سابِق|تال

Study of aerosol optical properties based on the AERONET data

  • role： First author第一作者
  • Affiliation：

    Institute of geography, Fujian Normal University, Fuzhou 350007, China

    College of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China

  • Email：zhoupei915@163.com
  • Introduction：周佩，研究方向为大气气溶胶。E-mail： zhoupei915@163.com
ZHOU Pei12,  
  • role： Corresponding author通信作者
  • Affiliation：

    Institute of geography, Fujian Normal University, Fuzhou 350007, China

    College of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China

    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

  • Email：Wangyang@fjnu.edu.cn
  • Introduction：汪洋，研究方向为大气遥感与大气污染监测。E-mail： Wangyang@fjnu.edu.cn
WANG Yang123*,  
  • Affiliation：

    Institute of geography, Fujian Normal University, Fuzhou 350007, China

    College of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China

XU Linglin12,  
  • Affiliation：

    Institute of geography, Fujian Normal University, Fuzhou 350007, China

    College of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China

CHENG Zhiqiang12,  
  • Affiliation：

    Institute of geography, Fujian Normal University, Fuzhou 350007, China

    College of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China

GE Chende12,  
  • Affiliation：

    Institute of geography, Fujian Normal University, Fuzhou 350007, China

    College of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China

ZHUANG Liuwen12

ملخص

The study of atmospheric aerosols lays the foundation of global climate change, air quality, and public health research. Different from those in the Chinese mainland, the special atmospheric circulation and local emission sources in Taiwan, china from its seagirt terrain have led to the difference in aerosols’ characteristics. Lack of information on aerosol temporal and spatial characteristics might cause errors in the retrieval of satellite aerosol parameters.On the basis of the historical data of several representative Aerosol Robotic NETwork (AERONET) sites in Taiwan, this study explored the temporal and spatial variation characteristics and differences of aerosol parameters and types of typical sites in Taiwan, China. First, the change trend of aerosol optical parameters was analyzed. The observation sample points of AERONET were divided into six categories, namely, maritime, continental, desert dust, sub-continental, urban industry, and biomass burning aerosols, using the graphical classification method. The differences in aerosol types at different sites and the effects of wind direction and speed on Aerosol Optical Depth (AOD) and aerosol types were explored, and they were comparing with the aerosol optical parameters of Beijing. Second, the MODIS data were validated against the AERONET data.The annual average of AOD at each station is decreasing annually, which suggests the highest seasonal variation in spring (0.5257) and the diurnal variation of bimodal structure. The dominant aerosol type is urban industrial, and only Lulin station is maritime type. The northeast wind prevails in Taiwan, China, and the AOD is lower and the maritime aerosol type occupies larger proportion when the wind speed is higher. Conversely, urban industrial aerosols dominate. The average values of Ångström Exponent, Single Scattering Albedo, Refractive Index-Imaginary Part, and Asymmetry Factor are 1.3283, 0.9564, 0.0054, and 0.7292, respectively. Compared with those in the Beijing site (39.9768°N, 116.3813°E), the annual average of AOD, seasonal variation, and dominant aerosol types in the “Central University” shows a dramatic difference. For the remote retrieval products, MODIS AOD has higher verification accuracy at different sites, and only the Lulin site is slightly lower (R2=0.5925). As for the verification results of different aerosol types, urban industry (R2=0.7238), biomass burning (R2=0.6161), and sub-continental (R2=0.5116) have higher accuracy, while maritime (R2=0.1585) and continental (R2=0.1111) have significantly lower accuracy.The types of aerosols in Taiwan, China show differences in temporal and spatial characteristics. The proportion of sub-continental types in the southwest coastal sites increases in autumn and winter, while the continental types in the northwest coast increase. Refining the characteristic changes of aerosol parameters plays an important role in guiding the aerosol satellite retrieval algorithm for island regions with distinct features of circulation.

