• 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

雾霾在中国的认知与治理概述。

Haze insights and mitigation in China: an overview.

出版信息

J Environ Sci (China). 2014 Jan 1;26(1):2-12. doi: 10.1016/s1001-0742(13)60376-9.

DOI:10.1016/s1001-0742(13)60376-9
PMID:24649686
Abstract

The present article provides an overview of the chemical and physical features of haze in China, focusing on the relationship between haze and atmospheric fine particles, and the formation mechanism of haze. It also summarizes several of control technologies and strategies to mitigate the occurrence of haze. The development of instruments and the analysis of measurements of ambient particles and precursor concentrations have provided important information about haze formation. Indeed, the use of new instruments has greatly facilitated current haze research in China. Examples of insightful results include the relationship between fine particles and haze, the chemical compositions and sources of particles, the impacts of the aging process on haze formation, and the application of technologies that control the formation of haze. Based on these results, two relevant issues need to be addressed: understanding the relationship between haze and fine particles and understanding how to control PM2.5.

摘要

本文概述了中国霾的化学和物理特征,重点关注霾与大气细颗粒物的关系,以及霾的形成机制。还总结了几种控制技术和策略,以减轻霾的发生。仪器的发展和环境颗粒及前体浓度的测量分析为霾的形成提供了重要信息。实际上,新仪器的使用极大地促进了中国当前的霾研究。有见地的结果示例包括细颗粒物与霾之间的关系、颗粒物的化学成分和来源、老化过程对霾形成的影响,以及控制霾形成技术的应用。基于这些结果,需要解决两个相关问题:理解霾与细颗粒物之间的关系以及理解如何控制 PM2.5。

相似文献

1
Haze insights and mitigation in China: an overview.雾霾在中国的认知与治理概述。
J Environ Sci (China). 2014 Jan 1;26(1):2-12. doi: 10.1016/s1001-0742(13)60376-9.
2
Characteristics of ambient bioaerosols during haze episodes in China: A review.中国霾天气期间环境生物气溶胶的特性:综述。
Environ Pollut. 2018 Dec;243(Pt B):1930-1942. doi: 10.1016/j.envpol.2018.09.051. Epub 2018 Sep 8.
3
Haze, public health and mitigation measures in China: A review of the current evidence for further policy response.雾霾、公共健康与中国的缓解措施:对进一步政策回应的现有证据的综述。
Sci Total Environ. 2017 Feb 1;578:148-157. doi: 10.1016/j.scitotenv.2016.10.231. Epub 2016 Nov 11.
4
Formation, features and controlling strategies of severe haze-fog pollutions in China.中国重霾污染的形成、特征及控制策略。
Sci Total Environ. 2017 Feb 1;578:121-138. doi: 10.1016/j.scitotenv.2016.10.201. Epub 2016 Nov 9.
5
Severe haze in northern China: A synergy of anthropogenic emissions and atmospheric processes.中国北方地区严重雾霾:人为排放与大气过程的协同作用。
Proc Natl Acad Sci U S A. 2019 Apr 30;116(18):8657-8666. doi: 10.1073/pnas.1900125116. Epub 2019 Apr 15.
6
Chemical compositions of PM2.5 aerosol during haze periods in the mountainous city of Yong'an, China.中国山区城市永安雾霾期间 PM2.5 气溶胶的化学成分。
J Environ Sci (China). 2012;24(7):1225-33. doi: 10.1016/s1001-0742(11)60940-6.
7
Weakened Haze Mitigation Induced by Enhanced Aging of Black Carbon in China.中国黑碳老化增强导致的霾减弱。
Environ Sci Technol. 2022 Jun 21;56(12):7629-7636. doi: 10.1021/acs.est.2c00090. Epub 2022 Jun 8.
8
Model elucidating the sources and formation mechanisms of severe haze pollution over Northeast mega-city cluster in China.中国东北特大城市群重霾污染的来源和形成机制模型。
Environ Pollut. 2017 Nov;230:692-700. doi: 10.1016/j.envpol.2017.06.007. Epub 2017 Jul 14.
9
Six sources mainly contributing to the haze episodes and health risk assessment of PM at Beijing suburb in winter 2016.2016 年冬季北京郊区霾事件成因及 PM 健康风险评估的 6 个主要来源。
Ecotoxicol Environ Saf. 2018 Dec 30;166:146-156. doi: 10.1016/j.ecoenv.2018.09.069. Epub 2018 Sep 25.
10
High time-resolved characterization of airborne microbial community during a typical haze pollution process.典型霾污染过程中空气微生物群落的高时间分辨特性。
J Hazard Mater. 2021 Aug 5;415:125722. doi: 10.1016/j.jhazmat.2021.125722. Epub 2021 Mar 24.

引用本文的文献

1
Distribution characteristics and noncarcinogenic risk assessment of culturable airborne bacteria and fungi during winter in Xinxiang, China.中国新乡冬季可培养空气细菌和真菌的分布特征及非致癌风险评估。
Environ Sci Pollut Res Int. 2019 Dec;26(36):36698-36709. doi: 10.1007/s11356-019-06720-8. Epub 2019 Nov 18.
2
Health Impacts of Exposure to Gaseous Pollutants and Particulate Matter in Beijing-A Non-Linear Analysis Based on the New Evidence.北京地区气态污染物和颗粒物暴露的健康影响——基于新证据的非线性分析。
Int J Environ Res Public Health. 2018 Sep 10;15(9):1969. doi: 10.3390/ijerph15091969.
3
Short period PM2.5 prediction based on multivariate linear regression model.
基于多元线性回归模型的短期 PM2.5 预测。
PLoS One. 2018 Jul 26;13(7):e0201011. doi: 10.1371/journal.pone.0201011. eCollection 2018.
4
Volatile organic compounds (VOCs) during non-haze and haze days in Shanghai: characterization and secondary organic aerosol (SOA) formation.上海市非霾天和霾天的挥发性有机化合物(VOCs):特征及二次有机气溶胶(SOA)形成。
Environ Sci Pollut Res Int. 2017 Aug;24(22):18619-18629. doi: 10.1007/s11356-017-9433-3. Epub 2017 Jun 24.
5
Inferring Atmospheric Particulate Matter Concentrations from Chinese Social Media Data.从中国社交媒体数据推断大气颗粒物浓度
PLoS One. 2016 Sep 20;11(9):e0161389. doi: 10.1371/journal.pone.0161389. eCollection 2016.
6
Interventions to reduce individual exposure of elderly individuals and children to haze: a review.减少老年人和儿童个人雾霾暴露的干预措施:综述
J Thorac Dis. 2016 Jan;8(1):E62-8. doi: 10.3978/j.issn.2072-1439.2016.01.17.