基于MODIS数据的长三角地区气溶胶直接辐射效应研究

doi:10.11934/j.issn.1673-4831.2018.01.007

摘要/Abstract

摘要：

以长三角地区为研究区，基于MODIS卫星遥感数据和6S大气辐射传输模型，模拟计算长三角地区地表和大气层顶的气溶胶直接辐射效应（aerosol direct radiation effect，ADRE），并利用南京信息工程大学北辰楼站点CE-318实测数据进行精度验证，在此基础上分析长三角地区气溶胶直接辐射效应的时空分布特征。结果表明，利用MODIS数据反演的地表ADRE、大气层顶ADRE与实测值的拟合精度R²分别为0.92和0.95。在空间上，地表与大气层顶直接辐射效应值的分布区域与变化趋势在整体上趋于一致，其绝对值均呈现北高南低的态势，地表ADRE为-31.60~-20.54 W·m^-2、大气层顶ADRE为-3.48~-2.61 W·m^-2之间的ADRE绝对值高值区主要集中在北部，尤其在江苏南部的苏州、无锡和常州地区，气溶胶辐射效应显著增大；在时间上，ADRE绝对值的年变化呈波动下降趋势，地表和大气层顶ADRE均值分别在-21.78~-5.94和-2.45~-0.73 W·m^-2之间。其中江苏、上海地区气溶胶辐射效应的季节性变化明显，浙江地区辐射效应的季节性差异较小，地表ADRE变化范围大多分布在-10~0 W·m^-2区间，大气层顶ADRE变化范围大多分布在-1~0 W·m^-2区间。

关键词: 气溶胶, 直接辐射效应, 长江三角洲, MODIS

Abstract:

Based on relevant MODIS data and the 6S atmospheric radiation transfer model, aerosol direct radiation effects (ADRE) on the surface of the Yangtze River Delta and the top layer of the atmosphere were simulated and calculated, and then validated for accuracy with reference to the measured data by CE-318 of the Beichen Building Station of the Nanjing University of Information Science & Technology. On such a basis, analysis was conducted of spatio-temporal distribution of ADRE in the Yangtze River Delta region, Results show that the MODIS data could be used to inverse ADRE on land surface and on top of the atmosphere with results approximate to the measured data, reaching 0.92 and 0.95 in fitting accuracy (R²). In terms of spatial distribution and variation, ADREs on land surface (-31.60--20.54 W·m^-2) and on top of the atmosphere (-3.48--2.61 W·m^-2) tended to be similar with absolute values being high in the north and lower towards the south. The ADREs in Suzhou, Wuxi and Changzhou of South Jiangsu increased significantly; In terms of temporal variation, absolute ADREs fluctuated downwards year by year, varying in the range of -21.78--5.94 and -2.45--0.73 W·m^-2, respectively, on land surface and on top of the atmosphere, and varied quite significantly with the season in Jiangsu and Shanghai and relatively less in Zhejiang in the range of -10-0 W·m^-2 on land surface and -1-0 W·m^-2 on top of the atmosphere.

Key words: aerosol, direct radiation effects, Yangtze River Delta, MODIS

中图分类号:

X831
X87

周杰, 陈健, 张海龙, 王文君. 基于MODIS数据的长三角地区气溶胶直接辐射效应研究[J]. 生态与农村环境学报, 2018, 34(1): 54-63.

ZHOU Jie, CHEN Jian, ZHANG Hai-long, WANG Wen-jun. Study of Aerosol Direct Radiation Effects in the Yangtze River Delta Based on MODIS Data[J]. Journal of Ecology and Rural Environment, 2018, 34(1): 54-63.

