珠三角地区日最大混合层高度及其对区域空气质量的影响

doi:10.3969/j.issn.1673-503X.2019.05.011

Abstract

Abstract: Atmospheric mixing height is one of the main factors affecting vertical diffusion and plays an important role in the assessment of air quality and the storage and distribution of air pollutants.Based on 4-year (from April 2014 to March 2018) radiosonde measurements at Hong Kong (coastal) and Qingyuan (inland) stations,this study employs the dry adiabatic curve method to estimate the daily maximum mixing height (MMH) in the Pearl River Delta (PRD) region,then discusses the spatial differences of the MMHs in the coastal and inland areas,and finally analyzes the effects of the MMH on regional air pollution.The results show that the atmospheric mixing height has typical local characteristics.Specifically,the MMH in the coastal area is lower than that in the inland area and their average values are 982 m and 1198 m,respectively.The spatial differences of the MMH in the PRD region can be jointly explained by many factors,among which temperature diurnal range plays the most important role.The coastal area features a relatively smaller temperature diurnal range due to the modulation of seawater on air temperature,so the atmospheric mixed layer is relatively lower.Besides,there are great distinctions in the correlation between the air pollutants and the MMH in the PRD region.The primary pollutants (e.g.,CO) are negatively correlated with the MMH,while the secondary pollutants (e.g.,O₃) are positively correlated with the MMH.In contrast,atmospheric particulate matters (e.g.,PM_2.5) are weakly correlated with the MMH likely due to the complexity of their sources (including primary emission and secondary formation).

Key words: Maximum mixing height, Air pollution, Spatial difference, Correlation

CLC Number:

X831
P468

LIAO Zhi-heng, XU Xin-qi, XIE Jie-lan, ZHOU Xue-si, FAN Shao-jia. Daily maximum mixing height and its effects on air quality in the Pearl River Delta region[J]. Journal of Meteorology and Environment, 2019, 35(5): 85-92.

