Explainable extreme gradient boosting tree-based prediction of toluene, ethylbenzene and xylene wet deposition

Current research suggests that, apart from photochemical reactions, toluene, ethylbenzene and xylene (TEX) removal from ambient air might be affected by atmospheric precipitation, depending on the concentrations and water solubility of the compounds, Henry's law, physico-chemical properties of...

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Bibliographic Details
Published in:The Science of the total environment Vol. 653; pp. 140 - 147
Main Authors: Stojić, Andreja, Stanić, Nenad, Vuković, Gordana, Stanišić, Svetlana, Perišić, Mirjana, Šoštarić, Andrej, Lazić, Lazar
Format: Journal Article
Language:English
Published: Netherlands Elsevier B.V 25-02-2019
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Summary:Current research suggests that, apart from photochemical reactions, toluene, ethylbenzene and xylene (TEX) removal from ambient air might be affected by atmospheric precipitation, depending on the concentrations and water solubility of the compounds, Henry's law, physico-chemical properties of the water, as well as the frequency and intensity of precipitation events. Nevertheless, existing knowledge of the role that wet deposition plays in biogeochemical cycles of volatile species remains insufficient, and this topic requires more scientific effort to be explored and understood. In this study, we employed the eXtreme Gradient Boosting tree ensemble for revealing TEX transfer from ambient air to rainwater, and applied a novel SHapley Additive exPlanations feature attribution framework to examine the relevance of the monitored parameters and identify key factors that govern wet deposition of TEX. According to the results, main impacts, including ambient air TEX concentrations, and rainwater and air temperatures, and occasional, but less important impacts, including wind speed, air pressure, turbidity, and total organic carbon, NO3−, Cl− and K+ rainwater concentration, shaped TEX partition between gaseous and aqueous phases during rain events. [Display omitted] •XGBoost and SHAP methods were applied to investigate TEX air – rainwater partition.•XGBoost relative errors were below 20% when evaluating variable relationships.•Air TEX concentrations, rainwater and air temperature govern TEX distribution.•Ion rainwater concentrations and wind speed occasionally impact TEX transfer.
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ISSN:0048-9697
1879-1026
DOI:10.1016/j.scitotenv.2018.10.368