The Research About CO₂Spatial Distribution And Visualization Based On ArcGIS

As the main greenhouse gas, CO2emission is becoming more and more relevant to the existence of human beings, and more attention has been attached to the reduction of CO2emission. As the major power responsible for the emission, China is attaching more attention to it,and the relevant research is more and more emphasized. However, there is no standard regulation on the monitor and control of the emission, so it’s very hard to do so. The thesis mainly focuses on the spatial distribution and visualisation of CO2, and the statistical, two dimensional and three dimensional analysis of the spatial distribution, and finally takes the visual display through the combination of the results of two dimensional and three dimensional analysis in order to manifest the spatial distribution vividly. The research result could provide technical support for the reasonable carrying out of reducing emission.The thesis is based on the public-good project of Zhejiang Department of Science and Technology, and the main research is as follows:①improve BP Neural Network algorithmand by means of quaternary tree model and combinatorial optimization,and realize spatial interpolation of CO2;②to realize the visualization of two dimensional analysis of CO2spatial distribution, mainly including the realization of the visualization of two dimensional of CO2spatial distribution based on based on the improvement of BP neural network algorithmand,kriging interpolation and contour;③to realize three dimensional visualization of CO2spatial distribution, mainly including the visualization based on the irregular triangle network TIN and that of three dimensional spatial distribution of CO2in the form of the particles and fog based on OpenGL;④to realize the vivid and visualized CO2spatial distribution; to analyze statistical data and the transform CO2data information to line chart and histogram, to explore the hidden rule behind the data;⑤finally to realize the development of system and functional modules by means of secondary development of SQL Server2008+ArcGIS Engine9.3+Visual Studio2008.The creative points:1)improve BP Neural Network algorithmand and realize CO2spatial interpolation.2)Having manifested the CO2spatial distribution through various ways of analysis.