Abstract
Air pollution has been an internationally growing concern. Modeling and forecasting daily movement of ambient air mean NO2 concentration is an increasingly important task for its adverse effects on human health. With weekly quasi-periodic extension for daily movement of mean NO2 concentration, the elliptic orbit model is introduced to depict its movement. Daily movement of mean NO2 concentration as a time-series is mapped into the polar coordinates to build the elliptic orbit model, in which each 7-day-movement is described as one elliptic orbit. Experiments and result analysis indicate workability and effectiveness of the proposed method. It is shown that with weekly quasi-periodic extension, daily movements of mean NO2 concentration at the given monitoring stations in China are well described by the elliptic orbit model, which presents a vivid description for analyzing daily movement of mean NO2 concentration in a concise and intuitive way.
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Acknowledgments
The research was supported by Scientific Research Fund of Hunan Provincial Science and Technology Department (2013GK3090) and Scientific Research Fund of Hunan Provincial Education Department (09C399) and research fund of Hunan University of Science and Technology (E50811). The author would like to extend his thanks to the editor(s) and anonymous reviewers for their valuable suggestions.
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Yang, Zc. Daily ambient air mean NO2 concentration modeling and forecasting based on the elliptic-orbit model with weekly quasi-periodic extension: a case study. Stoch Environ Res Risk Assess 29, 547–561 (2015). https://doi.org/10.1007/s00477-014-0895-2
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DOI: https://doi.org/10.1007/s00477-014-0895-2