基于卫星资料的华东地区气溶胶三维分布特征研究

Abstract
Figure/Table
References (41)
Related Citation (15)

Download: PDF (3153 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract

Using MODIS and CALIPSO level2 aerosol products, the 3D variation characteristics of multiple aerosol optical parameters (aerosol optical depth, extinction coefficient, color ratio and depolarization ratio) were presented by statistical analysis over Eastern China (27°N~37°N and 113°E~123°E) during 2007~2016. The results showed that the aerosol optical depth (AOD) in Eastern China decreased from the north to south, and was higher in plain than in mountain. The seasonal AODs showed higher values in spring and summer, while lower in autumn and winter. The maximum AOD was in summer and the minimum in winter. The AOD in the north part (>31°N) showed more fluctuations than the south. The aerosol extinction coefficient (σ) had an exponential decay with the height. It showed large (small) σ in low layer but rapid (slow) decreasing with the height in autumn and winter (spring and summer). It showed higher σ in the north part than the south below 2km. The color ratios (CRs), with the annual mean values of 0.6~0.7, showed an increasing trend with the height and a decreasing trend with the time. The seasonal CRs below 4km had the maximum in spring and the minimum in summer which showed uniform vertical mixing. However, the CRs above 4km showed the maximum in winter while the minimum in summer. The annual mean depolarization ratios (PDRs) ranging from 0.1~0.25 increased with the height and presented higher values in the northern part. For seasonal PDR, it had the maximum in spring and the minimum in summer below 5km, while the highest in winter and the lowest in summer above 5km. For the aerosol compositions in Eastern China, the main pollutant below 2km was dust. For 2~5 km, it dominated by dust in spring and smoke in other seasons. Above 5km, the main pollutant was dust in winter and spring, while smoke in summer and autumn.

Key words： aerosol optical depth extinction coefficient color ratio depolarization ratio

Received: 08 January 2019

PACS:

X513

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	TANG Zhi-wei
	XU Xiao-feng
	YANG Xiao-yue
	WU Hao
	XIE Li-feng

Cite this article:

TANG Zhi-wei,XU Xiao-feng,YANG Xiao-yue等. Characteristics of three-dimensional aerosol distribution in Eastern China based on satellite data[J]. CHINA ENVIRONMENTAL SCIENCECE, 2019, 39(9): 3624-3634.

URL:

