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大气硝酸盐中氧同位素异常研究进展 被引量:6

Oxygen isotope anomaly (Δ^(17)O) in atmospheric nitrate: A review
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摘要 硝酸盐是大气中的主要污染物,其前体物NO_x(NO+NO_2)参与大气中多种光化学反应,可以改变大气氧化特性,有利于细颗粒物的形成,影响气候系统与人类健康.硝酸盐氧同位素异常(Δ^(17)NO_3^-)是解析大气硝酸盐生成途径的有力手段.本文对大气硝酸盐氧同位素异常的研究进展进行了综述.首先列举了测试大气硝酸盐三氧同位素(^(16)O, ^(17)O和^(18)O)的前处理方法(热解法、细菌法和化学法),并对比了全球范围内大气硝酸盐氧同位素异常的时空分布特征.其次总结了大气中硝酸盐生成的主要途径及其氧同位素质量守恒,讨论了大气硝酸盐中氧原子的可能来源及其氧同位素异常值,评估了全球及典型区域尺度上氧同位素异常的模型.最后对大气硝酸盐氧同位素异常的未来研究方向进行了展望. The nitrate is a significant component in atmospheric aerosol and has a great impact on the atmospheric chemistry, fine particulate formation, radiative balance and human health. The oxygen isotope anomaly(Δ17O) is quantified as Δ17O= δ 17O-0.52×δ 18O and it represents the enrichment in 17O relative to 18O over the expected relationship(δ 17O^0.5×δ 18O) in mass dependent fractionation processes. The Δ17O values in atmospheric nitrate(Δ17 NO3-) depend on the mixing of oxygen sources(e.g. O3, H2O and O2) when NOx is photochemically converted into nitrate. In that case, the observation of Δ17 NO3- coupled with photochemical modeling can be used to quantify the relative contribution of each pathway. Here, the recent research progresses of oxygen isotope anomaly of atmospheric nitrate are reviewed. Firstly, the preparation of the triple oxygen isotope(16 O, 17O, 18O) measurement of atmospheric nitrate are compared:(1) The precision of the pyrolysis technique is high(±0.3‰), but this method requires relatively large amount of nitrate(>50 μmol NO3-) and complicated preparations.(2) The size and purification limitations are largely overcomed by the denitrification method conducted with Pseudomonas aureofaciens bacteria. It is suitable for isotopic analysis of nanomolar amounts of nitrate with a precision in Δ17O of ±0.6‰.(3) The reduction-azide technique also has the advantage of high precision(±0.2‰), low detection limit and sample preparation. But the utility of toxic substances(cadmium and azide) are unavoidable in the reduction. Secondly, the global characterization of Δ17 NO3- are compared. Δ17 NO3- tends to be higher in high latitudes than in mid-latitudes, whereas Δ17 NO3- in cold seasons are higher than that in warm seasons. Thirdly, the possible formation pathways of atmospheric nitrate are summarized. NO can be converted to NO2 by O3 or HO2/RO2 in NOx cycle, and then oxidized into nitrate via NO2+·OH, NO3+ HC/DMS or N2 O5 hydrolysis. Reactive halogen(e.g. BrO) and HNO4 photolysis can also play an important role in nitrate formation in polar regions. Nitrate oxidized by ·OH have lower Δ17O values, and higher Δ17 NO3-normally suggests more O3 oxidation. Fourthly, the Δ17O values of oxygen sources that contribute to nitrate are introduced. Among all the oxygen sources(O3, ·OH, HO2/RO2, O2 and tropospheric water), only the Δ17O of ozone is exhibited with high value(25‰–37‰), other compounds are considered to have Δ17O ~0‰. Therefore, the Δ17 NO3-from each pathway can be presented based on these values. Next, the photochemical box model and other atmospheric chemical models simulating the Δ17 NO3- on regional and global scale are summarized. The photochemical box model is limited for not considering the transport of atmospheric nitrate from neighboring regions. The 3-D model is more advanced than the box model for including vertical and horizontal transport, and incorporating spatial variations in surface fluxes of important primary pollutants such as NOx and VOCs. Finally, the future directions and the application of the researches on Δ17 NO3- in the field of atmospheric chemistry are proposed:(1) The target areas of Δ17 NO3- observation should be expanded to cover more different regions such as polluted urban and rural areas.(2) More studies are in need for decreasing the uncertainties in the simulation of Δ17 NO3-.(3) The nitrate formation mechanism under different atmospheric conditions in various regions still needs to be better understood.(4) The study of oxygen isotope anomaly should be coupled with other approaches in atmospheric research(e.g. air quality modeling and online observation of chemical composition in atmospheric aerosols).
作者 张雯淇 章炎麟 Wenqi Zhang;Yanlin Zhang(Yale-NUIST Center on Atmospheric Environment,International Joint Laboratory on Climate and Environment Change(ILCEC),Nanjing University of Information Science&Technology,Nanjing 210044,China;Jiangsu Provincial Key Laboratory of Agricultural Meteorology,College of Applied Meteorology,Nanjing University of Information Science&Technology,Nanjing 210044,China)
出处 《科学通报》 EI CAS CSCD 北大核心 2019年第7期649-662,共14页 Chinese Science Bulletin
基金 国家重点研发计划(2017YFC0212704 2017YFC0210101) 国家自然科学基金(91644103 41761144056 41603104) 江苏省自然科学杰出青年基金(BK20180040)资助
关键词 大气硝酸盐 氧同位素异常(Δ17O) 硝酸盐生成途径 非质量同位素分馏 大气化学模型 atmospheric nitrate oxygen isotope anomaly(Δ17O) nitrate formation pathways mass independent fractionation atmospheric chemistry model
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