Niu Yueyuan, Yan Yulong, Xing Yiran, Duan Xiaolin, Yue Ke, Dong Jiaqi, Hu Dongmei, Wang Yuhang, Peng Lin
MOE Key Laboratory of Resources and Environmental System Optimization, College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China.
Engineering Research Center of Clean and Low-carbon Technology for Intelligent Transportation, Ministry of Education, School of Environment, Beijing Jiaotong University, Beijing 100044, China; School of Environment, Beijing Jiaotong University, Beijing 100044, China.
Sci Total Environ. 2024 Apr 1;919:170559. doi: 10.1016/j.scitotenv.2024.170559. Epub 2024 Feb 7.
Volatile organic compounds (VOCs) play a major role in O formation in urban environments. However, the complexity in the emissions of VOCs and nitrogen oxides (NOx) in industrial cities has made it challenging to identify the key factors influencing O formation. This study used observation-based-model (OBM) to analyze O sensitivities to VOCs and NOx during summer in a typical industrial city in China. The OBM model results were coupled with a receptor model to analyze the sources of O. Higher concentrations of O precursors were observed during polluted periods indicating that precursor accumulation contributed to the higher maxima of the net ozone formation rate and HOx concentrations. Analyses of ROx· budgets and relative incremental reactivity (RIR) indicated that O production is in a chemical transition regime and was sensitive to both VOCs and NOx. Results from Positive Matrix Factorization (PMF) analysis indicated that gasoline vehicle emissions, industrial processes, and coal combustion were major sources of O precursors. The sensitivities of O production to these sources depend on if both VOC and NOx sensitivities are considered. If only VOCs sensitivity is considered, in contrast, the contribution of anthropogenic sources to O production was significantly underestimated. This study highlights the importance of accounting for both VOCs and NOx sensitivities when O chemistry is in a transition regime in O production attribution studies.
挥发性有机化合物(VOCs)在城市环境中的臭氧形成过程中起着主要作用。然而,工业城市中VOCs和氮氧化物(NOx)排放的复杂性使得确定影响臭氧形成的关键因素具有挑战性。本研究采用基于观测的模型(OBM)来分析中国一个典型工业城市夏季臭氧对VOCs和NOx的敏感性。OBM模型结果与受体模型相结合,以分析臭氧的来源。在污染期间观测到较高浓度的臭氧前体,这表明前体物质的积累导致了净臭氧形成速率和HOx浓度的更高峰值。对ROx·收支和相对增量反应活性(RIR)的分析表明,臭氧生成处于化学过渡状态,对VOCs和NOx均敏感。正定矩阵因子分解(PMF)分析结果表明,汽油车排放、工业过程和煤炭燃烧是臭氧前体的主要来源。臭氧生成对这些来源的敏感性取决于是否同时考虑了VOCs和NOx的敏感性。相反,如果仅考虑VOCs的敏感性,人为源对臭氧生成的贡献将被显著低估。本研究强调了在臭氧生成归因研究中,当臭氧化学处于过渡状态时,同时考虑VOCs和NOx敏感性的重要性。