A Remote Sensing Study On Monitoring Of Atmospheric Particulate Matters Pollution Using Ground-based And Satellite Lidar

With the development of industrialization and urbanization in China,the problem of regional environment is becoming more and more prominent,and the fine particulate matter has become one of the most important components of air pollution.Migrate and diffused with air movement,particulate matter is uneven distribution in spatial.Monitoring should go ahead of pollution control.Only genned up enough knowledge of sources and pollution,we can know how to control it.The widely area observation and comparability of remote sensing provide a possible method for regional pollution extraction.Based on the research of ground and satellite borne lidar technology,this paper studies the monitoring methods of air pollution particles in points,surfaces and regions to promote the understanding of air pollution particles.Based on the different characteristics of ground and spaceborne lidar,the difference between those two data were explained first.What?s more,data preprocess methods and inversion algorithms are different too.The characteristics of aerosol extinction profiles were analyzed based on those two databases.On the basis of this,we carried out remote sensing monitoring of atmospheric particulates at three different scales.Firstly,air pollution is a compound result of local sources and external sources.In all sources of pollution,industrial sources are the most harmful to human health.In order to study the relationship between lidar signal and industrial point pollution emission intensity,the maneuverability of lidar used for monitoring the emission of point pollution sources is verified.Through the controlled emission experimental form,the monitoring of the emission of point pollution sources is realized and the pollution source of pollution index factor monitoring point is set up,and the active remote sensing technology is realized to discrimination of pollution intensity.Secondly,the spatial distribution of air pollution is greatly influenced by the pollution source.But the location of those pollution source are scattered and the emission of them is extensive.Only a high spatial resolution remote sensing monitoring can satisfy the location of the pollution source.The horizontal scanning scenario can obtain high resolution spatial distribution of near surface aerosols,without affecting by the surface types.According to the extinction coefficient,the mass concentration distribution of fine particles was estimated after the correction of humidity and particle size.During the extraction of pollution area,the background atmosphere visibility could be used to determine the dynamic threshold of the extinction coefficient,thereby enhancing the extraction of regional pollution characteristics.Finally,consider for the need of vertical correction in the MPRS methods,the error of the exponential distribution is larger when the pollution is gathered at a certain height.An equivalent elevation scheme for the near ground extinction ability is proposed by Gauss distribution fitting.It is proved that the Gauss distribution fitting is not only applicable to the situation of pollution at a certain height,but also to the situation of pollution near the ground.The accuracy of the extinction coefficient in the near ground is improved by the shape information,and the precision of the satellite remote sensing inversion is improved.Degree.The feasibility of the scheme is verified by multi-sensor satellite cooperative observation.This paper focuses on the monitoring of atmospheric particulate pollution by active remote sensing.According to the different monitoring requirements,the monitoring scheme of atmospheric particulate pollution emission at different scale were proposed,in order to receive pollution information of spatial distribution and effect area.