References

[1] Tang G,Zhang J,Zhu X,et al.Mixing layer height and its implications for air pollution over Beijing,China[J].Atmospheric Chemistry & Physics,2016,16(4):2459-2475.
[2] Guo J,Miao Y,Zhang Y,et al.The climatology of planetary boundary layer height in China derived from radiosonde and reanalysis data[J].Atmospheric Chemistry & Physics,2016,16(20):13309-13319.
[3] Zhang W,Guo J,Miao Y,et al.On the summertime planetary boundary layer with different thermodynamic stability in China:A radiosonde perspective[J].Journal of Climate,2018,31(2):1451-1465.
[4] Schäfer K,Emeis S,Hoffmann H,et al.Influence of mixing layer height upon air pollution in urban and sub-urban areas[J].Meteorologische Zeitschrift,2006,15(6):647-658.
[5] Wagner P,Kuttler W.Biogenic and anthropogenic isoprene in the near-surface urban atmosphere:a case study in Essen,Germany[J].Science of the Total Environment,2014,475:104-115.
[6] 徐祥德,丁国安,周丽,等.北京城市冬季大气污染动力-化学过程:区域性三维结构特征[J].科学通报,2003,48(5):496-501.
[7] Fan S,Tesche B,Engelmann R,et al.Meteorological conditions and structures of atmospheric boundary layer in October 2004 over Pearl River Delta area[J].Atmospheric Environment,2008,42(25):6174-6186.
[8] Fan S,Fan Q,Yu W,et al.Atmospheric boundary layer characteristics over the Pearl River Delta,China during summer 2006:measurement and model results[J].Atmospheric Chemistry & Physics,2011,11(2):681-687.
[9] Seidel D,Zhang Y,Beljaars A,et al.Climatology of the planetary boundary layer over the continental United States and Europe[J].Journal of Geophysical Research Atmospheres,2012,117(D17),doi:10.1029/2012JD018143.
[10] Holzworth G.Estimates of mean maximum mixing depths in the contiguous United States[J].Monthly Weather Review,1964,92(5):235-242.
[11] 潘云仙,蒋维楣.我国大陆大气的平均最大混合深度[J].中国环境科学,1982,2(5):51-56.
[12] 吴祖常,董保群.我国陆域大气最大混合层厚度的地理分布与季节变化[J].科技通报,1998,14(3):158-163.
[13] 程水源,席德立,张宝宁,等.大气混合层高度的确定与计算方法研究[J].中国环境科学,1997,17(6):512-516.
[14] 王式功,姜大膀,杨德保,等.兰州市区最大混合层厚度变化特征分析[J].高原气象,2000,19(3):363-370.
[15] 尤焕苓,刘伟东,谭江瑞.北京地区平均最大混合层厚度的时间变化特征[J].气象,2010,36(5):51-55.
[16] 王坚,蔡旭晖,宋宇.北京地区日最大边界层高度的气候统计特征[J].气候与环境研究,2016,21(5):525-532.
[17] 赵克明,李霞,杨静.乌鲁木齐大气最大混合层厚度变化的环境响应[J].干旱区研究,2011,28(3):509-513.
[18] 张红,黄勇,王儒威,等.铜陵市空气污染物浓度与大气混合层高度的关系[J].环境科学与技术,2018,41(2):63-70.
[19] 张莹,贾旭伟,杨旭,等.中国典型代表城市空气污染特征及其与气象参数的关系[J].气象与环境学报,2017,33(2):70-79.
[20] 刘建,范绍佳,吴兑,等.珠江三角洲典型灰霾过程的边界层特征[J].中国环境科学,2015,35(6):1664-1674.
[21] 吴蒙,罗云,吴兑,等.佛山地区干季边界层垂直风温结构对空气质量的影响[J].环境科学学报,2017,37(12):4458-4466.
[22] 祝薇,李浩文,王宝民,等.多遥感设备联用在区域空气质量变化与边界层结构关系研究中的应用[J].环境科学学报,2018,38(5):1689-1698.
[23] Wu M,Wu D,Fan Q,et al.Observational studies of the meteorological characteristics associated with poor air quality over the Pearl River Delta in China[J].Atmospheric Chemistry & Physics,2013,13(21):10755-10766.
[24] 李梦,唐贵谦,黄俊,等.京津冀冬季大气混合层高度与大气污染的关系[J].环境科学,2015,36(6):1935-1943.
[25] Zhu X,Tang G,Guo J,et al.Mixing layer height on the North China Plain and meteorological evidence of serious air pollution in southern Hebei[J].Atmospheric Chemistry & Physics,2018,18:4897-4910.
[26] 廖志恒,孙家仁,范绍佳,等.2006~2012年珠三角地区空气污染变化特征及影响因素[J].中国环境科学,2015,35(2):329-336.
[27] Xu W,Zhao C,Ran L,et al.SO₂ noontime-peak phenomenon in the North China Plain[J].Atmospheric Chemistry & Physics,2014,14(5):7757-7768.
[28] Liao Z,Sun J,Yao J,et al.Self-organized classification of boundary layer meteorology and associated characteristics of air quality in Beijing[J].Atmospheric Chemistry & Physics,2018,18(9):6771-6783.
[29] 王宇骏,黄祖照,张金谱,等.广州城区近地面层大气污染物垂直分布特征[J].环境科学研究,2016,29(6):800-809.
[30] Zhou D,Ding A,Mao H,et al.Impacts of the East Asian monsoon on lower tropospheric ozone over coastal South China[J].Environmental Research Letters,2013,8(4):575-591.
[31] Tang G Q,Zhu X W,Xin J Y,et al.Modelling study of boundary-layer ozone over northern China-Part I:Ozone budget in summer[J].Atmospheric Research,2017,187,128-137.
[32] 陈磊,俞科爱,林宏伟,等.宁波市大气混合层厚度变化特征及其与空气污染的关系[J].气象与环境学报,2017,33(4):40-47.
[33] Huang X F,Zou B B,He L Y,et al.Exploration of PM_2.5 sources on the regional scale in the Pearl River Delta based on ME-2 modeling[J].Atmospheric Chemistry & Physics,2018,18(16):11563-11580.
[34] Wang X,Chen W,Chen D,et al.Long-term trends of fine particulate matter and chemical composition in the Pearl River Delta Economic Zone (PRDEZ),China[J].Frontiers of Environmental Science & Engineering,2016,10:53-62.

