Spatiotemporal trends and ecological disparities of PM2.5 and vegetation coverage in Anhui Province
文献类型：期刊论文
| 作者 | Li, Yunhao3; Guo, Jia1; Han, Chenyang3; Wang, Xiangge3; Shi, Mingjie2,3 |
| 刊名 | FRONTIERS IN ENVIRONMENTAL SCIENCE
 |
| 出版日期 | 4600 |
| 卷号 | 13页码:1717796 |
| 关键词 | PM2.5 spatiotemporal evolution Anhui Province fractional vegetation cover correlation analysis |
| DOI | 10.3389/fenvs.2025.1717796 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Vegetation in natural ecosystems plays a significant role in regulating atmospheric PM2.5 pollution; however, systematic and comprehensive research on the spatiotemporal heterogeneity of PM2.5 and its dominant driving mechanisms in Anhui Province remains limited. To address this gap, this study utilized PM2.5 concentration and fractional vegetation cover (FVC) data with a spatial resolution of 1 km and a monthly temporal resolution from 2015 to 2023, and employed multiple analytical methods, including slope trend analysis, hotspot analysis, standard deviation ellipse, and Spearman correlation analysis, to reveal the spatiotemporal characteristics of PM2.5 and its relationship with FVC across Anhui Province. The results demonstrated a consistent downward trend in annual average PM2.5 concentrations from 2015 to 2023, indicating continuous air quality improvement. Seasonal variations displayed a periodic pattern characterized by significant increases in winter and marked decreases in summer, inversely corresponding to the seasonal variation trend of FVC. Spatially, PM2.5 pollution hotspots were predominantly concentrated in northern urban areas, whereas cold spots were primarily distributed in southern mountainous regions, and the centroid of pollution shifted southwestward. Spearman correlation analysis showed a significant negative correlation between PM2.5 and FVC at the seasonal temporal scale (r = -0.80, P < 0.01). Pixel-wise correlation analysis further indicated significant negative correlations in most regions, with mountainous areas exhibiting stronger negative correlations due to higher FVC. These findings provide theoretical support for formulating region-specific air pollution control measures and ecological planning strategies in Anhui Province. |
| URL标识 | 查看原文 |
| WOS关键词 | PARTICULATE AIR-POLLUTION ; CHEMICAL-COMPOSITION ; CHINA ; FIREWORKS ; CITIES |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001651933300001 |
| 出版者 | FRONTIERS MEDIA SA |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/219513]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Shi, Mingjie |
| 作者单位 | 1.Xinjiang Univ, Coll Ecol & Environm, Urumqi, Peoples R China; 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China 3.Xinjiang Agr Univ, Xinjiang Key Lab Soil & Plant Ecol Proc, Urumqi, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Li, Yunhao,Guo, Jia,Han, Chenyang,et al. Spatiotemporal trends and ecological disparities of PM2.5 and vegetation coverage in Anhui Province[J]. FRONTIERS IN ENVIRONMENTAL SCIENCE,4600,13:1717796. |
| APA | Li, Yunhao,Guo, Jia,Han, Chenyang,Wang, Xiangge,&Shi, Mingjie.(4600).Spatiotemporal trends and ecological disparities of PM2.5 and vegetation coverage in Anhui Province.FRONTIERS IN ENVIRONMENTAL SCIENCE,13,1717796. |
| MLA | Li, Yunhao,et al."Spatiotemporal trends and ecological disparities of PM2.5 and vegetation coverage in Anhui Province".FRONTIERS IN ENVIRONMENTAL SCIENCE 13(4600):1717796. |
入库方式： OAI收割
来源：地理科学与资源研究所
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