中国气溶胶光学厚度的时空分布及影响因素分析

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Abstract Based on the MERRA-2reanalysis datasets of aerosol optical depth (AOD) during 1980~2017, spatial-temporalvariations of AOD and joint effects of natural and anthropogenic factors on AOD values over China were quantitatively analyzed with trend analysis and geographically and temporally weighted regression (GTWR) from spatial-temporalheterogeneity perspective. The results showed that AOD values in China hold a significant upward trend (0.0028a^-1) during 1980~2017 but a downward trend (-0.0083a^-1) during 2009~2017. The period around 2008was a turning point in AOD trends, probably owing to the construction of ecological civilization in 2007 and theglobal economic crisis in 2008. Secondly, the Hu Huanyong line was the geographical border of aerosol concentration, properties and trends in China. The distribution of AOD since 1980 demonstrated the characteristics of high in the east, low in the west, increasing in the east, and basically unchanged in the west, dominated by anthropogenic aerosols in the east, and dominated by natural aerosols in the west. Lastly, the AOD was positivecorrelated with precipitation, temperature, surface pressure, black carbon aerosol emission and SO₄ aerosol emission, while was negatively correlated with wind speed, normalized difference vegetation index (NDVI) and gross domestic product (GDP).The relationship between AOD and impact factors varied over time and space. From the perspective of temporal variations of estimated coefficients of GTWR model, the effects of influencing factors such as precipitation, wind speed, NDVI and GDP on AOD values over time were consistent; while the temporal variations of other factors, including temperature, surface pressure, black carbon aerosol emission and SO₄ aerosol emission, exhibited changedinconsistently. From the perspective of spatial variations,the correlation between temperature and AOD wasnegative in northern China, while positive in southern China.

Key words： aerosol optical depth spatial-temporal distribution impact factors geographically and temporally weighted regression (GTWR)

Received: 26 February 2021

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	SUN Zhong-bao
	CHENG Xian-fu
	XIA Xiao-sheng

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SUN Zhong-bao,CHENG Xian-fu,XIA Xiao-sheng. Spatial-temporaldistribution and impact factors of aerosol optical depth over China[J]. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(10): 4466-4475.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2021/V41/I10/4466

