Spatial-temporal Distribution of Aerosol Optical Depth over Northeastern China During 2000-2019

被引：0
|
作者：
Han Y. [1 ]
Kang L. [1 ]
Song Y. [1 ]
机构：
[1] Department of Environmental Sciences, College of Environmental Science and Engineering, Peking University, Beijing
来源：
Beijing Daxue Xuebao (Ziran Kexue Ban)/Acta Scientiarum Naturalium Universitatis Pekinensis | 2021年 / 57卷 / 06期
关键词：
AOD; MCD19A2; Northeastern China; Spatial-temporal distribution;
D O I：
10.13209/j.0479-8023.2021.084
中图分类号：
学科分类号：
摘要：
Using MCD19A2, a new product of MODIS with high temporal and spatial resolution(daily; 1 km × 1 km), spatial-temporal distribution of aerosol optical depth (AOD) over northeastern China during 2000-2019 were studied and analyzed. The results showed that the average AOD of the northeastern China in recent 20 years is 0.23, and have changed little. 2003 is the year with the highest AOD (0.38), which is mainly affected by spring drought, sand blowing, straw burning and other factors. In terms of spatial distribution, there is a decreasing trend from south to north. Liaoning province is higher than Jilin province and Jilin province is higher than Heilongjiang Province. AOD high-value areas are concentrated in the urban agglomeration of south-central region of Liaoning Province and other areas with dense population and developed industry. Low-value area is distributed in the greater Hinggan Mountains, lesser Hinggan Mountains, Changbai Mountains and other mountainous areas. Seasonal distribution of AOD; Higher in spring and summer, lower in autumn and winter. The results can be used to study the effects of aerosols on the atmospheric radiation balance or to simulate the concentration of particulate matter. © 2021 Peking University.
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页码：1027 / 1034
页数：7
相关论文
共 10 条
  • [1] Dickerson R R, Kondragunta S, Stenchikov G, Et al., The impact of aerosols on solar ultraviolet radiation and photochemical smog, Science, 278, pp. 827-830, (1997)
  • [2] Charlson R J, Langner J, Rodhe H, Et al., Perturbation of the northern hemisphere radiative balance by backscattering from anthropogenic sulfate aerosols, Tellus A: Dynamic Meteorology and Oceanography, 43, 4, pp. 152-163, (1991)
  • [3] Charlson R J, Schwartz S E, Hales J M, Et al., Clima-te forcing by anthropogenic aerosols, Science, 255, pp. 423-430, (1992)
  • [4] Kaufman Y J, Wald A, Remer L A, Et al., Remote sensing of aerosol over the continents with the aid of a 2.2 m channel, IEEE Transactions on Geoscience and Remote Sensing, 35, pp. 1286-1298, (1997)
  • [5] Hsu N C, Tsay S C, King M D, Et al., Aerosol proper-ties over bright-reflecting source regions, IEEE Transactions on Geoscience and Remote Sensing, 42, 3, pp. 557-569, (2004)
  • [6] Sayer A M, Hsu N C, Bettenhausen C, Et al., Validation and uncertainty estimates for MODIS Collection 6 "Deep Blue" aerosol data, Journal of Geophysical Research: Atmospheres, 118, 14, pp. 7864-7872, (2013)
  • [7] Lyapustin A, Wang Y, Laszlo I, Et al., Multiangle implementation of atmospheric correction (MAIAC): 2. Aerosol algorithm, Journal of Geophysical Re-search: Atmospheres, 116, D3, (2011)
  • [8] Lyapustin A I, Wang Y, Laszlo I, Et al., Multi-angle implementation of atmospheric correction for MODIS (MAIAC): 3. Atmospheric correction, Remote Sensing of Environment, 127, pp. 385-393, (2012)
  • [9] Wong M S, Shahzad M I, Nichol J E, Et al., Validation of MODIS, MISR, OMI, and CALIPSO aerosol optical thickness using ground-based sunphotometers in Hong Kong, International Journal of Remote Sensing, 34, 3, pp. 897-918, (2013)
  • [10] Wang Lili, Jin Xin, Wang Qinglu, Et al., Spatial and temporal variability of open biomass burning in Northeast China from 2003 to 2017, Atmospheric and Oceanic Science Letters, 13, 3, pp. 240-247, (2020)
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