Tri-clustering-based exploration of spatio-temporal heterogeneity of six criteria air pollutants and their relationships in China
文献类型：期刊论文
| 作者 | Wu, Xiaojing1,2 |
| 刊名 | FRONTIERS IN EARTH SCIENCE
 |
| 出版日期 | 2022-10-21 |
| 卷号 | 10页码:14 |
| 关键词 | air pollution varying relationships tri-clustering non-linear China |
| DOI | 10.3389/feart.2022.951510 |
| 通讯作者 | Wu, Xiaojing(wuxj@igsnrr.ac.cn) |
| 英文摘要 | Severe air pollution in China has become a challenging issue because of its adverse health effects. The distribution of air pollutants and their relationships exhibits spatio-temporal heterogeneity due to influences by meteorological and socioeconomic factors. Investigation of spatio-temporal variations of criteria air pollutants and their relationships, thus, helps understand the current status and further assist pollution prevention and control. Even though many studies have been conducted, relationships among pollutants are non-linear due to complicated chemical reactions and were difficult to model by linear analyses in previous studies. Here, we presented a tri-clustering-based method, the Bregman cuboid average tri-clustering algorithm with I-divergence (BCAT_I), to explore spatio-temporal heterogeneity of air pollutants and their relationships in China. Concentrations of PM2.5, PM10, CO, SO2, NO2, and O-3 in 31 provincial cities in 2021 were used as the case study dataset. Results showed that air pollutants except O-3 exhibited spatial and seasonal variations, i.e., low in summer in southern cities and high in winter in northern cities. Variations of PMs were more similar to those of CO than other pollutants in southern cities in 2021. Results also found that relationships among these air pollutants were heterogeneous in different regions and time periods in China. Moreover, with the increasing level of NO2 from summer to winter in northern cities, concentrations of O-3 first decreased and then increased. This is because the response of O-3 to NO2 was negative at the low pollution level due to the titration reaction, which, however, changed to positive when concentrations of NO2 became high. |
| WOS关键词 | PROVINCIAL CAPITAL CITIES ; GASEOUS-POLLUTANTS ; PARTICULATE MATTER ; NONLINEAR RESPONSE ; TEMPORAL VARIATION ; POLLUTION ; PM2.5 ; PATTERNS ; CO ; VARIABILITY |
| 资助项目 | National Natural Science Foundation of China ; [42030509] ; [41901317] |
| WOS研究方向 | Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:000879896900001 |
| 出版者 | FRONTIERS MEDIA SA |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/186741]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wu, Xiaojing |
| 作者单位 | 1.Chinese Acad Sci, Natl Ecosyst Sci Data Ctr, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu, Xiaojing. Tri-clustering-based exploration of spatio-temporal heterogeneity of six criteria air pollutants and their relationships in China[J]. FRONTIERS IN EARTH SCIENCE,2022,10:14. |
| APA | Wu, Xiaojing.(2022).Tri-clustering-based exploration of spatio-temporal heterogeneity of six criteria air pollutants and their relationships in China.FRONTIERS IN EARTH SCIENCE,10,14. |
| MLA | Wu, Xiaojing."Tri-clustering-based exploration of spatio-temporal heterogeneity of six criteria air pollutants and their relationships in China".FRONTIERS IN EARTH SCIENCE 10(2022):14. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。