Wang Ci-Mou, Deng Meng-Jie, Chen Yu, Wang Zu-Wu, Cheng Hai-Rong
School of Resource and Environmental Sciences, Wuhan University, Wuhan 430072, China.
Huan Jing Ke Xue. 2023 Feb 8;44(2):626-633. doi: 10.13227/j.hjkx.202204333.
Based on stable isotope technology and a PMF model, the pollution characteristics and sources of carbon and nitrogen components in ambient PM in Huangshi City were explored. The results showed that the total carbon concentration[(TC)] and the total carbon isotopic composition (C) in ambient PM in Huangshi City both showed seasonal variation characteristics of being high in winter and low in summer, with values of (4.4±1.2) μg·m and (-26.3±0.5)‰ in summer and (9.9±3.5) μg·m and (-25.5±0.5)‰ in winter, respectively. The total nitrogen concentration[(TN)]was significantly lower in summer[(9.1±9.1) μg·m]than that in winter[(62.4±26.4) μg·m], whereas the total nitrogen isotopic composition (N) was obviously enriched in summer[(12.8±1.9)‰]compared with that in winter[(2.9±4.0)‰]. In addition to the contribution from local sources, the carbon and nitrogen components were mainly affected by the short-range regional emission in northern Hunan and the long-distance transport in the northwest. The MixSIAR model and the PMF model indicated that the vehicle emission source was the main source of carbon components in PM, with contribution rates of 38.9% and 39.3%, respectively. MixSIAR results showed that NO emission sources had a greater impact on nitrogen components in PM of different seasons than NH emission sources, and their contribution was higher in summer (80%) than that in winter (66.8%), among which the NO emissions from coal combustion (summer:36.1%; winter:20.2%) had the largest contribution. By contrast, the PMF model indicated that the main source of nitrogen components was vehicle emissions (59.8%). Combining multiple models to overcome the uncertainty and subjectivity of single-model analysis can provide a theoretical basis for actively controlling and reducing fine particulate matter emissions and effectively dealing with urban aerosol pollution.
基于稳定同位素技术和正定矩阵因子分解(PMF)模型,探讨了黄石市环境空气中颗粒物(PM)中碳、氮组分的污染特征及来源。结果表明,黄石市环境空气中PM的总碳浓度[(TC)]和总碳同位素组成(δ¹³C)均呈现冬季高、夏季低的季节变化特征,夏季分别为(4.4±1.2)μg·m⁻³和(-26.3±0.5)‰,冬季分别为(9.9±3.5)μg·m⁻³和(-25.5±0.5)‰。总氮浓度[(TN)]夏季[(9.1±9.1)μg·m⁻³]显著低于冬季[(62.4±26.4)μg·m⁻³],而总氮同位素组成(δ¹⁵N)夏季[(12.8±1.9)‰]明显高于冬季[(2.9±4.0)‰]。除本地源贡献外,碳、氮组分主要受湘北短距离区域排放及西北远距离传输影响。MixSIAR模型和PMF模型表明,机动车排放源是PM中碳组分的主要来源,贡献率分别为38.9%和39.3%。MixSIAR结果表明,NO排放源对不同季节PM中氮组分的影响大于NH排放源,且其夏季贡献率(80%)高于冬季(66.8%),其中燃煤排放的NO贡献最大(夏季:36.1%;冬季:20.2%)。相比之下,PMF模型表明氮组分的主要来源是机动车排放(59.8%)。综合多种模型克服单模型分析的不确定性和主观性,可为积极控制和减少细颗粒物排放、有效应对城市气溶胶污染提供理论依据。