An analysis of roadside particulate matter pollution and population exposure over the Pearl River Delta region of China under clear-sky condition using new ultra-high-resolution PM 2.5 satellite-retrieval algorithms
Bibliographic Data
| ID | 15547736 |
|---|---|
| Authors | Y Wu (0000-0002-9374-7239, Chinese University of Hong Kong, corresponding author), Harry F Lee (0000-0001-5415-7845, Chinese University of Hong Kong), Ruru Deng (0000-0002-4560-2000, Sun Yat-sen University), R R Deng, Steve Hung Lam Yim (0000-0002-2826-0950, Nanyang Technological University, corresponding author) |
| Year | 2024 |
| Volume | 19 |
| Issue | 3 |
| Pages | 034042-034042 |
| Publication date | 2024-02-13 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/ad28d9 |
| OpenAlex | W4391771044 |
| Language | EN |
| Citations received | 1 |
| References cited | 70 |
Roadside air pollution is one of the serious air pollution problems in urban areas. Even though roadside air pollution has been reported to cause adverse human health impacts, the spatial distribution of roadside air pollution in a large urban agglomeration has yet to be fully assessed. This study aimed to analyse roadside fine particulate matter (PM 2.5 ) pollution and the population exposure in 11 cities in the Pearl River Delta (PRD) region of China. We developed satellite-retrieval algorithms with dark target method, vector support machine model and random forest model to retrieve the spatial distribution of PM 2.5 at an ultra-high-spatial-resolution (30 m) based on 30 m Landsat-8 L1 data. Our results show that the retrieved PM 2.5 had a promising consistency with PM 2.5 measurements at general and roadside stations ( R 2 = 0.86; RMSE = 7.72 μ g m −3 ). Moreover, on average, the roadside PM 2.5 in Dongguan, Foshan, and Guangzhou was relatively higher (up to 107.60 μ g m −3 ) whereas that in Hong Kong was relatively lower (up to 30.40 μ g m −3 ). The roadside PM 2.5 pollution typically occurred in roads for motorized vehicles i.e. motorway, trunk, primary and secondary road. Our results also show that roadside PM 2.5 was up to 17% higher in holidays than in workdays in all the PRD cities except Hong Kong that showed roadside PM 2.5 higher in workdays than in holidays. The population-weighted PM 2.5 decreased with increasing distances from roads in every PRD city, and population-weighted PM 2.5 was estimated to be up to 22% higher at roadsides than at distances of 1500 m away from roads. This study pinpointed the seriousness of roadside air pollution in the PRD region
Air pollution · China · Delta · Environmental health · Geography · Meteorology · Particulates · Physics · Population · Remote sensing · River delta · Satellite · Sky · Air Quality and Health Impacts · Air Quality Monitoring and Forecasting · Atmospheric chemistry and aerosols · Environmental Science · Pollution
Random Forests
Impacts of transboundary air pollution and local emissions on PM 2.5 pollution in the Pearl River Delta region of China and the public health, and the policy implications
Global, regional and local health impacts of civil aviation emissions
Extreme weather, public transport ridership and moderating effect of bus stop shelters
Rediscovering Chinese cities through the lens of land-use patterns
Deciphering the spatial structure of China's megacity region
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |