Pollution characteristics of carbonaceous aerosols in PM2.5 during winter in Lanzhou

doi:10.7523/j.issn.2095-6134.2014.03.021

Abstract

Abstract:

For studying the concentration characteristics and sources of carbonaceous aerosols during winter in Lanzhou, daily PM_2.5 samples were collected during the period from 5 Dec to 12 Dec in 2011. Elemental carbon(EC) and organic carbon(OC) were measured by the thermal/optical method using DRI-2001A. The results indicated that the average mass concentrations of EC and OC were 7.48 and 22.71 μg/m³, respectively, during winter in Lanzhou.Snow had significant effect on the ambient concentrations of EC and OC. The correlation coefficient between EC and OC was 0.98,which revealed that the emission sources of carbonaceous aerosol were relatively simple during winter in Lanzhou and EC and OC had the same sources. Mass concentration of SOC was 3.26 μg/m³, and it was only 14.4% of the concentration of OC in PM_2.5. Factor analysis on the eight carbon fractions of carbonaceous aerosol indicated that coal combustion and vehicle emissions were the major sources for carbonaceous aerosol in PM_2.5.

Key words: PM_2.5, OC, EC, SOC, factor analysis

CLC Number:

X513

LI Gang, SHI Guangyu, LI Hongyu, DENG Zuqin. Pollution characteristics of carbonaceous aerosols in PM_2.5 during winter in Lanzhou[J]. , 2014, 31(3): 439-443.

References

[1] Muyzer G, Waal E C, Uiterlinden A G. Profiling of complex microbial populations by denaturing gradient gel electrophoresis analysis of polymerase chain reaction-amplified gene coding for 16SrRNA[J]. Applied and Environmental Microbiology, 1993, 59(3):695-700.

[2] Duan F K,He K B,Ma Y L, et al. Characteristics of carbonaceous aerosols in Beijing, China[J].Chemosphere, 2005, 60:355-364.

[3] Cao J J, Lee S C, Ho K F, et al. Spatial and seasonal variations of atmospheric organic carbon and elemental carbon in Pearl River Delta Region, China[J]. Atmos Environ, 2004, 38:4447-4456.

[4] Na K, Sawant A A, Song C, et al. Primary and secondary carbonaceous species in the atmosphere of Western Riverside County, California[J]. Atmos Environ, 2004, 38: 1345-1355.

[5] Zhang L,Zhang L,Zhang D L, et al. Property of black carbon concentration over outskirts of Lanzhou, Northwest China[J]. China Environmental Science, 2011,31(8):1248-1255 (in Chinese). 张磊,张镭,张丁玲,等. 兰州远郊区黑碳气溶胶浓度特征[J].中国环境科学,2011,31(8):1248-1255.

[6] 黄虹,李顺诚,曹军骥,等. 气溶胶有机碳元素碳基本特征研究的前沿动态[J],环境科学与技术,2005,28(3):112-114.

[7] Li J J,Shen Z X,Tong Z,et al. Day-night variation of carbonaceous aerosols in PM₁₀ during winter and spring over Xi'an[J]. Environmental Science, 2009,30(5):1506-1513(in Chinese). 李建军,沈振兴,同帜,等. 西安冬春季PM₁₀中碳气溶胶的昼夜变化特征[J].环境科学,2009,30(5):1506-1513.

[8] Li X R,Wang Y F,Guo X Q,et al. Size distribution and characterization of EC and OC in aerosols during the Olympics of Beijing, China[J]. Environmental Science, 2011,32(2):313-318 (in Chinese). 李杏茹,王英峰,郭雪清,等. 2008年奥运期间北京不同粒径大气颗粒物中元素碳和有机碳的变化特征[J].环境科学,2011,32(2):313-318

[9] Ding C. Study on the pollution characters of PM_2.5 and carbon aerosol in Xi'an based on the high resolution data. Xi'an: Xi'an University of Architecture and Technology, 2012:1-65(in Chinese). 丁超.基于高分辨率观测数据对西安市PM_(2.5)及其碳气溶胶的污染特性研究.西安:西安建筑科技大学,2012:1-65.

[10] Turpin B J, Cary R A, Huntzicker J J, et al. Time-resolved analyzed for aerosol organic and elemental carbon[J]. Aerosol Science Technology, 1990, 12: 161-171.

[11] Schauer J J, Kleeman M J, Cass G R, et al. Measurement of emission from air pollution sources 2 C1 through C30 organic compounds from medium duty diesel trucks[J]. Environmental Science and Technology, 1999, 33: 1578-1180.

[12] Schauer J J, Kleeman M J, Cass G R, et al. Measurement of emission from air pollution sources 5 C1-C32 organic compounds from gasoline-powered motor vehicle[J]. Environmental Science and Technology, 2002, 36: 1169-1587.

[13] Chen Y J, Zhi G R, Feng Y, et al. Measurement of emission factors for primary carbonaceous particles from residential raw-coal combustion in china[J]. Geophysical Research Letter, 2006, 33: L20815.

