利用卫星遥感数据估算PM_(2.5)浓度的应用研究进展
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摘要
近年来,PM_(2.5)已成为中国大气污染的首要污染物,危害人体健康。为弥补地基监测站点在空间分布上的局限性,借助卫星遥感技术估算PM_(2.5)浓度已成为研究热点。文章总结了利用卫星估算PM_(2.5)浓度的各种研究方法,探讨了不同方法的优势和不足,指出不同方法对不同应用目的的选择性差异较大。提出,应针对不同应用目的选择相应的方法,从而取得满足各方面需求的研究成果,为未来PM_(2.5)浓度估算应用工作提供参考。
PM_(2.5)(Fine Particulate Matter) has become the primary air pollution pollutant in China,endangering human health. To make up for the limitations of spatial distribution of ground-based monitoring sites,it has become a research hotspot by using the advantages of remote sensing satellite technology to estimate PM_(2.5) concentrations. The methods for estimating PM_(2.5) are summarized,and the advantages and disadvantages of each method are discussed,also there is a great difference in the selectivity of different application goals. It is suggested that appropriate methods should be selected for different application purpose to meet the needs of various aspects. It provides reference of PM_(2.5) estimation for future.
PM_(2.5)(Fine Particulate Matter) has become the primary air pollution pollutant in China,endangering human health. To make up for the limitations of spatial distribution of ground-based monitoring sites,it has become a research hotspot by using the advantages of remote sensing satellite technology to estimate PM_(2.5) concentrations. The methods for estimating PM_(2.5) are summarized,and the advantages and disadvantages of each method are discussed,also there is a great difference in the selectivity of different application goals. It is suggested that appropriate methods should be selected for different application purpose to meet the needs of various aspects. It provides reference of PM_(2.5) estimation for future.
引文
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[3] SAMET J M,DOMINICI F,CURRIERO F C,et al. Fine particulate air pollution and mortality in 20 U. S. cities,1987—1994[J]. The New England Journal of Medicine,2000,343:1742-1749.
[4]曹守仁，陈秉衡，洪传洁．煤烟污染与健康[M]．北京:中国环境科学出版社，1992:29-31.
[5]孙林．城市地区大气气溶胶遥感反演研究[D]．北京:中国科学院遥感应用研究所，2006.
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[7] DONKELAAR V A,MARTIN R V,BRAUER M,et al. Use of satellite observations for long-term exposure assessment of global concentrations of fine particulate matter[J]. Environmental Health Perspectives,2014,123(2):135.
[8] NAGARAJA R C R,STOWE L L,MCCLAIN E P. Remote sensing of aerosols over the oceans using AVHRR data Theory,practice and applications[J]. International Journal of Remote Sensing,1988,10(4-5):743-749.
[9] HERMAN J R,BHARTIA P K,TORRES O,et al. Global distribution of UV absorbing aerosols from Nimbus 7/TOMS data[J].Journal of Geophysical Research Atmospheres,1997,102(D14):16911-16922.
[10] GORDON H R,WANG M. Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with Sea-WiFS:a preliminary algorithm[J]. Applied Optics,1994,33(3):443-452.
[11] LYAPUSTIN A,WANG Y,LASZLO I,et al. Multiangle implementation of atmospheric correction(MAIAC):2. Aerosol algorithm[J]. Journal of Geophysical Research Atmospheres,2011,116(D3).
[12] MARTONCHIK J V,DINER D J,KAHN R A,et al. Techniques for the retrieval of aerosol properties over land and ocean using multi-angle imaging[J]. IEEE Transactions on Geoscience&Remote Sensing,1998,36(4):1212-1227.
[13] HSU N C,JEONG M J,BETTENHAUSEN C,et al. Enhanced Deep Blue aerosol retrieval algorithm:The second generation[J]. Journal of Geophysical Research:Atmospheres,2013(118):9296-9315.
