Abstract：Aerosol optical depth (AOD) is a key indicator of the atmospheric environment, which can be used to represent the degree of atmospheric pollution. Obtaining AOD by satellite remote sensing can make up for the lack of the spatial distribution of AOD and the trend of overall change by ground-based observation. With Chizhou City as the study area, the authors retrieved AOD of four seasons in 2014 using the improved dense dark vegetation method(V5.2 method)based on EOS-MODIS data and analyzed spatial and temporal distribution of AOD after verifying its reliability. The research results show that there is a good consistency in the overall change trend between the AOD retrieved from MODIS and that from MOD04_3K, but they also have some differences, especially in the winter half year. There is a remarkable difference of AOD distribution both regionally and seasonally. Overall performance in the northern part of the AOD is significantly higher than in the south, and spring and summer seasons are higher than the autumn and winter seasons, while different regional trends are different. The temporal and spatial changes of AOD are strongly influenced by natural factors and human factors.
张明明, 程东兵, 齐建华, 胡建春, 罗晶. 基于卫星遥感的池州市气溶胶光学厚度时空分布[J]. 国土资源遥感, 2017, 29(4): 147-155.
ZHANG Mingming, CHENG Dongbing, QI Jianhua, HU Jianchun, LUO Jing. Temporal and spatial distribution of aerosol optical depth in Chizhou based on satellite remote sensing. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(4): 147-155.
[1] 章澄昌,周文贤.大气气溶胶教程[M].北京:气象出版社,1995:2-3. Zhang C C,Zhou W X.Atmospheric Aerosol Tutorial[M].Beijing:China Meteorological Press,1995:2-3. [2] 王明星.气溶胶与气候[J].气候与环境研究,2000,5(1):1-5. Wang M X.Aerosol in relation to climate change[J].Climatic and Environmental Research,2000,5(1):1-5. [3] Schwartz S E,Arnold F,Blanchet J P,et al.Group report:Connection between aerosol properties and forcing of climate[C]//Charlson R J,Heintzenberg J.Aerosol Forcing of Climate.1995:251-280. [4] Hansen J,Sato M,Ruedy R.Radiative forcing and climate response[J].Journal of Geophysical Research,1997,102(D6):6831-6864. [5] 任丽新,游荣高,吕位秀,等.城市大气气溶胶的物理化学特性及其对人体健康的影响[J].气候与环境研究,1999,4(1):67-73. Ren L X,You R G,Lyu W X,et al.The physical and chemical characteristics of aerosols in the urban region and their influence on human health[J].Climatic and Environmental Research,1999,4(1):67-73. [6] 张小曳,孙俊英,王亚强,等.我国雾-霾成因及其治理的思考[J].科学通报,2013,58(13):1178-1187. Zhang X Y,Sun J Y,Wang Y Q,et al.Factors contributing to haze and fog in China[J].Chinese Science Bulletin,2013,58(13):1178-1187. [7] Charlson R J,Schwartz S E,Hales J M,et al.Climate forcing by anthropogenic aerosols[J].Science,1992,255(5043):423-430. [8] 李成才,毛节泰,刘启汉,等.利用MODIS光学厚度遥感产品研究北京及周边地区的大气污染[J].大气科学,2003,27(5):869-880. Li C C,Mao J T,Liu Q H,et al.Research on the air pollution in Beijing and its surroundings with MODIS AOD products[J].Chinese Journal of Atmospheric Sciences,2003,27(5):869-880. [9] 陈良富,陶金花,王子峰,等.空气质量卫星遥感监测技术进展[J].大气与环境光学学报,2015,10(2):117-125. Chen L F,Tao J H,Wang Z F,et al.Review of satellite remote sensing of air quality[J].Journal of Atmospheric and Environmental Optics,2015,10(2):117-125. [10] Kaufman Y J,Wald A E,Remer L A,et al.The MODIS 2.1-μm channel-correlation with visible reflectance for use in remote sensing of aerosol[J].IEEE Transactions on Geoscience and Remote Sensing,1997,35(5):1286-1298. [11] Levy R C,Remer L A,Mattoo S,et al.Second-generation operational algorithm:Retrieval of aerosol properties over land from inversion of moderate resolution imaging spectroradiometer spectral reflectance[J].Journal of Geophysical Research,2007,112(D13):D13211. [12] 毛节泰,李成才,张军华,等.MODIS卫星遥感北京地区气溶胶光学厚度及与地面光度计遥感的对比[J].