• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

中国、印度和美国的地面 PM 和 PM 浓度比较

Comparison of Ground-Based PM and PM Concentrations in China, India, and the U.S.

机构信息

College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China.

Joint Center for Global Change Studies (JCGCS), Beijing 100875, China.

出版信息

Int J Environ Res Public Health. 2018 Jul 2;15(7):1382. doi: 10.3390/ijerph15071382.

DOI:10.3390/ijerph15071382
PMID:30004395
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6068888/
Abstract

Urbanization and industrialization have spurred air pollution, making it a global problem. An understanding of the spatiotemporal characteristics of PM and PM concentrations (particulate matter with an aerodynamic diameter of less than 2.5 μm and 10 μm, respectively) is necessary to mitigate air pollution. We compared the characteristics of PM and PM concentrations and their trends of China, India, and the U.S. from 2014 to 2017. Particulate matter levels were lowest in the U.S., while China showed higher concentrations, and India showed the highest. Interestingly, significant declines in PM and PM concentrations were found in some of the most polluted regions in China as well as the U.S. No comparable decline was observed in India. A strong seasonal trend was observed in China and India, with the highest values occurring in winter and the lowest in summer. The opposite trend was noted for the U.S. PM was highly correlated with PM for both China and India, but the correlation was poor for the U.S. With regard to reducing particulate matter pollutant concentrations, developing countries can learn from the experiences of developed nations and benefit by establishing and implementing joint regional air pollution control programs.

摘要

城市化和工业化推动了空气污染,使其成为全球性问题。了解 PM 和 PM 浓度(空气动力学直径小于 2.5μm 和 10μm 的颗粒物)的时空特征,对于减轻空气污染至关重要。我们比较了 2014 年至 2017 年中国、印度和美国的 PM 和 PM 浓度特征及其趋势。美国的颗粒物水平最低,而中国的浓度较高,印度的浓度最高。有趣的是,中国和美国一些污染最严重的地区以及美国的 PM 和 PM 浓度都出现了显著下降。而印度则没有观察到可比的下降。中国和印度都表现出很强的季节性趋势,最高值出现在冬季,最低值出现在夏季。而美国则呈现相反的趋势。中国和印度的 PM 与 PM 高度相关,但美国的相关性较差。在降低颗粒物污染物浓度方面,发展中国家可以借鉴发达国家的经验,通过建立和实施联合区域空气污染控制计划从中受益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/6068888/c1b5c8205d1a/ijerph-15-01382-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/6068888/372ed1c87e65/ijerph-15-01382-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/6068888/fe4e7ef3b220/ijerph-15-01382-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/6068888/7e0ed11137bf/ijerph-15-01382-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/6068888/16e17a491dcf/ijerph-15-01382-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/6068888/5da69db690d6/ijerph-15-01382-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/6068888/c8b03433a2e4/ijerph-15-01382-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/6068888/c1b5c8205d1a/ijerph-15-01382-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/6068888/372ed1c87e65/ijerph-15-01382-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/6068888/fe4e7ef3b220/ijerph-15-01382-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/6068888/7e0ed11137bf/ijerph-15-01382-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/6068888/16e17a491dcf/ijerph-15-01382-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/6068888/5da69db690d6/ijerph-15-01382-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/6068888/c8b03433a2e4/ijerph-15-01382-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/6068888/c1b5c8205d1a/ijerph-15-01382-g007.jpg

