Inversion Of The Optical Thickness Of Aerosol-based HJ-1 Satellite Metropolitan Ribbon City Of Chongqing

With China’s rapid economic development, urbanization, air pollution is becoming increasingly serious. In recent years, air pollution has become the primary particulate pollutants in urban pollution, monitoring atmospheric aerosols has becomedaily monitoring business, but monitoring points based not only does not reflect regional air pollution spatial distribution, and expensive monitoring equipment, and remote sensing technology features make it fast becoming urban air pollution monitoring powerful a means.At present, for aerosol optical thickness inversion method is used widely as a dark element method(DDV), but not high suitability for urban surface highly reflective region, since the algorithm is suitable highly reflective dark blue surface, this study use HJ- 1A / B binding element method like dark blue and aerosol optical depth retrieval algorithm urban functional areas in Chongqing. First, detailing the dark like the difference between theory and dark blue element method algorithm; secondly, each application method and dark blue pixel algorithms and dark blue pixel combining algorithms over the study area AOD inversion, determining the most suitable Anti study area Modeling of the AOD method; Finally, AOD and PM10 measured inversion of the correlation analysis, analysis of the spatial distribution of PM10 district and trends.(1)DDV method of determining judgment, using the CCD camera data added dark-green band of EVI pixel discrimination.(2) Applies only over DDV inversion region when the built-up area of the inversion is not, can not meet the requirements of urban aerosol retrieval; and only when the algorithm dark blue even though it can be the entire region inversion, and the urban population, distributed architecture has a higher consistency, but AOD inversion generally high value, which is not consistent with the actual state; algorithm combined with DDV- Blue Inversion Method, the inversion results more in line with the requirements of urban aerosols inversion actual distribution.(3) The results of CE-318 measured data inversion error analysis, the maximum absolute error is also within the allowable range, proof used herein inversion method is feasible.(4) Analyzing from the spring were analyzed from the spring, summer, autumn, winter aerosol optical thickness values of the four seasons. The results showed that in spring especially in early spring when the aerosol optical thickness higher contrast other seasons; summer monsoon winds away over filled aerosol particles and other air pollution particles, such that movement of the aerosol a marked path change; autumn, since geographical factors of Chongqing, began to gather over a large number of particles of pollutants, visibility is reduced slowly; when entering the winter, especially over the city, often filled with smoke, not high visibility, air quality very poor.(5)The elevation of aerosol retrieval results were revised and revised PM10 humidity linear analysis, R2 of 0.505, good correlation between simulation equations, inversion performed PM10, PM10 has been spatial distribution characteristics.