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首页> 外文期刊>Atmospheric Chemistry and Physics Discussions >The Δ17O and δ18O values of atmospheric nitrates simultaneously collected downwind of anthropogenic sources – implications for polluted air masses
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The Δ17O and δ18O values of atmospheric nitrates simultaneously collected downwind of anthropogenic sources – implications for polluted air masses

机译:大气硝酸盐的δ17o和δ18o值同时收集人为源的下风 - 污染空气群体的影响

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There are clear motivations for better understanding the atmospheric processes that transform nitrogen (N) oxides (NOx) emitted from anthropogenic sources into nitrates (NO3-), two of them being that NO3- contributes to acidification and eutrophication of terrestrial and aquatic ecosystems, and particulate nitrate may play a role in climate dynamics. For these reasons, oxygen isotope delta values (δ18O, Δ17O) are frequently applied to infer the chemical pathways leading to the observed mass-independent isotopic anomalies from interaction with 17O-rich ozone (O3). Recent laboratory experiments suggest that the isotopic equilibrium between NO2 (the main precursor of NO3-) and O3 may take long enough under certain field conditions that nitrates may be formed near emission sources with lower isotopic values than those formed further downwind. Indeed, previously published field measurements of oxygen isotopes in NO3- in precipitation (wNO3-) and in particulate (pNO3-) samples suggest that abnormally low isotopic values might characterize polluted air masses. However, none of the air studies have deployed systems allowing collection of samples specific to anthropogenic sources in order to avoid shifts in isotopic signature due to changing wind directions, or separately characterized gaseous HNO3 with Δ17O values. Here we have used a wind-sector-based, multi-stage filter sampling system and precipitation collector to simultaneously sample HNO3 and pNO3-, and co-collect wNO3-. The nitrates are from various distances (1 to 125km) downwind of different anthropogenic emitters, and consequently from varying time lapses after emission. The separate collection of nitrates shows that the HNO3?δ18O ranges are distinct from those of w- and pNO3-. Interestingly, the Δ17O differences between pNO3- and HNO3 shift from positive during cold sampling periods to negative during warm periods. The low pNO3-Δ17O values observed during warm periods may partly derive from the involvement of 17O-depleted peroxy radicals (RO2) oxidizing NO during that season. Another possibility is that nitrates derive from NOx that has not yet reached isotopic equilibrium with O3. However, these mechanisms, individually or together, cannot explain the observed pNO3 minus HNO3 isotopic changes. We propose differences in dry depositional rates, faster for HNO3, as a mechanism for the observed shifts. Larger proportions of pNO3- formed via the N2O5 pathway would explain the opposite fall–winter patterns. Our results show that the separate HNO3, wNO3- and pNO3- isotopic signals can be used to further our understanding of NOx oxidation and deposition. Future research should investigate all tropospheric nitrate species as well as NOx to refine our understanding of nitrate distribution worldwide and to develop effective emission reduction strategies.
机译:有明确的动机,更好地理解将从人为源源的氮气(N)氧化物(NOx)转化为硝酸盐(NO 3-)的氮(N)氧化物(NOx),其中两个是NO 3-促成酸化和水生生态系统的促进和富营养化,以及颗粒状硝酸盐可能在气候动力学中发挥作用。由于这些原因,氧同位素δ值(Δ18O,Δ17o)经常施加以推断出导致观察到的富含臭氧(O3)的相互作用的观察到的质量同位素异常的化学途径。最近的实验室实验表明,在NO 2(NO 3-)和O3之间的同位素平衡可能在某些现场条件下足够长,即硝酸盐可以在发射源附近形成具有较低同位素值的排放源,而不是进一步下风形成的那些。实际上,先前公布了NO 3-沉淀(WNO3-)和颗粒状(PNO3-)样品中的氧同位素的现场测量表明异常低的同位素值可能表征污染的空气群。然而,任何空气研究都没有部署系统,允许收集特异于人为源的样品,以避免由于风向改变而不是随Δ17O值分别表征气态HNO3的同位素签名。在这里,我们使用了基于风扇的多级滤波器采样系统和沉淀收集器,以同时样品HNO3和PNO3-,并共收集WNO3-。硝酸盐来自不同人体发射器的各种距离(1至125km),因此在发射后从不同的时间流失。单独的硝酸盐集合表明HNO3?Δ18O范围与W-和PNO3-不同。有趣的是,PNO3和HNO3之间的δ17O差异在温度期间在冷采样周期期间从阳性转变为负。在温暖时期观察到的低PNO3-Δ17O值可能部分导出17O耗尽的过氧基团(RO2)在该季节氧化不氧化。另一种可能性是硝酸盐源自尚未达到同位素平衡的NOx与O3。然而,这些机制,单独或在一起,不能解释观察到的PNO3减去HNO3同位素变化。我们提出了干沉积率的差异,即HNO3的速度,作为观察到的变化的机制。通过N2O5途径形成的较大比例的PNO3-形成的PNO3-将解释相反的秋季冬季模式。我们的结果表明,单独的HNO3,WNO3和PNO3-同位素信号可用于进一步了解NOx氧化和沉积。未来的研究应该调查所有对流层硝酸盐物种以及NOx来改善我们对全球硝酸盐分布的理解,并制定有效的减排策略。

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