Nitrogen isotope fractionation during gas-to-particle conversion of NO<sub><i>x</i></sub> to NO<sub>3</sub><sup>−</sup> in the atmosphere – implications for isotope-based NO<sub><i>x</i></sub> source apportionment
<p>Atmospheric fine-particle (PM<sub>2.5</sub>) pollution is frequently associated with the formation of particulate nitrate (<i>p</i>NO<sub>3</sub><sup>−</sup>), the end product of the oxidation of NO<sub><i>x</i></sub>...
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Copernicus Publications
2018-08-01
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Series: | Atmospheric Chemistry and Physics |
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Y. Chang Y. Chang Y. Chang Y. Zhang Y. Zhang Y. Zhang C. Tian S. Zhang X. Ma F. Cao F. Cao F. Cao X. Liu X. Liu X. Liu W. Zhang W. Zhang W. Zhang T. Kuhn M. F. Lehmann |
spellingShingle |
Y. Chang Y. Chang Y. Chang Y. Zhang Y. Zhang Y. Zhang C. Tian S. Zhang X. Ma F. Cao F. Cao F. Cao X. Liu X. Liu X. Liu W. Zhang W. Zhang W. Zhang T. Kuhn M. F. Lehmann Nitrogen isotope fractionation during gas-to-particle conversion of NO<sub><i>x</i></sub> to NO<sub>3</sub><sup>−</sup> in the atmosphere – implications for isotope-based NO<sub><i>x</i></sub> source apportionment Atmospheric Chemistry and Physics |
author_facet |
Y. Chang Y. Chang Y. Chang Y. Zhang Y. Zhang Y. Zhang C. Tian S. Zhang X. Ma F. Cao F. Cao F. Cao X. Liu X. Liu X. Liu W. Zhang W. Zhang W. Zhang T. Kuhn M. F. Lehmann |
author_sort |
Y. Chang |
title |
Nitrogen isotope fractionation during gas-to-particle conversion of NO<sub><i>x</i></sub> to NO<sub>3</sub><sup>−</sup> in the atmosphere – implications for isotope-based NO<sub><i>x</i></sub> source apportionment |
title_short |
Nitrogen isotope fractionation during gas-to-particle conversion of NO<sub><i>x</i></sub> to NO<sub>3</sub><sup>−</sup> in the atmosphere – implications for isotope-based NO<sub><i>x</i></sub> source apportionment |
title_full |
Nitrogen isotope fractionation during gas-to-particle conversion of NO<sub><i>x</i></sub> to NO<sub>3</sub><sup>−</sup> in the atmosphere – implications for isotope-based NO<sub><i>x</i></sub> source apportionment |
title_fullStr |
Nitrogen isotope fractionation during gas-to-particle conversion of NO<sub><i>x</i></sub> to NO<sub>3</sub><sup>−</sup> in the atmosphere – implications for isotope-based NO<sub><i>x</i></sub> source apportionment |
title_full_unstemmed |
Nitrogen isotope fractionation during gas-to-particle conversion of NO<sub><i>x</i></sub> to NO<sub>3</sub><sup>−</sup> in the atmosphere – implications for isotope-based NO<sub><i>x</i></sub> source apportionment |
title_sort |
nitrogen isotope fractionation during gas-to-particle conversion of no<sub><i>x</i></sub> to no<sub>3</sub><sup>−</sup> in the atmosphere – implications for isotope-based no<sub><i>x</i></sub> source apportionment |
publisher |
Copernicus Publications |
series |
Atmospheric Chemistry and Physics |
issn |
1680-7316 1680-7324 |
publishDate |
2018-08-01 |
description |
<p>Atmospheric fine-particle (PM<sub>2.5</sub>) pollution is frequently associated
with the formation of particulate nitrate (<i>p</i>NO<sub>3</sub><sup>−</sup>), the
end product of the oxidation of NO<sub><i>x</i></sub> gases
(NO + NO<sub>2</sub>) in the upper troposphere. The application of
stable nitrogen (N) (and oxygen) isotope analyses of
<i>p</i>NO<sub>3</sub><sup>−</sup> to constrain NO<sub><i>x</i></sub> source
partitioning in the atmosphere requires knowledge of the isotope
fractionation during the reactions leading to nitrate formation. Here we
determined the <i>δ</i><sup>15</sup>N values of fresh
<i>p</i>NO<sub>3</sub><sup>−</sup> (<i>δ</i><sup>15</sup>N–<i>p</i>NO<sub>3</sub><sup>−</sup>)
in PM<sub>2.5</sub> at a rural site in northern China, where atmospheric
<i>p</i>NO<sub>3</sub><sup>−</sup> can be attributed exclusively to biomass burning.
