Abstract
The zero-out method of source apportionment was applied to air pollutant concentrations (ozone, nitrogen dioxide and particulate matter) from an air quality simulation for Spain and the suitability of the method was analysed.
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References
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Acknowledgements
This work has received financial support from the Spanish Ministry of Science, Innovation and Universities through the project Retos-AIRE (RTI2018-099138-B-I00). The authors would also like to thank the Spanish Ministry for the Ecological Transition for the air quality observations, emissions, and additional financial support, the European Centre for Medium-Range Weather Forecasts (ECMWF) for providing the IFS data, the Spanish meteorological agency (AEMET) for the meteorological observations and access to the IFS data, EMEP/CEIP for the emissions data and the supercomputing team at CIEMAT.
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Questioner: Matthias Karl.
Question: A criteria for the addition of contributions from different sources of ozone impacts was set to 5%. Does this mean that an error of 5% in the addition of O3 contributions is acceptable?
Answer: We used a value of 5% to indicate situations where the sum of the contributions was similar to the base case simulation. However, in this preliminary analysis, the value was chosen arbitrarily and the effect of using other thresholds should be assessed in future work.
Questioner: Eduardo de la Torre.
Question: Are you considering employing different emission inventories? For example, analysing North African of French emissions in depth.
Answer: We have not considered using other emission inventories although it would be one way to assess the robustness of our analyses in the future.
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Theobald, M.R., Vivanco, M.G., Gil, V., Garrido, J.L., MartÃn, F. (2021). Analysis of the Zero-Out Method of Source Apportionment for Air Quality Modeling in Spain. In: Mensink, C., Matthias, V. (eds) Air Pollution Modeling and its Application XXVII. ITM 2019. Springer Proceedings in Complexity. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-63760-9_16
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DOI: https://doi.org/10.1007/978-3-662-63760-9_16
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