The Modulation of Meteorological Parameters on Surface PM2.5 and O3 Concentrations in Guangzhou, China
Abstract PM2.5 and ozone (O3) are two major pollutants that are worsening air quality in China. Using Guangzhou as a case study, we analyzed the meteorological data and air quality data for 2014–2016 obtained by 4 weather stations and 10 environmental monitoring stations, respectively, and assessed...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2020-07-01
|
| Series: | Aerosol and Air Quality Research |
| Subjects: | |
| Online Access: | https://doi.org/10.4209/aaqr.2020.03.0084 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1825197522397691904 |
|---|---|
| author | Qiaoli Bu Yingying Hong Haobo Tan Li Liu Chunlin Wang Jianjun Zhu Pakwai Chan Chen Chen |
| author_facet | Qiaoli Bu Yingying Hong Haobo Tan Li Liu Chunlin Wang Jianjun Zhu Pakwai Chan Chen Chen |
| author_sort | Qiaoli Bu |
| collection | DOAJ |
| description | Abstract PM2.5 and ozone (O3) are two major pollutants that are worsening air quality in China. Using Guangzhou as a case study, we analyzed the meteorological data and air quality data for 2014–2016 obtained by 4 weather stations and 10 environmental monitoring stations, respectively, and assessed the influence of significant meteorological parameters on the hourly PM2.5 concentration and the daily maximum 8-hour-averaged (MDA8) O3 concentration. Calculating each factor’s critical values for these concentrations, we found that the hourly PM2.5 concentration tended to increase when the relative humidity was > 50%, the hourly rainfall intensity was ≤ 0.6 mm hour−1, or the wind speed was ≤ 1.8 m s−1 but otherwise decreased, whereas the MDA8 O3 concentration tended to increase when the sunshine duration was > 4 hours, the maximum temperature was > 29°C, or the average daily wind speed was ≤ 1.8 m s−1 but otherwise decreased. The wind direction was also a crucial factor, as Guangzhou typically experienced severe air pollution when westerlies prevailed. Applying the critical values of these various meteorological parameters as indicators of air quality, we discovered that the least favorable weather conditions during the study period occurred in 2014. These results further our understanding of the relationship between weather conditions and pollutant concentrations. Following the novel approach proposed in this study, meteorological parameters can be utilized to forecast the air quality or compare the effects of weather on pollution between different years. |
| format | Article |
| id | doaj-art-982e21b8430b4a3c8d57d287cbd145a3 |
| institution | Kabale University |
| issn | 1680-8584 2071-1409 |
| language | English |
| publishDate | 2020-07-01 |
| publisher | Springer |
| record_format | Article |
| series | Aerosol and Air Quality Research |
| spelling | doaj-art-982e21b8430b4a3c8d57d287cbd145a32025-02-09T12:20:40ZengSpringerAerosol and Air Quality Research1680-85842071-14092020-07-0121111810.4209/aaqr.2020.03.0084The Modulation of Meteorological Parameters on Surface PM2.5 and O3 Concentrations in Guangzhou, ChinaQiaoli Bu0Yingying Hong1Haobo Tan2Li Liu3Chunlin Wang4Jianjun Zhu5Pakwai Chan6Chen Chen7Meteorological Bureau of Foshan CityEcological Meteorology Center of Guangdong ProvinceMeteorological Bureau of Foshan CityKey Laboratory of Regional Numerical Weather Prediction, Guangzhou Institute of Tropical and Marine MeteorologyGuangzhou Climate and Agrometeorology CenterMeteorological Bureau of Liwan DistrictHong Kong ObservatoryMeteorological Bureau of Foshan CityAbstract PM2.5 and ozone (O3) are two major pollutants that are worsening air quality in China. Using Guangzhou as a case study, we analyzed the meteorological data and air quality data for 2014–2016 obtained by 4 weather stations and 10 environmental monitoring stations, respectively, and assessed the influence of significant meteorological parameters on the hourly PM2.5 concentration and the daily maximum 8-hour-averaged (MDA8) O3 