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1、VIRTUAL REALITY MODEL OF AIR POLLUTIONM. Mudrova, A. Prochazka, and M. KolnovaInstitute of Chemical Technology, Department of Computing and Control EngineeringAbstractThe paper is devoted to the description of virtual re
2、ality model generation using the system Matlab and its Virtual Reality Toolbox. The selected possibilities of interconnection of both systems (Matlab and VRML) are demonstrated by means of visualisation of two-dimensiona
3、l interpolation of air pollution data.1 IntroductionPresentation of three-dimensional data currently represents a very topical theme in many areas, and not only technical ones. Clear and intelligible arrangements of info
4、rmation in the 3D model is necessary for example in medicine and it is used more and more frequently in other areas. Results of information processing using complex mathematical tools can naturally lead to formulation of
5、 a three-dimensional graphical model. It has been possible to observe or process spatial data for all users of personal computers since the VRML (Virtual Reality Modeling Language) had been developed [5, 6, 7]. The most
6、frequently used Internet browsers (MS Internet Explorer and Netscape Navigator) have a VRML viewer built in. There are also many other freeware plug-in modules available on the Internet with which one can enter the virtu
7、al world and observe it and possibly control it as well. Thanks to these facts, it is expected that areas of applications of 3D modeling will grow.The goal of this paper is to describe the process of formulation of a 3D
8、model of air pollution level in the Czech Republic using the system Matlab, and its export to VRML.2 BackgroundThe virtual realistic scene establishes to generally have two kinds of paths: Adopting openGL, VRML,Direct 3D
9、 is the 1st。For non-calculator professional personnel to say, make use of OpenGL to write a complicated 3D satellite observations and namely concentrations of dust particles in the air. The one year's time series rep
10、resenting current concentrations of the PM10 pollution obtained from the AIM stations has been kindly provided by the Czech Hydrometeorological Institute in Prague. The data observed at locations presented in Fig. 1 were
11、 preprocessed by means of compensation for values of measurement failures and elimination of distant values [4].Figure 1: The AIM station layout in the Czech Republic with marked Delaunay triangulation4 Two Dimensional I
12、nterpolation MethodsIt is possible to use various interpolation methods for estimation of values of an observed pollutant in other non-measured points specied by a selected orthogonal net. The description and comparison
13、of these problems has been presented in [4]. It is possible to use the simplest method of the 0-th order - the nearest neighbour method that interpolates the surroundings of a given station by the same value measured in
14、the station. Voronoi diagrams [1] limit the surrounding borders. Related Delaunay triangulation method presented in Fig. 1 is used for higher-order interpolation (bilinear, cubic, spline). A selected method applied to th
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