[Spatial and temporal variations of near surface atmospheric CO2 with mobile measurements in fall and spring in Xiamen, China].

环境科学 空间分布 微粒 二氧化碳 空气污染 污染 共同空间格局 空间变异性 大气科学 弹簧(装置) 植被(病理学) 自然地理学 水文学(农业) 地理 化学 遥感 生态学 地质学 机械工程 医学 统计 数学 岩土工程 有机化学 病理 工程类 生物
作者
Yanli Li,Zhenyu Xing,Changkao Mu,Ke Du
出处
期刊:PubMed 卷期号:35 (5): 1671-9
链接
标识
摘要

The study on the spatial distribution of near surface air pollutants carbon dioxide (CO2) and particulate matters (PM) is essential for understanding the pollution characteristics with mobile measurements. Near surface concentrations of CO2, PM and meteorological parameters were measured in Xiamen city, China along the route passing through different functional areas using the mobile laboratory during different time periods of the day [09:00- 12: 00, 13 :00- 16 : 00, 22 : 00-01 : 00 (local time) ] in spring (April) and fall (November), 2013. Carbon dioxide, PM and meteorological parameters data were analyzed for the spatial distribution of CO2 in different functional areas and the relationship of CO2, and PM2.5. During the study period, the measurements started at the northern part of the city, across the suburban area and ended at about 60 km in the southern Xiamen. The spatial distribution of CO2 along the road showed a high CO2 level in the central area of the city and low values in the outlying areas. Different CO2 concentrations were observed at different functional areas because of the differences in emissions from traffic and industry, the emission and absorption by vegetation, and meteorological conditions. The concentrations of CO, at different areas fell into the following order: areas with heavy traffic (477.33 micromol.mol-1 +/- 6. 11 micromol.mol-1 ) > commercial residential area (454. 95 micromol.mol-1 +/- 5.45 micromol.mol-1 ) > the naturalscenic spot (441.01 micromol.mol-1 +/- 6.24 micromol.mol-1 ) >cultivated land (436.79 micromol.mol-1 +/- 1.87 micromol.mol-1 ) > mountain woodlands (434.06 micromol.mol-1 +/-0.31 micromol.mol-1 ). The average CO, concentration in spring 2013 was measured to be 452.04 micromol mol -1 +/- 20.24 micro.mol. mol-1 with the maximum value of 533.10 micromol.mol-1 at the heavy traffic area in downtown Jiahe on April 12, 2013 and the minimum value of 413.25 micromol.mol-1 on April 10, 2013 at the mountain woodland, which is about 23 km away from the downtown area. The mountain woodland is surrounded by a reservoir and woods and regarded as the background area. The average CO2 concentration in fall 2013 was determined to be 451.80 micromol.mol-1 +/-21.56 micromol.mol-1 with the maximum value of 526.45 micromol.mol-1 at a heavy traffic area of Xiahe road in downtown, on November 19, 2013 and the minimum value of 415.01 p.mol.mol-' at the mountain woodland on November 10, 2013. This phenomenon was called "CO2 dome" by Idso in 1998. In addition, the CO2 concentrations tended to be the highest at night (22:00-01:00) and the lowest in afternoon (13:00-16:00). During overcast days, the CO, concentrations were generally higher than those on clear days. At different functional areas, differences between nighttime (22:00-01:00) and daytime (09:00-12:00 and 13:00-16:00) ranged from -0. 66-29.48 micromol.mol-1 in spring and from -4.01 micromol.mol-1-33.69 micromol.mol-1 in fall. The CO2 concentrations at the urban and the suburban areas were also different in spring and autumn and at different time of the day. The CO2 concentration was in significant correlation with PM2.5 (R =0.73, P < 0. 01) indicating the important impact of traffic pollution on the ambient CO2 concentration.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
小马甲应助愉快的定帮采纳,获得10
刚刚
科目三应助自由刺猬采纳,获得20
1秒前
futing完成签到,获得积分10
1秒前
老鼠爱吃fish完成签到,获得积分10
1秒前
xiaoou完成签到,获得积分10
1秒前
科研通AI2S应助VDC采纳,获得10
2秒前
2秒前
胡天萌完成签到 ,获得积分10
2秒前
正义的小怪兽完成签到,获得积分20
2秒前
wanci应助刘星星采纳,获得10
2秒前
完美世界应助jekyll采纳,获得10
3秒前
自然怀梦完成签到,获得积分10
3秒前
3秒前
neo完成签到,获得积分10
4秒前
完美世界应助lyn采纳,获得30
4秒前
情怀应助Jackcaosky采纳,获得200
4秒前
123发布了新的文献求助10
4秒前
buno应助hhh采纳,获得10
5秒前
SYLH应助wltwb采纳,获得10
5秒前
Rui发布了新的文献求助10
5秒前
斯文败类应助快乐小文采纳,获得30
5秒前
7秒前
尹天扬完成签到,获得积分10
8秒前
8秒前
大方大船完成签到,获得积分10
9秒前
Sigyn完成签到,获得积分10
9秒前
顺利琦发布了新的文献求助10
9秒前
9秒前
自由完成签到,获得积分20
10秒前
Volta_zz完成签到,获得积分10
10秒前
10秒前
欣欣子完成签到,获得积分10
11秒前
12秒前
111完成签到 ,获得积分10
12秒前
12秒前
柔弱煎饼发布了新的文献求助30
13秒前
13秒前
曹梦梦完成签到,获得积分10
13秒前
13秒前
风趣霆完成签到,获得积分10
14秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527469
求助须知:如何正确求助?哪些是违规求助? 3107497
关于积分的说明 9285892
捐赠科研通 2805298
什么是DOI,文献DOI怎么找? 1539865
邀请新用户注册赠送积分活动 716714
科研通“疑难数据库(出版商)”最低求助积分说明 709678