مفهوم

atmospheric remote sensing;aerosol;AERONET;Aerosol Optical Properties;temporal and spatial analysis

References

  1. 1.
    Ångström A. 1929. On the atmospheric transmission of sun radiation and on dust in the air. Geografiska Annaler, 11(2): 156-166
  2. 2.
    Bilal M, Nichol J E and Wang L C. 2017. New customized methods for improvement of the MODIS C6 Dark Target and Deep Blue merged aerosol product. Remote Sensing of Environment, 197: 115-124
  3. 3.
    Chan K L and Chan K L. 2017. Aerosol optical depths and their contributing sources in Taiwan. Atmospheric Environment, 148: 364-375
  4. 4.
    Che H Z, Zhang X Y, Chen H B, Damiri B, Goloub P, Li Z Q, Zhang X C, Wei Y, Zhou H G, Dong F, Li D P and Zhou T M. 2009. Instrument calibration and aerosol optical depth validation of the China Aerosol Remote Sensing Network. Journal of Geophysical Research: Atmospheres, 114(D3): D03206
  5. 5.
    Chen Q X, Shen W X, Yuan Y and Tan H P. 2019. Verification of aerosol classification methods through satellite and ground-based measurements over Harbin, Northeast China. Atmospheric Research, 216: 167-175
  6. 6.
    Chen Q X, Yuan Y, Huang X, He Z H and Tan H P. 2018. Assessment of column aerosol optical properties using ground-based sun-photometer at urban Harbin, Northeast China. Journal of Environmental Sciences, 74: 50-57
  7. 7.
    Chen Q X, Yuan Y, Huang X, Jiang Y Q and Tan H P. 2017. Estimation of surface-level PM2.5 concentration using aerosol optical thickness through aerosol type analysis method. Atmospheric Environment, 159: 26-33
  8. 8.
    Chen Q X, Yuan Y, Shuai Y and Tan H P. 2016. Graphical aerosol classification method using aerosol relative optical depth. Atmospheric Environment, 135: 84-91
  9. 9.
    Chen W N, Chen Y W, Chou C C K, Chang S Y, Lin P H and Chen J P. 2009. Columnar optical properties of tropospheric aerosol by combined lidar and sunphotometer measurements at Taipei, Taiwan. Atmospheric Environment, 43(17): 2700-2708
  10. 10.
    Dai Y F, Zhang G H and Wei X. 2018. Overview of the use of AERONET site data in China. Science and Technology Innovation Herald, 15(6): 153-156
  11. 11.
    Eck T F, Holben B N, Dubovik O, Smirnov A, Goloub P, Chen H B, Chatenet B, Gomes L, Zhang X Y, Tsay S C, Ji Q, Giles D and Slutsker I. 2005. Columnar aerosol optical properties at AERONET sites in central eastern Asia and aerosol transport to the tropical mid-Pacific. Journal of Geophysical Research: Atmospheres, 110(D6): D06202
  12. 12.
    Eck T F, Holben B N, Reid J S, Dubovik O, Smirnov A, O’Neill N T, Slutsker I and Kinne S. 1999. Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols. Journal of Geophysical Research: Atmospheres, 104(D24): 31333-31349
  13. 13.
    Ehn M, Thornton J A, Kleist E, Sipilä M, Junninen H, Pullinen I, Springer M, Rubach F, Tillmann R, Lee B, Lopez-Hilfiker F, Andres S, Acir I H, Rissanen M, Jokinen T, Schobesberger S, Kangasluoma J, Kontkanen J, Nieminen T, Kurtén T, Nielsen L B, Jørgensen S, Kjaergaard H G, Canagaratna M, Dal Maso M, Berndt T, Petäjä T, Wahner A, Kerminen V M, Kulmala M, Worsnop D R, Wildt J and Mentel T F. 2014. A large source of low-volatility secondary organic aerosol. Nature, 506(7489): 476-479
  14. 14.
