Atmospheric ozone chemistry and control strategies in Hangzhou, China: Application of a 0-D box model

氮氧化物 臭氧 箱形模型 混合比 环境科学 过氧化氢 大气化学 甲苯 环境化学 污染 大气科学 光化学 气象学 化学 激进的 燃烧 有机化学 物理 生态学 生物 地质学
作者
Yanyun Zhao,Xiang Gao,Kangwei Li,Lixia Han,Xin Zhang,Xiang Gao,Merched Azzi,Kefa Cen
出处
期刊:Atmospheric Research [Elsevier BV]
卷期号:246: 105109-105109 被引量:19
标识
DOI:10.1016/j.atmosres.2020.105109
摘要

A field campaign was carried out during May–September of 2018 at three sites in Hangzhou, representing residential (ZH), industrial (XS), and natural (HZHP) areas, respectively. The characteristics of precursors to ozone (O3) - volatile organic compounds (VOCs) and nitrogen (NOx) - revealed observably diversities among the three sites. A 0-D atmospheric box model contained the Master Chemical Mechanism (MCMv3.3.1) was implemented to study the O3-precursor sensitivity and O3 in-situ photochemical processing. The discussion of relative incremental reactivity (RIR) showed that O3 production at HZHP was mostly limited by both VOCs and NOx, while ZH and XS were generally identified as VOC-limited regime. More specifically, ethene, m-xylene, and toluene had the largest contributing to O3 production in Hangzhou. The simulated mixing ratios of hydroxyl radical (OH) were within same level among ZH, XS and HZHP, while the simulated mixing ratios of hydroperoxyl radical (HO2) at HZHP were much higher than the other two sites, indicating the different cyclic processes between OH and HO2 among the three sites. Modellings for various emission reduction scenarios were conducted, and the results implied that different strategies were needed for different areas in order to efficiently reduce O3 pollution. For example, the abatement ratio of anthropogenic VOCs (AVOCs) to NOx mixing ratios should be higher than 1.6 and 2.5 at ZH and XS, respectively, while we should target on reducing NOx instead of AVOCs at HZHP. The obtained results provide policy relevant guidance on understanding the photochemical pollution through fundamental chemical mechanism, and can assist local governments (Hangzhou) in taking effective control strategies to deal with O3 pollution.

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
fung发布了新的文献求助10
刚刚
1秒前
彭彭发布了新的文献求助10
1秒前
爬山虎完成签到,获得积分10
1秒前
xzzz完成签到,获得积分10
1秒前
糖糖科研顺利呀完成签到 ,获得积分10
1秒前
懵懂的仙人掌完成签到,获得积分10
1秒前
nana完成签到,获得积分10
3秒前
3秒前
英俊的铭应助周周采纳,获得10
4秒前
情怀应助ywb采纳,获得10
4秒前
冷静青文发布了新的文献求助10
5秒前
5秒前
5秒前
尹依依完成签到 ,获得积分10
6秒前
11完成签到,获得积分10
6秒前
ccc关闭了ccc文献求助
6秒前
newman完成签到,获得积分10
7秒前
在水一方应助科研通管家采纳,获得10
8秒前
情怀应助科研通管家采纳,获得10
8秒前
Ava应助科研通管家采纳,获得10
8秒前
8秒前
酷炫含桃发布了新的文献求助30
8秒前
molihuakai应助科研通管家采纳,获得30
8秒前
小蘑菇应助科研通管家采纳,获得10
8秒前
l蓝格格发布了新的文献求助10
8秒前
小二郎应助科研通管家采纳,获得30
8秒前
8秒前
星辰大海应助科研通管家采纳,获得10
8秒前
隐形曼青应助科研通管家采纳,获得10
8秒前
JamesPei应助科研通管家采纳,获得10
8秒前
StarChen完成签到,获得积分10
8秒前
研友_VZG7GZ应助CX采纳,获得10
9秒前
研友_VZG7GZ应助科研通管家采纳,获得20
9秒前
Copyright应助Adeline采纳,获得10
9秒前
今后应助科研通管家采纳,获得10
9秒前
9秒前
molihuakai应助科研通管家采纳,获得10
9秒前
机灵自中完成签到,获得积分10
9秒前
充电宝应助科研通管家采纳,获得10
9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
Geist der Kunst und Kultur 1000
Social Psychology in the Real World 800
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7410669
求助须知:如何正确求助?哪些是违规求助? 9014716
关于积分的说明 19200020
捐赠科研通 7042577
什么是DOI,文献DOI怎么找? 3233176
关于科研通互助平台的介绍 2395481
邀请新用户注册赠送积分活动 2215239