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A Synthesis of the Information Given by Temporal Data Series: The Representative Day

In: Environmental Sustainability - Preparing for Tomorrow

Author

Listed:
  • Tiziano Tirabassi
  • Daniela Buske

Abstract

The recording of air pollution concentration values involves the measurement of a large volume of data. Generally, automatic selectors and explicators are provided by statistics. The use of the Representative Day allows the compilation of large amounts of data in a compact format that will supply meaningful information on the whole data set. The Representative Day (RD) is a real day that best represents (in the meaning of the least squares technique) the set of daily trends of the considered time series. The Least Representative Day (LRD), on the contrary, it is a real day that worst represents (in the meaning of the least squares technique) the set of daily trends of the same time series. The identification of RD and LRD can prove to be a very important tool for identifying both anomalous and standard behaviors of pollutants within the selected period and establishing measures of prevention, limitation and control. Two application examples, in two different areas, are presented related to meteorological and SO2 and O3 concentration data sets.

Suggested Citation

  • Tiziano Tirabassi & Daniela Buske, 2021. "A Synthesis of the Information Given by Temporal Data Series: The Representative Day," Chapters, in: Syed Abdul Rehman Khan (ed.), Environmental Sustainability - Preparing for Tomorrow, IntechOpen.
    • Handle: RePEc:ito:pchaps:224457
    DOI: 10.5772/intechopen.95583
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    More about this item

    Keywords

    air pollution; daily trends; data set; temporal series; air pollution management; representative day;
    All these keywords.

    JEL classification:

    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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