黑龙江省龙凤山区域大气本底站气溶胶光学特征分析

doi:10.3969/j.issn.1673-503X.2022.05.005

Abstract

Abstract:

Based on the long-term observation data of aerosol optical properties at Longfengshan regional background station in Heilongjiang province from 2010 to 2020, the variation of aerosol optical depth, Angström exponent, single scattering albedo, particle volume size distribution, and aerosol direct radiative effect were analyzed.The results show that the maximum aerosol optical depth in the background area appears in July, with an average value of 0.67.The smaller values occur in December, January, and February, with an average value of 0.17, 0.02, and 0.18, respectively.The daily aerosol optical depth reaches the highest value of 0.39 at 17:00. The Angström exponent decreases significantly in April and May, with an average value of 1.20 and 1.21, respectively.The Angström exponent reaches the largest value in December, with an average value of 1.74.The low value of single scattering albedo (SSA) occurs in April, August, and October, with the average values of 0.84, 0.82, and 0.84, respectively.The peak Angström exponent reaches 1.44 at noon.The maximum volume of coarse mode particles appears in May, which is about 0.04 μm³·μm^-2, and the effective radius is about 3.85 μm.The maximum volume of fine mode particles is 0.06 μm³·μm^-2 with an effective radius of 0.19 μm appeared in July.In autumn and winter, the volume of fine and coarse mode particles further decreases in Longfengshan.The maximum values of aerosol direct radiative effect at the ground and on the top of the atmosphere appear in July with values of -94.44 W·m^-2 and -22.33 W·m^-2, respectively.

Key words: Aerosol, Optical properties, Aerosol radiation effect, Volume size distribution

CLC Number:

X513

Peng WANG,Hu-jia ZHAO,Yan-jun MA,Jing-min SUN,Tong-chuan XIE,Jia-geng DAI,Xu-li HOU,Ming-jia LV. Analysis of aerosol optical characteristics of Longfengshan regional background station in Heilongjiang province[J]. Journal of Meteorology and Environment, 2022, 38(5): 42-48.