concentration. Calculating each factor’s critical values for these concentrations, we found that the hourly PM2.5 concentration tended to increase when the relative humidity was > 50%, the hourly rainfall intensity was ≤ 0.6 mm hour−1, or the wind speed was ≤ 1.8 m s−1 but otherwise decreased, whereas the MDA8 O3 concentration tended to increase when the sunshine duration was > 4 hours, the maximum temperature was > 29°C, or the average daily wind speed was ≤ 1.8 m s−1 but otherwise decreased. The wind direction was also a crucial factor, as Guangzhou typically experienced severe air pollution when westerlies prevailed. Applying the critical values of these various meteorological parameters as indicators of air quality, we discovered that the least favorable weather conditions during the study period occurred in 2014. These results further our understanding of the relationship between weather conditions and pollutant concentrations. Following the novel approach proposed in this study, meteorological parameters can be utilized to forecast the air quality or compare the effects of weather on pollution between different years.https://doi.org/10.4209/aaqr.2020.03.0084Meteorological parametersCritical valuePM2.5OzoneGuangzhou |
| spellingShingle | Qiaoli Bu Yingying Hong Haobo Tan Li Liu Chunlin Wang Jianjun Zhu Pakwai Chan Chen Chen The Modulation of Meteorological Parameters on Surface PM2.5 and O3 Concentrations in Guangzhou, China Aerosol and Air Quality Research Meteorological parameters Critical value PM2.5 Ozone Guangzhou |
| title | The Modulation of Meteorological Parameters on Surface PM2.5 and O3 Concentrations in Guangzhou, China |
| title_full | The Modulation of Meteorological Parameters on Surface PM2.5 and O3 Concentrations in Guangzhou, China |
| title_fullStr | The Modulation of Meteorological Parameters on Surface PM2.5 and O3 Concentrations in Guangzhou, China |
| title_full_unstemmed | The Modulation of Meteorological Parameters on Surface PM2.5 and O3 Concentrations in Guangzhou, China |
| title_short | The Modulation of Meteorological Parameters on Surface PM2.5 and O3 Concentrations in Guangzhou, China |
| title_sort | modulation of meteorological parameters on surface pm2 5 and o3 concentrations in guangzhou china |
| topic | Meteorological parameters Critical value PM2.5 Ozone Guangzhou |
| url | https://doi.org/10.4209/aaqr.2020.03.0084 |
| work_keys_str_mv | AT qiaolibu themodulationofmeteorologicalparametersonsurfacepm25ando3concentrationsinguangzhouchina AT yingyinghong themodulationofmeteorologicalparametersonsurfacepm25ando3concentrationsinguangzhouchina AT haobotan themodulationofmeteorologicalparametersonsurfacepm25ando3concentrationsinguangzhouchina AT liliu themodulationofmeteorologicalparametersonsurfacepm25ando3concentrationsinguangzhouchina AT chunlinwang themodulationofmeteorologicalparametersonsurfacepm25ando3concentrationsinguangzhouchina AT jianjunzhu themodulationofmeteorologicalparametersonsurfacepm25ando3concentrationsinguangzhouchina AT pakwaichan themodulationofmeteorologicalparametersonsurfacepm25ando3concentrationsinguangzhouchina AT chenchen themodulationofmeteorologicalparametersonsurfacepm25ando3concentrationsinguangzhouchina AT qiaolibu modulationofmeteorologicalparametersonsurfacepm25ando3concentrationsinguangzhouchina AT yingyinghong modulationofmeteorologicalparametersonsurfacepm25ando3concentrationsinguangzhouchina AT haobotan modulationofmeteorologicalparametersonsurfacepm25ando3concentrationsinguangzhouchina AT liliu modulationofmeteorologicalparametersonsurfacepm25ando3concentrationsinguangzhouchina AT chunlinwang modulationofmeteorologicalparametersonsurfacepm25ando3concentrationsinguangzhouchina AT jianjunzhu modulationofmeteorologicalparametersonsurfacepm25ando3concentrationsinguangzhouchina AT pakwaichan modulationofmeteorologicalparametersonsurfacepm25ando3concentrationsinguangzhouchina AT chenchen modulationofmeteorologicalparametersonsurfacepm25ando3concentrationsinguangzhouchina |