Spatiotemporal Characteristics of Air Quality across Weifang from 2014–2018
Bibliographic Data
| ID | 15480274 |
|---|---|
| Authors | Chengming Li (0000-0001-6760-8625, Chinese Academy of Surveying and Mapping), Zhaoxin Dai (0000-0001-8194-9530, Chinese Academy of Surveying and Mapping, corresponding author), Lina Yang (0000-0003-4431-7213, Chinese Academy of Surveying and Mapping), Zhaoting Ma (0009-0003-5269-8906, Chinese Academy of Surveying and Mapping) |
| Year | 2019 |
| Volume | 16 |
| Issue | 17 |
| Pages | 3122-3122 |
| Publication date | 2019-08-27 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph16173122 |
| PMID | 31461986 |
| OpenAlex | W2970253514 |
| Language | EN |
| Citations received | 4 |
| References cited | 33 |
Air pollution has become a severe threat and challenge in China. Focusing on air quality in a heavily polluted city (Weifang Cty), this study aims to investigate spatial and temporal distribution characteristics of air pollution and identify the influence of weather factors on primary pollutants in Weifang over a long period from 2014-2018. The results indicate the annual Air quality Index (AQI) in Weifang has decreased since 2014 but is still far from the standard for excellent air quality. The primary pollutants are O 3 (Ozone), PM 10 (Particles with aerodynamic diameter ≤10 μm), and PM 2.5 (Particles with aerodynamic diameter ≤10 μm); the annual concentrations of PM 10 and PM 2.5 show a significant reduction but that of O 3 is basically unchanged. Seasonally, PM 10 and PM 2.5 show a U-shaped pattern, while O 3 exhibits inverted U-shaped variations, and different pollutants also present different characteristics daily. Spatially, O 3 exhibits a high level in the central region and a low level in the rural areas, while PM 10 and PM 2.5 are high in the northwest and low in the southeast. Additionally, the concentration of pollutants is greatly affected by meteorological factors, with PM 2.5 being negatively correlated with temperature and wind speed, while O 3 is positively correlated with the temperature. This research investigated the spatiotemporal characteristics of the air pollution and provided important policy advice based on the findings, which can be used to mitigate air pollution
Aerodynamic diameter · Aerosol · Air pollutants · Air pollution · Air Pollution Index · Air quality index · Atmospheric sciences · Criteria air contaminants · Geography · Meteorology · Ozone · Particulates · Pollutant · Wind speed · Air Quality and Health Impacts · Air Quality Monitoring and Forecasting · Atmospheric chemistry and aerosols · Environmental Science · Pollution
Investigation of the Impact of Land-Use Distribution on PM2.5 in Weifang
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Spatial and temporal distribution characteristics of ground-level nitrogen dioxide and ozone across China during 2015–2020
Spatio-Temporal Characteristics of SO2 across Weifang from 2008 to 2020
Health Effects of Fine Particulate Air Pollution
Spatiotemporal characteristics of PM2.5 and its associated gas pollutants, a case in China
Spatial and Temporal Variations of PM2.5 and Its Relation to Meteorological Factors in the Urban Area of Nanjing, China
Spatial-Temporal Evolution of PM2.5 Concentration and its Socioeconomic Influence Factors in Chinese Cities in 2014–2017
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| Unique citing works | 4 |
|---|---|
| Citations per year | 0,67 |
| Citation span | 2020 - 2021 (2) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 4 |