应用气象学报,2002,13(S1):127-135. Mao J T,Li C C,Zhang J H,et al.The comparison of remote sensing aerosol optical depth from MODIS data and ground sun-photometer observations[J].Journal of Applied Meteorological Science,2002,13(S1):127-135. [13] 李成才,毛节泰,刘启汉,等.利用MODIS研究中国东部地区气溶胶光学厚度的分布和季节变化特征[J].科学通报,2003,48(19):2094-2010. Li C C,Mao J T,Liu Q H,et al.Characteristics of distribution and seasonal variation of aerosol optical depth in eastern China with MODIS products[J].Chinese Science Bulletin,2003,48(22):2488-2495. [14] 刘桂青,李成才,朱爱华,等.长江三角洲地区大气气溶胶光学厚度研究[J].环境保护,2003(8):50-54. Liu G Q,Li C C,Zhu A H,et al.Optical depth research of atmospheric aerosol in the Yangtze River Delta region[J].Environmental Protection,2003(8):50-54. [15] 段 婧,毛节泰.长江三角洲大气气溶胶光学厚度分布和变化趋势研究[J].环境科学学报,2007,27(4):537-543. Duan J,Mao J T.Study on the distribution and variation trends of atmospheric aerosol optical depth over the Yangtze River Delta[J].Acta Scientiae Circumstantiae,2007,27(4):537-543. [16] 赵秀娟,陈长和,张 武,等.利用MODIS资料反演兰州地区气溶胶光学厚度[J].高原气象,2005,24(1):97-103. Zhao X J,Chen C H,Zhang W,et al.Retrieval of aerosol optical depth over Lanzhou area using MODIS data[J].Plateau Meteorology,2005,24(1):97-103. [17] 唐家奎,薛 勇,虞 统,等.MODIS陆地气溶胶遥感反演——利用TERRA和AQUA双星MODIS数据协同反演算法[J].中国科学D辑(地球科学),2005,35(5):474-481. Tang J K,Xue Y,Yu T,et al.Aerosol retrieval over land by exploiting the synergy of TERRA and AQUA MODIS data[J].Science in China Series D,2006,49(6):641-649. [18] 李晓静,刘玉洁,邱 红,等.利用MODIS资料反演北京及其周边地区气溶胶光学厚度的方法研究[J].气象学报,2003,61(5):580-591. Li X J,Liu Y J,Qiu H,et al.Retrieval method for optical thickness of aerosds over Beijing and its vicinity by using the MODIS data[J].Acta Meteorologica Sinica,2003,61(5):580-591. [19] 陈良富,李莘莘,陶金花,等.气溶胶遥感定量反演研究与应用[M].北京:科学出版社,2011. Chen L F,Li S S,Tao J H,et al.Research and Application on Quantitative Retrieval of Aerosol by Rremote Sensing[M].Beijing:Science Press,2011. [20] Remer L A,Mattoo S,Levy R C,et al.MODIS 3 km aerosol product:Algorithm and global perspective[J].Atmospheric Measurement Techniques Discussions,2013,6(1):69-112. [21] 孙晓雷,甘 伟,林 燕,等.MODIS 3 km气溶胶光学厚度产品检验及其环境空气质量指示[J].环境科学学报,2015,35(6):1657-1666. Sun X L,Gan W,Lin Y,et al.Validation of MODIS 3 km aerosol optical depth product and its air quality indication[J].Acta Scientiae Circumstantiae,2015,35(6):1657-1666. [22] 胡子梅.基于卫星遥感和地面监测数据的上海市气溶胶污染研究[D].上海:华东师范大学,2014. Hu Z M.Aerosol Pollution Research in Shanghai Based on Satellite Remote Sensing and Ground Monitoring Data[D].Shanghai:East China Normal University,2014. [23] 张 璐,施润和,李 龙.基于HJ-1卫星数据反演长江三角洲地区气溶胶光学厚度[J].遥感技术与应用,2016,31(2):290-296. Zhang L,Shi R H,Li L.Retrieval of aerosol optical depth using HJ-1 data over the Yangtze River Delta[J].Remote Sensing Technology and Application,2016,31(2):290-296. [24] Levy R C,Mattoo S,Munchak L A,et al.The collection 6 MODIS aerosol products over land and ocean[J].Atmospheric Measurement Techniques,2013,6(11):2989-3034. [25] 杨 啸.基于时序NDVI的湖北省植被覆盖动态变化监测分析[J].长江流域资源与环境,2013,22(2):226-231. Yang X.Dynamic change monitoring and analysis of vegetation cover in Hubei Province based on time series NDVI data[J].Resources and Environment in the Yangtze Basin,2013,22(2):226-231. [26] 关佳欣,李成才.我国中、东部主要地区气溶胶光学厚度的分布和变化[J].北京大学学报(自然科学版),2010,46(2):185-191. Guan J X,Li C C.Spatial distributions and changes of aerosol optical depth over eastern and central China[J].Acta Scientiarum Naturalium Universitatis Pekinensis,2010,46(2):185-191. [27] 刘桂青,毛节泰,李成才.长江三角洲地区大气气溶胶光学厚度研究[J].上海环境科学,2003(S1):58-63,193. Liu G Q,Mao J T,Li C C.Optical depth study on atmospheric aerosol in Yangtze River Delta region[J].Shanghai Environmental Sciences,2003(S1):58-63,193. [28] 张明明,刘振波,葛云健.江苏省大气气溶胶光学厚度时空分布研究[J].长江流域资源与环境,2014,23(12):1775-1782. Zhang M M,Liu Z B,Ge Y J.Spatio-temporal distribution of atmospheric aerosol optical depth in Jiangsu Province[J].Resources and Environment in the Yangtze Basin,2014,23(12):1775-1782.
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