Relative importance of meteorological variables on air quality and role of boundary layer height
To gain insight on the meteorological effects of air pollution, we study the relative importance of surface meteorological variables and boundary layer height (BLH) on six major air pollutants according to the orders of variables being selected in a forward variable selection algorithm. It is found...
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Veröffentlicht in: | Atmospheric environment (1994) 2021-12, Vol.267, p.118737, Article 118737 |
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creator | Huang, Yaxuan Guo, Bin Sun, Haoxuan Liu, Huijie Chen, Song Xi |
description | To gain insight on the meteorological effects of air pollution, we study the relative importance of surface meteorological variables and boundary layer height (BLH) on six major air pollutants according to the orders of variables being selected in a forward variable selection algorithm. It is found that there was a strong agreement in the orders of relative importance for the major pollutants among six major cities in North China, which implies regularities in the meteorological processes of air pollution in that region. In particular, PM2.5, PM10, SO2 and CO shared a common variable importance order and were mostly impacted by the dew point temperature and air pressure, while the NO2 and O3 were mostly influenced by the boundary layer height (BLH) and temperature, respectively. We evaluate the impacts of BLH on the pollution levels given the surface meteorological variables. It is found that BLH can be well modeled by the surface meteorological variables. Thus, air quality assessment without using BLH would also produce adequate results.
•Stable orders of meteorological effects on six air pollutants in North China.•Boundary layer height's effects can be modeled by the surface meteorological variables.•PM2.5, PM10, SO2 and CO shared a common order of variable importance. |
doi_str_mv | 10.1016/j.atmosenv.2021.118737 |
format | Article |
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•Stable orders of meteorological effects on six air pollutants in North China.•Boundary layer height's effects can be modeled by the surface meteorological variables.•PM2.5, PM10, SO2 and CO shared a common order of variable importance.</abstract><cop>OXFORD</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.atmosenv.2021.118737</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-2338-0873</orcidid></addata></record> |
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source | ScienceDirect Journals (5 years ago - present); Web of Science - Science Citation Index Expanded - 2021<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" /> |
subjects | Air quality assessment Environmental Sciences Environmental Sciences & Ecology Life Sciences & Biomedicine Meteorological effects Meteorology & Atmospheric Sciences Physical Sciences Science & Technology Statistical learning Variable selection |
title | Relative importance of meteorological variables on air quality and role of boundary layer height |
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