• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

[南京城市交通甲烷排放特征]

[Characteristics of Methane Emission from Urban Traffic in Nanjing].

作者信息

Zhang Xue, Hu Ning, Liu Shou-Dong, Wang Shu-Min, Gao Yun-Qiu, Zhao Jia-Yu, Zhang Zhen, Hu Yong-Bo, Lee Xu-Hui, Zhang Guo-Jun

机构信息

Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science & Technology, Nanjing 210044, China.

Collaborative Innovation of Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China.

出版信息

Huan Jing Ke Xue. 2017 Feb 8;38(2):469-475. doi: 10.13227/j.hjkx.201606090.

DOI:10.13227/j.hjkx.201606090
PMID:29964501
Abstract

Urban traffic is an important source of greenhouse gases such as CH. The observations on CH are the basis for quantitative analysis of urban carbon emissions. Taken into consideration the weekly and daily changing characteristics of urban traffic, we conducted experiments to analyze the features of traffic CHemission and its influential factors. The experiments were conducted on 3 main roads in Nanjing on Oct. 17, 18, 20, 23, 2014 with 5 periods of observation per day, and in Nanjing Yangtze River tunnel in the morning and at night of Sep.11 2014. The results showed that:① The average concentration of CH on the urban main road of Nanjing city was greater than that of the background atmosphere. Affected by traffic conditions, the spatial difference of ΔCH concentration was significant on three typical main roads. ΔCH concentration's diurnal variation showed inverted "W" type, and its peak appeared in the morning and evening rush hours. ② Due to the "piston wind" in the tunnel, the CH concentration in Nanjing Yangtze River tunnel gradually increased from the inlet to the outlet and the difference of concentration between the inlet and the outlet was 0.21×10-0.38×10. ③ There was a good linear correlation between CH concentration and CO concentration. The atmospheric ΔCH:ΔCO value of urban main road in Nanjing was 0.0091 and the atmospheric ΔCH:ΔCO value of Nanjing Yangtze River Tunnel was 0.00047-0.0014. ④ Traffic volume and the proportion of natural gas vehicles were the main factors influencing atmospheric ΔCH concentration and ΔCH:ΔCO.

摘要

城市交通是甲烷等温室气体的重要排放源。对甲烷的观测是城市碳排放定量分析的基础。考虑到城市交通的周变化和日变化特征,我们开展了实验以分析交通甲烷排放特征及其影响因素。实验于2014年10月17日、18日、20日、23日在南京3条主要道路上进行,每天观测5个时段,并于2014年9月11日早晚在南京长江隧道进行。结果表明:①南京市城市主干道上甲烷的平均浓度高于背景大气浓度。受交通状况影响,三条典型主干道上甲烷浓度的空间差异显著。甲烷浓度的日变化呈倒“W”型,峰值出现在早晚高峰时段。②由于隧道内的“活塞风”,南京长江隧道内甲烷浓度从入口到出口逐渐升高,进出口浓度差为0.21×10 - 0.38×10。③甲烷浓度与一氧化碳浓度之间存在良好的线性相关。南京市城市主干道的大气甲烷与一氧化碳值为0.0091,南京长江隧道的大气甲烷与一氧化碳值为0.00047 - 0.0014。④交通流量和天然气车辆比例是影响大气甲烷浓度和甲烷与一氧化碳比值的主要因素。

相似文献

1
[Characteristics of Methane Emission from Urban Traffic in Nanjing].[南京城市交通甲烷排放特征]
Huan Jing Ke Xue. 2017 Feb 8;38(2):469-475. doi: 10.13227/j.hjkx.201606090.
2
Spatial distribution of greenhouse gases (CO and CH) on expressways in the megacity Shanghai, China.中国特大城市上海高速公路温室气体(CO 和 CH)的空间分布。
Environ Sci Pollut Res Int. 2020 Sep;27(25):31143-31152. doi: 10.1007/s11356-020-09372-1. Epub 2020 May 31.
3
Development and application of an aerosol screening model for size-resolved urban aerosols.用于粒径分辨的城市气溶胶的气溶胶筛选模型的开发与应用。
Res Rep Health Eff Inst. 2014 Jun(179):3-79.
4
[Direct Observation on the Temporal and Spatial Patterns of the CO2 Concentration in the Atmospheric of Nanjing Urban Canyon in Summer].[夏季南京城市峡谷大气中二氧化碳浓度时空格局的直接观测]
Huan Jing Ke Xue. 2015 Jul;36(7):2367-73.
5
Near-real-time estimation of fossil fuel CO emissions from China based on atmospheric observations on Hateruma and Yonaguni Islands, Japan.基于日本波照间岛和与那国岛大气观测数据对中国化石燃料二氧化碳排放量的近实时估算
Prog Earth Planet Sci. 2023;10(1):10. doi: 10.1186/s40645-023-00542-6. Epub 2023 Mar 2.
6
[Differences in atmospheric CO concentration and δC value between green spaces and its adjacent roads as well as the influencing factors in Beijing, China].[中国北京城市绿地及其相邻道路大气CO浓度与δC值差异及影响因素]
Ying Yong Sheng Tai Xue Bao. 2019 Nov;30(11):3844-3854. doi: 10.13287/j.1001-9332.201911.026.
7
Observations of Methane Emissions from Natural Gas-Fired Power Plants.天然气发电站甲烷排放观测。
Environ Sci Technol. 2019 Aug 6;53(15):8976-8984. doi: 10.1021/acs.est.9b01875. Epub 2019 Jul 8.
8
Detection of fossil-fuel CO plummet in China due to COVID-19 by observation at Hateruma.通过观察波照间,发现由于 COVID-19 中国的化石燃料 CO 急剧下降。
Sci Rep. 2020 Oct 29;10(1):18688. doi: 10.1038/s41598-020-75763-6.
9
[Relationship Between CO and CH Emissions in Urban Rivers and Sewage Discharging from a Municipal Drainage Network].[城市河流中一氧化碳和甲烷排放与城市排水管网污水排放之间的关系]
Huan Jing Ke Xue. 2020 Jul 8;41(7):3392-3401. doi: 10.13227/j.hjkx.201912080.
10
[Emission Characteristics of Vehicle Exhaust in Artery and Collector Roads in Nanjing Based on Real-time Traffic Data].
Huan Jing Ke Xue. 2017 Apr 8;38(4):1340-1347. doi: 10.13227/j.hjkx.201608065.

引用本文的文献

1
[Monitoring of atmospheric CH, CO, CO, NO and SF using three-channel gas chromatography].[使用三通道气相色谱法监测大气中的甲烷、一氧化碳、二氧化碳、一氧化氮和六氟化硫]
Se Pu. 2022 Aug;40(8):763-771. doi: 10.3724/SP.J.1123.2022.02011.