[14]汪洋．基于VIIRS和AHI数据的陆地气溶胶反演算法研究[D]．北京:中国科学院遥感与数字地球研究所，2018.
[15] LIU,Y,PARK R J,JACOB,D J,et al. Mapping annual mean ground-level PM2. 5concentrations using multiangle imaging spectroradiometer aerosol optical thickness over the contiguous united states[J]. Journal of Geophysical Research Atmospheres,2004,109(22).
[16] DONKELAAR A V,MARTIN R V,PARK R J. Estimating ground-level PM2. 5with aerosol optical depth determined from satellite remote sensing[J]. Journal of Geophysical Research:Atmospheres,2006,111:D21201.
[17] LIU Y,FRANKLIN M,KAHN R,et al. Using aerosol optical thickness to predict ground-level PM2. 5concentrations in the St.Louis area:A comparison between MISR and MODIS[J]. Remote Sensing of Environment,2007,107:33-44.
[18] CHOI Y S,PARK R J,HO C H. Estimates of ground-level aerosol mass concentrations using a chemical transport model with Moderate Resolution Imaging Spectroradiometer(MODIS)aerosol observations over East Asia[J]. Journal of Geophysical Research Atmospheres,2009,114(D4):1-10.
[19] DONKELAAR V A,MARTIN R V,SPURR R J D,et al. Optimal estimation for global ground-level fine particulate matter concentrations[J]. Journal of Geophysical Research Atmospheres,2013,118(11):5621-5636.
[20] LI C C,MAO J T,LAU A K,et al. Application of MODIS aerosol product in the study of air pollution in Beijing[J]. Science in China–Ser. D Earth Science,2005,35:177-186.
[21] WANG Z F,CHEN L F,TAO J H,et al. Satellite-based estimation of regional particulate matter(PM)in Beijing using verticaland-RH correcting method[J]. Remote Sensing of Environment,2010,114(1):50-63.
[22] CHU D A,TSAI T C,CHEN J P,et al. Interpreting aerosol lidar profiles to better estimate surface PM2. 5for columnar AOD measurements[J]. Atmospheric Environment,2013,79:172-187.
[23] LIN C,LI Y,YUAN Z,et al. Using satellite remote sensing data to estimate the high-resolution distribution of ground-level PM2. 5[J]. Remote Sensing of Environment,2015,156:117-128.
[24] ZHANG Y,LI Z. Remote sensing of atmospheric fine particulate matter(PM2. 5)mass concentration near the ground from satellite observation[J]. Remote Sensing of Environment,2015,160:252-262.
[25]李正强，张莹，李凯涛，等．卫星遥感PM2. 5质量浓度的物理方法研究[C]，第十三届全国气溶胶会议，2017.
[26] ZENG QIAO-LIN,LIANGFU CHEN,HAO ZHU,et al. Satellitebased estimation of hourly PM2. 5concentrations using a verticalhumidity correction method from Himawari-AOD in Hebei[J].Sensors,2018,18(10):3456.
[27] WANG J. Intercomparison between satellite-derived aerosol optical thickness and PM2. 5mass:Implications for air quality studies[J]. Geophysical Research Letters,2003,30(21):267-283.
[28] LIU Y,SARNAT J A,KILARU V,et al. Estimating ground-level PM2. 5in the eastern united states using satellite remote sensing[J]. Environmental Science&Technology,2005,39(9):3269-3278.
[29] HUTCHISON K D,FARUQUI S J,SMITH S. Improving correlations between MODIS aerosol optical thickness and ground-based PM2. 5observations through 3D spatial analyses[J]. Atmospheric Environment,2008,42(3):530-543.
[30]张智，白穆，游浩妍．基于MODIS数据的PM2. 5反演在大气污染监测中的应用[J]．测绘科学，2016,41(9):42-46.
[31] YOU W,ZANG Z,PAN X,et al. Estimating PM2. 5in Xi’an,China using aerosol optical depth:A comparison between the MODIS and MISR retrieval models[J]. Science of the Total Environment,2015,505:1156-1165.