[14] Schauer J J, Kleeman M J, Cass G R, et al. Measurement of emission from air pollution sources 3 C1-C29 organic compounds from fireplace combustion of wood[J]. Environmental Science and Technology, 2001, 35:1716-1728.

[15] Chow J C, Watson J G, Lu Z, et al. Descriptive analysis of PM_2.5 and PM₁₀ at regionally representative locations during SJVAQAS/AUSPEX[J]. Atmospheric Environment, 1996, 30(12): 2079-2112.

[16] Castro L M, Pio C A, Harrision R M, et al. Carbonaceous aerosol in urban and rural European atmospheres: Estimation of secondary organic carbon concentrations[J]. Atmospheric Environment, 1999, 33:2771-2781.

[17] Cao J J, Lee S C, Ho K F, et al. Characterization research of roadside fine particulate carbon and its eight fractions in hong kong[J]. aerosol air quality research, 2006, 6(2): 106-122.

Pollution characteristics of carbonaceous aerosols in PM_2.5 during winter in Lanzhou

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	YIN Di, HAN Bing, SUN Jili, ZHAO Liangbo, HONG Wen, HU Yuxin. Calibration method to the impact of antenna scanning on TOPSAR [J]. Journal of University of Chinese Academy of Sciences, 2021, 38(6): 791-799.
[2]	GAO Jin, CUI Wei. Interaction between cell penetrating peptide S4(13) and plasma membranes by molecular dynamics simulations [J]. Journal of University of Chinese Academy of Sciences, 2021, 38(6): 758-771.
[3]	SUN Xiaolei, XIE Zijian, YANG Xiaosong, HU Zhengyi. Effects of biochar application and water saving drip irrigation on phosphorus leaching in farmland fluvo-aquic soil [J]. Journal of University of Chinese Academy of Sciences, 2021, 38(6): 772-781.
[4]	LIN Shiming, ZHANG Yi, WANG Jili, ZHAO Shuang. Analysis and correction of ionospheric dispersion effect in spaceborne bistatic InSAR system [J]. Journal of University of Chinese Academy of Sciences, 2021, 38(6): 809-816.
[5]	SHI Daheng, LIU Ligang, ZHOU Bin, BU Zhiyong. Fingerprinting localization of cross-temporal transferred and multi-source wireless signal fusion [J]. Journal of University of Chinese Academy of Sciences, 2021, 38(6): 817-824.
[6]	ZHAO Peng, ZHAO Wenzhao, XIA Yangfeng, LIU Long, ZHANG Yanqiang. Synthesis and characterization of cyclopentyl methyl ketazine [J]. Journal of University of Chinese Academy of Sciences, 2021, 38(5): 583-589.
[7]	LI Jing, MA Tianxiao, LU Yanru, SONG Xianfeng, LI Runkui, LIU Junzhi, DUAN Zheng. Multi-objective calibration and evaluation of SWAT modela case study in Meichuan River basin [J]. Journal of University of Chinese Academy of Sciences, 2021, 38(5): 590-600.
[8]	LU Xiaolin, ZHANG Wanchang, NIU Quanfu, LIU Jinping, CHEN Hao, GAO Huiran. Spatio-temporal dynamics of snow cover in Amur River basin and its relationship with climate factors [J]. Journal of University of Chinese Academy of Sciences, 2021, 38(5): 601-610.
[9]	WANG Xiaohui, HU Yuxin, LÜ Peng. Multiple moving ships detection method based on saliency map fusion for GF-4 satellite remote sensing image [J]. Journal of University of Chinese Academy of Sciences, 2021, 38(5): 649-659.
[10]	WANG Jing, CHEN Lan, ZHANG He, WANG Haiyong. Multi-resource scheduling algorithm based on EDA simulation software [J]. Journal of University of Chinese Academy of Sciences, 2021, 38(5): 696-701.
[11]	DAI Zhiming, ZHOU Mingtuo, YANG Yang, LI Jian, LIU Jun. Fog computing resource scheduling in intelligent factories [J]. Journal of University of Chinese Academy of Sciences, 2021, 38(5): 702-711.
[12]	WANG Binlong, Lü Xiaorui, ZHENG Yangheng. Collins effect at super tau-charm facility [J]. Journal of University of Chinese Academy of Sciences, 2021, 38(4): 433-441.
[13]	ZHAN Lindi, ZHONG Zhiping, XU Litong, XI Tingting, HAO Zuoqiang. Co-propagation of femtosecond vortex beam and the generated third harmonic in air [J]. Journal of University of Chinese Academy of Sciences, 2021, 38(4): 450-458.
[14]	LEI Tianyang, MENG Xu, WANG Zenghui, NI Mingjiu. Experimental study of flow pattern and heat transfer of liquid metal in microchannel under the magnetic field [J]. Journal of University of Chinese Academy of Sciences, 2021, 38(4): 459-466.
[15]	YAN Tao, ZHANG Xiaoping, ZHAO Yanyan. Spatiotemporal evolution of urban eco-efficiency in China and its influencing factors based on super-efficiency SBM model [J]. Journal of University of Chinese Academy of Sciences, 2021, 38(4): 486-493.