correlation with meteorological factors in Xigu district of Lanzhou[J]. Journal of Lanzhou University of Technology, 2021, 47(2): 65-71.

参考文献

[1] CHEN J,QIU S S,SHANG J,et al.Impact of relative humidity and water soluble constituents of PM_2.5 on visibility impairment in Beijing,China[J].Aerosol and Air Quality Research,2014,14(1):260-268.
[2] GAO Y,GUO X Y,JI H B,et al.Potential threat of heavy metals and PAHs in PM_2.5 in different urban functional areas of Beijing[J].Atmospheric Research,2016,178/179:6-16.
[3] RAASCHOU-NIELSEN O,BEELEN R,WANG M,et al.Particulate matter air pollution components and risk for lung cancer[J].Environment International,2016,87:66-73.
[4] ZHAO J Z,BO L,GONG C Y,et al.Preliminary study to explore gene-PM_2.5 interactive effects on respiratory system in traffic policemen[J].International Journal of Occupational Medicine and Environmental Health,2015,28(6):971-983.
[5] EVA T,HO W C,LIN M H,et al.Chronic exposure to particulate matter and risk of cardiovascular mortality:cohort study from Taiwan[J].BMC Public Health,2015,15:9361-9369.
[6] 环境保护部.环境空气质量标准:GB 3095—2012[S].北京:中国环境科学出版社,2012.
[7] US EPA.National ambient air quality standards for particulate matter[J].Federal Register,2006,71(10):2620-2708.
[8] WHO.Air quality guidelines for particulate matter,Ozone,nitrogen dioxide and sulfur dioxide[J].World Health Organization,2006,2(1):1-20.
[9] WANG S,YU R,SHEN H,et al.Chemical characteristics,sources,and formation mechanisms of PM_2.5 before and during the Spring Festival in a coastal city in Southeast China[J].Environmental Pollution,2019,251:442-452.
[10] MANOUSAKAS M,PAPAEFTHYMOIU H,DIAPOULI E,et al.Assessment of PM_2.5 sources and their corresponding level of uncertainty in a coastal urban area using EPA PMF 5.0 enhanced diagnostics[J].Science of the Total Environment,2017,574:155-164.
[11] 王亚男.兰州市大气细颗粒物PM_2.5的化学组成及来源分析[D].兰州:兰州大学,2017.
[12] 刘刚,李久海,徐慧,等.麦秸烟尘中正构脂肪醇和正构烯烃的化学组成[J].中国环境科学,2014,34(6):1420-1428.
[13] CÁTIA G,CÉLIA A,ANA P F,et al.Organic compounds in PM_2.5 emitted from fireplace and woodstove combustion of typical Portuguese wood species[J].Atmospheric Environment,2011,45(27):4533-4545.
[14] SIMONEIT B R T,SHENG G Y,CHEN X J,et al.Molecular marker study of extractable organic matter in aerosols from urban areas of China[J].Atmospheric Environment Ronment,1991,25(10):2111-2129.
[15] 于国光,王铁冠,吴大鹏,等.北京市大气气溶胶中含氧有机化合物的研究[J].环境科学与技术,2007,30(8):29-32.
[16] SIMONEIT B R T,MAZUREK M A.Organic matter of the troposphere-II Natural background of biogenic lipid matter in aerosols over the rural western United States[J].Atmospheric Environment,1982,16(9):2139-2159.
[17] 余文洋.武汉市典型地区PM_2.5中含氧有机物的分布特征及来源解析[D].武汉:武汉理工大学,2015.
[18] 段毅,彭林,马兰花,等.兰州市大气飘尘的有机地球化学研究-Ⅱ°酮和醇酯类化合物的组成和分布特征[J].沉积学报,1999,17(1):156-160.
[19] ZHANG Y,HUANG W,CAI T Q,et al.Concentrations and chemical compositions of fine particles (PM_2.5) during haze and non-haze days in Beijing[J].Atmospheric Research,2016,174/175:62-69.
[20] 张利田,卜庆杰,杨桂华.环境科学领域学术论文中常用数理统计方法的正确使用问题[J].环境科学学报,2007,27(1):171-173.
[21] JAN H,TOMASZ K.Comparison of values of Pearson’s and Spearman’s correlation coefficients on the same sets of data[J].Quaestiones Geographicae,2011,30(2):87-93.
[22] 陈锦超,董雪玲,张婉,等.北京市霾天PM_2.5污染特征及其与气象因素的关系[J].环境科学与技术,2018,41(8):87-94.
[23] 王嫣然,张学霞,赵静瑶,等.北京地区不同季节PM_2.5和PM₁₀浓度对地面气象因素的响应[J].中国环境监测,2017,33(2):34-41.
[24] TAO M H,CHEN L F,SU L,et al.Satellite observation of regional haze pollution over the North China Plain[J].Journal of Geophysical Research:Atmospheres,2012,117:D12203.
[25] 马敏劲,谭子渊,陈玥,等.近15 a兰州市空气质量变化特征及沙尘天气影响[J].兰州大学学报(自然科学版),2019,55(1):33-41.
[26] 葛跃,王明新,孙向武,等.基于增强回归树的城市PM_2.5日均值变化分析:以常州为例[J].环境科学学报,2017,38(2):485-494.
[27] 魏玉香,童尧青,银燕,等.南京SO₂、NO₂和PM₁₀变化特征及其与气象条件的关系[J].大气科学学报,2009,32 (3):451-457.
[28] 黄善斌.关于PM_2.5与气象条件关系及其预报研究[D].济南:齐鲁工业大学,2017.
[29] SHEN R,SCHÄFER K,SCHNELLE-KREIS J.Characteristics and sources of PM in seasonal perspective a case study from one year continuously sampling in Beijing[J].Atmospheric Pollution Research,2016,7(2):235-248.