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探索利用地基遥感识别新粒子形成事件:以北京地区为例。

Exploring the use of ground-based remote sensing to identify new particle formation events: A case study in the Beijing area.

作者信息

Zhang Ying, Dai Liuxin, Zhang Peng, de Leeuw Gerrit, Li Zhengqiang, Fan Cheng

机构信息

State Environmental Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.

State Environmental Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.

出版信息

Sci Total Environ. 2024 Dec 1;954:176693. doi: 10.1016/j.scitotenv.2024.176693. Epub 2024 Oct 2.

Abstract

New Particle Formation (NPF) is an important process of secondary aerosol production in the atmosphere, which has significant impacts on the Earth's radiation balance, air quality, and climate change. In this study, we develop a method to identify NPF events based on ground-based remote sensing. We propose a proxy to characterize NPF events utilizing ground-based remote sensing of gaseous precursors and aerosol optical depth (AOD). This proxy is applied to identify the NPF events in Beijing in the winter of 2022 and tested by comparison with in-situ observations of aerosol particle number size distributions (PNSD) from SMPS. The comparison shows that the NPF events for regional nucleation can be identified effectively when the threshold for sulfur dioxide and organic gases (i.e. formaldehyde) are determined as 0.44 × 10 and 1.07 × 10. Based on these thresholds, the NPF events can be identified at a high percentage (84 %) compared with in-situ observations. The relationship between identification of NPF events and meteorological conditions shows that NPF events in Beijing winter occurred more frequently under weather conditions with north-west wind direction, high wind speed and low relative humidity.

摘要

新粒子形成(NPF)是大气中二次气溶胶生成的一个重要过程,对地球辐射平衡、空气质量和气候变化有重大影响。在本研究中,我们开发了一种基于地基遥感识别NPF事件的方法。我们提出了一个利用气态前体的地基遥感和气溶胶光学厚度(AOD)来表征NPF事件的指标。该指标应用于识别2022年冬季北京的NPF事件,并通过与扫描迁移率粒径谱仪(SMPS)的气溶胶粒子数粒径分布(PNSD)现场观测结果进行比较来进行测试。比较结果表明,当二氧化硫和有机气体(即甲醛)的阈值分别确定为0.44×10和1.07×10时,可以有效地识别区域成核的NPF事件。基于这些阈值,与现场观测相比,可以以较高的百分比(84%)识别NPF事件。NPF事件识别与气象条件之间的关系表明,北京冬季的NPF事件在西北风、高风速和低相对湿度的天气条件下更频繁发生。

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