Figures/Tables 8

Fig.1

Fig.2

Fig.3

Fig.4

Fig.5

Fig.6

Fig.7

Fig.8

References 26

1	Hansen J , Sato M , Ruedy R , et al. Global warming in the twenty-first century: an alternative scenario[J]. Proceedings of the National Academy of Sciences of the United States of America, 2000, 97 (18): 9875- 9880. doi: 10.1073/pnas.170278997
2	Charlson R J , Schwartz S E , Hales J M , et al. Climate forcing by anthropogenic aerosols[J]. Science, 1992, 255 (5043): 423- 430. doi: 10.1126/science.255.5043.423
3	Twomey S A , Piepgrass M , Wolfe T L . An assessment of the impact of pollution on global cloud Albedo[J]. Tellus B, 1984, 36B (5): 356- 366. doi: 10.1111/j.1600-0889.1984.tb00254.x
4	Che H Z , Xia X G , Zhao H J , et al. Spatial distribution of aerosol microphysical and optical properties and direct radiative effect from the China aerosol remote sensing network[J]. Atmospheric Chemistry and Physics, 2019, 19 (18): 11843- 11864. doi: 10.5194/acp-19-11843-2019
5	辛金元, 王跃思, 李占清, 等. 中国地区太阳分光辐射观测网的建立与仪器标定[J]. 环境科学, 2006, 27 (9): 1697- 1702. doi: 10.3321/j.issn:0250-3301.2006.09.001
6	王跃思, 辛金元, 李占清, 等. 中国地区大气气溶胶光学厚度与Angstrom参数联网观测(2004-08~2004-12)[J]. 环境科学, 2006, 27 (9): 1703- 1711. doi: 10.3321/j.issn:0250-3301.2006.09.002
7	Che H Z , Zhang X Y , Chen H B , et al. Instrument calibration and aerosol optical depth validation of the China Aerosol Remote Sensing Network[J]. Journal of Geophysical Research: Atmospheres, 2009, 114 (D3): D03206.
8	Li Z Q , Xu H , Li K T , et al. Comprehensive study of optical, physical, chemical, and radiative properties of total columnar atmospheric aerosols over China: An overview of sun-Sky radiometer observation network (SONET) measurements[J]. Bulletin of the American Meteorological Society, 2018, 99 (4): 739- 755. doi: 10.1175/BAMS-D-17-0133.1
9	代玉田, 杨学斌. 2018年冬季鲁西北大气污染特征及影响因子分析[J]. 气象与环境学报, 2021, 37 (4): 40- 47. doi: 10.3969/j.issn.1673-503X.2021.04.006
10	韩余, 周国兵, 陈道劲, 等. 重庆市臭氧污染及其气象因子预报方法对比研究[J]. 气象与环境学报, 2020, 36 (4): 59- 66. doi: 10.3969/j.issn.1673-503X.2020.04.008
11	赵蕾, 吴坤悌, 陈明. 2013—2016年海口市空气质量特征及典型个例污染物来源分析[J]. 气象与环境学报, 2019, 35 (5): 63- 69. doi: 10.3969/j.issn.1673-503X.2019.05.008
12	Che H Z , Xia X G , Zhu J , et al. Aerosol optical properties under the condition of heavy haze over an urban site of Beijing, China[J]. Environmental Science and Pollution Research, 2015, 22 (2): 1043- 1053. doi: 10.1007/s11356-014-3415-5
13	赵胡笳, 马雁军, 王扬锋, 等. 沈阳一次雾霾天气颗粒物浓度及光学特征变化[J]. 中国环境科学, 2015, 35 (5): 1288- 1296. doi: 10.3969/j.issn.1000-6923.2015.05.002
14	Che H Z , Xia X G , Zhu J , et al. Column aerosol optical properties and aerosol radiative forcing during a serious haze-fog month over North China Plain in 2013 based on ground-based sunphotometer measurements[J]. Atmospheric Chemistry and Physics, 2014, 14 (4): 2125- 2138. doi: 10.5194/acp-14-2125-2014
15	孙冉, 王鸿宇, 马骁骏, 等. 上海一次典型雾霾过程中不同天气现象的气溶胶光学特性及转化机制[J]. 环境科学学报, 2017, 37 (3): 814- 823. doi: 10.13671/j.hjkxxb.2016.0265
16	赵秀娟, 蒲维维, 孟伟, 等. 北京地区秋季雾霾天PM_2.5污染与气溶胶光学特征分析[J]. 环境科学, 2013, 34 (2): 416- 423.
17	王静, 牛生杰, 许丹, 等. 南京一次典型雾霾天气气溶胶光学特性[J]. 中国环境科学, 2013, 33 (2): 201- 208. doi: 10.3969/j.issn.1000-6923.2013.02.002
18	巫俊威, 赵胡笳, 杨东, 等. 基于地基观测的成都彭州气溶胶光学特性研究[J]. 气象与环境学报, 2019, 35 (2): 32- 39. doi: 10.3969/j.issn.1673-503X.2019.02.005
19	Che H Z , Yang Z F , Zhang X Y , et al. Study on the aerosol optical properties and their relationship with aerosol chemical compositions over three regional background stations in China[J]. Atmospheric Environment, 2009, 43 (5): 1093- 1099. doi: 10.1016/j.atmosenv.2008.11.010
20	颜鹏, 刘桂清, 周秀骥, 等. 上甸子秋冬季雾霾期间气溶胶光学特性[J]. 应用气象学报, 2010, 21 (3): 257- 265. doi: 10.3969/j.issn.1001-7313.2010.03.001
21	Wang P , Che H Z , Zhang X C , et al. Aerosol optical properties of regional background atmosphere in Northeast China[J]. Atmospheric Environment, 2010, 44 (35): 4404- 4412. doi: 10.1016/j.atmosenv.2010.07.043
22	宋建洋, 郑向东, 程兴宏, 等. 临安与龙凤山辐射数据质量及初步结果比较[J]. 应用气象学报, 2013, 24 (1): 65- 74.
23	于大江, 宋庆利, 孙俊英, 等. 龙凤山大气气溶胶散射特性观测分析[J]. 环境化学, 2021, 40 (3): 765- 771.
24	吴艳玲, 宁尚军, 于大江, 等. 龙凤山区域大气本底站大气二氧化碳(CO₂)浓度变化特征[J]. 环境化学, 2015, 34 (9): 1627- 1632.
25	Gong S L , Zhang X Y , Zhao T L , et al. Characterization of soil dust aerosol in China and its transport and distribution during 2001 ACE-Asia: 2.Model simulation and validation[J]. Journal of Geophysical Research: Atmospheres, 2003, 108 (D9): 4262.
26	Zhao H J , Che H Z , Xia X G , et al. Multiyear ground-based measurements of aerosol optical properties and direct radiative effect over different surface types in northeastern China[J]. Journal of Geophysical Research: Atmospheres, 2018, 123 (24): 13887- 13916.

