新型垂直探测资料在污染天气分析中的应用

摘要
图/表
参考文献(42)
相关文章 (15)

全文: PDF (3807 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要

针对2017年1月上旬广州地区出现的一次持续时间长的重污染天气过程，基于地面观测资料、激光雷达、风廓线雷达和微波辐射计数据，从水平和垂直扩散条件2个方面分析了此次污染过程的形成和维持的原因.结果表明：（1）本次污染过程期间，广州地区地面风速基本为小于2m/s的偏北风，在300m高度以下普遍存在平均水平风速低于2.6m/s的小风层；污染前期640m高度内的各层回流指数廓线小于0.6，100m高度小于0.4，污染缓解后回流指数高于0.7.（2）地面PM_2.5浓度与逆温强度的相关系数为0.42，过程平均逆温厚度167m，平均逆温强度为1.08℃/100m；（3）PM_2.5浓度与边界层高度的相关系数为-0.56，清洁时段的平均边界层高度（876m）约为污染时段（620m）的1.4倍，过程最低边界层高度为267m；PM_2.5浓度与边界层通风量的相关系数为-0.61，清洁时段的平均边界层通风量（2538m²/s）约为污染时段（1136m²/s）的2.2倍，使用边界层通风量能更好表征大气污染的程度.

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	黄俊
	廖碧婷
	王春林
	谭浩波
	沈子琦
	蓝静
	汤静
	岳海燕

关键词 ：激光雷达, 风廓线, 微波辐射计, 大气污染, 广州

Abstract：

A long-lasting air pollution episode was occurred in Guangzhou in early January 2017. Based on the data set of ground observation, Lidar, wind profiler and microwave radiometer, the formation mechanism of this episode was investigated and discussed from two aspects of horizontal and vertical diffusion conditions. The results showed that:(1) During the pollution process, the surface wind speed in Guangzhou area was basically northerly wind and less than 2m/s. A small wind speed layer with an average wind speed less than 2.6m/s was below 300m; The return index profile of each layer within the height of 640m in the pre-pollution period was less than 0.6, and within the 100m height was less than 0.4. (2) The correlation coefficient between surface PM_2.5 mass concentration and inversion temperature was 0.42. The average temperature during the polluted period was 167m, and the average inversion temperature was 1.08℃/100m. (3) The correlation coefficient between PM_2.5 mass concentration and the boundary layer height was -0.56, and the average boundary layer height (876m) during the clean period was approximately 1.4times higher than that of the polluted period (620m). The minimum boundary layer height during the process was 267m. The boundary layer ventilation showed a higher anti-correlation with PM_2.5 concentration (-0.61), and the average boundary layer ventilation volume (2538m²/s) during clean period was 2.2times of the polluted period (1136m²/s), indicating that the boundary layer ventilation can be more useful to characterize the degree of atmospheric pollution.

Key words： lidar wind profiler microwave radiometer air pollution Guangzhou

收稿日期: 2018-05-14

PACS:

X513

基金资助:

国家重点研发计划项目（2016YFC0201901，2016YFC0203305）；广州市产学研协同创新重大专项（201604020028，201704020194）；广东省气象局科技创新团队计划项目（201704）；广东省气象局科研项目（2016Q10，GRMC2017M27）

通讯作者: 谭浩波,研究员,hbtan@grmc.gov.cn E-mail: hbtan@grmc.gov.cn

作者简介: 黄俊(1987-),男,贵州盘州人,工程师,理学学士,主要从事环境气象预报及研究.发表论文10余篇.

引用本文:

黄俊, 廖碧婷, 王春林, 谭浩波, 沈子琦, 蓝静, 汤静, 岳海燕. 新型垂直探测资料在污染天气分析中的应用[J]. 中国环境科学, 2019, 39(1): 92-105. HUANG Jun, LIAO Bi-ting, WANG Chun-lin, Tan Hao-bo, SHEN Zi-qi, LAN Jing, TANG Jing, YUE Hai-yan. Application of new vertical detection data in the analysis of a heavy pollution weather. CHINA ENVIRONMENTAL SCIENCECE, 2019, 39(1): 92-105.