http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2019/V39/I9/3624

[1]	汪安璞.大气气溶胶研究新动向[J]. 环境化学, 1999,18(1):10-15. Wang A P, Recent trends on study of atmospheric aerosols[J]. Environmental Chemistry, 1999,18(1):10-15.
[2]	Ichoku C, Chu D A, Mattoo S, et al. A spatio-temporal approach for global validation and analysis of MODIS aerosol products[J]. Geophysical Research Letters, 2002,29(12):11-14.
[3]	夏祥鳌.全球陆地上空MODIS气溶胶光学厚度显著偏高[J]. 科学通报, 2006,51(19):2297-2303. Xia X A. MODIS aerosol optical thickness is significantly higher over global land[J]. Chinese Science Bulletin, 2006,51(19):2297-2303.
[4]	李成才,毛节泰,刘启汉.利用MODIS遥感大气气溶胶及气溶胶产品的应用[J]. 北京大学学报(自然科学版), 2003,(S1):108-117. Li C C, Mao J T, Liu Q H. Remote sensing aerosol with MODIS and the application of MODIS aerosol products[J]. Journal of Peking University, 2003,(S1):108-117.
[5]	He Q S, Li C C, Geng F H, et al. Study on Long-Term Aerosol Distribution over the Land of East China Using MODIS Data[J]. Aerosol and Air Quality Research, 2012,12(3):304-319.
[6]	胡蝶,张镭,沙莎,等.西北地区MODIS气溶胶产品的对比应用分析[J]. 干旱气象, 2013,31(4):677-683. Hu D, Zhang L, Sha S, et al. Contrast and application of MODIS aerosol products over arid and semiarid region in northwest China[J]. Journal of Arid Meteorology, 2013,31(4):677-683.
[7]	Liu X, Chen Q, Che H, et al. Spatial distribution and temporal variation of aerosol optical depth in the Sichuan basin, China, the recent ten years[J]. Atmospheric Environment, 2016,147:434-445.
[8]	Yu H, Kaufman Y J, Chin M, et al. A review of measurement-based assessments of the aerosol direct radiative effect and forcing[J]. Atmospheric Chemistry and Physics, 2006,6(3):613-666.
[9]	Liu Z Y, Vaughan M, Winker D, et al. The CALIPSO Lidar Cloud and Aerosol Discrimination:Version 2Algorithm and Initial Assessment of Performance[J]. Journal of Atmospheric & Oceanic Technology, 2009,26(7):1198-1213.
[10]	Huang L, Jiang J H, Tackett J L, et al. Seasonal and diurnal variations of aerosol extinction profile and type distribution from CALIPSO 5-year observations[J]. Journal of Geophysical Research:Atmospheres, 2013,118(10):4572-4596.
[11]	Campbell, James R, Reid, et al. Characterizing the vertical profile of aerosol particle extinction and; linear depolarization over Southeast Asia and the Maritime Continent:; The 2007-2009 view from CALIOP[J]. Atmospheric Research, 2013,122(10):520-543.
[12]	Prijith S S, Rajeev K, Thampi B V, et al. Multi-year observations of the spatial and vertical distribution of aerosols and the genesis of abnormal variations in aerosol loading over the Arabian Sea during Asian summer monsoon season[J]. Journal of Atmospheric and Solar-Terrestrial Physics, 2013,105-106(s105-106):142-151.
[13]	Huang J, Minnis P, Chen B, et al. Long-range transport and vertical structure of Asian dust from CALIPSO and surface measurements during PACDEX[J]. Journal of Geophysical Research, 2008,113(D23):D23212.
[14]	许潇锋,刘晨璇,唐志伟,等.基于CALIPSO的华北地区气溶胶垂直分布特征[J]. 大气科学学报, 2018,41(1):126-134. Xu X X, Liu C X, Tang Z W, et al. Characteristics of aerosol vertical distribution based on CALIPSO over North China[J]. Transactions of Atmospheric Sciences, 2018,41(1):126-134.
[15]	刘璇,朱彬,袁亮,等.基于CALIPSO卫星资料的华东地区气溶胶垂直分布特征[J]. 沙漠与绿洲气象, 2016,10(5):79-86. Liu X, Zhu B, Yuan L, et al. Characteristics of Aerosol vertical distribution in Eastern China based on CALIPSO satellite data[J]. Desert and Oasis Meteorology, 2016,10(5):79-86.
[16]	Guo J, Liu H, Wang F, et al. Three-dimensional structure of aerosol in China:A perspective from multi-satellite observations[J]. Atmospheric Research, 2016,178-179:580-589.
[17]	Niu S, Lu C, Yu H, et al. Fog research in China:An overview[J]. Advances in Atmospheric Sciences, 2010,27(3):639-662.
[18]	刘璇,朱彬,关学锋,等.华东地区气溶胶分布和变化特征研究[J]. 沙漠与绿洲气象, 2017,11(1):11-21. Liu X, Zhu B, Guan X X, et al. A study of the characteristics of aerosol distribution and variation in Eastern China[J]. Desert and Oasis Meteorology, 2017,11(1):11-21.
[19]	郁珍艳,高大伟,李正泉,等.华东区域PM2.5变化背景下浙江省人口经济暴露水平评估[J]. 环境科学, 2017,38(12):4924-4931. Yu Z Y, Gao D W, Li Z Q, et al. Exposure level of population and economy in Zhejiang province considering the background of PM2.5 in East China[J]. Environment Science, 2017,38(12):4924-4931.
[20]	曲雅微,王体健,马超群,等.灰霾天气期间南京气溶胶的化学组成及光学特性研究[J]. 环境监测管理与技术, 2015,27(2):17-21. Qu Y W, Wang T J, Ma C Q, et al. Study on chemical composition and optical characteristics of aerosols during hazy period in Nanjing[J]. The Administration and Technique of Environmental Monitoring, 2015,27(2):17-21.