[1]	Guo-hang YU, Su-ying YANG, Cheng-rong HU, Xuan-xuan LIU, Ya-ru LI, Zhi-yi LONG. Simulation on impacts of aerosol number concentration on physical characteristics of warm clouds during different growth stages [J]. Journal of Meteorology and Environment, 2022, 38(3): 52-64.
[2]	Xiao-yu YAN, Yuan-yuan YANG, Xiao-hui GOU, Jian-jun LIU, Zhan-sheng SU, Bao-guo WU, Xiao-li GONG. Analysis of actinic flux and its influence factors in Yinchuan based on TUV model [J]. Journal of Meteorology and Environment, 2022, 38(3): 127-136.
[3]	Xiao-xiao LI, Hu-jia ZHAO, Yan-jun MA, Xiao-chu LIU, Si-xu LI, Xiao-lan LI, Yang-feng WANG, Ye HONG. Aerosol vertical variations and the origin analysis on a pollution event in Shenyang on March 2021 [J]. Journal of Meteorology and Environment, 2022, 38(2): 46-54.
[4]	Wei GUO, Ling-yun ZHU, Wen-ya WANG, Xing-ai GAO, Peng-wei CHENG, Yue-jun ZHANG. Evaluation of air quality improvement in Taiyuan during Second National Youth Games [J]. Journal of Meteorology and Environment, 2021, 37(6): 36-43.
[5]	De-ping ZHOU, Jin-guang ZHANG, Gang CHEN, Cheng-long LI, Ye HONG, Hang SU, Yang-feng WANG. Comparison of two filter collection methods in ice nucleus observation [J]. Journal of Meteorology and Environment, 2021, 37(5): 49-55.
[6]	Jie YU,Yu-peng LI,Li-xin SU,Qi-duo SHAO,Shang-feng LI,Li DING,Zong-ting GAO,Lin-chang AN. Causes of a haze pollution event in Changchun in January of 2019 [J]. Journal of Meteorology and Environment, 2021, 37(2): 56-63.
[7]	Dong-dong WANG, Bin ZHU, Xu-jiang WAN. Impact of indirect effects of sulfate aerosol on winter climate in East China [J]. Journal of Meteorology and Environment, 2020, 36(5): 52-61.
[8]	Xing-xing GAO, Hai-lin GUI, Yan CHEN, Lei ZHANG, Wu ZHANG. Spatiotemporal characteristics of aerosols and its effects on cloud and precipitation during summer over typical regions in China [J]. Journal of Meteorology and Environment, 2020, 36(1): 11-20.
[9]	WU Jun-wei, ZHAO Hu-jia, YANG Dong, WEI Yao. Ground-based observation of aerosol optical properties in Pengzhou,Chengdu [J]. Journal of Meteorology and Environment, 2019, 35(2): 32-39.
[10]	GUO Qu, LI Rui, RUAN Ding-lun, ZHANG Tian-yn. Climatic variation of winter fog and its causes in Chongqing area [J]. Journal of Meteorology and Environment, 2018, 34(5): 47-56.
[11]	ZHU Yi-meng, GUO Zhen-dong. The study on impact of air humidifier on indoor air quality [J]. Journal of Meteorology and Environment, 2018, 34(5): 163-168.
[12]	LI Hong-bin, FU Yu, ZHANG Jing-xuan, ZHAO Fan-sheng, GAI Xiao-bo, HE Yang. Simulation and analysis of air pollution and its directing effect to operation of precipitation/snow enhancement during winter over Dalian city [J]. Journal of Meteorology and Environment, 2017, 33(5): 10-16.
[13]	HUANG Si-yuan, WANG Jie, QUAN Cai-feng. Vertical distributions of aerosol during two haze events in 2015 over Ningbo,Zhejiang province [J]. Journal of Meteorology and Environment, 2017, 33(3): 45-51.
[14]	YANG Peng, CHEN Jing, GAO Qi, ZHI Li-hui, ZHAO Li-ping, CUI Sheng-cheng. Retrievals of aerosol optical depths and their spatial distributions over Jing-Jin-Ji region [J]. Journal of Meteorology and Environment, 2017, 33(3): 52-58.
[15]	GUO Xiao-mei,CHEN Juan,ZHAO Tian-liang,ZHENG Xiao-bo. Climate characteristics of haze and its impacting factors from 1961 to 2010 in Sichuan basin [J]. Journal of Meteorology and Environment, 2014, 30(6): 100-107.

Analysis of aerosol optical characteristics of Longfengshan regional background station in Heilongjiang province

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 8

References 26

Related Articles 15

Metrics

Comments

Recommended 10