Fractal analysis of the time series of particulate material

D. A. Prada, D. Parra, J. D. Tarazona, M. F. Silva, P. Vera, S. Montoya, A. Acevedo, J. Gomez

    Research output: Contribution to journalConference and proceedingspeer-review

    3 Scopus citations

    Abstract

    The air quality index shows the pollution of the air we breathe, a very low index indicates that we can have respiratory, eye or heart conditions. An index below the minimum levels declared, requires generating strategies such as days without the presence of private vehicles, among others, to reduce pollution. The city of Medellin, Colombia, has shown very low levels in the air quality index due to several factors, mainly the emission produced by vehicles and companies. Due to this, activities have been initiated to reduce the emission of 2.5 micron and 10 microns particulate material, classified as highly harmful to health. The city installed 12 air quality monitoring stations and designed a decontamination proposal for the year 2030. Conducting a study on the persistence of particulate matter in the air according to the data recorded by the stations, will strengthen the proposed strategy or modify it to achieve the goal. In this work, the data collected by a station from July to December 2018 in which a high persistence in the presence of particulate material was analyzed.

    Original languageEnglish
    Article number012016
    JournalJournal of Physics: Conference Series
    Volume1514
    Issue number1
    DOIs
    StatePublished - 16 Jun 2020
    Event6th International Conference Days of Applied Mathematics, ICDAM 2019 - San Jose de Cucuta, Colombia
    Duration: 16 Oct 201918 Oct 2019

    Bibliographical note

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    © 2020 Published under licence by IOP Publishing Ltd.

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