[32] LIU Y,PACIOREK C J,KOUTRAKIS P. Estimating regional spatial and temporal variability of PM2. 5concentrations using satellite data,meteorology,and land use information[J]. Environmental Health Perspectives,2009,117(6):886-892.
[33] STRAWA A W,CHATFIELD R B,LEGG M,et al. Improving retrievals of regional fine particulate matter concentrations from Moderate Resolution Imaging Spectroradiometer(MODIS)and Ozone Monitoring Instrument(OMI)multisatellite observations[J]. Journal of the Air&Waste Management Association,2013,63(12):1434-1446.
[34] LEE H J,LIU Y,COULL B A,et al. A novel calibration approach of MODIS AOD data to predict PM2. 5concentrations[J].Atmospheric Chemistry and Physics,2011(11):7991-8002.
[35] HU X,WALLER L A,ALHAMDAN M Z,et al. Estimating ground-level PM2. 5concentrations in the southeastern U. S using geographically weighted regression[J]. Environmental Research,2013,121:1-10.
[36] HU X,WALLER L A,LYAPUSTIN A,et al. Estimating groundlevel PM2. 5concentrations in the Southeastern United States using MAIAC AOD retrievals and a two-stage model[J]. Remote Sensing of Environment,2014,140:220-232.
[37] STAFOGGIA M,SCHWARTZ J,BADALONI C,et al. Estimation of daily PM10concentrations in Italy(2006—2012)using finely resolved satellite data,land use variables and meteorology[J].Environment International,2017,99:234-244.
[38] GUPTA P,CHRISTOPHER S A. Particulate matter air quality assessment using integrated surface,satellite,and meteorological products:2. A neural network approach[J]. Journal of Geophysical Research,2009a,114:D20205.
[39] GUPTA P,CHRISTOPHER S A. Particulate matter air quality assessment using integrated surface,satellite,and meteorological products:Multiple regression approach[J]. Journal of Geophysical Research:Atmospheres,2009b,114(D14).
[40] LI T,SHEN H,YUAN Q,et al. Estimating ground-level PM2. 5by fusing satellite and station observations:A geo-intelligent deep learning approach[J]. Geophysical Research Letters,2017a.
[41] SHEN H,LI T,YUAN Q,et al. Estimating regional ground-level PM2. 5directly from satellite top-of-atmosphere reflectance using deep learning[J]. Atmosphere,2017(9):59-70.
[42] LI T,ZHANG C,SHEN H,et al. Real-time and seamless monitoring of ground-level PM2. 5using satellite remote sensing[C].The ISPRS Technical Commission III midterm Symposium on“Developments,Technologies and Application in Remote Sensing”,2018.
[2] HU Z. Spatial analysis of MODIS aerosol optical depth,PM2. 5,and chronic coronary heart disease[J]. International Journal of Health Geographic,2009,8(1):1-10.
[3] SAMET J M,DOMINICI F,CURRIERO F C,et al. Fine particulate air pollution and mortality in 20 U. S. cities,1987—1994[J]. The New England Journal of Medicine,2000,343:1742-1749.
[4]曹守仁，陈秉衡，洪传洁．煤烟污染与健康[M]．北京:中国环境科学出版社，1992:29-31.
[5]孙林．城市地区大气气溶胶遥感反演研究[D]．北京:中国科学院遥感应用研究所，2006.
[6] DONKELAAR A V,MARTIN R V,BRAUER M,et al. Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth:development and application[J]. Environmental Health Perspectives,2010,118(6):847-855.
[7] DONKELAAR V A,MARTIN R V,BRAUER M,et al. Use of satellite observations for long-term exposure assessment of global concentrations of fine particulate matter[J]. Environmental Health Perspectives,2014,123(2):135.
[8] NAGARAJA R C R,STOWE L L,MCCLAIN E P. Remote sensing of aerosols over the oceans using AVHRR data Theory,practice and applications[J]. International Journal of Remote Sensing,1988,10(4-5):743-749.
