Suppr超能文献

本地和周边地区人为排放物对中国郑州一次臭氧高值事件的贡献。

Contribution of local and surrounding area anthropogenic emissions to a high ozone episode in Zhengzhou, China.

机构信息

Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng, Henan, 475004, China; Institute of Urban Big Data, College of Geography and Environmental Science, Henan University, Kaifeng, Henan, 475004, China.

Henan Key Laboratory of Integrated Air Pollution Control and Ecological Security, Henan University, Kaifeng, Henan, 475004, China; Institute of Urban Big Data, College of Geography and Environmental Science, Henan University, Kaifeng, Henan, 475004, China.

出版信息

Environ Res. 2022 Sep;212(Pt C):113440. doi: 10.1016/j.envres.2022.113440. Epub 2022 May 6.

Abstract

This study analyzed an ozone pollution episode that occurred in the summer of 2020 in Zhengzhou, the provincial capital of Henan, China, and quantified the contribution of local and surrounding area anthropogenic emissions to this episode based on the Weather Research and Forecasting with Chemistry (WRF/Chem) model. Simulation results showed that the WRF/Chem model is well suited to simulate the ozone concentrations in this area. In addition, four simulation scenarios (removing the emissions from the northern Zhengzhou, southwestern Zhengzhou, Zhengzhou local and southeastern Zhengzhou) were conducted to explore the specific contributions of local emissions and emissions from surrounding areas within Henan to this ozone pollution episode. We found that contributions from the northern, local, southwestern, and southeastern regions were 6.1%, 5.9%, 1.7%, and 1.5%, respectively. The northern and local emissions of Zhengzhou (only emissions from Zhengzhou) were prominent contributors within the simulation areas. In other words, during this episode, most of the ozone pollution in Zhengzhou appeared to be transported in from regions outside Henan Province.

摘要

本研究分析了 2020 年夏季中国河南省省会郑州发生的一次臭氧污染事件,并基于天气研究与预报化学模型(WRF/Chem)量化了该事件中本地和周边地区人为排放的贡献。模拟结果表明,WRF/Chem 模型非常适合模拟该地区的臭氧浓度。此外,还进行了四个模拟情景(去除郑州北部、西南部、本地和东南部的排放),以探讨河南周边地区的本地排放和排放对该臭氧污染事件的具体贡献。我们发现,北部、本地、西南部和东南部地区的贡献分别为 6.1%、5.9%、1.7%和 1.5%。郑州的北部和本地排放(仅来自郑州的排放)是模拟区域内的主要贡献者。换句话说,在这一事件中,郑州的大部分臭氧污染似乎是从河南省以外的地区输入的。

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