相似文献

1
Comparison of Ground-Based PM and PM Concentrations in China, India, and the U.S.中国、印度和美国的地面 PM 和 PM 浓度比较
Int J Environ Res Public Health. 2018 Jul 2;15(7):1382. doi: 10.3390/ijerph15071382.
2
Spatial and Temporal Variation of Atmospheric Particulate Matter in Bangalore: A Technology-Intensive Region in India.班加罗尔大气颗粒物的时空变化:印度一个技术密集型地区。
Arch Environ Contam Toxicol. 2019 Aug;77(2):214-222. doi: 10.1007/s00244-019-00643-8. Epub 2019 Jun 5.
3
Annual and diurnal variations of gaseous and particulate pollutants in 31 provincial capital cities based on in situ air quality monitoring data from China National Environmental Monitoring Center.基于中国国家环境监测中心的现场空气质量监测数据,对 31 个省会城市的气态和颗粒物污染物的年际和日变化进行研究。
Environ Int. 2016 Jan;86:92-106. doi: 10.1016/j.envint.2015.11.003. Epub 2015 Nov 9.
4
Air pollution in China: Status and spatiotemporal variations.中国的空气污染:现状与时空变化
Environ Pollut. 2017 Aug;227:334-347. doi: 10.1016/j.envpol.2017.04.075. Epub 2017 May 5.
5
Spatiotemporal characterization and mapping of PM concentrations in southern Jiangsu Province, China.中国江苏省南部 PM 浓度的时空特征描述及制图。
Environ Pollut. 2018 Mar;234:794-803. doi: 10.1016/j.envpol.2017.11.077. Epub 2017 Dec 21.
6
Spatiotemporal variation in residential PM2.5 and PM10 concentrations in China: National on-site survey.中国住宅 PM2.5 和 PM10 浓度的时空变化:全国现场调查。
Environ Res. 2021 Nov;202:111731. doi: 10.1016/j.envres.2021.111731. Epub 2021 Jul 20.
7
Relationships of relative humidity with PM and PM in the Yangtze River Delta, China.中国长江三角洲地区相对湿度与细颗粒物和可吸入颗粒物的关系。
Environ Monit Assess. 2017 Oct 23;189(11):582. doi: 10.1007/s10661-017-6281-z.
8
Spatiotemporal patterns of particulate matter (PM) and associations between PM and mortality in Shenzhen, China.中国深圳颗粒物(PM)的时空分布模式以及PM与死亡率之间的关联。
BMC Public Health. 2016 Mar 2;16:215. doi: 10.1186/s12889-016-2725-6.
9
National air pollution distribution in China and related geographic, gaseous pollutant, and socio-economic factors.中国的国家空气污染分布及相关地理、气态污染物和社会经济因素。
Environ Pollut. 2019 Jul;250:998-1009. doi: 10.1016/j.envpol.2019.03.075. Epub 2019 Apr 1.
10
Spatiotemporal variations and risk assessment of ambient air O, PM and PM in a coastal city of China.中国沿海城市环境空气中 O、PM 和 PM 的时空变化及风险评估。
Ecotoxicology. 2021 Sep;30(7):1333-1342. doi: 10.1007/s10646-020-02295-0. Epub 2020 Nov 1.

引用本文的文献

1
Study on the source of nitrate in atmospheric particulate matter in Beijing using nitrogen and oxygen dual isotopes.利用氮氧双同位素研究北京大气颗粒物中硝酸盐的来源
Sci Rep. 2025 May 25;15(1):18174. doi: 10.1038/s41598-025-01179-9.
2
Ambient air pollution undermines chemosensory sensitivity - a global perspective.环境空气污染损害化学感应敏感性——全球视角。
Sci Rep. 2024 Dec 16;14(1):30462. doi: 10.1038/s41598-024-75067-z.
3
Enhancing Global Estimation of Fine Particulate Matter Concentrations by Including Geophysical Information in Deep Learning.

