Spatiotemporal Trends and Drivers of PM2.5 Concentrations in Shandong Province from 2014 to 2023 Under Socioeconomic Transition
文献类型：期刊论文
| 作者 | Qiao, Shuaisen4; Guo, Qingchun1,2,3,4; He, Zhenfang1,4; Feng, Genyue4; Wang, Zhaosheng5; Li, Xinzhou2 |
| 刊名 | TOXICS
 |
| 出版日期 | 2025-11-13 |
| 卷号 | 13期号:11页码:978 |
| 关键词 | PM2.5 socioeconomic factors meteorological factors geodetector air pollution air temperature wind speed emissions |
| DOI | 10.3390/toxics13110978 |
| 产权排序 | 5 |
| 文献子类 | Article |
| 英文摘要 | China's rapid economic growth since its reform and opening-up has come at the cost of worsening atmospheric pollution. This study investigates the spatiotemporal evolution and driving mechanisms of PM2.5 concentrations in Shandong province, a key industrial region, during 2014-2023, using comprehensive air quality monitoring, meteorological observations, and socioeconomic datasets. Through spatial analysis and geodetector methods, we identify that (1) The annual PM2.5 concentration decreases significantly by 50.9%; spatially, heterogeneity is observed with the western urban agglomeration experiencing more severe pollution, while the eastern coastal urban agglomeration exhibits better air quality. (2) Gravity model analysis shows that the centroids of PM2.5 pollution undergo distinct migration phases. (3) PM2.5 levels show a distinct seasonal pattern, peaking in winter at a level 143.7% higher than the summer average. (4) The meteorological driving factors are primarily air temperature (r = 0.511) and wind speed (r = -0.487), while the socioeconomic factors are tertiary industry production (r = -0.971), particulate matter emissions (r = 0.956), and sulfur dioxide emissions (r = 0.938). Concurrently, the combined effect of tertiary industry production and PM emissions account for 99.5% of PM2.5 variability. Notably, we validate an Environmental Kuznets Curve relationship (R-2 = 0.805) between economic development and air quality improvement, demonstrating that clean production policy integration can reconcile environmental and economic objectives. These findings provide empirical evidence supporting circular economy strategies for air pollution mitigation in industrializing regions. |
| URL标识 | 查看原文 |
| WOS关键词 | TIANJIN-HEBEI REGION ; POLLUTION ; CHINA |
| WOS研究方向 | Environmental Sciences & Ecology ; Toxicology |
| 语种 | 英语 |
| WOS记录号 | WOS:001625553800001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/219402]  |
| 专题 | 生态系统网络观测与模拟院重点实验室_外文论文 |
| 通讯作者 | Guo, Qingchun |
| 作者单位 | 1.Liaocheng Univ, Inst Huanghe Studies, Liaocheng 252000, Peoples R China; 2.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess Sci, Xian 710061, Peoples R China; 3.China Meteorol Adm, Key Lab Atmospher Chem, Beijing 100081, Peoples R China; 4.Liaocheng Univ, Sch Geog & Environm, Liaocheng 252000, Peoples R China; 5.Chinese Acad Sci, Natl Ecosyst Sci Data Ctr, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Qiao, Shuaisen,Guo, Qingchun,He, Zhenfang,et al. Spatiotemporal Trends and Drivers of PM2.5 Concentrations in Shandong Province from 2014 to 2023 Under Socioeconomic Transition[J]. TOXICS,2025,13(11):978. |
| APA | Qiao, Shuaisen,Guo, Qingchun,He, Zhenfang,Feng, Genyue,Wang, Zhaosheng,&Li, Xinzhou.(2025).Spatiotemporal Trends and Drivers of PM2.5 Concentrations in Shandong Province from 2014 to 2023 Under Socioeconomic Transition.TOXICS,13(11),978. |
| MLA | Qiao, Shuaisen,et al."Spatiotemporal Trends and Drivers of PM2.5 Concentrations in Shandong Province from 2014 to 2023 Under Socioeconomic Transition".TOXICS 13.11(2025):978. |
入库方式： OAI收割
来源：地理科学与资源研究所
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