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Air pollutant concentrations

About: Air pollutant concentrations is a research topic. Over the lifetime, 1652 publications have been published within this topic receiving 36138 citations.


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Journal ArticleDOI
TL;DR: In this paper, an attempt is made to predict daily and monthly concentrations by utilising a statistically based model, that is, a multiple linear regression model, using the Autoregressive Integrated Moving Average (ARIMA) stochastic model in combination with the Theil index.
Abstract: Air pollutant concentrations recorded in the Athens basin area by a network of stations are analysed and examined to estimate the typical behaviour of the air pollutants, especially with regard to daily, weekly and annual periodicities and meteorological dependencies. Also, an attempt is made to predict daily and monthly concentrations by utilising a statistically based model, that is, a multiple linear regression model. The results obtained show the presence of a very significant weekly periodicity for all the analysed air pollutants (e.g. SO2, O3, CO, NO and NO2). It also appears to be present a yearly periodicity for the primary (e.g. SO2, CO, NO and NO2) air pollutants analysed and studied. The statistical prediction by using the Autoregressive Integrated Moving Average (ARIMA) stochastic model in combination with the Theil index, shows good predicting capabilities (one day ahead) for sulphur dioxide (SO2), carbon monoxide (CO), ozone (O2) and nitrogen oxides (NO and NO2). The significance of the forecasting is controlled by the Theil index.

3 citations

Journal ArticleDOI
TL;DR: The physician should be prepared to counsel susceptible patients on avoiding and reducing risks and to give them special attention to avoid and reduce risks.
Abstract: Air pollution can be a minor health problem or a threat to life The physician should be prepared to counsel susceptible patients on avoiding and reducing risks and to give them special attention d

3 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202316
20229
2021100
202084
201972
201852