参考文献

[1] 罗云峰,周秀骥,李维亮.大气气溶胶辐射强迫及气候效应的研究现状[J].地球科学进展,1998,13(6):572-581.[LUO Yun-feng,ZHOU Xiu-ji,LI Wei-liang.Advances in the Study of Atmospheric Aerosol Radiative Forcing and Climate Change[J].Advance in Earth Sciences,1998,13(6):572-581.]
[2] 邓学良,何冬燕,潘德炉,等.卫星遥感中国海域气溶胶直接辐射强迫[J].气象学报,2010,68(5):666-679.[DENG Xue-liang,HE Dong-yan,PAN De-lu,et al.Aerosol Direct Forcing Estimated From Satellite Data Over the China Sea[J].Acta Meteorologica Sinica,2010,68(5):666-679.]
[3] 肖钟湧,江洪.长江三角洲地区大气顶气溶胶直接辐射强迫遥感估算[J].中国环境科学,2013,33(5):799-807.[XIAO Zhong-yong,JIANG Hong.Estimations of Aerosol Direct Radiative Forcing at the Top of the Atmosphere Using Remote Sensing Data in Yangtze River Delta Region,China[J].China Environmental Science,2013,33(5):799-807.]
[4] 宋姚,麻金继.利用MODIS数据计算北京地区的气溶胶直接辐射强迫[J].大气与环境光学学报,2012,7(6):445-451.[SONG Yao,MA Jin-ji.Estimation of Aerosol Direct Radiative Forcing in Beijing Area Using MODIS Data[J].Journal of Atmospheric and Environmental Optics,2012,7(6):445-451.]
[5] 段丽洁.兰州地区气溶胶光学厚度和地面总辐射强迫反演研究[D].兰州:兰州大学,2006.[DUAN Li-jie.Retrieval of Aerosol Optical Depth and Total Surface Radiative Forcing Over Lanzhou Areas[D].Lanzhou:Lanzhou University,2006.]
[6] HYE-RYUN O H,CHANG-HOI H O,CHOI H S.Comments on "Direct Radiative Forcing of Anthropogenic Aerosols Over Oceans From Satellite Observation"[J].Advances in Atmospheric Sciences,2013,30(1):10-14.
[7] KAUFMAN Y J,BOUCHER O,TANRÉ D,et al.Aerosol Anthropogenic Component Estimated From Satellite Data[J].Geophysical Research Letters,2005,32(17):317-330.
[8] CHRISTOPHER S A,ZHANG J L,KAUFMAN Y J,et al.Satellite-Based Assessment of Top of Atmosphere Anthropogenic Aerosol Radiative Forcing Over Cloud-Free Oceans[J].Geophysical Research Letters,2006,33(15):198-210.
[9] 范学花,陈洪滨,夏祥鳌.中国大气气溶胶辐射特性参数的观测与研究进展[J].大气科学,2013,37(2):477-498.[FAN Xue-hua,CHEN Hong-bin,XIA Xiang-ao.Progress in Observation Studies of Atmospheric Aerosol Radiative Properties in China[J].Chinese Journal of Atmospheric Sciences,2013,37(2):477-498.]
[10] 邱金桓,吕达仁,陈洪滨,等.现代大气物理学研究进展[J].大气科学,2003,27(4):628-652.[QIU Jin-huan,LU Da-ren,CHEN Hong-bin,et al.Modern Researeh Progressesin AtrnosPherie Physies[J].Chinese Journal of Atmospherie Seienees,2003,27(4):628-652.]
[11] 陈林,石广玉,王标,等.基于卫星观测资料的气溶胶直接辐射强迫研究[C]//第27届中国气象学会年会应对气候变化分会:人类发展的永恒主题论文集.北京:[s.n.],2010:10-25.[CHEN Lin,SHI Guang-yu,WANG Biao,et al.Study on Direct Radiation Forcing of Aerosol Based on Satellite Observation Data[C]//The 27th Annual Meeting of the Chinese Meteorological Society to Deal With Climate Change Sub-Venue-the Eternal Theme of Human Development.Beijing:[s.n.],2010:10-25.]
[12] 朱佳晨,傅云飞.东亚地区气溶胶直接辐射强迫的模拟研究[C].天津:中国气象学会年会S9大气成分与天气、气候变化,2015.[ZHU Jia-chen,FU Yun-fei.Simulation of Direct Radiative Forcing in Aerosols in East Asia[C].Tianjin:China Meteorological Society Annual Meeting S9 Atmospheric Composition and Weather,Climate Change,2015.]
[13] 吴剑飞,陈琳,仇惠栋.长三角区域联防联控大气污染,让蓝天常在碧水长流[EB/OL].(2015-03-14).http://epaperyzwbnet/html_t/2015-03/14/content_220322htm?div=-1.[WU Jian-fei,CHEN Lin,CHOU Hui-dong.Yangtze River Delta Regional Defense Joint Control of Air Pollution,so That the Blue Sky Often Clear Water[EB/OL].(2015-03-14).http://epaperyzwbnet/html_t/2015-03/14/content_220322htm?div=-1.]
[14] 刘荣高,刘洋,刘纪远.MODIS科学数据处理研究进展[J].自然科学进展,2009,19(2):141-147.[LIU Rong-gao,LIU Yang,LIU Ji-yuan.Research Progress of MODIS Scientific Data Processing[J].Progress in Natural Science,2009,19(2):141-147.]
[15] 黄善鹏.基于MODIS数据辽宁地区的气溶胶光学厚度反演研究[D].大连:辽宁师范大学,2016.
[16] 相云.MODIS 1B资料处理方法研究与软件实现[D].北京:中国农业大学,2005.[XIANG Yun.Study on MODIS 1B Data Processing Algorithm and Program[D].Beijing:China Agricultural University,2005.]
[17] REMER L A,KAUFMAN Y J,TANRÉ D,et al.The MODIS Aerosol Algorithm,Products,and Validation[J].Journal of the Atmospheric Sciences,2005,62(4):947-973.
