A simplified approach to the indirect evaluation of the chemical composition of atmospheric aerosols from PM mass concentrations |
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| Authors: | Jorge Pey Andrés Alastuey Xavier Querol Noemí Pérez Michael Cusack |
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| Affiliation: | 1. State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China;2. Leibniz Institute for Tropospheric Research, 04318 Leipzig, Germany;1. Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China;2. Key Laboratory of Regional Numerical Weather Prediction, Institute of Tropical and Marine Meteorology, China Meteorological Administration, Guangzhou, Guangdong 510080, China;3. Jiangsu Environmental Monitoring Center, Nanjing 210036, China;4. Department of Environmental Science and Technology, Sun Yat-sen University, Guangzhou 510275, China;5. Hong Kong Observatory, Hong Kong, China;1. Institute of Resources & Environment, North China University of Water and Electric Power, Zhengzhou, Henan 450045, China;2. College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China;3. Department of Resources and Environment Engineering, Henan Institute of Engineering, Zhengzhou, Henan 451191, China;4. School of Energy & Environment Engineering, Zhongyuan University of Technology, Zhengzhou, Henan 450007, China |
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| Abstract: | The present work shows a straightforward procedure to indirectly estimate the chemical composition at a given site only from the determination of the PM concentrations, and the classification of the days according to the main meteorological scenarios. A previous study based on the mean chemical composition associated to the main meteorological scenarios is required.This experiment has been carried out with data from two monitoring sites in the North-Western Mediterranean, one regional and one suburban background. At both sites, one-year datasets on chemical PM10 composition were obtained. Based on these datasets, the mean PM10 compositions according to the most relevant meteorological situations were calculated for both locations. After that, the reconstruction of the chemical composition for all the days with available PM10 concentrations was completed. Subsequently, the estimated PM10 composition was compared with that determined experimentally. The comparison between the rebuilt and the experimental results was very satisfactory in the case of the regional background site, and relatively replaced in the other case. Furthermore, the validation of the method at the regional background site has been conducted from the reconstruction of a 4-year data base, and subsequent comparison with the experimental chemical composition.Our results show that it is possible to attain a good approach to the chemical composition at regional background sites, where local emission sources are negligible. Conversely, when the local sources rise in importance, i.e., at a suburban background site, the approach is suitable only for those components with a more regional origin and/or those from long range transport of air masses. |
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