链接本文:

http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2019/V39/I1/92

[1]	范绍佳,王安宇,樊琦,等.珠江三角洲大气边界层特征及其概念模型[J]. 中国环境科学, 2006,26(增刊):4-6. Fan S J, Wang A Y, Fan Q, et al. Atmospheric boundary layer features of Pearl River Delta and its conception model[J]. China Environmental Science, 2006,26(suppl):4-6.
[2]	吴兑,廖国莲,邓雪娇,等.珠江三角洲霾天气的近地层输送条件研究[J]. 应用气象学报, 2008,19(1):1-9. Wu D, Liao G L, Deng X J, et al. Transport condition of surface layer under haze weather over the Pearl River Delta[J]. Journal of Applied Meteorological Science, 2008,19(1):1-9.
[3]	Xu W Y, Zhao C S, Ran L, et al. Characteristics of pollutants and their correlation to meteorological conditions at a suburban site in the North China Plain[J]. Atmospheric Chemistry and Physics, 2011,11(9):4353-4369.
[4]	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. Zhang R H, Li Q, Zhang R N. Analysis of meteorological conditions of persistent heavy fog and haze in eastern China in January 2013[J]. Scientia Sinica Terrae, 2014,44(1):27-36.
[5]	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. Wu M, Luo Y, Wu D, et al. Influence of the structure of vertical wind and temperature in atmospheric boundary layer on air pollution in Foshan area during dry season[J]. Acta Scientiae Circumstantiae, 2017,37(12):4458-4466.
[6]	Holzworth G C. Estimates of mean maximum mixing depths in the contiguous United States[J]. Monthly Weather Review, 1964,92(5):235-242.
[7]	Krautstrunk M, Neumann-Hauf G, Schlager H, et al. An experimental study on the planetary boundary layer transport of air pollutants over East Germany[J]. Atmospheric Environment, 2000,34(8):1247-1266.
[8]	熊超超,谢丽萍,吴维.大气边界层探测技术初步分析[J]. 气象水文海洋仪器, 2010,27(3):77-79. Xiong C C, Xie L P, Wu W. Sounding technology of atmospheric boundary layer[J]. Meteorological Hydrological and Marine Instuments, 2010,27(3):77-79.
[9]	Cohn S A, Angevine W M. Boundary layer height and entrainment zone thickness measured by lidars and wind-profiling radars[J]. J Appl Meteor, 2000,39(8):1233-1247.
[10]	Hennemuth B, Lammert A. Determination of the atmospheric boundary layer height from radiosonde and lidar backscatter[J]. Bound-Layer Meteor, 2006,120(1):181-200.
[11]	Blanco L, Wilczak J M, White A B. Convective boundary layer depth estimation from wind profilers:Statistical comparison between an automated algorithm and expert estimations[J]. Journal of Atmospheric & Oceanic Technology, 2008,25(8):1397.
[12]	邓涛,吴兑,邓雪娇,等.一次严重灰霾过程的气溶胶光线特性垂直分布[J]. 中国环境科学, 2013,33(11):1779-1784. Deng T, Wu D, Deng X J, et al. The vertical distribution of aerosol optical properties in a severe haze event. China Environmental Science, 2013,33(11):1921-1928.
[13]	邓涛,吴兑,邓雪娇,等.广州地区一次严重灰霾过程的垂直探测[J]. 中国科学:地球科学, 2014,44(10):2307-2314. Deng T, Wu D, Deng X J, et al. The vertical detection of a serious haze process in Guangzhou area[J]. Scientia Sinica Terrae, 2014,44(10):2307-2314.
[14]	刘思波,何文英,刘红燕,等.地基微波辐射计探测大气边界层高度方法[J]. 应用气象学报, 2015,26(5):626-635. Liu S B, He W Y, Liu H Y, et al. Retrieval of atmospheric boundary layer height from ground based microwave radiometer measurements[J]. Journal of Applied Meteorological Science, 2015,26(5):626-635.
