[Characterization of Ambient Volatile Organic Compounds, Source Apportionment, and the Ozone-NOx-VOC Sensitivities in Liucheng County, Guangxi].

臭氧 氮氧化物 环境化学 污染 空气污染 环境科学 挥发性有机化合物 生物质燃烧 燃烧 化学 气溶胶 有机化学 生态学 生物
作者
Ying Wu,Mo Zhaoyu,Qin-Qin Wu,Jia-Hui Lu,Jing-Ying Mao,Xue-Mei Chen,Shao-Li Su,Wen Qin,Hui-Lin Liu,Min Wei
出处
期刊:PubMed 卷期号:44 (1): 75-84
标识
DOI:10.13227/j.hjkx.202202207
摘要

Liucheng county, as a suburb of Liuzhou City in Guangxi province, has a prominent ozone (O3) pollution problem; however, there have been no relevant analyses of the cause of local O3 pollution reported. In order to investigate the causes of O3 pollution, an online observation of 116 VOCs with a time resolution of 1 h was carried out in Liucheng county from October 1st to 15th, and the sensitivity of ozone to the relative changes in the NOx and VOCs was analyzed. The results showed that the average value of φ[total volatile organic compounds (TVOCs)] during the observation period was 27.52×10-9, and the average value of φ(TVOCs) during the polluting process (October 1st to 6th) was 32.15×10-9, which was 32.79% higher than that of the non-pollution process (October 8th to 15th). In terms of species concentration, oxygenated volatile organic compounds (OVOCs) contributed the highest, accounting for 43.70%, followed by alkanes (23.00%), aromatics (11.75%), and halocarbons (7.35%). In terms of ozone formation potential (OFP), OVOCs contributed the highest (41.96%) to OFP, followed by aromatics (32.60%) and alkenes (17.92%). During the observation period, VOCs mainly came from motor vehicle emissions (32.44%), biomass combustion sources (29.31%), solvent use sources (16.43%), plant sources (11.34%), and chemical industry emissions (10.49%). The contribution ratios of solvent use sources and plant sources in the pollution process increased by 28.58% and 28.53%, respectively. The EKMA curve shows that, during the observation period, Liucheng county was in a synergistic control area for VOCs and nitric oxide (NOx). Therefore, in the high ozone-occurrence autumn of Liucheng county, the key will be to reduce both VOCs and NOx emissions.

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
SciGPT应助YXY采纳,获得10
2秒前
苹果雁桃发布了新的文献求助10
2秒前
善良果汁发布了新的文献求助10
2秒前
3秒前
学习ing完成签到,获得积分10
3秒前
小二郎应助lb采纳,获得10
4秒前
solar@2030完成签到,获得积分10
4秒前
YAOYAO完成签到,获得积分0
5秒前
123333发布了新的文献求助10
5秒前
xqy完成签到,获得积分10
5秒前
纳川发布了新的文献求助10
5秒前
NCU-Xzzzz完成签到,获得积分10
5秒前
卓垚完成签到,获得积分10
6秒前
WYN完成签到,获得积分10
6秒前
叶子完成签到,获得积分10
6秒前
从容明辉关注了科研通微信公众号
6秒前
ZJL完成签到,获得积分10
7秒前
心念完成签到 ,获得积分10
7秒前
煤袋星云完成签到,获得积分10
8秒前
小Z完成签到,获得积分10
8秒前
perfect完成签到 ,获得积分10
8秒前
Underwood111完成签到,获得积分10
8秒前
王二蛋完成签到,获得积分10
8秒前
苹果雁桃完成签到,获得积分10
8秒前
jasmime完成签到,获得积分10
9秒前
Yasss完成签到,获得积分10
9秒前
Dawn完成签到,获得积分10
9秒前
Atlantis完成签到,获得积分10
9秒前
英俊的铭应助123333采纳,获得10
9秒前
开心的灵枫完成签到 ,获得积分10
10秒前
10秒前
11秒前
史永桂完成签到,获得积分10
11秒前
WHB完成签到,获得积分10
11秒前
Lydia完成签到,获得积分10
12秒前
笑一笑完成签到,获得积分10
12秒前
阿白完成签到,获得积分10
12秒前
神经蛙完成签到 ,获得积分10
12秒前
小怪兽完成签到,获得积分10
13秒前
安江涛完成签到,获得积分10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
The SAGE Dictionary of Qualitative Inquiry 610
Signals, Systems, and Signal Processing 610
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6345052
求助须知:如何正确求助?哪些是违规求助? 8159704
关于积分的说明 17157932
捐赠科研通 5401167
什么是DOI,文献DOI怎么找? 2860686
邀请新用户注册赠送积分活动 1838526
关于科研通互助平台的介绍 1688041