Study On Sand And Dust Storms Monitoring And Early Warning

In recent years, large scale of sand and dust storms have continuously taken place in the north of China, which made a bad impact on traffic, environment and people's normal life, especially made people's casualty in few area. Moreover, with the fast improvement of citified level and fast development of traffic and civil aviation, the loss made by the same sand and dust weather largely increased. The problem of sand and dust storms becomes the focus greatly concerned by the world, so it is very urgent and important to research the technology of sand and dust storms monitoring and early warning.The definition and characters of sand and dust storms are generally described at first in the paper. Then, the environment database of desertification-affected area including the main areas of its occurrence, development and affected, and the database of geography, climate, natural resources and people activities in typical area are build, which lay a foundation on sand and dust storms monitoring and early warning.The principal of its occurrence, development and damage are discussed based on multi-sources information such as spot data, tiros and resource satellites etc.. And then the models of its occurrence, movement and action are established. Therefore, the standard and criterion of remote sensing image processing and character classifying are put forward. Moreover, the techniques of sand and dust storms information extracting, assimilation of its monitoring standard, intensity demarcation. At last, weather from floating, dust to normal and violent dust storms is accurately identified.Based on the fact that sand and dust information from remote sensing processing mainly show its distributing status on the vertical direction, the relation between the information on the vertical direction and horizontal visibility on the ground is established. And the monitoring technique of sand and dust density is also discussed in the paper. The remote sensing resources and the ground observation data in two years are used to compare with and analyze. And then the calculated assimilation index of sand and dust distribution is used as density index of its vertical distribution to make regression analysis with horizontal visibility. The results indicate that the remote sensing resource can be used to exactly show the density of sand and dust storms.