The observed <i>δ</i><sup>15</sup>N–<i>p</i>NO<sub>3</sub><sup>−</sup> (12.17±1.55 ‰; <i>n</i> = 8) was much higher than the N isotopic source signature
of NO<sub><i>x</i></sub> from biomass burning (1.04±4.13 ‰). The
large difference between <i>δ</i><sup>15</sup>N–<i>p</i>NO<sub>3</sub><sup>−</sup> and
<i>δ</i><sup>15</sup>N–NO<sub><i>x</i></sub> (Δ(<i>δ</i><sup>15</sup>N)) can
be reconciled by the net N isotope effect
(<i>ε</i><sub>N</sub>)
associated with the gas–particle conversion from NO<sub><i>x</i></sub> to
NO<sub>3</sub><sup>−</sup>. For the biomass burning site, a mean
<i>ε</i><sub>N</sub>( ≈ Δ(<i>δ</i><sup>15</sup>N)) of 10.99±0.74 ‰ was assessed through a newly developed computational quantum
chemistry (CQC) module. <i>ε</i><sub>N</sub> depends on the relative
importance of the two dominant N isotope exchange reactions involved
(NO<sub>2</sub> reaction with OH versus hydrolysis of dinitrogen pentoxide
(N<sub>2</sub>O<sub>5</sub>) with H<sub>2</sub>O) and varies between regions and on a
diurnal basis. A second, slightly higher CQC-based mean value for
<i>ε</i><sub>N</sub> (15.33±4.90 ‰) was estimated for an
urban site with intense traffic in eastern China and integrated in a
Bayesian isotope mixing model to make isotope-based source apportionment
estimates for NO<sub><i>x</i></sub> at this site. Based on the
<i>δ</i><sup>15</sup>N values (10.93±3.32 ‰; <i>n</i> = 43) of ambient
<i>p</i>NO<sub>3</sub><sup>−</sup> determined for the urban site, and considering
the location-specific estimate for <i>ε</i><sub>N</sub>, our results
reveal that the relative contribution of coal combustion and road traffic to
urban NO<sub><i>x</i></sub> is 32 % ± 11 % and 68 %± 11 %,
respectively. This finding agrees well with a regional bottom-up emission
inventory of NO<sub><i>x</i></sub>. Moreover, the variation pattern of OH
contribution to ambient <i>p</i>NO<sub>3</sub><sup>−</sup> formation calculated by
the CQC module is consistent with that simulated by the Weather Research and
Forecasting model coupled with Chemistry (WRF-Chem), further confirming the
robustness of our estimates. Our investigations also show that, without the
consideration of the N isotope effect during
<i>p</i>NO<sub>3</sub><sup>−</sup> formation, the observed
<i>δ</i><sup>15</sup>N–<i>p</i>NO<sub>3</sub><sup>−</sup> at the study site would
erroneously imply that NO<sub><i>x</i></sub> is derived almost entirely from
coal combustion. Similarly, reanalysis of reported
<i>δ</i><sup>15</sup>N–NO<sub>3</sub><sup>−</sup> data throughout China and its
neighboring areas suggests that NO<sub><i>x</i></sub> emissions from coal
combustion may be substantively overestimated (by > 30 %) when the N
isotope fractionation during atmospheric <i>p</i>NO<sub>3</sub><sup>−</sup>
formation is neglected.</p> |
url |
https://www.atmos-chem-phys.net/18/11647/2018/acp-18-11647-2018.pdf |
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doaj-98ca6d5d682f4b8fb90cf3488d65bd992020-11-24T23:39:29ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242018-08-0118116471166110.5194/acp-18-11647-2018Nitrogen isotope fractionation during gas-to-particle conversion of NO<sub><i>x</i></sub> to NO<sub>3</sub><sup>−</sup> in the atmosphere – implications for isotope-based NO<sub><i>x</i></sub> source apportionmentY. Chang0Y. Chang1Y. Chang2Y. Zhang3Y. Zhang4Y. Zhang5C. Tian6S. Zhang7X. Ma8F. Cao9F. Cao10F. Cao11X. Liu12X. Liu13X. Liu14W. Zhang15W. Zhang16W. Zhang17T. Kuhn18M. F. Lehmann19Yale–NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science & Technology, Nanjing 210044, ChinaKey Laboratory of Meteorological Disaster, Ministry of Education (KLME)/ Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, ChinaJiangsu Provincial Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaYale–NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science & Technology, Nanjing 210044, ChinaKey Laboratory of Meteorological Disaster, Ministry of Education (KLME)/ Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, ChinaJiangsu Provincial Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaKey Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 4888 Shengbei Road, Changchun 130102, ChinaKey Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Earth System Modeling Center, Nanjing University of Information Science and Technology, Nanjing 10044, ChinaYale–NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science & Technology, Nanjing 210044, ChinaKey Laboratory of Meteorological Disaster, Ministry of Education (KLME)/ Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, ChinaJiangsu