Abstract
Shenyang city is selected as the research area in this paper. The MODIS remote sensing image shot in a sunny day in 2016 is selected as the sample data of the research area. Taking ENVI 5.3.1 as the platform, combining with the lookup table built by IDL 6S radiation transfer model with DDV algorithm, the inversion on the aerosol optical depth in Shenyang is performed, so as to obtain the distribution diagram of aerosol optical depth (AOD) of 1 km resolution ratio in Shenyang and make the analysis; the aerosol scale height correction is made for AOD, the humidity correction is made for PM2.5 concentration on the ground, the inversion model of PM2.5 concentration is built after the correlation analysis, the best inversion model is selected through the comparison of root-mean-square error and average relative error, so as to perform the inversion on PM2.5 concentration in Shenyang in 2016, and further analyze the regional atmospheric pollution and provide a kind of effective means.
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References
Fan, C.: Relationships research on aerosol optical depth and PM2.5 concentration based on MODIS data. Shandong University of Science and Technology, Jinan (2014)
Chen, H., et al.: Method research on PM2.5 near ground of Beijing-Tianjin-Hebei region by utilizing MODIS data monitoring. J. Meteorol. Environ. 30(5), 27–37 (2014)
Hu, Y.: Correlation analysis on modis aerosol optical depth and PM2.5 concentration-taking Beijing as an example. Beijing University of Civil Engineering and Architecture, Beijing (2015)
Donkelaar, A.V., Martin, R.V.: Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: development and application. Environ. Health Perspect. 118(6), 847–855 (2010)
Mao, J., Li, C., Zhang, J., Liu, X., Liu, Q.: Comparison between aerosol optical depth with MODIS satellite remote sensing in Beijing region and ground sun-photometer observation remote sensing. J. Appl. Meteorol. Sci. 13(U01), 127–135 (2002)
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Xin, W., Hua, D., Yumei, L. (2019). Research on PM2.5 Concentration in Shenyang Based on MODIS Data. In: Xie, Y., Zhang, A., Liu, H., Feng, L. (eds) Geo-informatics in Sustainable Ecosystem and Society. GSES 2018. Communications in Computer and Information Science, vol 980. Springer, Singapore. https://doi.org/10.1007/978-981-13-7025-0_33
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DOI: https://doi.org/10.1007/978-981-13-7025-0_33
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