[21]	高星星,陈艳,张武.2006~2015年中国华北地区气溶胶的垂直分布特征[J]. 中国环境科学, 2016,36(8):2241-2250. Gao X X, Chen Y, Zhang W. Vertical distribution of atmosphere aerosol practices over North China from 2006 to 2015[J]. China Environment Science, 2016,36(8):2241-2250.
[22]	King M D, Kaufman Y J, Menzel W P, et al. Remote sensing of cloud, aerosol, and water vapor properties from the moderate resolution imaging spectrometer (MODIS).[J]. IEEE Transactions on Geoscience & Remote Sensing, 1992,30(1):2-27.
[23]	齐玉磊,葛觐铭,黄建平.北方地区MODIS和MISR与AERONET气溶胶光学厚度的比较及其时空分布分析[J]. 科学通报, 2013, 58(17):1670-1679. Qi Y L, Ge J M, Huang J P. Spatial and temporal distribution of MODIS and MISR aerosol optical depth over northern China and comparison with AERONET[J]. Chinese Science Bulletin, 2013, 58(17):1670-1679.
[24]	Zhai T, Zhao Q, Shi R, et al. Spatial and seasonal variations of MODIS aerosol optical depth in East China during 2000~2012[C]//Remote Sensing & Modeling of Ecosystems for Sustainability X. International Society for Optics and Photonics, 2013.
[25]	Xia X A, Chen H B, Wang P C, et al. Variation of column-integrated aerosol properties in a Chinese urban region[J]. Journal of Geophysical Research Atmospheres, 2006,111:D05204.
[26]	Wang H, Tan S C, Wang Y, et al. A multisource observation study of the severe prolonged regional haze episode over eastern China in January 2013[J]. Atmospheric Environment, 2014,89(2):807-815.
[27]	Li L, Huang C, Huang H Y, et al. An integrated process rate analysis of a regional fine particulate matter episode over Yangtze River Delta in 2010[J]. Atmospheric Environment, 2014,91(7):60-70.
[28]	Ming L, Jin L, Li J, et al. PM2.5 in the Yangtze River Delta, China:Chemical compositions, seasonal variations, and regional pollution events[J]. Environmental Pollution, 2017,223:200-212.
[29]	Sun T, Che H, Qi B, et al. Aerosol optical characteristics and their vertical distributions under enhanced haze pollution events:effect of the regional transport of different aerosol types over eastern China[J]. Atmospheric Chemistry and Physics, 2018,18(4):1-45.
[30]	Zhang J, Li X. Vertical distribution of sand-dust aerosols and the relationships with atmospheric environment[J]. Journal of Arid Land, 2012,4(4):357-368.
[31]	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]. 2003,108(D9):4262-4281.
[32]	Jacob D J, Winner D A. Effect of climate change on air quality[J]. Atmospheric Environment, 2009,43(1):51-63.
[33]	熊刚.煤和生物质燃烧碳烟生成的实验研究[D]. 北京:清华大学, 2011. Xiong G. Experimental study of soot formation during the combustion of coal and biomass[D]. Beijing:Tsinghua University, 2011.
[34]	马奋华,管兆勇.中国东部AOD等级变化及与东亚夏季风的联系[J]. 中国环境科学, 2018,38(9):3201-3210. Ma F H, Guan Z Y. Features of graded AOD in East China in association with East Asian summer monsoon anomalies[J]. China Environment Science, 2018,38(9):3201-3210.
[35]	俞海洋,张杰,李婷,等.2000~2013年北京及周边地区大气气溶胶光学厚度时空变化特征及气象影响因素分析[J]. 气象科学, 2018,38(4):512-522.
[36]	Yu H Y, Zhang J, Li T, et al. Spatia-temporal variation of atmosphere aerosol optical depth and the meteorological factors in Beijing and surrounding area from 2000 to 2014[J]. Journal of the Meteorology Sciences, 2018,38(4):512-522.
[37]	李煜,陈敏,罗剑锋,等.1951~2016年长江中下游气候变化及其与厄尔尼诺/拉尼娜的相关性[J]. 三峡大学学报(自然科学版), 2018,40(6):16-21. Li Y, Chen M, Luo J F, et al. Climate change in the middle and lower reaches of the Yangtze River and its relation to EL Nino/La Nina events during 2015~2016[J]. Journal of Three Gorges University (Natural Science), 2018,40(6):16-21.
[38]	丁一汇,司东,柳艳菊,等.论东亚夏季风的特征、驱动力与年代际变化[J]. 大气科学, 2018,42(3):533-558. Ding Y H, Si D, Liu Y J, et al. On the characteristics, driving forces and inter-decadal variability of the East Asian summer monsoon[J]. Chinese Journal of Atmosphere Sciences, 2018,42(3):533-558.
[39]	He Q, Geng F, Li C, et al. Long-term characteristics of satellite-based PM2.5 over East China[J]. Science of the Total Environment, 2017, 612(2018):1417-1423.
[40]	马宗伟.基于卫星遥感的我国PM2.5时空分布研究[D]. 南京:南京大学, 2015. Ma Z W. Study on spatiotemporal distributions of PM2.5 in China using satellite remote sense[D]. Nangjing:Nanjing University, 2015.
[41]	齐庆华,蔡榕硕.中国大陆东部相对湿度变化与海陆热力差异的关联性初探[J]. 高原气象, 2017,36(6):1587-1594. Qi Q H, Cai R S. The variation of relative humidity in the east of Chinese mainland and its association with Sea-land thermal contrast[J]. Plateau Meteorology, 2017,36(6):1587-1594.