Provincial Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaYale–NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science & Technology, Nanjing 210044, ChinaKey Laboratory of Meteorological Disaster, Ministry of Education (KLME)/ Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, ChinaJiangsu Provincial Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaYale–NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science & Technology, Nanjing 210044, ChinaKey Laboratory of Meteorological Disaster, Ministry of Education (KLME)/ Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, ChinaJiangsu Provincial Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaAquatic and Isotope Biogeochemistry, Department of Environmental Sciences, University of Basel, 4056 Basel, SwitzerlandAquatic and Isotope Biogeochemistry, Department of Environmental Sciences, University of Basel, 4056 Basel, Switzerland<p>Atmospheric fine-particle (PM<sub>2.5</sub>) pollution is frequently associated with the formation of particulate nitrate (<i>p</i>NO<sub>3</sub><sup>−</sup>), the end product of the oxidation of NO<sub><i>x</i></sub> gases (NO + NO<sub>2</sub>) in the upper troposphere. The application of stable nitrogen (N) (and oxygen) isotope analyses of <i>p</i>NO<sub>3</sub><sup>−</sup> to constrain NO<sub><i>x</i></sub> source partitioning in the atmosphere requires knowledge of the isotope fractionation during the reactions leading to nitrate formation. Here we determined the <i>δ</i><sup>15</sup>N values of fresh <i>p</i>NO<sub>3</sub><sup>−</sup> (<i>δ</i><sup>15</sup>N–<i>p</i>NO<sub>3</sub><sup>−</sup>) in PM<sub>2.5</sub> at a rural site in northern China, where atmospheric <i>p</i>NO<sub>3</sub><sup>−</sup> can be attributed exclusively to biomass burning. The observed <i>δ</i><sup>15</sup>N–<i>p</i>NO<sub>3</sub><sup>−</sup> (12.17±1.55 ‰; <i>n</i> = 8) was much higher than the N isotopic source signature of NO<sub><i>x</i></sub> from biomass burning (1.04±4.13 ‰). The large difference between <i>δ</i><sup>15</sup>N–<i>p</i>NO<sub>3</sub><sup>−</sup> and <i>δ</i><sup>15</sup>N–NO<sub><i>x</i></sub> (Δ(<i>δ</i><sup>15</sup>N)) can be reconciled by the net N isotope effect (<i>ε</i><sub>N</sub>) associated with the gas–particle conversion from NO<sub><i>x</i></sub> to NO<sub>3</sub><sup>−</sup>. For the biomass burning site, a mean <i>ε</i><sub>N</sub>( ≈ Δ(<i>δ</i><sup>15</sup>N)) of 10.99±0.74 ‰ was assessed through a newly developed computational quantum chemistry (CQC) module. <i>ε</i><sub>N</sub> depends on the relative importance of the two dominant N isotope exchange reactions involved (NO<sub>2</sub> reaction with OH versus hydrolysis of dinitrogen pentoxide (N<sub>2</sub>O<sub>5</sub>) with H<sub>2</sub>O) and varies between regions and on a diurnal basis. A second, slightly higher CQC-based mean value for <i>ε</i><sub>N</sub> (15.33±4.90 ‰) was estimated for an urban site with intense traffic in eastern China and integrated in a Bayesian isotope mixing model to make isotope-based source apportionment estimates for NO<sub><i>x</i></sub> at this site. Based on the <i>δ</i><sup>15</sup>N values (10.93±3.32 ‰; <i>n</i> = 43) of ambient <i>p</i>NO<sub>3</sub><sup>−</sup> determined for the urban site, and considering the location-specific estimate for <i>ε</i><sub>N</sub>, our results reveal that the relative contribution of coal combustion and road traffic to urban NO<sub><i>x</i></sub> is 32 % ± 11 % and 68 %± 11 %, respectively. This finding agrees well with a regional bottom-up emission inventory of NO<sub><i>x</i></sub>. Moreover, the variation pattern of OH contribution to ambient <i>p</i>NO<sub>3</sub><sup>−</sup> formation calculated by the CQC module is consistent with that simulated by the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem), further confirming the robustness of our estimates. Our investigations also show that, without the consideration of the N isotope effect during <i>p</i>NO<sub>3</sub><sup>−</sup> formation, the observed <i>δ</i><sup>15</sup>N–<i>p</i>NO<sub>3</sub><sup>−</sup> at the study site would erroneously imply that NO<sub><i>x</i></sub> is derived almost entirely from coal combustion. Similarly, reanalysis of reported <i>δ</i><sup>15</sup>N–NO<sub>3</sub><sup>−</sup> data throughout China and its neighboring areas suggests that NO<sub><i>x</i></sub> emissions from coal combustion may be substantively overestimated (by > 30 %) when the N isotope fractionation during atmospheric <i>p</i>NO<sub>3</sub><sup>−</sup> formation is neglected.</p>https://www.atmos-chem-phys.net/18/11647/2018/acp-18-11647-2018.pdf |