[9] HERMAN J R,BHARTIA P K,TORRES O,et al. Global distribution of UV absorbing aerosols from Nimbus 7/TOMS data[J].Journal of Geophysical Research Atmospheres,1997,102(D14):16911-16922.
[10] GORDON H R,WANG M. Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with Sea-WiFS:a preliminary algorithm[J]. Applied Optics,1994,33(3):443-452.
[11] LYAPUSTIN A,WANG Y,LASZLO I,et al. Multiangle implementation of atmospheric correction(MAIAC):2. Aerosol algorithm[J]. Journal of Geophysical Research Atmospheres,2011,116(D3).
[12] MARTONCHIK J V,DINER D J,KAHN R A,et al. Techniques for the retrieval of aerosol properties over land and ocean using multi-angle imaging[J]. IEEE Transactions on Geoscience&Remote Sensing,1998,36(4):1212-1227.
[13] HSU N C,JEONG M J,BETTENHAUSEN C,et al. Enhanced Deep Blue aerosol retrieval algorithm:The second generation[J]. Journal of Geophysical Research:Atmospheres,2013(118):9296-9315.
[14]汪洋．基于VIIRS和AHI数据的陆地气溶胶反演算法研究[D]．北京:中国科学院遥感与数字地球研究所，2018.
[15] LIU,Y,PARK R J,JACOB,D J,et al. Mapping annual mean ground-level PM2. 5concentrations using multiangle imaging spectroradiometer aerosol optical thickness over the contiguous united states[J]. Journal of Geophysical Research Atmospheres,2004,109(22).
[16] DONKELAAR A V,MARTIN R V,PARK R J. Estimating ground-level PM2. 5with aerosol optical depth determined from satellite remote sensing[J]. Journal of Geophysical Research:Atmospheres,2006,111:D21201.
[17] LIU Y,FRANKLIN M,KAHN R,et al. Using aerosol optical thickness to predict ground-level PM2. 5concentrations in the St.Louis area:A comparison between MISR and MODIS[J]. Remote Sensing of Environment,2007,107:33-44.
[18] CHOI Y S,PARK R J,HO C H. Estimates of ground-level aerosol mass concentrations using a chemical transport model with Moderate Resolution Imaging Spectroradiometer(MODIS)aerosol observations over East Asia[J]. Journal of Geophysical Research Atmospheres,2009,114(D4):1-10.
[19] DONKELAAR V A,MARTIN R V,SPURR R J D,et al. Optimal estimation for global ground-level fine particulate matter concentrations[J]. Journal of Geophysical Research Atmospheres,2013,118(11):5621-5636.
[20] LI C C,MAO J T,LAU A K,et al. Application of MODIS aerosol product in the study of air pollution in Beijing[J]. Science in China–Ser. D Earth Science,2005,35:177-186.
[21] WANG Z F,CHEN L F,TAO J H,et al. Satellite-based estimation of regional particulate matter(PM)in Beijing using verticaland-RH correcting method[J]. Remote Sensing of Environment,2010,114(1):50-63.
[22] CHU D A,TSAI T C,CHEN J P,et al. Interpreting aerosol lidar profiles to better estimate surface PM2. 5for columnar AOD measurements[J]. Atmospheric Environment,2013,79:172-187.
[23] LIN C,LI Y,YUAN Z,et al. Using satellite remote sensing data to estimate the high-resolution distribution of ground-level PM2. 5[J]. Remote Sensing of Environment,2015,156:117-128.
[24] ZHANG Y,LI Z. Remote sensing of atmospheric fine particulate matter(PM2. 5)mass concentration near the ground from satellite observation[J]. Remote Sensing of Environment,2015,160:252-262.
[25]李正强，张莹，李凯涛，等．卫星遥感PM2. 5质量浓度的物理方法研究[C]，第十三届全国气溶胶会议，2017.
