Institute of Surface-Earth System Science, Tianjin University, Tianjin 300072, China.
Institute of Surface-Earth System Science, Tianjin University, Tianjin 300072, China.
Sci Total Environ. 2020 Jan 20;701:134515. doi: 10.1016/j.scitotenv.2019.134515. Epub 2019 Nov 14.
Tracking of reactive nitrogen (N) sources is important for the effective mitigation of N emissions. By combining the N and oxygen (O) isotopes of atmospheric NO, stable isotope mixing models were recently applied to evaluate the relative contributions of major NO sources. However, it has long been unresolved how to accurately constrain the δN differences between NO and corresponding NO (ε values). Here, we first incorporated the HC oxidation (NO → NO) pathway by using ΔO values to evaluate the ε values, performed on NO in PM collected during the day and at night from January 4-13, 2015 at an urban site in Beijing. We found that the ΔO-based ε values (ε) (15.6 ± 7.4‰) differed distinctly from δO-based ε values (ε) (33.0 ± 9.5‰) so did not properly incorporate the isotopic effects of the HC oxidation (NO → NO) pathway. Based on the ε values, δN values of NO from coal combustion (CC), vehicle exhausts (VE), biomass burning (BB), and the microbial N cycle (MC), as well as NO in PM, we further quantified the source contributions by using Stable Isotope Analysis in R (the SIAR model). We found that the respective fractional contributions of CC-NO and MC-NO were underestimated by 64% and were overestimated by 216% by using ε values. We concluded that the new ε values reduced uncertainties in contribution analysis and the evaluation method for atmospheric NO sources.
追踪活性氮 (N) 源对于有效减少 N 排放非常重要。最近,通过将大气 NO 的 N 和氧 (O) 同位素结合起来,应用稳定同位素混合模型来评估主要 NO 源的相对贡献。然而,如何准确限制 NO 和相应 NO(ε 值)之间的 δN 差异长期以来一直没有得到解决。在这里,我们首先通过使用 ΔO 值来评估 ε 值,将 HC 氧化(NO→NO)途径纳入其中,评估了在北京城区一个站点于 2015 年 1 月 4 日至 13 日白天和夜间采集的 PM 中 NO 的 ε 值。我们发现基于 ΔO 的 ε 值(ε)(15.6±7.4‰)与基于 δO 的 ε 值(ε)(33.0±9.5‰)有明显差异,因此不能正确纳入 HC 氧化(NO→NO)途径的同位素效应。基于 ε 值,我们进一步量化了来自煤燃烧 (CC)、车辆尾气 (VE)、生物质燃烧 (BB) 和微生物 N 循环 (MC) 的 NO 的 δN 值,以及 PM 中的 NO,通过在 R 中进行稳定同位素分析(SIAR 模型)。我们发现,使用 ε 值时,CC-NO 和 MC-NO 的各自分数贡献分别被低估了 64%,被高估了 216%。我们得出结论,新的 ε 值减少了大气 NO 源贡献分析和评估方法的不确定性。