Daily maximum mixing height and its effects on air quality in the Pearl River Delta region

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

Recommended 10

[1]	Feng-xiang LONG, Yu-lin ZHANG. Relationship between atmospheric visibility and particulate matter concentration and meteorological parameters in Guilin urban area [J]. Journal of Meteorology and Environment, 2020, 36(1): 21-27.
[2]	Li-ping YANG,Cun-hou ZHANG,Hai-yan DAI,Di-bo LV,Jun HAN. Effects of climate change on phenophase of woody plants at the northern foot of Yinshan Mountain [J]. Journal of Meteorology and Environment, 2020, 36(1): 102-107.
[3]	DING Kang-kang, ZHANG Hao-yu, YANG Hong-bin, WAN Zhi-qiang, LI Li-guang, SUI Ming. Temporal and spatial variation characteristics of frozen soil in Shenyang area from 1959 to 2018 [J]. Journal of Meteorology and Environment, 2019, 35(6): 101-108.
[4]	CHEN Pei-zhang, CHEN Dao-jin. Analysis of ozone pollution characteristics and meteorological factors over Lanzhou city [J]. Journal of Meteorology and Environment, 2019, 35(2): 46-54.
[5]	DONG Zhen-hua, QI Yi-ling, KONG Hai-jiang. Comparison analysis of three heavy pollution events in He'nan province [J]. Journal of Meteorology and Environment, 2019, 35(1): 18-25.
[6]	XIANG Cheng-cheng, CHAI Man. Characteristics of spatiotemporal variation clustering of PM_2.5 and its meteorological influence in cities of Liaoning province [J]. Journal of Meteorology and Environment, 2019, 35(1): 35-44.
[7]	TIAN Lei, PEI Lin, CHEN Yu-gang, XIA Jiang-jiang, WANG Xiang. Climatic data reconstruction of haze days and its temporal-spatial characteristics in Bengbu area from 1970 to 2015 [J]. Journal of Meteorology and Environment, 2018, 34(5): 39-46.
[8]	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.
[9]	SUN Hong-yu, CHENG Pan, CHENG Jia-yue, ZHU Yi-ming, JIA Bin-ying, HUANG Ge, LU Zhong-yan. The relationships between bush fire/burnning area and meteorological factors [J]. Journal of Meteorology and Environment, 2018, 34(5): 128-134.
[10]	REN Jing-quan; GUO Chun-ming; WANG Li-wei; LI Jian-ping; LIU Yu-xi; LI Qi. Spatial and temporal distribution characteristics and impact factors of the frost over Jilin province from 1961 to 2015 [J]. Journal of Meteorology and Environment, 2018, 34(4): 119-125.
[11]	WU Gang-zhe;YAN Jin-zhe; REN Guo-yu; SUONAN Kan-zhuo. Relationship between fractional vegetation and climate factors in spring over the mid-west of DPR Korea [J]. Journal of Meteorology and Environment, 2018, 34(4): 112-118.
[12]	WANG Xiao-li, WANG Tian-ru, YANG Meng, ZHANG Na, LU Dan, XU Tai-an. Temporal and spatial distribution characteristics of surface vapor pressure and their influencing factors in Weifang [J]. Journal of Meteorology and Environment, 2018, 34(3): 78-85.
[13]	LI Chen, GUO Wen-li, WU Jin, JIN Chen-xi. Relationship between daily maximum electric power load and meteorological factors in summer in Beijing [J]. Journal of Meteorology and Environment, 2018, 34(3): 99-105.
[14]	LI Yi-yu, YANG Hong-ru, WANG Nan, LI Jun-xia, YAO Jia-lin. Formation analysis of a severe air pollution event in Taiyuan [J]. Journal of Meteorology and Environment, 2018, 34(2): 11-18.
[15]	LIU Hai-long, ZOU Xu-dong, YANG Hong-bin, ZHANG Yun-hai, WANG Hong-yu, LIU Yu-che. Application study on the atmospheric diffusion model system in Huludao [J]. Journal of Meteorology and Environment, 2018, 34(2): 107-112.