    He Q S, Li C C, Geng F H, Yang H Q, Li P R, Li T T, Liu D W and Pei Z. 2012. Aerosol optical properties retrieved from Sun photometer measurements over Shanghai, China. Journal of Geophysical Research: Atmospheres, 117(D16): D16204
  15. 15.
    He X, Zhou R, Yao Y, Shen Z X and Zhu J. 2020. The spatiotemporal variations of aerosol types in representative sites of China basing on the Aerosol Robotic Network (AERONET). China Environmental Science, 40(2): 485-496
  16. 16.
    Holben B N, Eck T F, Slutsker I, Tanré D, Buis J P, Setzer A, Vermote E, Reagan J A, Kaufman Y J, Nakajima T, Lavenu F, Jankowiak I and Smirnov A. 1998. AERONET-A federated instrument network and data archive for aerosol characterization. Remote Sensing of Environment, 66(1): 1-16
  17. 17.
    Holben B N, Tanré D, Smirnov A, Eck T F, Slutsker I, Abuhassan N, Newcomb W W, Schafer J S, Chatenet B, Lavenu F, Kaufman Y J, Castle J V, Setzer A, Markham B, Clark D, Frouin R, Halthore R, Karneli A, O’neill N T, Pietras C, Pinker R T, Voss K and Zibordi G. 2001. An emerging ground-based aerosol climatology: aerosol optical depth from AERONET. Journal of Geophysical Research: Atmospheres, 106(D11): 12067-12097
  18. 18.
    Hsu N C, Jeong M J, Bettenhausen C, Sayer A M, Hansell R, Seftor C S, Huang J and Tsay S C. 2013. Enhanced Deep Blue aerosol retrieval algorithm: the second generation. Journal of Geophysical Research: Atmospheres, 118(16): 9296-9315
  19. 19.
    Hsu N C, Tsay S C, King M D and Herman J R. 2004. Aerosol properties over bright-reflecting source regions. IEEE Transactions on Geoscience and Remote Sensing, 42(3): 557-569
  20. 20.
    Hsu N C, Tsay S C, King M D and Herman J R. 2006. Deep blue retrievals of asian aerosol properties during ACE-asia. IEEE Transactions on Geoscience and Remote Sensing, 44(11): 3180-3195
  21. 21.
    Ichoku C, Chu D A, Mattoo S, Kaufman Y J, Remer L A, Tanré D, Slutsker I and Holben B N. 2002. A spatio-temporal approach for global validation and analysis of MODIS aerosol products. Geophysical Research Letters, 29(12): 1616
  22. 22.
    Jia L L, Wang X Q, Su H and Wang F. 2018. Validation of retrieving aerosol over Taiwan Island using GF-1 satellite WFV data. Acta Scientiae Circumstantiae, 38(3): 1117-1127
  23. 23.
    Jin S K, Ma Y Y, Zhang M, Gong W, Lei L F and Ma X. 2019. Comparation of aerosol optical properties and associated radiative effects of air pollution events between summer and winter: a case study in January and July 2014 over Wuhan, Central China. Atmospheric Environment, 218: 117004
  24. 24.
    Kalnay E, Kanamitsu M, Kistler R, Collins W, Deaven D, Gandin L, Iredell M, Saha S, White G, Woollen J, Zhu Y, Chelliah M, Ebisuzaki W, Higgins W, Janowiak J, Mo K C, Ropelewski C, Wang J, Leetmaa A, Reynolds R, Jenne R and Joseph D. 1996. The NCEP/NCAR 40-year reanalysis project. Bulletin of the American Meteorological Society, 77(3): 437-472
  25. 25.
    Kaufman Y J, Herring D D, Ranson K J and Collatz G J. 1998. Earth observing system AM1 mission to earth. IEEE Transactions on Geoscience and Remote Sensing, 36(4): 1045-1055
  26. 26.
    Kaufman Y J, Wald A E, Remer L A, Gao B C, Li R R and Flynn L. 1997. The MODIS 2.1-μm channel-correlation with visible reflectance for use in remote sensing of aerosol. IEEE Transactions on Geoscience and Remote Sensing, 35(5): 1286-1298
  27. 27.
