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A complexity view of atmospheric particulate matter concentration

Simone Astrid Estavillo, Edgar Vallar, Maria Cecilia Galvez, Prane Mariel Ong and Rene C. Batac
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Simone Astrid Estavillo: Department of Physics, College of Science, De La Salle University – Manila, 2401 Taft Avenue Manila, 0922, Philippines
Edgar Vallar: Department of Physics, College of Science, De La Salle University – Manila, 2401 Taft Avenue Manila, 0922, Philippines
Maria Cecilia Galvez: Department of Physics, College of Science, De La Salle University – Manila, 2401 Taft Avenue Manila, 0922, Philippines
Prane Mariel Ong: Department of Physics, College of Science, De La Salle University – Manila, 2401 Taft Avenue Manila, 0922, Philippines
Rene C. Batac: Department of Physics, College of Science, De La Salle University – Manila, 2401 Taft Avenue Manila, 0922, Philippines†Dr. Andrew L. Tan Data Science Institute, De La Salle University – Manila 2401 Taft Avenue, Manila, 0922, Philippines

International Journal of Modern Physics C (IJMPC), 2025, vol. 36, issue 05, 1-13

Abstract: We studied the distribution of the annual PM2.5 concentrations of countries and territories as reported by the World Health Organization (WHO) for the last decade using self-reported data from governments and other contributing institutions. The distributions follow various regimes corresponding to the low, intermediate, and high PM2.5 concentrations. The intermediate regime is fitted with a power-law with scaling exponent close to 2.44 and explained from a complexity perspective using a truncated exponential growth model with random truncation growth rates. The self-organization resulting from the interplay between natural and human-induced factors in the atmosphere is deemed to persist despite the gradual evolution of the actual statistical manifestations.

Keywords: Air pollution; power-law distribution; self-organized criticality; sandpile model (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1142/S0129183124502231

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