本文引用的文献

1
A Review of Recent Advances in Research on PM in China.中国 PM 研究进展述评
Int J Environ Res Public Health. 2018 Mar 2;15(3):438. doi: 10.3390/ijerph15030438.
2
Coarse particle (PM) source profiles for emissions from domestic cooking and industrial process in Central India.印度中部家庭烹饪和工业过程排放的粗颗粒 (PM) 源特征。
Sci Total Environ. 2018 Jun 15;627:1137-1145. doi: 10.1016/j.scitotenv.2018.01.289. Epub 2018 Feb 6.
3
Concentration Levels, Pollution Characteristics and Potential Ecological Risk of Dust Heavy Metals in the Metropolitan Area of Beijing, China.
通过在深度学习中纳入地球物理信息来加强全球细颗粒物浓度估计
ACS EST Air. 2024 Mar 27;1(5):332-345. doi: 10.1021/acsestair.3c00054. eCollection 2024 May 10.
4
Population Health Effects of Air Pollution: Fresh Evidence From China Health and Retirement Longitudinal Survey.空气污染对人口健康的影响:来自中国健康与养老追踪调查的新证据。
Front Public Health. 2021 Dec 23;9:779552. doi: 10.3389/fpubh.2021.779552. eCollection 2021.
5
Contrasting Trends of Surface PM, O, and NO and Their Relationships with Meteorological Parameters in Typical Coastal and Inland Cities in the Yangtze River Delta.长三角典型沿海和内陆城市 PM、O 和 NO 表面浓度变化趋势及其与气象参数的关系。
Int J Environ Res Public Health. 2021 Nov 26;18(23):12471. doi: 10.3390/ijerph182312471.
6
Pittsburgh Air Pollution Changes During the COVID-19 Lockdown.新冠疫情封锁期间匹兹堡的空气污染变化
Environ Adv. 2022 Apr;7:100149. doi: 10.1016/j.envadv.2021.100149. Epub 2021 Dec 2.
7
Regulating light-duty vehicle emissions: an overview of US, EU, China and Brazil programs and its effect on air quality.轻型车辆排放监管:美国、欧盟、中国和巴西的计划概述及其对空气质量的影响。
Clean Technol Environ Policy. 2022;24(3):851-862. doi: 10.1007/s10098-021-02238-1. Epub 2021 Nov 20.
8
Exceedances and trends of particulate matter (PM) in five Indian megacities.五个印度特大城市的颗粒物(PM)超标和趋势。
Sci Total Environ. 2021 Jan 1;750:141461. doi: 10.1016/j.scitotenv.2020.141461. Epub 2020 Aug 11.
9
Pediatric Asthma Health Care Utilization, Viral Testing, and Air Pollution Changes During the COVID-19 Pandemic.儿童哮喘保健利用、病毒检测和 COVID-19 大流行期间的空气污染变化。
J Allergy Clin Immunol Pract. 2020 Nov-Dec;8(10):3378-3387.e11. doi: 10.1016/j.jaip.2020.07.057. Epub 2020 Aug 20.
10
Particulate Matter and Albuminuria, Glomerular Filtration Rate, and Incident CKD.颗粒物与蛋白尿、肾小球滤过率和新发慢性肾脏病。
Clin J Am Soc Nephrol. 2020 Mar 6;15(3):311-319. doi: 10.2215/CJN.08350719. Epub 2020 Feb 27.
中国北京大都市区沙尘重金属的浓度水平、污染特征及潜在生态风险
Int J Environ Res Public Health. 2017 Sep 30;14(10):1159. doi: 10.3390/ijerph14101159.
4
Online media coverage of air pollution risks and current policies in India: A content analysis.印度空气污染风险与现行政策的网络媒体报道:一项内容分析
WHO South East Asia J Public Health. 2017 Sep;6(2):41-50. doi: 10.4103/2224-3151.213791.
5
Particulate Air Pollution from Wildfires in the Western US under Climate Change.气候变化下美国西部野火产生的颗粒物空气污染
Clim Change. 2016 Oct;138(3):655-666. doi: 10.1007/s10584-016-1762-6. Epub 2016 Jul 30.
6
Assessment of PM2.5 concentrations and exposure throughout China using ground observations.利用地面观测评估中国各地的 PM2.5 浓度和暴露情况。
Sci Total Environ. 2017 Dec 1;601-602:1024-1030. doi: 10.1016/j.scitotenv.2017.05.263. Epub 2017 Jun 9.
7
Air pollution in China: Status and spatiotemporal variations.中国的空气污染:现状与时空变化
Environ Pollut. 2017 Aug;227:334-347. doi: 10.1016/j.envpol.2017.04.075. Epub 2017 May 5.
8
Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015.归因于环境空气污染的全球疾病负担估计数和 25 年趋势:2015 年全球疾病负担研究数据分析。
Lancet. 2017 May 13;389(10082):1907-1918. doi: 10.1016/S0140-6736(17)30505-6. Epub 2017 Apr 10.
9
Impact of community disadvantage and air pollution burden on geographic disparities of ovarian cancer survival in California.社区劣势和空气污染负担对加利福尼亚州卵巢癌生存地理差异的影响。
Environ Res. 2017 Jul;156:388-393. doi: 10.1016/j.envres.2017.03.057. Epub 2017 Apr 10.
10
Air pollution characteristics and their relation to meteorological conditions during 2014-2015 in major Chinese cities.2014-2015 年中国主要城市大气污染特征及其与气象条件的关系。
Environ Pollut. 2017 Apr;223:484-496. doi: 10.1016/j.envpol.2017.01.050. Epub 2017 Jan 22.