    King M D, Kaufman Y J, Menzel W P and Tanre D. 1992. Remote sensing of cloud, aerosol, and water vapor properties from the moderate resolution imaging spectrometer (MODIS). IEEE Transactions on Geoscience and Remote Sensing, 30(1): 2-27
  28. 28.
    Kishcha P, Wang S H, Lin N H, da Silva A, Lin T H, Lin P H, Liu G R, Starobinets B and Alpert P. 2018. Differentiating between local and remote pollution over Taiwan. Aerosol and Air Quality Research, 18(7): 1788-1798
  29. 29.
    Kumar K R, Sivakumar V, Reddy R R, Gopal K R and Adesina A J. 2014. Identification and classification of different aerosol types over a subtropical rural site in mpumalanga, south africa: seasonal variations as retrieved from the AERONET sunphotometer. Aerosol and Air Quality Research, 14(1): 108-123
  30. 30.
    Levy R C, Mattoo S, Munchak L A, Remer L A, Sayer A M, Patadia F and Hsu N C. 2013. The Collection 6 MODIS aerosol products over land and ocean. Atmospheric Measurement Techniques, 6(11): 2989-3034
  31. 31.
    Li Z Q, Li D H, Li K T, Xu H, Chen X F, Chen C, Xie Y S, Li L, Li L, Li W, Lv Y, Qie L L, Zhang Y and Gu X F. 2015. Sun-sky radiometer observation network with the extension of multi-wavelength polarization measurements. Journal of Remote Sensing, 19(3): 495-519
  32. 32.
    Mao Q J, Zhang H X, Chen Q X, Huang C L and Yuan Y. 2019. Satellite-based assessment of direct aerosol radiative forcing using a look-up table established through AERONET observations. Infrared Physics and Technology, 102: 103017
  33. 33.
    Parkinson C L. 2003. Aqua: an Earth-Observing Satellite mission to examine water and other climate variables. IEEE Transactions on Geoscience and Remote Sensing, 41(2): 173-183
  34. 34.
    Qi B, Du R G, Yu Z F and Zhou B. 2014. Aerosol optical depth in urban site of Hangzhou. China Environmental Science, 34(3): 588-595
  35. 35.
    Rao J W, Ma R H, Duan H T, Jiang G J, Shang L L and Zhou L. 2012. Aerosol optical thickness of the atmospheric aerosol over taihu lake and its features: results of in-site measurements. Chinese Journal of Environmental Science, 33(7): 2158-2164
  36. 36.
    Rosenfeld D, Andreae M O, Asmi A, Chin M, de Leeuw G, Donovan D P, Kahn R, Kinne S, Kivekäs N, Kulmala M, Lau W, Schmidt K S, Suni T, Wagner T, Wild M and Quaas J. 2014. Global observations of aerosol-cloud-precipitation-climate interactions. Reviews of Geophysics, 52(4): 750-808
  37. 37.
    Si Y D, Chen L F, Xiong X Z, Shi S Y, Husi L and Cai K. 2020. Evaluation of the MISR fine resolution aerosol product using MODIS, MISR, and ground observations over China. Atmospheric Environment, 223: 117229
  38. 38.
    Smirnov A, Holben B N, Eck T F, Dubovik O and Slutsker I. 2000. Cloud-screening and quality control algorithms for the AERONET database. Remote Sensing of Environment, 73(3): 337-349
  39. 39.
    Tanré D, Kaufman Y J, Herman M and Mattoo S. 1997. Remote sensing of aerosol properties over oceans using the MODIS/EOS spectral radiances. Journal of Geophysical Research: Atmospheres, 102(D14): 16971-16988
  40. 40.
    Wai K M, Ng E Y Y, Wong C M S, Tan T Z, Lin T H, Lien W H, Tanner P A, Wang C S H, Lau K K L, He N M H and Kim J. 2017. Aerosol pollution and its potential impacts on outdoor human thermal sensation: East Asian perspectives. Environmental Research, 158: 753-758
  41. 41.
