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Air Quality Modeling and Metamodeling Approach

Air Quality Modeling and Metamodeling Approach

Miloslava Kašparová, Jirí Krupka
Copyright: © 2011 |Pages: 18
ISBN13: 9781609601560|ISBN10: 1609601564|EISBN13: 9781609601584
DOI: 10.4018/978-1-60960-156-0.ch007
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MLA

Kašparová, Miloslava, and Jirí Krupka. "Air Quality Modeling and Metamodeling Approach." Environmental Modeling for Sustainable Regional Development: System Approaches and Advanced Methods, edited by Vladimír Olej, et al., IGI Global, 2011, pp. 144-161. https://doi.org/10.4018/978-1-60960-156-0.ch007

APA

Kašparová, M. & Krupka, J. (2011). Air Quality Modeling and Metamodeling Approach. In V. Olej, I. Obršálová, & J. Krupka (Eds.), Environmental Modeling for Sustainable Regional Development: System Approaches and Advanced Methods (pp. 144-161). IGI Global. https://doi.org/10.4018/978-1-60960-156-0.ch007

Chicago

Kašparová, Miloslava, and Jirí Krupka. "Air Quality Modeling and Metamodeling Approach." In Environmental Modeling for Sustainable Regional Development: System Approaches and Advanced Methods, edited by Vladimír Olej, Ilona Obršálová, and Jirí Krupka, 144-161. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-156-0.ch007

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Abstract

This chapter deals with modeling and metamodeling of air quality in the Pardubice region of the Czech Republic. From a regional point of view, the Pardubice district is the most problematic area in regards to air pollution. Concentrations of traffic, industry and power stations (Opatovice and Chvaletice) activities are the cause of this situation, although emissions of all pollutants have markedly decreased within the last ten years. A decrease in air pollution was achieved particularly by restriction and restructuring of industrial production, use of emission standards, changes in legislation in the area of air protection, etc. The mentioned air quality modeling belongs to classification tasks. It means the authors deal with the classification problem, with the creation of classification models (classifiers) and they focus on metamodeling (combining classifiers). Through the application of modeling and metamodeling the authors use selected algorithms of decision trees (C5.0, chi-squared automatic interaction detection and classification and regression trees) that belong to useful explanatory techniques.

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