Superstatistical approach to air pollution statistics

作者: Griffin Williams , Benjamin Schäfer , Christian Beck

DOI: 10.1103/PHYSREVRESEARCH.2.013019

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摘要: In this work the authors analyze time series of Nitritic Oxide (NO) and Nitrogen Dioxide (NO${}_{2}$) concentrations find that probability distributions these pollutants exhibit heavy tails. The observed dynamics is consistently explained by a superposition local exponential, respectively Maxwell-Boltzmann with time-varying parameters in pollutant concentration trajectory, allowing for precise risk estimates high pollution situations.

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