Study On The Retrieval Of Aerosol Optical Thickness Based On MODIS Data And HJ Satellite

In recent years, the research and control of air quality pollution has been paid more attention to. In this paper, as the atmospheric environmental quality should be high resolution, large range, real-time monitoring, using the classic dark pixel method for retrieval of aerosol optical thickness on 2013 MODIS, HJ data. To verify the accuracy of the inversion results of observation data in 2013 and the AERONET website, the research and analysis of relevant content. Aerosol types considering the aerosol model greatly depends on the aerosol source relates to the composition and the surrounding area, so this will be the special geographical location, climatic conditions involved in Nanning city located in the northern Bay area into consideration. According to the correlation of AOD and PM on the previous ground monitoring data, are also presented in this paper for aerosol optical thickness inversion value and PM value of the fitting model. In order to predict the aerosol optical thickness value based on the study of aerosol optical thickness and surface of the predecessors, this paper will be in 2013, Nanning land cover data(LUCC), digital elevation data(DEM) analysis and retrieval of aerosol optical thickness 2011-2013 HJ values, different seasons of different land use in aerosol optical thickness at different elevation types, value change.For the MODIS data by the clouds interference characteristics, using the band combination and the cloud mask algorithm data preprocessing. The HJ data were used to analyze the data for each pixel in the geometric parameters of the calculation method. The inversion results with the AERONET(Aerosol Robotic Network) published on the website of the 2013 Bac_Giang(Bei Jiang), MuKdahan(Mu Dahan) and Hongkong_poly(Hongkong) results to verify the accuracy of the Aerosol Observation station. By contrast, the inversion results can meet the requirement of the research. The MODIS inversion results with correlation coefficient of 0.626, the correlation coefficient of 0.764 for HJ satellite. And the retrieval precision of HJ satellite MODIS data to improve the accuracy of the inversion results is 10.45%.Because of its special geographical position and the relationship between affected by climate, different season with different aerosol model inversion. The continental aerosol model inversion: Published by the North Bay in spring, autumn, winter aerosol optical thickness and on the AERONET web site has more similarity with good results. The marine aerosol model inversion of the Beibu Gulf in summer aerosol optical thickness and AERONET published on the website of the results can be better. Using the aerosol model of Nanning City in 2004, 2006, 2008, 2010 seasonal inversion. As can be seen, since 2006, the high value of aerosol optical thickness of moving to the southeast, and in 2010 2008, has spread to the surrounding.To achieve the monitoring of air quality, a wide range of PM content by remote sensing. By monitoring the MODIS inversion results of 10 months in 2013 and Nanning station monitoring data analysis,ng the MODIS inversion results of 10 months in 2013 and Nanning station monitoring data analysis,results of 10 months in 2013 and Nanning station monitoring data analysis,The relationship between AOD and PM2.5: more than AOD and PM10; For AOD and PM2.5 in summer, autumn two season, fitting a two function better, the spring is suitable for winter use of logarithm function, linear function fitting; for AOD and PM10, spring, autumn, winter three season are suitable for one of the two function fitting, and the summer for the logarithmic function fitting.Research shows that: in the spring of agricultural land and urban aerosol is higher, the aerosol was low; high temperature in summer, the aerosol optical thickness value of the overall decline in autumn; urban aerosol thickness value is still high, agricultural aerosol thickness increased significantly; in winter, the urban aerosol optical thickness and the agricultural land increased significantly. From the analysis, the elevation and the aerosol optical thickness showed negative correlation, the aerosol optical depth decreases with the increase of elevation. Looked from the overall, aerosol optical thickness is higher than the value of plain area in hilly areas, this is because of its plain area open easy diffusion of aerosol, but plain area distribution of cities and towns, so that the influence of the source by sol, 123 m aerosol were significantly higher than that of other terrain. In the spring of aerosol optical thickness value relative to other seasons with elevation changes a lot, the summer due to the high value area of aerosol effects, 327 m and 486 m in autumn, winter is relatively high, but the high value lower than the spring. The fall of aerosol optical thickness values increased with elevation value decreases, the aerosol optical thickness from 0 to 123 m, the value at the higher reaches more than 1, in the 123 m and 208 m values decreased significantly in aerosol. The high value area of the overall thickness of aerosol in winter than in autumn and autumn decline trend, the overall similarity, with the elevation value increases. Aerosol optical thickness more than 486 m height decreases faster than fall quickly.