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IDL-based monitoring of water pollution visualization Design and Implementation

Author: ChenTing
Tutor: GuXingFa
School: University of Electronic Science and Technology
Course: Cartography and Geographic Information Engineering
Keywords: IDL Monitoring of water pollution Water quality model Visualization
CLC: X832
Type: Master's thesis
Year: 2010
Downloads: 174
Quote: 0
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Abstract


Monitoring of water pollution is a long-term task of inland water quality monitoring and management tools of traditional water samples were collected data first, and then a comprehensive evaluation of the laboratory analysis of the evaluation index method with a single parameter or multiple parameters to assess water quality. The method is relatively accurate, but the acquisition and analysis of a limited number of monitoring points, have been increasingly unable to meet the needs of the day-to-day monitoring of the water environment. With the development of space technology, remote sensing data for its large amount of information, time scales, spatial scales long become an important means of ground-based observations. Facilitate the identification of the ins and outs of pollutants and pollution trends make research and prediction, and visualization techniques for quantitative analysis of remote sensing information and show the spatial distribution of water quality in large areas using remote sensing information and dynamic quantitative analysis provides a new technical means. The subject based on water quality remote sensing theory and research methods, the use of fourth-generation programming language IDL visualization to water pollution monitoring in the areas of research, is a new exploration. In this paper, the systematic study of the basic theories of remote sensing monitoring of water pollution and the inversion algorithm based on the use of remote sensing information model established quantitative inversion of water to the demonstration area. Design a means of remote sensing information access and monitoring of water pollution in the area within. Characteristics of remote sensing data processing and image visualization features, select IDL as the development language of water pollution monitoring. The functional requirements of the system and the actual development focus on how to use the IDL water pollution monitoring and remote sensing data processing, data visualization analysis and application of the detailed design, design ideas, the basic line and realize discussed in detail. The ultimate realization of the basic functions of the monitoring of water pollution, including visual display of data, pre-processing of remote sensing data, image processing and remote sensing data processing and analysis, try to based IDL water pollution monitoring remote sensing data processing and visualization of the analysis of the application. The combined the IDL development platform software design techniques instance through the development, of system user interactivity, visual effects, platform portability, and scalability try. Final completion set IDL-based monitoring of water pollution visualization system to test its application value, certain references to do in-depth study of future water quality model visualization technology. Fully qualified for the monitoring of water pollution by examining the IDL data processing requirements, has a considerable advantage in data visualization applications and image processing, both for the analysis of remote sensing data calculated or processing huge amounts of data in the data, and be able to complete the corresponding processing tasks, and the running speed is relatively satisfactory. Developed IDL-based monitoring of water pollution visualization system for fast remote sensing image processing, data analysis and visualization to provide a good solution.

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CLC: > Environmental science, safety science > Environmental Quality Assessment and Environmental Monitoring > Environmental monitoring > Water quality monitoring
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