Evaluating and optimizing PM2.5 stations in Yangtze River Delta from a spatial representativeness perspective
Bibliographic Data
| ID | 21450086 |
|---|---|
| Authors | Heming Bai (0000-0002-1874-154X, Nantong University, corresponding author), Wenkang Gao (0000-0003-0187-5573, Chinese Academy of Sciences), Myeongsu Seong (0000-0002-3472-8062, Nantong University), Rusha Yan (0000-0002-2200-2002, Shanghai Academy of Environmental Sciences), Jing Wei (0000-0001-8167-9075, Earth System Science Interdisciplinary Center), Chong Liu (0009-0007-7425-8847, China Meteorological Administration) |
| Year | 2023 |
| Volume | 154 |
| Pages | 102949 |
| Publication date | 2023-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Applied Geography (JOURNAL) |
| Journal identifiers | ISSN: 0143-6228 • E-ISSN: 1873-7730 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.apgeog.2023.102949 |
| OpenAlex | W4362524145 |
| Language | EN |
| References cited | 35 |
Air quality index · China · Delta · Environmental health · Geography · Land cover · Land use · Meteorology · Physical geography · Population · Representativeness heuristic · Rural area · Statistics · Yangtze river · Air Quality and Health Impacts · Air Quality Monitoring and Forecasting · Climate Change and Health Impacts · Ecology · Environmental Science · Mathematics
Taking Advantage of the Improved Availability of Census Data
Annual maps of global artificial impervious area (Gaia) between 1985 and 2018
Improved 1 km resolution PM 2.5 estimates across China using enhanced space–time extremely randomized trees
Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China
Global burden of 87 risk factors in 204 countries and territories, 1990–2019
Mapping global urban boundaries from the global artificial impervious area (Gaia) data
| Highly cited | No |
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