Institutional Repository of Key Laboratory of Coastal Zone Environmental Processes, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences (KLCEP)
Long-term variations and trends of tropospheric and ground-level NO 2 over typical coastal areas | |
Tian, Xin-Peng1,2; Wang, De1,2; Wang, Yue-Qi1,2; Gao, Zhi-Qiang1,2; Tian, Chong-Guo1,2; Bi, Xiao-Li1,2; Ning, Ji-Cai1,2 | |
发表期刊 | ECOLOGICAL INDICATORS |
ISSN | 1470-160X |
2024-07-01 | |
卷号 | 164页码:13 |
关键词 | Ground-level Tropospheric Nitrogen dioxide Coastal regions OMI Patterns and trends |
DOI | 10.1016/j.ecolind.2024.112163 |
通讯作者 | Tian, Xin-Peng([email protected]) |
英文摘要 | Tropospheric and ground-level levels of nitrogen dioxide (NO 2 ) may have changed due to environmental policies and technological changes. Here, multiyear ground-based measurement (2014 - 2022) and satellite-derived retrieval (October 2004 to May 2023) datasets of NO 2 concentrations are used to study the long-term groundlevel and tropospheric NO 2 patterns and trends at four time scales (interannual, quarterly, monthly, and hourly) over the three regions with the highest global NO 2 concentrations. Several tropospheric NO 2 hotspots are observed over industrialized and highly populated coastal zone areas. Over the past 18 years, these hotpots have generally decreased due to the implementation of strong and effective environmental protection policies. A significant trend reversal was observed in 2011 in East-central China. The maximum values of tropospheric NO 2 occurred in winter over East-central China, Western Europe and East-central USA, with concentrations of 13.010, 4.243 and 4.149 x 10 15 molecules cm -2 , respectively. The Bohai Sea exhibited disproportionately high tropospheric NO 2 levels, suggesting it as a significant contributor to regional nitrogen pollution. Ground-level NO2 shows similar temporal patterns to tropospheric concentrations, with over 82.8 % of sites in East-central China exceeding 30 mu g m - 3 , compared to 12.8 % in Western Europe and 3.8 % in East-central USA. The analysis of diurnal variations in ground-level NO 2 concentrations shows a significantly decrease during the daytime compared to nighttime, reflecting that the peak occurs at approximately 08:00 and 20:00 LT, while the lowest concentrations at around 12:00 LT. These insights clarify the impacts of environmental policies on NO 2 levels and identify critical areas for targeted pollution control, enhancing our understanding of NO 2 dynamics in highpollution regions globally. |
资助机构 | National Natural Science Foundation of China ; Shandong Provincial Natural Science Foundation ; Seed project of Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences ; Fundamental Research Projects of Science & Technology Innovation and Development Plan in Yantai City |
收录类别 | SCI |
语种 | 英语 |
关键词[WOS] | NITROGEN-DIOXIDE ; UNITED-STATES ; AIR-QUALITY ; SATELLITE RETRIEVALS ; OZONE ; CHINA ; EMISSIONS ; POLLUTION ; CLIMATE ; MISSION |
研究领域[WOS] | Biodiversity & Conservation ; Environmental Sciences & Ecology |
WOS记录号 | WOS:001244643900001 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.yic.ac.cn/handle/133337/35936 |
专题 | 中国科学院海岸带环境过程与生态修复重点实验室 中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心 |
通讯作者 | Tian, Xin-Peng |
作者单位 | 1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China 2.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Shandong Key Lab Coastal Environm Proc, Yantai 264003, Peoples R China |
推荐引用方式 GB/T 7714 | Tian, Xin-Peng,Wang, De,Wang, Yue-Qi,et al. Long-term variations and trends of tropospheric and ground-level NO 2 over typical coastal areas[J]. ECOLOGICAL INDICATORS,2024,164:13. |
APA | Tian, Xin-Peng.,Wang, De.,Wang, Yue-Qi.,Gao, Zhi-Qiang.,Tian, Chong-Guo.,...&Ning, Ji-Cai.(2024).Long-term variations and trends of tropospheric and ground-level NO 2 over typical coastal areas.ECOLOGICAL INDICATORS,164,13. |
MLA | Tian, Xin-Peng,et al."Long-term variations and trends of tropospheric and ground-level NO 2 over typical coastal areas".ECOLOGICAL INDICATORS 164(2024):13. |
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