Fitting Statistical Distribution on Air Pollution: an Overview

  • Authors

    • Muhammad Ismail Jaffar
    • Hazrul Abdul Hamid
    • Riduan Yunus
    • Ahmad Fauzi Raffee
    2018-08-09
    https://doi.org/10.14419/ijet.v7i3.23.17256
  • Air pollution, statistical distribution, pollutant concentration prediction.

  • Abstract

    High event of air pollution would give adverse effect to human health and cause of instability towards environment. In order to overcome these issues, the statistical air pollution modelling is an important tool to predict the return period of high event on air pollution in future. This tool also will be useful to help the related government agencies for providing a better air quality management and it can provide significantly when air quality data been analyze appropriately. In fitting air pollutant data, statistical distribution of gamma, lognormal and Weibull distribution is widely used compared to others distributions model. In addition, the aims of this overview study are to identify which distributions is the most used for predicting the air pollution concentration thus, the accuracy for prediction future air quality is the important aspect to give the best prediction. The comprehensive study need to be conducted in statistical distribution of air pollution for fitting pollutant data. By using others statistical distributions model as main suggested in this paper.

     

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  • How to Cite

    Ismail Jaffar, M., Abdul Hamid, H., Yunus, R., & Fauzi Raffee, A. (2018). Fitting Statistical Distribution on Air Pollution: an Overview. International Journal of Engineering & Technology, 7(3.23), 40-44. https://doi.org/10.14419/ijet.v7i3.23.17256

    Received date: 2018-08-09

    Accepted date: 2018-08-09

    Published date: 2018-08-09