Intervention analysis with autoregressive integrated moving average models for time series of urban air pollutants
Open Access
- 1 December 2021
- journal article
- Published by IOP Publishing in Journal of Physics: Conference Series
- Vol. 2139 (1)
- https://doi.org/10.1088/1742-6596/2139/1/012002
Abstract
The objective of this paper is to show an intervention analysis with autoregressive integrated moving average models for time series of air pollutants in a Latin American megacity. The interventions considered in this study correspond to public regulations for the control of urban air quality. The study period comprised 10 years. Information from 10 monitoring stations distributed throughout the megacity was used. Modelling showed that setting maximum emission limits for different pollution sources and improving fuel were the most appropriate regulatory interventions to reduce air pollutant concentrations. Modelling results also suggested that these interventions began to be effective between the first 4 days-15 days after their publication. The models developed on a monthly timescale had a short autoregressive memory. The air pollutant concentrations at a given time were influenced by the concentrations of up to three months immediately preceding. Moving average term of the models showed fluctuations in time of the air pollutant concentrations (3 months - 14 months). Within the framework of the applications of physics for the air pollution control, this study is relevant for the following findings: the usefulness of autoregressive integrated moving average models to temporal simulate air pollutants, and for its suitable performance to detect and quantify regulatory interventions.This publication has 12 references indexed in Scilit:
- Increases in surface ozone pollution in China from 2013 to 2019: anthropogenic and meteorological influencesAtmospheric Chemistry and Physics, 2020
- ARIMA and NAR based prediction model for time series analysis of COVID-19 cases in IndiaJournal of Safety Science and Resilience, 2020
- Impact of gasoline upgrade policy on particulate matter pollution in ChinaJournal of Cleaner Production, 2020
- Experimental study of the combustion and emission characteristics of oxygenated fuels on a heavy-duty diesel engineFuel, 2020
- Is environmental regulation effective in China? Evidence from city-level panel dataJournal of Cleaner Production, 2018
- Applications of Python to evaluate environmental data science problemsEnvironmental Progress & Sustainable Energy, 2017
- The physical factors affecting heavy metals accumulated in the sediment deposited on road surfaces in dry weather: a reviewUrban Water Journal, 2016
- Megacities, air quality and climateAtmospheric Environment, 2016
- Clearing the Air? The Effects of Gasoline Content Regulation on Air QualityThe American Economic Review, 2011
- How urban structure can affect city sustainability from an air quality perspectiveEnvironmental Modelling & Software, 2006