Does Ozone Pollution Share the Same Formation Mechanisms in the Bay Areas of China?

海湾 环境科学 河口 CMAQ 臭氧 中尺度气象学 海风 空气污染 污染 空气质量指数 污染物 大气科学 气候学 海洋学 气象学 地理 地质学 生态学 有机化学 化学 生物
作者
Yangzong Zeren,Beining Zhou,Yanhua Zheng,Fei Jiang,Xiaopu Lyu,Likun Xue,Hongli Wang,Xufei Liu,Hai Guo
出处
期刊:Environmental Science & Technology [American Chemical Society]
卷期号:56 (20): 14326-14337 被引量:7
标识
DOI:10.1021/acs.est.2c05126
摘要

As important regions of transition between land and sea, the three bay areas of Bohai Bay (BHB), Hangzhou Bay (HZB), and Pearl River Estuary (PRE) in China often suffer from severe photochemical pollution despite scarce anthropogenic emissions. To understand the causes of high ozone (O3) concentrations, the high O3 episode days associated with special synoptic systems in the three bays were identified via observations and simulated by the weather research and forecasting coupled with community multiscale air quality (WRF-CMAQ) model. It was revealed that the interaction between synoptic winds and mesoscale breezes resulted in slow wind speeds over the HZB and PRE, where air pollutants transported from upwind cities gained a long residence time and subsequently participated in intensive photochemical reactions. The net O3 production rates within the bay areas were even comparable to those in surrounding cities. This finding was also applicable to BHB but with lower net O3 production rates, while high levels of background O3 and the regional transport from farther upwind BHB partially elevated the O3 concentrations. Hence, these three bay areas served as O3 "pools" which caused the accumulation of air pollutants via atmospheric dynamics and subsequent intense photochemical reactions under certain meteorological conditions. The results may be applicable to other similar ecotones around the world.

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
zho应助剁椒鱼头采纳,获得10
刚刚
2秒前
2秒前
asdfghj发布了新的文献求助10
3秒前
3秒前
NY完成签到,获得积分10
3秒前
pan liu完成签到,获得积分10
4秒前
4秒前
4秒前
烟花应助茶壶喝茶采纳,获得30
4秒前
连秋发布了新的文献求助10
5秒前
6秒前
CodeCraft应助丁的采纳,获得10
6秒前
ying发布了新的文献求助10
7秒前
wy发布了新的文献求助10
7秒前
77发布了新的文献求助10
7秒前
小楼昨夜又东风完成签到 ,获得积分10
8秒前
hhhhh发布了新的文献求助10
8秒前
慕青应助pudding采纳,获得10
8秒前
9秒前
asdfghj完成签到,获得积分10
9秒前
可乐3分甜完成签到,获得积分10
10秒前
W-博艺发布了新的文献求助10
12秒前
yy发布了新的文献求助10
12秒前
13秒前
生动丸子完成签到 ,获得积分10
14秒前
moon完成签到,获得积分10
15秒前
星辰大海应助天真的以亦采纳,获得10
15秒前
领导范儿应助朱奕韬采纳,获得10
17秒前
18秒前
邓巧发布了新的文献求助10
18秒前
CipherSage应助Maestro_S采纳,获得10
19秒前
小蘑菇应助饱满雁开采纳,获得10
20秒前
Ash完成签到,获得积分20
21秒前
123完成签到 ,获得积分10
22秒前
22秒前
22秒前
小马甲应助Ash采纳,获得10
25秒前
徐同学完成签到,获得积分10
26秒前
27秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Matrix Methods in Data Mining and Pattern Recognition 510
Reading and Understanding Health Research 500
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
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 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 7250909
求助须知:如何正确求助?哪些是违规求助? 8873568
关于积分的说明 18728593
捐赠科研通 6930513
什么是DOI,文献DOI怎么找? 3199237
关于科研通互助平台的介绍 2374280
邀请新用户注册赠送积分活动 2173916