[26] ZENG QIAO-LIN,LIANGFU CHEN,HAO ZHU,et al. Satellitebased estimation of hourly PM2. 5concentrations using a verticalhumidity correction method from Himawari-AOD in Hebei[J].Sensors,2018,18(10):3456.
[27] WANG J. Intercomparison between satellite-derived aerosol optical thickness and PM2. 5mass:Implications for air quality studies[J]. Geophysical Research Letters,2003,30(21):267-283.
[28] LIU Y,SARNAT J A,KILARU V,et al. Estimating ground-level PM2. 5in the eastern united states using satellite remote sensing[J]. Environmental Science&Technology,2005,39(9):3269-3278.
[29] HUTCHISON K D,FARUQUI S J,SMITH S. Improving correlations between MODIS aerosol optical thickness and ground-based PM2. 5observations through 3D spatial analyses[J]. Atmospheric Environment,2008,42(3):530-543.
[30]张智，白穆，游浩妍．基于MODIS数据的PM2. 5反演在大气污染监测中的应用[J]．测绘科学，2016,41(9):42-46.
[31] YOU W,ZANG Z,PAN X,et al. Estimating PM2. 5in Xi’an,China using aerosol optical depth:A comparison between the MODIS and MISR retrieval models[J]. Science of the Total Environment,2015,505:1156-1165.
[32] LIU Y,PACIOREK C J,KOUTRAKIS P. Estimating regional spatial and temporal variability of PM2. 5concentrations using satellite data,meteorology,and land use information[J]. Environmental Health Perspectives,2009,117(6):886-892.
[33] STRAWA A W,CHATFIELD R B,LEGG M,et al. Improving retrievals of regional fine particulate matter concentrations from Moderate Resolution Imaging Spectroradiometer(MODIS)and Ozone Monitoring Instrument(OMI)multisatellite observations[J]. Journal of the Air&Waste Management Association,2013,63(12):1434-1446.
[34] LEE H J,LIU Y,COULL B A,et al. A novel calibration approach of MODIS AOD data to predict PM2. 5concentrations[J].Atmospheric Chemistry and Physics,2011(11):7991-8002.
[35] HU X,WALLER L A,ALHAMDAN M Z,et al. Estimating ground-level PM2. 5concentrations in the southeastern U. S using geographically weighted regression[J]. Environmental Research,2013,121:1-10.
[36] HU X,WALLER L A,LYAPUSTIN A,et al. Estimating groundlevel PM2. 5concentrations in the Southeastern United States using MAIAC AOD retrievals and a two-stage model[J]. Remote Sensing of Environment,2014,140:220-232.
[37] STAFOGGIA M,SCHWARTZ J,BADALONI C,et al. Estimation of daily PM10concentrations in Italy(2006—2012)using finely resolved satellite data,land use variables and meteorology[J].Environment International,2017,99:234-244.
[38] GUPTA P,CHRISTOPHER S A. Particulate matter air quality assessment using integrated surface,satellite,and meteorological products:2. A neural network approach[J]. Journal of Geophysical Research,2009a,114:D20205.
[39] GUPTA P,CHRISTOPHER S A. Particulate matter air quality assessment using integrated surface,satellite,and meteorological products:Multiple regression approach[J]. Journal of Geophysical Research:Atmospheres,2009b,114(D14).
[40] LI T,SHEN H,YUAN Q,et al. Estimating ground-level PM2. 5by fusing satellite and station observations:A geo-intelligent deep learning approach[J]. Geophysical Research Letters,2017a.
[41] SHEN H,LI T,YUAN Q,et al. Estimating regional ground-level PM2. 5directly from satellite top-of-atmosphere reflectance using deep learning[J]. Atmosphere,2017(9):59-70.
[42] LI T,ZHANG C,SHEN H,et al. Real-time and seamless monitoring of ground-level PM2. 5using satellite remote sensing[C].The ISPRS Technical Commission III midterm Symposium on“Developments,Technologies and Application in Remote Sensing”,2018.
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