Based On Radial Basis Function Interpolation Of Ambient Air Quality Data Visualization Research

The visualization is this kind of process,the message and the knowledge concealment in data will be transformated into one kind of visual form,make the visible pattern fast recognition natural ability of people to fully use. The visualization make the human brain and the modern computer these two most formidable information management system relates in together. The effective visual interface enables us to be able to observe,operation, research, browsing, exploration, filtration, to discovery, and to understand the large-scale data. And interactive with it convenience, thus people may discover the internal characteristic and the rule hides in the information effectively. In our society the information become rich day by day, the visualization engineering research and using have already changed us fundamentally to express with understanding way about large-scale complex data. The visualization influence is widespread and deeply to guides us to obtain new seeing clearly with the effective decision-making.The Jinan environmental protection inspection station started from 1999 to carry on the city air quality automatic monitor work. Accumulated the massive air quality monitoring historical data. These data have the significance to the entire urban environment air quality's analysis and the forecast. Along with air quality real-time observation system and key source of pollution real-time online observation system's establishment. The monitor data's growth will be more rapid. The traditional processing application software uses the two-dimensional graph and the curve form, may also meet the present application needs to the few short-term data processing. But with the lapse of time,the data quantity increases rapidly, for promptly and effectivly use the information,response situation Comprehensivly is more direct-viewing for the analysis staffs to perform the convenient operation, all this Needs to provide a new software platform to solves the new request unceasingly.This article discussed the correlation technique which a ambient air quality visualization system's design and the part realize. Studied and has realized many kinds of visualization methods,to realize the data dynamic visible.Using the interpolation method with outstanding performance,so that satisfies to the Jinan ambient air quality analysis request, provides the supplementary means for the Jinan environmental monitoring and the protection Control section's decision-making.This article mainly includes the following several aspects: Analysis of a number of data visualization methods,analysis focused on the use of radial basis function interpolation in the application of environmental and performance advantages and disadvantages. Using compactly supported radial basis function interpolation method for forecasting air quality data interpolation in time and space dimension,to achieve the air quality in numerical prediction of the dynamic data visualization. Analysis of air quality forecasting data structure,and with multi-threading technology to achieve a number of space-level data visualization. Can be carried out in a number of different levels of pollutants in the project compared, To reveals more detailed spatial distribution of pollutants in the law;Analysis of air quality monitoring data by monitoring stations,interpolation using radial basis function to achieve air quality monitoring data interpolation fitting,comparison of the means provided for the relevant aspects of numerical prediction of air quality data, the ambient air quality improvement of numerical weather forecast system to provide a certain amount of scientific evidence.