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 化学 有机化学 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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
5秒前
搜集达人应助Dylan采纳,获得10
5秒前
6秒前
lllll发布了新的文献求助10
6秒前
breeze发布了新的文献求助10
10秒前
10秒前
呆萌豌豆完成签到 ,获得积分10
11秒前
Jey发布了新的文献求助10
12秒前
12秒前
寻道图强应助鱼儿采纳,获得30
13秒前
14秒前
紫金大萝卜应助美美熊采纳,获得20
14秒前
cctv18应助777采纳,获得10
20秒前
南漂完成签到,获得积分10
22秒前
24秒前
27秒前
27秒前
29秒前
黑痴完成签到,获得积分10
29秒前
122发布了新的文献求助10
29秒前
共享精神应助谨慎招牌采纳,获得10
29秒前
Peyton Why发布了新的文献求助10
30秒前
bkagyin应助zz采纳,获得10
32秒前
123A完成签到,获得积分20
32秒前
懂你的菜发布了新的文献求助10
33秒前
小蘑菇应助元友容采纳,获得10
33秒前
33秒前
FashionBoy应助122采纳,获得10
34秒前
Martin完成签到,获得积分10
36秒前
38秒前
38秒前
温蒂发布了新的文献求助10
38秒前
38秒前
充电宝应助农大彭于晏采纳,获得10
39秒前
小灯完成签到,获得积分10
39秒前
39秒前
zz发布了新的文献求助10
42秒前
英俊的铭应助lllll采纳,获得10
42秒前
42秒前
Peyton Why完成签到,获得积分10
43秒前
高分求助中
请在求助之前详细阅读求助说明!!!! 20000
One Man Talking: Selected Essays of Shao Xunmei, 1929–1939 1000
The Three Stars Each: The Astrolabes and Related Texts 900
Yuwu Song, Biographical Dictionary of the People's Republic of China 700
[Lambert-Eaton syndrome without calcium channel autoantibodies] 520
Bernd Ziesemer - Maos deutscher Topagent: Wie China die Bundesrepublik eroberte 500
A radiographic standard of reference for the growing knee 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2471941
求助须知:如何正确求助?哪些是违规求助? 2138269
关于积分的说明 5449223
捐赠科研通 1862193
什么是DOI,文献DOI怎么找? 926101
版权声明 562752
科研通“疑难数据库(出版商)”最低求助积分说明 495334