Statistical Study of Air Pollutant Concentrations via Generalized Gamma Distributions
Open Access
- 31 October 1986
- journal article
- research article
- Published by Taylor & Francis in Journal of the Air Pollution Control Association
- Vol. 36 (11) , 1250-1254
- https://doi.org/10.1080/00022470.1986.10466173
Abstract
This paper deals with modeling observed frequency distributions of air quality data measured in the area of Venice, Italy. The paper discusses the application of the generalized gamma distribution (ggd) which has not been commonly applied to air quality data notwithstanding the fact that it embodies most distribution models used for air quality analyses. The approach yields important simplifications for statistical analyses. A comparison among the ggd and other relevant models (standard gamma, Weibull, lognormal), carried out on daily sulphur dioxide concentrations in the area of Venice underlines the efficiency of ggd models in portraying experimental data.This publication has 4 references indexed in Scilit:
- Fitting statistical distributions to air quality data by the maximum likelihood methodAtmospheric Environment (1967), 1982
- Statistical distributions of daily and high atmospheric SO2-concentrationsAtmospheric Environment (1967), 1982
- On frequency distributions of air pollutant concentrationsAtmospheric Environment (1967), 1976
- Ricerche intorno alla curva dei redditiAnnali di Matematica Pura ed Applicata (1923 -), 1925