Design and Evaluation of ACFC—An Automatic Cloud/Fog Collector

Author:

Du Ping1,Nie Xiaoling1,Liu Hongtao2,Hou Zhiru2,Pan Xiaole3,Liu Hang3,Liu Xinghui1,Wang Xinfeng4ORCID,Sun Xiaomin4,Wang Yan1

Affiliation:

1. School of Environmental Science and Engineering, Shandong University, Qingdao 266237, China

2. Renhezhihai Intelligent Technology (Shandong) Co., Ltd., Weifang 261000, China

3. Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China

4. Environment Research Institute, Shandong University, Qingdao 266237, China

Abstract

Cloud and fog droplets are essential in atmospheric chemistry since they affect the distribution and chemical transformation of pollutants. Collecting sufficient volumes using cloud/fog samplers is the premise of cloud fog chemical studies. Accurate identification of fog events and high collection efficiency are the basic principles of sampler design. Therefore, an automatic cloud/fog collector (ACFC) has been designed, fabricated, and extensively tested for collecting samples of cloud/fog water. The control box and standard sensors for air temperature, relative humidity, and instantaneous rainfall were used to ensure sampling automation. Airflow measurement was used to guarantee the stability of the airspeed on the inlet section, and the airspeed is 7.5 m s−1. Moreover, the median collection rate of ACFC was 160–220 mL h−1, which was tested via a simulation experiment. To evaluate the actual performance of the device in the field, we obtained eight samples of cloud fog water from Shanghuang Observatory in eastern China from the summer through the fall of 2022. Collection rates varied from 62 to 169 mL h−1. For a cloud/fog sampler equipped with multiple sensors, the ACFC has excellent sampling efficiency in thick fog, sufficient cloud fog water samples can be collected in weak fog, and it can precisely identify fog mingled with rain.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

China Postdoctoral Science Foundation

Publisher

MDPI AG

Subject

Atmospheric Science,Environmental Science (miscellaneous)

Reference29 articles.

1. Enhanced role of transition metal ion catalysis during in-cloud oxidation of SO2;Harris;Science,2013

2. Modeling the processing of aerosol and trace gases in clouds and fogs;Ervens;Chem. Rev.,2015

3. Characteristics of bacterial community in cloud water at Mt Tai: Similarity and disparity under polluted and non-polluted cloud episodes;Wei;Atmos. Chem. Phys.,2017

4. Chemistry and Isotope Fractionation of Divalent Mercury during Aqueous Reduction Mediated by Selected Oxygenated Organic Ligands;Zhao;Environ. Sci. Technol.,2021

5. A comparison of the performance of three types of passive fog gauges under conditions of wind-driven fog and precipitation;Frumau;Hydrol. Process.,2011

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Characterization of Microplastics in Clouds over Eastern China;Environmental Science & Technology Letters;2023-11-15

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3