Measurement report: Assessment of Asian emissions of ethane and propane with a chemistry transport model based on observations from the island of Hateruma
<p>The island of Hateruma is the southernmost inhabited island of Japan. Here we interpret observations of ethane (C<span class="inline-formula"><sub>2</sub></span>H<span class="inline-formula"><sub>6</sub></span>) and propane...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2023-08-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | https://acp.copernicus.org/articles/23/9229/2023/acp-23-9229-2023.pdf |
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| author | A. R. Adedeji S. J. Andrews M. J. Rowlinson M. J. Rowlinson M. J. Evans M. J. Evans A. C. Lewis A. C. Lewis S. Hashimoto H. Mukai H. Tanimoto Y. Tohjima T. Saito |
| author_facet | A. R. Adedeji S. J. Andrews M. J. Rowlinson M. J. Rowlinson M. J. Evans M. J. Evans A. C. Lewis A. C. Lewis S. Hashimoto H. Mukai H. Tanimoto Y. Tohjima T. Saito |
| author_sort | A. R. Adedeji |
| collection | DOAJ |
| description | <p>The island of Hateruma is the southernmost inhabited island of Japan. Here we interpret observations of ethane (C<span class="inline-formula"><sub>2</sub></span>H<span class="inline-formula"><sub>6</sub></span>) and propane (C<span class="inline-formula"><sub>3</sub></span>H<span class="inline-formula"><sub>8</sub></span>) together with carbon monoxide (CO), nitrogen oxides (NO<span class="inline-formula"><sub><i>x</i></sub></span> and NO<span class="inline-formula"><sub><i>y</i></sub></span>) and ozone (O<span class="inline-formula"><sub>3</sub></span>) carried out in the island in 2018 with the GEOS-Chem atmospheric chemistry transport model. We simulated the mixing ratios of these species within a nested grid centred over the site, with a model resolution of 0.5<span class="inline-formula"><sup>∘</sup></span> <span class="inline-formula">×</span> 0.625<span class="inline-formula"><sup>∘</sup></span>. We use the Community Emissions Data System (CEDS) dataset for anthropogenic emissions and add a geological source of C<span class="inline-formula"><sub>2</sub></span>H<span class="inline-formula"><sub>6</sub></span> and C<span class="inline-formula"><sub>3</sub></span>H<span class="inline-formula"><sub>8</sub></span>. The model captured the seasonality of primary pollutants (CO, C<span class="inline-formula"><sub>2</sub></span>H<span class="inline-formula"><sub>6</sub></span>, C<span class="inline-formula"><sub>3</sub></span>H<span class="inline-formula"><sub>8</sub></span>) at the site – high mixing ratios in the winter months when oxidation rates are low and flow is from the north and low mixing ratios in the summer months when oxidation rates are higher and flow is from the south. It also simulates many of the synoptic-scale events with Pearson's correlation coefficients (<span class="inline-formula"><i>r</i></span>) of 0.74, 0.88 and 0.89 for CO, C<span class="inline-formula"><sub>2</sub></span>H<span class="inline-formula"><sub>6</sub></span> and C<span class="inline-formula"><sub>3</sub></span>H<span class="inline-formula"><sub>8</sub></span>, respectively. Mixing ratios of CO are simulated well by the model (slope of the linear fit between model results and measurements is 0.91), but simulated mixing ratios of C<span class="inline-formula"><sub>2</sub></span>H<span class="inline-formula"><sub>6</sub></span> and C<span class="inline-formula"><sub>3</sub></span>H<span class="inline-formula"><sub>8</sub></span> are significantly lower than the observations (slopes of the linear fit between model results and measurements are 0.57 and 0.41, respectively), most noticeably in the winter months. Simulated NO<span class="inline-formula"><sub><i>x</i></sub></span> mixing ratios were underestimated, but NO<span class="inline-formula"><sub><i>y</i></sub></span> appears to be overestimated. The mixing ratio of O<span class="inline-formula"><sub>3</sub></span> is moderately well simulated (slope of the linear fit between model results and observations is 0.76, with an <span class="inline-formula"><i>r</i></span> of 0.87), but there is a tendency to underestimate mixing ratios in the winter months.
