Impacts of urban–rural disparities in the trends of PM2.5 and ozone levels in China during 2013–2019

城市化 环境科学 中国 微粒 空气污染 农村地区 臭氧 污染物 污染 大气科学 氮氧化物 自然地理学 地理 气象学 化学 生态学 医学 经济增长 有机化学 考古 经济 病理 地质学 燃烧 生物
作者
Xing Li,Xingli Mao,Keqin Duan
出处
期刊:Atmospheric Pollution Research [Elsevier BV]
卷期号:13 (11): 101590-101590 被引量:3
标识
DOI:10.1016/j.apr.2022.101590
摘要

Fine particulate matter (PM2.5) and ozone (O3) are two important pollutants in China. PM2.5 and O3 concentrations have changed significantly since 2013 because of the Clean Air Action in China. However, the trends in PM2.5 and O3 levels have potentially shown great urban–rural disparities. In this study, urban–rural disparities in PM2.5 and O3 concentration trends during 2013–2019 and their causes were analyzed based on observations from 1343 sites in China. For each site, we defined an urbanization-degree index (UD3) by calculating the urban-area pixel to total pixel ratio within a circular buffer area of 3 km. The PM2.5 decrease rates from 2013 to 2019 increased with increasing UD3 values, relating to greater emission declines in more urbanized areas compared with less urbanized areas. The daily maximum 8 h average O3 increase rates from 2013 to 2019 increased with the increasing UD3 values, relating to larger increases in volatile organic compound emissions and larger declines in NOx (NO + NO2) emissions over more urbanized areas than over less urbanized areas. The PM2.5 and O3 pollution levels were the worst over the Fenwei region, where the PM2.5 and O3 ranks both increased from 2015 to 2019. Our study indicates that urban–rural disparities in PM2.5 and O3 concentrations in China during 2013–2019 have decreased and increased, respectively. PM2.5 and O3 pollution in more urbanized areas were more severe than in less urbanized areas during 2013–2019. Therefore, the emission control strategy should continuously be made stricter for high urbanized areas.

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
初小花完成签到,获得积分10
刚刚
73Jennie123完成签到,获得积分0
刚刚
ssss完成签到,获得积分10
刚刚
大漠苍狼完成签到,获得积分10
刚刚
Copyright应助远之采纳,获得10
刚刚
dola完成签到,获得积分10
刚刚
刚刚
哈基米完成签到,获得积分10
刚刚
Whizzin完成签到,获得积分10
1秒前
生动白安完成签到,获得积分10
2秒前
2秒前
微风完成签到 ,获得积分10
2秒前
加油完成签到,获得积分20
2秒前
Achilles完成签到,获得积分10
2秒前
3秒前
vivi完成签到,获得积分10
3秒前
宋叶舟发布了新的文献求助10
3秒前
mango完成签到,获得积分10
3秒前
agnes完成签到,获得积分10
3秒前
Willows完成签到,获得积分10
4秒前
4秒前
abz完成签到,获得积分10
4秒前
5秒前
木木小飞虫完成签到,获得积分10
5秒前
懒羊羊发布了新的文献求助10
5秒前
Dogo完成签到,获得积分10
6秒前
ef完成签到,获得积分10
6秒前
6秒前
chase完成签到,获得积分10
7秒前
堪妙松发布了新的文献求助60
7秒前
8秒前
子非鱼完成签到,获得积分10
8秒前
wenlu发布了新的文献求助10
9秒前
9秒前
池鸢完成签到,获得积分10
9秒前
倩楠完成签到,获得积分10
9秒前
机智的鬼发布了新的文献求助30
9秒前
龚正龙完成签到,获得积分10
10秒前
awen完成签到,获得积分10
10秒前
15完成签到,获得积分10
10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
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
CLSI M07 2024 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 7248033
求助须知:如何正确求助?哪些是违规求助? 8870886
关于积分的说明 18714425
捐赠科研通 6926960
什么是DOI,文献DOI怎么找? 3198114
关于科研通互助平台的介绍 2373857
邀请新用户注册赠送积分活动 2172968