[1]	CharlsonR J, Schwartz S E, HalesJ M, et al. Climate Forcing by Anthropogenic Aerosols[J]. Science, 1992,255:423-430.
[2]	Li Y, Henze D K, Jack D, et al. The influence of air quality model resolution on health impact assessment for fine particulate matter and its components[J]. Air QualAtmos Health, 2016,9(1):51-68.
[3]	Bellouin N, Boucher O, Haywood J, et al. Global estimate of aerosol direct radiative forcing from satellite measurements[J]. Nature, 2005, 438(7071):1138-1141.
[4]	He Q, Zhang M, Huang B. Spatio-temporal variation and impact factors analysis of satellite-based aerosol optical depth over China from 2002 to 2015[J]. Atmospheric Environment, 2016,129:79-90.
[5]	Mai B, Deng X, Xia X, et al. Column-integrated aerosol optical properties of coarse- and fine-mode particles over the Pearl River Delta region in China[J]. The Science of the Total Environment, 2018, 622:481-492.
[6]	张志薇,王宏斌,张镭,等.中国3个AERONET站点气溶胶微物理特性分析及比较[J]. 中国环境科学, 2014,34(8):1927-1937.Zhang Z W, Wang H B, Zhang L, et al. Analysisand comparisonof the aerosol microphysical properties at three AERONET sites in China[J]. China Environmental Science, 2014,34(8):1927-1937.
[7]	千家乐,刘朝顺.胡焕庸线两侧气溶胶光学厚度时空分布特征及其与土地利用响应的研究[J]. 环境科学学报, 2018,38(2):752-760.Qian J L, Liu C S. Distributions and changes of aerosol optical depth on both sides of HU Huanyong Line and the response to land use and landcover[J]. Acta Scientiae Circumstantiae, 2018,38(2):752-760.
[8]	Gao L, Li J, Chen L, et al. Retrieval and validation of atmospheric aerosol optical depth from AVHRR Over China[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016,54(11):6280-6291.
[9]	Guo J P, Zhang X Y, Wu Y R, et al. Spatial-temporal variation trends of satellite-based aerosol optical depth in China during 1980~2008[J]. Atmospheric Environment, 2011,45(37):6802-6811.
[10]	Qi Y, Ge J, Huang J. Spatial and temporal distribution of MODIS and MISR aerosol optical depth over northern China and comparison with AERONET[J]. Chinese Science Bulletin, 2013,58(20):2497-2506.
[11]	李龙,施润和,张璐,等.华东地区MODIS与OMI气溶胶光学厚度数据融合[J]. 地球信息科学学报, 2015,17(10):1224-1233.Li L, Shi R H, Zhang L, et al. Data fusion of MODIS AOD and OMIAOD overEast China using universal kriging[J]. Journal of Geo-information Science, 2015,17(10):1224-1233.
[12]	Randles C A, Da Silva A M, Buchard V, et al. The MERRA-2Aerosol Reanalysis, 1980-onward, Part I:System Description and Data Assimilation Evaluation[J]. J. Clim., 2017,30(17):6823-6850.
[13]	Qin W, Liu Y, Wang L, et al. Characteristic and Driving Factors of Aerosol Optical Depth over Mainland China during 1980~2017[J]. Remote Sensing, 2018,10(7):1064.
[14]	刘莹,林爱文,覃文敏,等.1990~2017年中国地区气溶胶光学厚度的时空分布及其主要影响类型[J]. 环境科学, 2019,40(6):2572-2581.Liu Y, Lin A W, Qin W M, et al. Spatial-temporal Distribution of Aerosol Optical Depth and Its Main Influence Typesin China During 1990~2017[J]. Environmental Science, 2019,40(6):2572-2581.
[15]	He L, Wang L, Lin A, et al. What drives changes in aerosol properties over the Yangtze River Basin in past four decades?[J]. Atmospheric Environment, 2018,190:269-283.
[16]	Song Z, Fu D, Zhang X, et al. Diurnal and seasonal Comparison of MERRA-2products and ground measurements[J]. Atmospheric Environment, 2018.19:70-78.
[17]	林俊,刘卫,李燕,等.大气气溶胶粒径分布特征与气象条件的相关性分析[J]. 气象与环境学报, 2009,25(1):1-5.Lin J, Liu W, Li Y, et al. Relationshipbetweenmeteorologicalcondition sandparticlesizedistributionofatmosphericaerosols[J]. Journal of Meteorology and Environment, 2009,25(1):1-5.
[18]	韩道文,刘文清,张玉钧,等.温度和相对湿度对气溶胶质量浓度垂直分布的影响[J]. 中国科学院研究生院学报, 2007,(5):619-624.Han D W, Liu W Q, Zhang Y J, et al. Influence of temperature and relative humidity uponaerosol mass concentrations vertical distributions[J]. Journal of the Graduate School of the Chinese Academy of Sciences, 2007,(5):619-624.
[19]	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.Yu H Y, Zhang J, Li T, et al. Spatiotemporal variation of atmospheric aerosol optical depth and the meteorological factorsin Beijing and surrounding area from 2000 to 2013[J]. Journal of the Meteorological Sciences, 2018,38(4):512-522.
[20]	刘状,孙曦亮,刘丹,等.2001~2017年中国北方省份气溶胶光学厚度的时空特征[J]. 环境科学学报, 2018,38(8):3177-3184.Liu Z, Sun X L, Liu D, et al. Spatiotemporal characteristics of aerosol optical depth over Beijing-Tianjin-Hebei-Shandong-Henan-Shanxi-Shaanxiregion during 2001~2017[J]. Acta Scientiae Circumstantiae, 2018,38(8):3177-3184.
[21]	张静怡,卢晓宁,洪佳,等.2000~2014年四川省气溶胶时空格局及其驱动因子定量研究[J]. 自然资源学报, 2016,31(9):1514-1525.Zhang J Y, Lu X N, Hong J, et al. Quantitative study on temporal and spatial patterns of aerosol optical depth and Its driving forces inSichuan province during 2000~2014[J]. Journal of Natural Resources, 2016,31(9):1514-1525.
[22]	Yan L, Liu X, Yang P, et al. Study of the impact of summer monsoon circulation on spatial distribution of aerosols in East Asia based on numerical simulations[J]. Journal of Applied Meteorology and Climatology, 2011,50(11):2270-2282.
