Air pollution in Germany: Spatio-temporal variations and their driving factors based on continuous data from 2008 to 2018
文献类型：期刊论文
| 作者 | Liu, Xiansheng3,4; Hadiatullah, Hadiatullah5; Tai, Pengfei6; Xu, Yanling1; Zhang, Xun2,7; Schnelle-Kreis, Juergen3; Schloter-Hai, Brigitte3; Zimmermann, Ralf3,4 |
| 刊名 | ENVIRONMENTAL POLLUTION
 |
| 出版日期 | 2021-05-01 |
| 卷号 | 276页码:11 |
| ISSN号 | 0269-7491 |
| 关键词 | Air pollution Spatio-temporal variation Gaseous pollutants Meteorological factors Natural source contribution |
| DOI | 10.1016/j.envpol.2021.116732 |
| 通讯作者 | Zhang, Xun(zhangxun@btbu.edu.cn) |
| 英文摘要 | This study analyzed long-term observational data of particulate matter (PM2.5, PM10) variability, gaseous pollutants (CO, NO2, NOx, SO2, and O-3), and meteorological factors in 412 fixed monitoring stations from January 2008 to December 2018 in Germany. Based on Hurst index analysis, the trend of atmospheric pollutants in Germany was stable during the research period. The relative correlations of gaseous pollutants and meteorological factors on PM2.5 and PM10 concentrations were analyzed by Back Propagation Neural Network model, showing that CO and temperature had the greater correlations with PM2.5 and PM10. Following that, PM2.5 and PM10 show a strong positive correlation (R 2 = 0.96, p < 0.01), suggesting that the reduction of PM2.5 is essential for reducing PM pollution and enhancing air quality in Germany. Based on typical PM10/CO ratios obtained under ideal weather conditions, it is conducive to roughly estimate the contribution of natural sources. In winter, the earth's crust contributed about 20.1% to PM10. Taken together, exploring the prediction methods and analyzing the characteristic variation of pollutants will contribute an essential implication for air quality control in Germany. (C) 2021 Elsevier Ltd. All rights reserved. |
| 资助项目 | China Scholarship Council under the State Scholarship Fund[201706860028] ; Support Project of High-level Teachers in Beijing Municipal Universities in the Period of 13th Five-year Plan[CITTCD201904037] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| 出版者 | ELSEVIER SCI LTD |
| WOS记录号 | WOS:000630774100061 |
| 资助机构 | China Scholarship Council under the State Scholarship Fund ; Support Project of High-level Teachers in Beijing Municipal Universities in the Period of 13th Five-year Plan |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/162108]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, Xun |
| 作者单位 | 1.Qingdao Agr Univ, Coll Plant Hlth & Med, Qingdao 266109, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Resources Utilizat & Environm Remediat, Beijing 100101, Peoples R China 3.German Res Ctr Environm Hlth, Helmholtz Zentrum Munchen, Joint Mass Spectrometry Ctr, Cooperat Grp Comprehens Mol Analyt, Ingolstadter Landstr 1, D-85764 Neuherberg, Germany 4.Univ Rostock, Joint Mass Spectrometry Ctr, Chair Analyt Chem, D-18059 Rostock, Germany 5.Tianjin Univ, Sch Pharmaceut Sci & Technol, Tianjin 300072, Peoples R China 6.Qufu Normal Univ, Sch Geog & Tourism, Rizhao 276826, Peoples R China 7.Beijing Technol & Business Univ, Sch Comp & Informat Engn, Beijing Key Lab Big Data Technol Food Safety, Beijing 100048, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Xiansheng,Hadiatullah, Hadiatullah,Tai, Pengfei,et al. Air pollution in Germany: Spatio-temporal variations and their driving factors based on continuous data from 2008 to 2018[J]. ENVIRONMENTAL POLLUTION,2021,276:11. |
| APA | Liu, Xiansheng.,Hadiatullah, Hadiatullah.,Tai, Pengfei.,Xu, Yanling.,Zhang, Xun.,...&Zimmermann, Ralf.(2021).Air pollution in Germany: Spatio-temporal variations and their driving factors based on continuous data from 2008 to 2018.ENVIRONMENTAL POLLUTION,276,11. |
| MLA | Liu, Xiansheng,et al."Air pollution in Germany: Spatio-temporal variations and their driving factors based on continuous data from 2008 to 2018".ENVIRONMENTAL POLLUTION 276(2021):11. |
入库方式： OAI收割
来源：地理科学与资源研究所
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