The Prediction of Nitrogen Dioxide from Atmosphere in Changsha City Based on Grey Model

Abstract:

Taking nitrogen dioxide from atmosphere samples in Changsha as research object, GM (1, 1) dynamic prediction model of pollutants was built based on grey system theory and automatic monitoring data (nitrogen dioxide) of 2011. Pollution status of the next year was predicted by the model. Through model testing, the model can meet actual demands with its precision level is at the second and the third rank. Comparison between the predicted data and the measured ones shows that the higher the precision level is, the more accurate the model prediction will be. It is also obtained that the GM (1, 1) dynamic prediction model not only possesses potential value for further application, but also can provide the basis of the formulation of the local regional environmental planning and implementing measures related to atmospheric pollution control.

• Periodical: Advanced Materials Research (Volumes 838-841)
• Pages: 2471-2474
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.838-841.2471
• Online since: November 2013
• Authors: Zhuang Li*, Run Li Zou, Juan Sheng Li, Bang Hui Zhu
• Keywords: Atmospheric Pollution Control, GM(1,1) Model, Grey Prediction, Nitrogen Dioxide

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