Analysis on Spatio-Temporal Characteristics and Pollution Sources of NO2 in Nanjing Metropolitan Area During 2006~2014

Abstract

Abstract:

The spatio-temporal characteristics and pollution sources of NO2 in Nanjing metropolitan area are analyzed by using cosine curve function and HYSPLIT model of back trajectory analysis, on the basis of NO2 column densities data of the Ozone Monitoring Instrument (OMI) from January 2006 to December 2014 and land use type data. The results indicate that tropospheric NO2 column densities in study area increased distinctly year by year from 2006 to 2014 and showed obvious seasonal variation, i.e. highest in winter while lowest in summer. There are mainly two aspects of tropospheric NO2 contaminant sources in study area. The one is the effect of atmospheric transport affecting the seasonal variation of NO2, and the other is that different land use types have great impact on column density of NO2.

Key words: Ozone Monitoring Instrument, tropospheric NO2, HYSPLIT model, temporal and spatial variation

CLC Number:

TP79

GAO Yi-Bo, ZHANG Xin, TAO Sheng-Rong, XU Dan-Dan, ZHANG Hong-Hai, MA Jin-Ji. Analysis on Spatio-Temporal Characteristics and Pollution Sources of NO2 in Nanjing Metropolitan Area During 2006~2014[J]. Journal of Atmospheric and Environmental Optics, 2016, 11(3): 182-190.

References

[1] Ji Fei, Su Wenying, Qin Yu. A study of the gas-to-particle conversion in photochemical process [J]. Chinese Journal of Atmospheric Sciences, 2001, 25(2): 269-276(in Chinese).
纪飞, 苏文颍, 秦瑜. 对流层光化学过程中的气粒转化研究 [J]. 大气科学, 2001, 25(2): 269-276.
[2] Pickering K. Exploration of OMI products for air quality applications through comparisons with models and observations [J]. Geophys. Res. Abs., 2006: 02422.
[3] Ding Yuyu, Peng Li, Ran Liang, et al. A method of inferring ground level NO2 using satellite-borne OMI observations [J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2011, 47(4): 671-676(in Chinese).
丁宇宇, 彭丽, 冉靓, 等. 利用OMI卫星资料计算NO2地面浓度的方法研究 [J]. 北京大学学报(自然科学版), 2011, 47(4): 671-676.
[4] Boersma K F, Jacob D J, Trainic M, et al. Validationof urban NO2 concentrations and their diurnal and seasonal variations observed from space(SCIAMACHY and OMI sensors) using in situ measurements in Israeli cities [J]. Atmos. Chem. Phys. Discuss, 2009, 9(1): 4301-4333.
[5] Boersma K F, Eskes H J, Veefkind J P, et al. Near-real time retrieval of tropospheric NO2 from OMI [J]. Atmos. Chem. Phys., 2007, 7(8): 2103-2118.
[6] Zhang Yanjun, Niu Zheng, Wang Li, et al. Study on tropospheric NO2 change trend in cities using OMI satellite data [J]. Geography and Geo-Information Science, 2008, 24(3): 96-99(in Chinese).
张彦军，牛铮，王力等. 基于OMI卫星数据的城市对流层NO2变化趋势研究 [J]．地理与地理信息科学, 2008, 24(3): 96-99.
[7] Li Long, Shi Runhe, Chen Yuanyuan, et al. Spatio-temporal characteristics of NO2 in China and the anthropogenic influences analysis based on OMI data [J]. Journal of Geo-Information Science, 2013, 15(5): 688-694(in Chinese).
李龙, 施润和, 陈圆圆, 等. 基于OMI数据的中国NO2时空分布与人类影响分析 [J]. 地球信息科学学报, 2013, 15(5): 688-694.
[8] Cheng Miaomiao, Jiang Hong, Chen Jian, et al. Characters of the OMI NO2 column densities over different ecosystems in Zhejiang Province during 2005-2009 [J]. Acta Ecologica Sinica, 2011, 31(5): 1249-1259(in Chinese).
程苗苗, 江洪, 陈健, 等. 2005-2009年浙江省不同土地类型上空对流层NO2变化特征 [J]. 生态学报, 2011, 31(5): 1249-1259.
[9] Levelt P F, Van Den Oord G H J, Dobber M R, et al. The ozone monitoring instrument [J]. Trans. Geosci. Remote Sens., 2006, 44(5): 1093-1101.
[10] Weatherhead E C, Reinsel G C, Tiao G C, et al. Factors affecting the detection of trends: statistical considerations and applications to environmental data [J]. J. Geophys. Res., 1998, 103(D14): 17149-17161.
[11] Wang Fang, Chen Dongsheng, Cheng Shuiyuan, et al. Impacts of air pollutant transport based on air trajectory clustering [J]. Research of Environmental Sciences, 2009, 22(6): 637-710(in Chinese).
王芳, 陈东升, 程水源, 等. 基于气流轨迹聚类的大气污染输送影响 [J]. 环境科学研究, 2009, 22(6): 637-710.