[23]	范东福,杨书运,吴必文,等.基于AOD数据的秸秆焚烧监测[J]. 国土资源遥感, 2015,27(2):33-138.Fan D F, Yang S Y, Wu B W, et al. Monitoring of biomass burning based on AOD[J]. Remote Sensing for Land and Resources, 2015, 27(2):133-138.
[24]	Yu M, Yuan X, He Q, et al. Temporal-spatial analysis of crop residue burning in China and its impact on aerosol pollution[J]. Environ. Pollut., 2018,245:616-626.
[25]	Yang J, Kang S, Chen D, et al. Quantifying the contributions of various emission sources to black carbon and assessment of control strategies in western China[J]. Atmospheric Research, 2019,215:178-192.
[26]	Li L, Wang Y. What drives the aerosol distribution in Guangdong-the most developed province in Southern China?[J]. Sci. Rep., 2014, 4:5972.
[27]	Xue R, Bo A, Lin YY, et al. Spatial and Temporal Distribution of Aerosol Optical Depth and Its Relationship with Urbanization in Shandong Province[J]. Atmosphere, 2019,10(3):110.
[28]	徐丹,邓孺孺,陈启东,等.基于CE318观测的广州市气溶胶光学特性[J]. 热带地理, 2015,35(1):21-28.Xu D, Deng R R, Chen Q D, et al. Aerosol optical properties. In Guangzhou based on the CE318 data[J]. Tropical Geography, 2015,35(1):21-28.
[29]	Shi H Y, Xiao Z Q, Zhan X C, et al. Evaluation of MODIS and two reanalysis aerosol optical depth products over AERONET sites[J]. Atmospheric Research, 2019,220:75-80.
[30]	Voulgarakis A, Savage N H, Wild O, et al. Interannual variability of tropospheric composition:the influence of changes in emissions, meteorology and clouds[J]. Atmosperic Chemistry and Physics, 2010, 10:2491-2506.
[31]	Huang B, Wu B, Barry M. Geographically and temporally weighted regression for modeling spatiotemporal variation in house prices[J]. International Journal of Geographical Information Science, 2010,24(3):383-401.
[32]	HurvichC M, SimonoffJ S, Tsai C L. Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion[J]. Journal of the Royal Statistical Society, 1998,60(2):271-293.
[33]	Buchard V, Randles C A, da Silva A M, et al. The MERRA-2 aerosol reanalysis, 1980 Onward. Part II:Evaluation and case studies[J]. Journal of Climate, 2017,30(17):6851-6872.
[34]	Mccormick M P, Swissler T J. Stratospheric aerosol mass and latitudinal distribution of the El Chichon eruption cloud for October 1982[J]. Geophysical Research Letters, 1983,10:877-880.
[35]	王银牌,喻鑫,谢广奇.中国近15年气溶胶光学厚度时空分布特征[J]. 中国环境科学, 2018,38(2):426-434.Wang Y P, Yu X, Xie G Q. Spatial distribution and temporal variation of aerosol optical depth over China in the past 15years[J]. China Environmental Science, 2018,38(2):426-434.
[36]	张宸赫,赵天良,王富,等.2003~2014年东北三省气溶胶光学厚度变化分析[J]. 环境科学, 2017,38(2):476-484.Zhang C H, Zhao T L, Wang F et al.Variations in aerosol optical depth over three northeastern provinces of Chinain 2003~2014[J]. Environmental Science, 2017,38(2):476-484.
[37]	单楠,杨晓晖,时忠杰,等.基于MODIS的中国陆地气溶胶光学厚度时空分布特征[J]. 中国水土保持科学, 2012,10(5):24-30.Shan N, Yang X H, Shi Z J, et al. Spatial and temporal distribution of aerosol opticaldepth in China based on MODIS[J]. Science of Soil and Water Conservation, 2012,10(5):24-30.
[38]	张亮林,潘竟虎,张大弘.基于MODIS数据的中国气溶胶光学厚度时空分布特征[J]. 环境科学学报, 2018,38(11):4431-4439.Zhang L L, Pan J H, Zhang D H. Spatiotemporal distribution characteristics of aerosol optical depths in China based on MODIS data[J]. ActaScientiae Circumstantiae, 2018,38(11):4431-4439.
[39]	He Q, Gu Y, Zhang M. Spatiotemporal patterns of aerosol optical depth throughout China from 2003 to 2016[J]. Sci. Total. Environ., 2019,653:23-35.
[40]	Kang H, Zhu B, Van D, et al. Natural and anthropogenic contributions to long-term variations of SO2, NO2, CO, and AOD over East China[J]. Atmospheric Research, 2018,215:284-293.
[41]	Li J L, Ge X Y, He Q, et al. Aerosol optical depth (AOD):spatial and temporal variations and association with meteorological covariates in Taklimakan desert, China[J]. Peer J., 2021,9:1-22.
[42]	Daniel H L N, Li R M, Srivatsan V. R, et al. Investigating the relationship between Aerosol Optical Depth and Precipitation over Southeast Asia with Relative Humidity as an influencing factor[J]. Scientific Reports, 2017,17(7):1719-1723.
[43]	赵佳佳,顾芳,张加宏,等.单颗粒气溶胶的吸湿增长模型及散射特性研究[J]. 光学学报, 2020,40(5):15-22.Zhao J J, Gu F, Zhang J H, et al. Hygroscopic growth model and scattering characteristics of single-particle aerosols[J]. Acta Optica Sinica, 2020,40(5):15-22.
[44]	Sun Q, Miao C, Duan Q. Changes in the spatial heterogeneity and annual distribution of observed precipitation across China[J]. Journal of Climate, 2017,30(23):9399-9416.
[45]	Chen C, Park T, Wang X, et al. China and India lead in greening of the world through land-use management[J]. Nat Sustain, 2019,2:122-129.
[46]	张喆,丁建丽,王瑾杰.中亚沙尘气溶胶时空分布特征及潜在扩散特性分析[J]. 地理学报, 2017,72(3):507-520.Zhang Z, Ding J L, Wang J J. Spatio-temporal variations and potential diffusion characteristics of dust aerosol originating from Central Asia[J]. Acta Geographica Sinica, 2017,72(3):507-520.