1982
DOI: 10.1021/es00101a002
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Statistical distributions of air pollutant concentrations

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Cited by 133 publications
(54 citation statements)
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“…PM2.5 and NO 2 data. The equations of these distributions were found and the distributional parameters estimated by the method of maximum-likelihood for the theoretical distributions (Georgopoulos and Seinfeld [2]; Lu [5]). Overall the Weibull distribution was found to be the most appropriate to represent all the parent distributions and used to fit the entire measured data.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…PM2.5 and NO 2 data. The equations of these distributions were found and the distributional parameters estimated by the method of maximum-likelihood for the theoretical distributions (Georgopoulos and Seinfeld [2]; Lu [5]). Overall the Weibull distribution was found to be the most appropriate to represent all the parent distributions and used to fit the entire measured data.…”
Section: Resultsmentioning
confidence: 99%
“…Mineral and vegetable dust coming from the intensive commercial and industrial activities on vegetable seeds such as soybean, sunflower and castorbean add to the gaseous Volatile Organic Compounds (VOC), SO 2 and NO x from heating and ships sailing around the harbour. The urban area is characterized by high population density and economic development.…”
Section: Introductionmentioning
confidence: 99%
“…Assuming unchanged spatial distribution of emission sources, meteorological conditions and no reactive species, according to the rollback equation [36], the emission source reduction R (%) required to meet AQS can be estimated as:…”
Section: Estimation Of Emission Source Reductionmentioning
confidence: 99%
“…Many types of probability distributions have been used to fit air pollutant concentrations. These include lognormal distribution [34,35], Weibull distribution [36], gamma distribution [37] and type V Pearson distribution [38]. The Weibull probability model is suitable for presenting air quality data in a "pseudolognormal" distribution [39,40].…”
Section: Introductionmentioning
confidence: 99%
“…One is the probability distribution of high ozone values (e.g., above the standard level of 120 ppb). What makes this function a useful response metric is that ozone values in the range of 100-120 ppb calculated from UAM appear to conform very well to the Weibull probability density, 18,19 which is often used to account for inaccuracies in an exponential distribution.…”
Section: Emissions Inputsmentioning
confidence: 99%