By switching off the model's biomass burning emissions we show that during winter, biomass burning has limited influence on the mixing ratios of compounds but can represent a more sizeable fraction in the summer. We also show that increasing the anthropogenic emissions of C<span class="inline-formula"><sub>2</sub></span>H<span class="inline-formula"><sub>6</sub></span> and C<span class="inline-formula"><sub>3</sub></span>H<span class="inline-formula"><sub>8</sub></span> within the domain by factors of 2.22 and 3.17 increases the model's ability to simulate these species in the winter months, consistent with previous studies.</p> |
| first_indexed | 2024-03-12T13:59:04Z |
| format | Article |
| id | doaj.art-b15e0dc0a7a8423bb627ea1a2d9c9e8e |
| institution | Directory Open Access Journal |
| issn | 1680-7316 1680-7324 |
| language | English |
| last_indexed | 2024-03-12T13:59:04Z |
| publishDate | 2023-08-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Chemistry and Physics |
| spelling | doaj.art-b15e0dc0a7a8423bb627ea1a2d9c9e8e2023-08-22T10:43:14ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242023-08-01239229924410.5194/acp-23-9229-2023Measurement report: Assessment of Asian emissions of ethane and propane with a chemistry transport model based on observations from the island of HaterumaA. R. Adedeji0S. J. Andrews1M. J. Rowlinson2M. J. Rowlinson3M. J. Evans4M. J. Evans5A. C. Lewis6A. C. Lewis7S. Hashimoto8H. Mukai9H. Tanimoto10Y. Tohjima11T. Saito12Wolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, York, UKWolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, York, UKWolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, York, UKNational Centre for Atmospheric Science, Department of Chemistry, University of York, York, UKWolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, York, UKNational Centre for Atmospheric Science, Department of Chemistry, University of York, York, UKWolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, York, UKNational Centre for Atmospheric Science, Department of Chemistry, University of York, York, UKNational Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, JapanNational Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, JapanNational Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, JapanNational Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, JapanNational Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan<p>The island of Hateruma is the southernmost inhabited island of Japan. Here we interpret observations of ethane (C<span class="inline-formula"><sub>2</sub></span>H<span class="inline-formula"><sub>6</sub></span>) and propane (C<span class="inline-formula"><sub>3</sub></span>H<span class="inline-formula"><sub>8</sub></span>) together with carbon monoxide (CO), nitrogen oxides (NO<span class="inline-formula"><sub><i>x</i></sub></span> and NO<span class="inline-formula"><sub><i>y</i></sub></span>) and ozone (O<span class="inline-formula"><sub>3</sub></span>) carried out in the island in 2018 with the GEOS-Chem atmospheric chemistry transport model. We simulated the mixing ratios of these species within a nested grid centred over the site, with a model resolution of 0.5<span class="inline-formula"><sup>∘</sup></span> <span class="inline-formula">×</span> 0.625<span class="inline-formula"><sup>∘</sup></span>. We use the Community Emissions Data System (CEDS) dataset for anthropogenic emissions and add a geological source of C<span class="inline-formula"><sub>2</sub></span>H<span class="inline-formula"><sub>6</sub></span> and C<span class="inline-formula"><sub>3</sub></span>H<span class="inline-formula"><sub>8</sub></span>. The model captured the seasonality of primary pollutants (CO, C<span class="inline-formula"><sub>2</sub></span>H<span class="inline-formula"><sub>6</sub></span>, C<span class="inline-formula"><sub>3</sub></span>H<span class="inline-formula"><sub>8</sub></span>) at the site – high mixing ratios in the winter months when oxidation rates are low and flow is from the north and low mixing ratios in the summer months when oxidation rates are higher and flow is from the south. It also simulates many of the synoptic-scale events with Pearson's correlation coefficients (<span class="inline-formula"><i>r</i></span>) of 0.74, 0.88 and 0.89 for CO, C<span class="inline-formula"><sub>2</sub></span>H<span class="inline-formula"><sub>6</sub></span> and C<span class="inline-formula"><sub>3</sub></span>H<span class="inline-formula"><sub>8</sub></span>, respectively. Mixing ratios of CO are simulated well by the model (slope of the linear fit between model results and measurements is 0.91), but simulated mixing ratios of C<span class="inline-formula"><sub>2</sub></span>H<span class="inline-formula"><sub>6</sub></span> and C<span class="inline-formula"><sub>3</sub></span>H<span class="inline-formula"><sub>8</sub></span> are significantly lower than the observations (slopes of the linear fit between model results and measurements are 0.57 and 0.41, respectively), most noticeably in the winter months. Simulated NO<span class="inline-formula"><sub><i>x</i></sub></span> mixing ratios were underestimated, but NO<span class="inline-formula"><sub><i>y</i></sub></span> appears to be overestimated. The mixing ratio of O<span class="inline-formula"><sub>3</sub></span> is moderately well simulated (slope of the linear fit between model results and observations is 0.76, with an <span class="inline-formula"><i>r</i></span> of 0.87), but there is a tendency to underestimate mixing ratios in the winter months. By switching off the model's biomass burning emissions we show that during winter, biomass burning has limited influence on the mixing ratios of compounds but can represent a more sizeable fraction in the summer. We also show that increasing the anthropogenic emissions of C<span class="inline-formula"><sub>2</sub></span>H<span class="inline-formula"><sub>6</sub></span> and C<span class="inline-formula"><sub>3</sub></span>H<span class="inline-formula"><sub>8</sub></span> within the domain by factors of 2.22 and 3.17 increases the model's ability to simulate these species in the winter months, consistent with previous studies.</p>https://acp.copernicus.org/articles/23/9229/2023/acp-23-9229-2023.pdf |
| spellingShingle | A. R. Adedeji S. J. Andrews M. J. Rowlinson M. J. Rowlinson M. J. Evans M. J. Evans A. C. Lewis A. C. Lewis S. Hashimoto H. Mukai H. Tanimoto Y. Tohjima T. Saito Measurement report: Assessment of Asian emissions of ethane and propane with a chemistry transport model based on observations from the island of Hateruma Atmospheric Chemistry and Physics |
| title | Measurement report: Assessment of Asian emissions of ethane and propane with a chemistry transport model based on observations from the island of Hateruma |
| title_full | Measurement report: Assessment of Asian emissions of ethane and propane with a chemistry transport model based on observations from the island of Hateruma |
| title_fullStr | Measurement report: Assessment of Asian emissions of ethane and propane with a chemistry transport model based on observations from the island of Hateruma |
| title_full_unstemmed | Measurement report: Assessment of Asian emissions of ethane and propane with a chemistry transport model based on observations from the island of Hateruma |
| title_short | Measurement report: Assessment of Asian emissions of ethane and propane with a chemistry transport model based on observations from the island of Hateruma |
| title_sort | measurement report assessment of asian emissions of ethane and propane with a chemistry transport model based on observations from the island of hateruma |
| url | https://acp.copernicus.org/articles/23/9229/2023/acp-23-9229-2023.pdf |
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