[18] LEVY R C,REMER L A.Second Generation Operational Algorithm:Retrieval of Aerosol Proerties Over Land From Inversion of MODIS Spectral Reflectance[J].Journal of Geophysical Research Atmospheres,2007,112:1-21.
[19] 陈征.CE318太阳光度计基本结构与安装使用[J].陕西气象,2002(5):43-44.[CHEN Zheng.Installation and Using of CE318 Solar Photometer's Basic Structure[J].Journal of Shanxi Meteorology,2002(5):43-44.]
[20] 任宜勇,李霞,吕鸣,等.CE318太阳光度计观测资料应用前景及其解读[J].气象科技,2006,34(3):349-352.[REN Yi-yong,LI Xia,LÜ Ming,et al.Application Prospect of Measurement by Sun Photometer CE318 and Retrieval Methodology[J].Meteorological Science and Technology,2006,34(3):349-352.]
[21] 刘玉杰,牛生杰,郑有飞.用CE-318太阳光度计资料研究银川地区气溶胶光学厚度特性[J].南京气象学院学报,2004,27(5):615-622.[LIU Yu-jie,NIU Sheng-jie,ZHENG You-fei.Optical Depth Characteristics of Yinchuan Atmospheric Aerosols Based on the CE-318 Sun Tracking Spectrophotometer Data[J].Journal of Nanjing Institute of Meteorology,2004,27(5):615-622.]
[22] 张志薇,王宏斌,张镭,等.中国地区3个AERONET站点气溶胶直接辐射强迫分析[J].中国科学院大学学报,2014,31(3):297-305.[ZHANG Zhi-wei,WANG Hong-bin,ZHANG Lei,et al.Aerosol Direct Radiative Forcing at Three AERONET Sites in China[J].Journal of University of Chinese Academy of Sciences,2014,31(3):297-305.]
[23] 买买提依明·买买提,塔西甫拉提·特依拜,买买提沙吾提,等.基于6S模型的遥感数据大气校正应用研究[J].水土保持研究,2011,18(3):15-18.[MUHAMMADEMIN·Muhammad,TASHPOLAT·Tiyip,MAMATSAWUT,et al.Study on Atmospheric Correction of Remote Sensing Data Application Based on 6S Model[J].Research of Soil and Water Conservation,2011,18(3):15-18.]
[24] 卢士庆,陈渭民,高庆先.使用6S模型由GMS5卫星资料反演陆地大气气溶胶光学厚度[J].大气科学学报,2006,29(5):669-675.[LU Shi-qing,CHEN Wei-min,GAO Qing-xian.Using 6S Model to Retrieve Aerosol Optical Depth Above Land From GMS5 Satellite Data[J].Journal of Nanjing Institute of Meteorology,2006,29(5):669-675.]
[25] 王新强,杨世植,朱永豪,等.基于6S模型从MODIS图像反演陆地上空大气气溶胶光学厚度[J].量子电子学报,2003,20(5):629-634.[WANG Xin-qiang,YANG Shi-zhi,ZHU Yong-hao,et al.Aerosol Optical Thickness Retrieval Over Land From MODIS Data Based on the Inversion of the 6S Model[J].Chinese Journal of Quantum Electronics,2003,20(5):629-634.]
[26] 程晨.基于HJ-1卫星的南京气溶胶光学厚度反演和时空变化分析[D].南京:南京信息工程大学,2014.[CHENG Chen.Inversion and Spatial-Temporal Change Analysis of Aerosol Optical Depth in Nanjing Based on HJ-1 Satellite[D].Nanjing:Nanjing University of Information Science & Technology,2014.]
[27] YU H,KAUFMAN Y J,CHIN M,et al.A Review of Measurement-Based Assessments of Aerosol Direct Radiative Effect and Forcing[J].Atmospheric Chemistry and Physics,2006,6(3):613-666.
[28] YU H,FEINGOLD G,REMER L A,et al.Atmospheric Aerosol Properties and Climate Impacts,Chapter 2[J].Usclimate Change Science Program,2009,28:302-307.
[29] 翟天勇.长江三角洲地区大气气溶胶光学厚度长时间序列时空特征分析[D].上海:华东师范大学,2014.[ZHAI Tian-yong.Analysis of Spatio-Temporal Variability of Aerosol Optical Depth in the Changjiang River Delta,China[D].Shanghai:East China Normal University,2014.]
[30] ZHUANG B L,WANG T J,LI S,et al.Optical Properties and Radiative Forcing of Urban Aerosols in Nanjing,China[J].Atmospheric Environment,2014,83:43-52.
[31] 黄观,刘志红,刘伟,等.北疆地区气溶胶光学厚度的时空特征[J].生态与农村环境学报,2015,31(3):286-292.[HUANG Guan,LIU Zhi-hong,LIU Wei,et al.Spatio-Temporal Characteristics of Aerosol Optical Depth in North Xinjiang[J].Journal of Ecology and Rural Environment,2015,31(3):286-292.]
[32] 刘建军.长三角太湖地区云和气溶胶辐射特性的地基遥感研究[D].南京:南京信息工程大学,2012.[LIU Jian-jun.Ground-Based Remote Sensing of Cloud and Aerosol Radiative Properties Over Taihu Area in the Yangtze Delta Region[D].Nanjing:Nanjing University of Information Science & Technology,2012.]
[33] 罗燕,吴涧,王卫国.利用MODIS-GOCART气溶胶资料研究中国东部地区气溶胶直接辐射强迫[J].热带气象学报,2006,22(6):638-647.[LUO Yan,WU Jian,WANG Wei-guo.Study of the Direct Radiative Forcing in East China With MODIS-Gocart Assimilated Aerosol Optical Depth[J].Journal of Tropical Meteorology,2006,22(6):638-647.]