甲苯
苯
环境化学
化学
薄雾
污染物
环境科学
二甲苯
微粒
有机化学
作者
Nebojša Bačanin,Mirjana Perišić,Gordana Jovanović,Robertas Damaševičius,Svetlana Stanišić,Vladimir Šimić,Miodrag Živković,Andreja Stojić
标识
DOI:10.1016/j.scitotenv.2024.172195
摘要
Toluene is a neurotoxic aromatic hydrocarbon and one of the major representatives of volatile organic compounds, known for its abundance, adverse health effects, and role in the formation of other atmospheric pollutants like ozone. This research introduces the enhanced version of the reptile search metaheuristics algorithm which has been utilized to tune the extreme gradient boosting hyperparameters, to investigate toluene atmospheric behavior patterns and interactions with other polluting species within defined environmental conditions. The study is based on a two-year database encompassing concentrations of inorganic gaseous contaminants every hour (NO, NO2, NOx, and O3), particulate matter fractions (PM1, PM2.5, and PM10), m,p-xylene, toluene, benzene, total non-methane hydrocarbons, and meteorological data. The experimental outcomes were validated against the results of extreme gradient boosting models optimized by seven other recent powerful metaheuristics algorithms. The best-performing model has been interpreted by employing Shapley additive explanations method. In the study, we have focused on the relationship between toluene and benzene, as its most important predictor, and provided a detailed description of environmental conditions which directed their interactions.
科研通智能强力驱动
Strongly Powered by AbleSci AI