Importance of ozone precursors information in modelling urban surface ozone variability using machine learning algorithm
Open Access
- 5 April 2022
- journal article
- research article
- Published by Springer Science and Business Media LLC in Scientific Reports
- Vol. 12 (1), 1-8
- https://doi.org/10.1038/s41598-022-09619-6
Abstract
Surface ozone (O\(_3\)) is primarily formed through complex photo-chemical reactions in the atmosphere, which are non-linearly dependent on precursors. Even though, there have been many recent studies exploring the potential of machine learning (ML) in modeling surface ozone, the inclusion of limited available ozone precursors information has received little attention. The ML algorithm with in-situ NO information and meteorology explains 87% (R\(^{2}\) = 0.87) of the ozone variability over Munich, a German metropolitan area, which is 15% higher than a ML algorithm that considers only meteorology. The ML algorithm trained for the urban measurement station in Munich can also explain the ozone variability of the other three stations in the same city, with R\(^{2}\) = 0.88, 0.91, 0.63. While the same model robustly explains the ozone variability of two other German cities’ (Berlin and Hamburg) measurement stations, with R\(^{2}\) ranges from 0.72 to 0.84, giving confidence to use the ML algorithm trained for one location to other locations with sparse ozone measurements. The inclusion of satellite O\(_3\) precursors information has little effect on the ML model’s performance.
Keywords
Funding Information
- Technische Universität München
This publication has 51 references indexed in Scilit:
- Simulation of the interannual variations of tropospheric ozone over China: Roles of variations in meteorological parameters and anthropogenic emissionsAtmospheric Environment, 2015
- Temperature and Recent Trends in the Chemistry of Continental Surface OzoneChemical Reviews, 2015
- On the temperature dependence of organic reactivity, nitrogen oxides, ozone production, and the impact of emission controls in San Joaquin Valley, CaliforniaAtmospheric Chemistry and Physics, 2014
- On the observed response of ozone to NOx and VOC reactivity reductions in San Joaquin Valley California 1995–presentAtmospheric Chemistry and Physics, 2012
- Simulations over South Asia using the Weather Research and Forecasting model with Chemistry (WRF-Chem): chemistry evaluation and initial resultsGeoscientific Model Development, 2012
- Seasonal and spatial variability of surface ozone over China: contributions from background and domestic pollutionAtmospheric Chemistry and Physics, 2011
- Impact of meteorological factors on ozone concentrations modelled by time series analysis and multivariate statistical methodsEcological Informatics, 2009
- The use of ambient air quality modeling to estimate individual and population exposure for human health research: A case study of ozone in the Northern Georgia Region of the United StatesEnvironment International, 2006
- The relation between ozone, NOx and hydrocarbons in urban and polluted rural environmentsAtmospheric Environment, 1999
- The sensitivity of ozone to nitrogen oxides and hydrocarbons in regional ozone episodesJournal of Geophysical Research: Atmospheres, 1990