[15]	王耀庭,苗世光,张小玲.基于激光雷达的北京市气溶胶光学参数季节特征[J]. 中国环境科学, 2016,36(4):970-978. Wang Y T, Miao S G, Zhang X L. Seasonal characteristics of the aerosol optical parameters based on lidar over the Beijing Area[J]. China Environmental Science, 2016,36(4):970-978.
[16]	李浩文,张阿思,步巧利,等.2015年干季佛山一次重空气污染过程形成机理研究[J]. 环境科学学报, 2017,37(8):3044-3053. Li H W, Zhang A S, Bu Q L, et al. Investigation of the formation mechanism of a heavy air pollution episode in the dry season of 2015 in Foshan[J]. Acta Scientiae Circumstantiae, 2017,37(8):3044-3053.
[17]	张舒婷,苏德斌,徐文静,等.利用风廓线雷达资料对北京地区边界层日变化特征的分析研究[J]. 大气与环境光学学报, 2017,12(1):1-7. Zhang S T, Su D B, Xu W J, et al. Analysis and research on daily variation characteristics of boundary layer in beijing area by wind profile radar data[J]. Journal of Atmospheric and Environmental optics, 2017,12(1):1-7.
[18]	花丛,刘超,张恒德.风廓线雷达资料在北京秋季雾霾天气过程分析中的应用[J]. 气象科技, 2017,45(5):870-875. Hua C, Liu C, Zhang H D. Application of wind profile radar in analyzing autumn fog and haze process in Beijing[J]. Meteorological Science and Technology, 2017,45(5):870-875.
[19]	廖碧婷,黄俊,邓雪娇,等.基于微波辐射计分析低能见度的液态含水量特征[J]. 中国环境科学, 2018,38(10):3673-3682. Liao B T, Huang J, Deng X J, et al. Characterization of liquid water content during low visibility based on microwave radiometer data[J]. China Environmental Science, 2018,38(10):3673-3682.
[20]	吕阳,李正强,谢剑锋,等.基于激光雷达扫描观测的散布点污染源监测[J]. 中国环境科学, 2017,37(11):4078-4084. Lü Y, Li Z Q, Xie J F, et al. Monitoring the distributed point pollution sources based on a scanning lidar[J]. China Environmental Science, 2017,37(11):4078-4084.
[21]	高晓荣,谭浩波,邓涛,等.三种激光雷达监测污染物分布和输送对比[J]. 中国环境科学, 2018,38(2):444-454. Gao X R, Tan H B, Deng T, et al. Experimental results comparative analysis of pollutant distribution and transport by different kinds of lidar[J]. china environmental science, 2018,38(2):444-454.
[22]	贺千山,毛节泰.北京城市大气混合层与气溶胶垂直分布观测研究[J]. 气象学报, 2005,63(3):374-384. He Q S, Mao J T. Observation of urban mixed layer at Beijing using a micro pulse lidar[J]. Acta Meteorological Sinica, 2005,63(3):374-384.
[23]	Fernald F G. Analysis of atmospheric lidar observations:some comments[J]. Applied optics, 1984,23(5):652-653.
[24]	王琳,谢晨波,韩永,等.测量大气边界层高度的激光雷达数据反演方法研究[J]. 大气与环境光学学报, 2012,7(4):241-247. Wang L,Xie C B, Han Y, et al. Comparison of retrieval methods of planetary boundary layer height from lidar data[J]. Journal of Atmospheric and Environmental optics, 2012,7(4):241-247.
[25]	Pasch A N, MacDonald C P, Gilliam R C, et al. Meteorological characteristics associated with PM2.5 air pollution in Cleveland, Ohio, during the 2009~2010 Cleveland Multiple Air Pollutants Study[J]. Atmospheric Environment, 2011,45(39):7026-7035.
[26]	Allwine K J, Whiteman C D. Single-station integral measures of atmospheric stagnation, recirculation and ventilation[J]. Atmospheric Environment, 1994,28(4):713-721.
[27]	陈晓阳,冯旭,范绍佳,等.回流指数在空气质量变化研究中的应用[J]. 环境科学学报, 2016,36(3):1032-1041. Chen X Y, Feng X, Fan S J, et al. Application of recirculation index in air quality research[J]. Acta Scientiae Circumstantiae, 2016,36(3):1032-1041.