    Wang F, Wang X Q and Ding Y. 2020. Retrieval of aerosol optical depth over taiwan island using visible channels of sentinel-3A OLCI. Journal of Geo-Information Science, 22(10): 2038-2050
  42. 42.
    Wang H B, Zhang L, Jiao S M, Zhang Z W, Zhu Y Y and Zhu C Y. 2016. Evaluation of the MODIS aerosol products and analysis of the retrieval errors in China. Plateau Meteorology, 35(3): 810-822
  43. 43.
    Wang S H, Lei H W, Pani S K, Huang H Y, Lin N H, Welton E J, Chang S C and Wang Y C. 2020a. Determination of lidar ratio for major aerosol types over western north pacific based on long-term MPLNET data. Remote Sensing, 12(17): 2769
  44. 44.
    Wang X Q, Wang F, Jia L L and Ding Y. 2020b. Retrieval and validation of aerosol optical depth using GF-1 WFV cameras data. Advances in Space Research, 65(3): 997-1007
  45. 45.
    Wang Y, Xia W W, Liu X H, Xie S C, Lin W Y, Tang Q, Ma H Y, Jiang Y Q, Wang B and Zhang G J. 2021. Disproportionate control on aerosol burden by light rain. Nature Geoscience, 14(2): 72-76
  46. 46.
    Wang Y S, Xin J Y, Li Z Q, Wang P C, Wang S G, Wen T X and Sun Y. 2006. AOD and Ångström parameters of aerosols observed by the chinese sun hazemeter network from August to December 2004. Chinese Journal of Environmental Science, 27(9): 1703-1711
  47. 47.
    Wei J, Li Z Q, Peng Y R and Sun L. 2019. MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison. Atmospheric Environment, 201: 428-440
  48. 48.
    Xiao C G. 2008. An overview of climate change of Taiwan in the last hundred years // Proseminar of meteorological science and technology between both sides of Taiwan Straits. Beijing: Chinese Meteorological Society, 2008.
  49. 49.
    Xin J Y, Wang Y S, Li Z Q, Wang P C, Hao W M, Nordgren B L, Wang S G, Liu G R, Wang L L, Wen T X, Sun Y and Hu B. 2007. Aerosol optical depth (AOD) and Ångström exponent of aerosols observed by the Chinese Sun Hazemeter Network from August 2004 to September 2005. Journal of Geophysical Research: Atmospheres, 112(D5): D05203
  50. 50.
    Xu L, Liu Z M and Shi G Y. 1997.Measurement and analysis of atmospheric aerosol optical characteristics in Taiwan area. Journal of Applied Meteorology Science, 8(2): 252-253
  51. 51.
    Yan L B and Liu X D. 2009. Seasonal variation of atmospheric aerosol and its relation to cloud faction over Beijing-Tianjin-Hebei region. Research of Environmental Sciences, 22(8): 924-931
  52. 52.
    Zhang Z, Ding J L, Wang J J, Chen X Y, Liu X T and Osman A. 2021. Temporal and spatial distribution characteristics of aerosol optical properties in urban agglomerations on the North Slope of the Tianshan mountains. Environmental Science, 42(5): 2202-2212
  53. 53.
    Zhao P S, Dong F, He D, Zhao X J, Zhang X L, Zhang W Z, Yao Q and Liu H Y. 2013. Characteristics of concentrations and chemical compositions for PM2.5 in the region of Beijing, Tianjin, and Hebei, China. Atmospheric Chemistry and Physics, 13(9): 4631-4644
  54. 54.
    Zhao Y and Sun X J. 2016. Analysis and research on aerosoloptical depth in Taiwan based on MODIS and sun photometers. Meteorological, Hydrological and Marine Instruments, 33(1): 37-45

قراءة النص الكامل

The above content is generated by Large Model Translation. The translated content is for reference only. We do not assume any commercial or legal responsibilty for any consequences arising from the use of our website