Impacts of meteorological uncertainties on the haze formation in Beijing–Tianjin–Hebei (BTH) during wintertime: a case study
In the present study, a persistent heavy haze episode from 13 to 20 January 2014 in Beijing–Tianjin–Hebei (BTH) is simulated using the WRF-CHEM model through ensemble simulations to investigate impacts of meteorological uncertainties on the haze formation. Model results show that uncertainties i...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2017-12-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | https://www.atmos-chem-phys.net/17/14579/2017/acp-17-14579-2017.pdf |
| _version_ | 1828972995858661376 |
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| author | N. Bei J. Wu M. Elser T. Feng J. Cao I. El-Haddad X. Li R. Huang Z. Li X. Long L. Xing S. Zhao X. Tie A. S. H. Prévôt G. Li |
| author_facet | N. Bei J. Wu M. Elser T. Feng J. Cao I. El-Haddad X. Li R. Huang Z. Li X. Long L. Xing S. Zhao X. Tie A. S. H. Prévôt G. Li |
| author_sort | N. Bei |
| collection | DOAJ |
| description | In the present study, a persistent heavy haze episode from 13 to
20 January 2014 in Beijing–Tianjin–Hebei (BTH) is simulated using the
WRF-CHEM model through ensemble simulations to investigate impacts of
meteorological uncertainties on the haze formation. Model results show that
uncertainties in meteorological conditions substantially influence the
aerosol constituent simulations at an observation site in Beijing, and the
ratio of the ensemble spread to the ensemble mean (RESM) exceeds 50 %.
The ensemble mean generally preforms well in reproducing the fine particles'
(PM<sub>2.5</sub>) temporal variations and spatial distributions against
measurements in BTH. The meteorological uncertainties do not alter the
PM<sub>2.5</sub> distribution pattern in BTH principally or dominate the haze
formation and development, but remarkably affect the simulated PM<sub>2.5</sub>
level, and the RESM for the simulated PM<sub>2.5</sub> concentrations can be up to
30 % at the regional scale. In addition, the rather large RESM in
PM<sub>2.5</sub> simulations at the city scale also causes difficulties in
evaluation of the control strategies. Therefore, our results suggest that the
ensemble simulation is imperative to take into account the impact of the
meteorological uncertainties on the haze prediction. |
| first_indexed | 2024-12-14T13:38:21Z |
| format | Article |
| id | doaj.art-bb93b2839208495ead0b59e67b29293e |
| institution | Directory Open Access Journal |
| issn | 1680-7316 1680-7324 |
| language | English |
| last_indexed | 2024-12-14T13:38:21Z |
| publishDate | 2017-12-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Chemistry and Physics |
| spelling | doaj.art-bb93b2839208495ead0b59e67b29293e2022-12-21T22:59:31ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242017-12-0117145791459110.5194/acp-17-14579-2017Impacts of meteorological uncertainties on the haze formation in Beijing–Tianjin–Hebei (BTH) during wintertime: a case studyN. Bei0J. Wu1M. Elser2T. Feng3J. Cao4I. El-Haddad5X. Li6R. Huang7Z. Li8X. Long9L. Xing10S. Zhao11X. Tie12A. S. H. Prévôt13G. Li14School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, ChinaKey Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, ChinaLaboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, SwitzerlandKey Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, ChinaKey Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, ChinaLaboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, SwitzerlandKey Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, ChinaKey Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, ChinaState Environmental Protection Key Laboratory of Satellite Remote Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, ChinaKey Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, ChinaKey Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, ChinaKey Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, ChinaKey Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, ChinaLaboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, SwitzerlandKey Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, ChinaIn the present study, a persistent heavy haze episode from 13 to 20 January 2014 in Beijing–Tianjin–Hebei (BTH) is simulated using the WRF-CHEM model through ensemble simulations to investigate impacts of meteorological uncertainties on the haze formation. Model results show that uncertainties in meteorological conditions substantially influence the aerosol constituent simulations at an observation site in Beijing, and the ratio of the ensemble spread to the ensemble mean (RESM) exceeds 50 %. The ensemble mean generally preforms well in reproducing the fine particles' (PM<sub>2.5</sub>) temporal variations and spatial distributions against measurements in BTH. The meteorological uncertainties do not alter the PM<sub>2.5</sub> distribution pattern in BTH principally or dominate the haze formation and development, but remarkably affect the simulated PM<sub>2.5</sub> level, and the RESM for the simulated PM<sub>2.5</sub> concentrations can be up to 30 % at the regional scale. In addition, the rather large RESM in PM<sub>2.5</sub> simulations at the city scale also causes difficulties in evaluation of the control strategies. Therefore, our results suggest that the ensemble simulation is imperative to take into account the impact of the meteorological uncertainties on the haze prediction.https://www.atmos-chem-phys.net/17/14579/2017/acp-17-14579-2017.pdf |
| spellingShingle | N. Bei J. Wu M. Elser T. Feng J. Cao I. El-Haddad X. Li R. Huang Z. Li X. Long L. Xing S. Zhao X. Tie A. S. H. Prévôt G. Li Impacts of meteorological uncertainties on the haze formation in Beijing–Tianjin–Hebei (BTH) during wintertime: a case study Atmospheric Chemistry and Physics |
| title | Impacts of meteorological uncertainties on the haze formation in Beijing–Tianjin–Hebei (BTH) during wintertime: a case study |
| title_full | Impacts of meteorological uncertainties on the haze formation in Beijing–Tianjin–Hebei (BTH) during wintertime: a case study |
| title_fullStr | Impacts of meteorological uncertainties on the haze formation in Beijing–Tianjin–Hebei (BTH) during wintertime: a case study |
| title_full_unstemmed | Impacts of meteorological uncertainties on the haze formation in Beijing–Tianjin–Hebei (BTH) during wintertime: a case study |
| title_short | Impacts of meteorological uncertainties on the haze formation in Beijing–Tianjin–Hebei (BTH) during wintertime: a case study |
| title_sort | impacts of meteorological uncertainties on the haze formation in beijing tianjin hebei bth during wintertime a case study |
| url | https://www.atmos-chem-phys.net/17/14579/2017/acp-17-14579-2017.pdf |
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