[28]	吴蒙,吴兑,范绍佳.基于风廓线仪等资料的珠江三角洲污染气象条件研究[J]. 环境科学学报, 2015,35(3):619-626. Wu M, Wu D, Fan S J. Meteorological condition associated with poor air quality over Pearl River Delta based on the data of radar wind profiler[J]. Acta Scientiae Circumstantiae, 2015,35(3):619-626.
[29]	陈训来,冯业荣,范绍佳,等.离岸型背景风和海陆风对珠江三角洲地区灰霾天气的影响[J]. 大气科学, 2008,32(3):530-542. Chen X L, Feng Y R, Fan S J, et al. Effect of the off-shore background flow and Sea-land breezes on haze weather over the Pearl River Delta Region[J]. Chinese Journal of Atmospheric Sciences, 2008,32(3):530-542.
[30]	邱晓暖,范绍佳.海陆风研究进展与我国沿海三地海陆风主要特征[J]. 气象, 2013,39(2):186-193. Qiu X N, Fan S J. Progress of sea land breeze study and the characteristics of sea land breeze in three coastal areas in China[J]. Meteorological Monthly, 2013,39(2):186-193.
[31]	HJ 633-2012环境空气质量指数(AQI)技术规定(试行)[S]. HJ 633-2012 Technical regulation on ambient air quality index (on trial)[S].
[32]	Koschmieder H. Theorie der horizontalen Sichtwcete, Beitr[J]. Physics Atmospheric, 1924,12:33-53.
[33]	Liu L, Tan H, Fan S, et al. Influence of aerosol hygroscopicity and mixing state on aerosol optical properties in the Pearl River Delta region, China[J]. Science of the Total Environment, 2018,627:1560-1571.
[34]	Deng H, Tan H, Li F, et al. Impact of relative humidity on visibility degradation during a haze event:A case study[J]. Science of the Total Environment, 2016,569-570:1149-1158.
[35]	Tan H, Cai M, Fan Q, et al. An analysis of aerosol liquid water content and related impact factors in Pearl River Delta[J]. Science of The Total Environment, 2017,579:1822-1830.
[36]	Cass G R. On the relationship between sulfate air quality and visibility with examples in los angeles[J]. Atmospheric Environment, 1979, 13(8):1069-1084.
[37]	Chow J C, Bachmann J D, Wierman S S G, et al. Visibility:science and regulation[J]. Air Repair, 2002,52(9):973-999.
[38]	林云,孙向明,张小丽,等.深圳市大气能见度与细粒子浓度统计模型[J]. 应用气象学报, 2009,20(2):252-256. Lin Y, Sun X M, Zhang X L, et al. Statistical model of the relationship between atmospheric visibility and PM2.5 in Shenzhen[J]. Journal of Applied Meteorological Science, 2009,20(2):252-256.
[39]	刘建,吴兑,范绍佳.珠江三角洲区域污染分布及其垂直风场特征[J]. 环境科学, 2015,36(11):3989-3998. Liu J, Wu D, Fan S J. Distribution of regional pollution and the characteristics of vertical wind field in the Pearl River Delta[J]. Environmental Science, 2015,36(11):3989-3998.
[40]	张人文,范绍佳.珠江三角洲风场对空气质量的影响[J]. 中山大学学报(自然科学版), 2011,50(6):130-134. Zhang R E, Fan S J. Study of the influence of wind field on air quality over the Pearl River Delta[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2011,50(6):130-134.
[41]	奥银焕,吕世华,陈玉春.河西地区不同下垫面边界层特征分析[J]. 高原气象, 2004,23(2):215-219. Ao Y H, Lü S H, Chen Y C. Characteristic analysis of different terrain PBL in Hexi Region[J]. Plateau Meteorology, 2004,23(2):215-219.
[42]	王强,朱平,王邦中,等.黑河地区夜间低空急流和冷泄流特征分析[J]. 高原气象, 1995,14(3):257-263. Wang Q, Zhu P, Wang B Z, et al. Analysis of the characteristics of the low level jets and the nighttime drainage winds in Heihe Region[J]. Plateau Meteorology, 1995,14(3):257-263.