Study of negative air ion concentration in various environments in summer

Author(s):  
Wang Wei ◽  
Yu Zhuang ◽  
Chen Jianli
2020 ◽  
Vol 23 ◽  
pp. e01008 ◽  
Author(s):  
Hui Wang ◽  
Bing Wang ◽  
Xiang Niu ◽  
Qingfeng Song ◽  
Mingwen Li ◽  
...  

2018 ◽  
pp. 52-54
Author(s):  
A.D. Rakhmatov ◽  
S.R. Namozov

When using electro-ionizers in the conditions of the fruit storage facilities, it is necessary to take into account the influence of environmental conditions of the electrical ionizers. A particularly important factor here is the relative humidity of the air in the storage tanks. At higher values of the relative humidity of air in the atmosphere of the fruit storage, air ion combine with water molecules to form heavy ions, as a result of which the volume concentration of ions decreases. To test these theoretical assumptions, we conducted studies of the operating parameters of the ionizer under condition of storage tanks high relative air humidity. Studies have shown that under conditions of high air humidity the concentration of ion decreases by 10–12% and at a distance of 1 meter from the ionizer, the air ion concentration is 1,6∙1013 ion/m3.


2012 ◽  
Vol 518-523 ◽  
pp. 241-244 ◽  
Author(s):  
Wei Wang ◽  
Feng Shi

Atmospheric ions are produced by many natural and anthropogenic sources and their concentrations vary widely between different environments. In this study, we conducted in a southern coastal province of China, where we chose some typical sites to observe. The observations included negative air ion concentration, positive air icon concentration, wind speed, temperature and relative humidity, and negative air icon concentration in materials and plants. The results showed that negative air icon concentration changed more obviously in different water statuses, and showed a certain degree of mutual relations. In order to improve the urban ecological environment, the authors proposed the use of water and wind actively to increase the distribution of negative air anion concentration in urban planning and construction.


2017 ◽  
Vol 113 ◽  
pp. 231-237 ◽  
Author(s):  
Andris Skromulis ◽  
Juris Breidaks ◽  
Edmunds Teirumnieks

2006 ◽  
Vol 370 (1) ◽  
pp. 245-253 ◽  
Author(s):  
Chih Cheng Wu ◽  
Grace W.M. Lee ◽  
Shinhao Yang ◽  
Kuo-Pin Yu ◽  
Chia Ling Lou

Author(s):  
Andris Skromulis ◽  
Juris Breidaks

<p class="R-AbstractKeywords"><span lang="EN-US">The paper discusses and analyzes the effect of environmental factors on ion concentrations in urban air. Statistically mathematical method was used to analyze the measurements of air ion concentration collected in a period of several months, with ion size ranging from 0.75 to 36.6 nm. As environmental factors related to air ions, the following chemical and physical parameters of the atmospheric air were analyzed: CO, NO, NO<sub>2</sub>, NO<sub>x</sub>, SO<sub>2</sub>, O<sub>3</sub>, PM10, PM2.5, temperature, relative humidity, wind speed and direction. When analyzing data in this combination, there is often a problem of multicollinearity between air chemical and physical parameters. This paper addresses this problem by using the component regression. Regression equations were elaborated to understand the dependence of concentrations of various classes of positive and negative air ions on chemical and physical parameters of the air.</span></p>


2010 ◽  
Vol 96 ◽  
pp. 257-260
Author(s):  
Ji Mei Wang ◽  
Zhi Jiang Ji ◽  
Jing Wang

The static ion testing system is designed to evaluate air ion concentration for functional materials. It is mainly composed of following parts, collector, data-conversion device and output terminal. The testing system can test negative air ion and positive air ion, which can be tested depends on the electrical field of the collector. The software of output terminal can store all the testing process information in the output terminal. In order to scientifically test the air ion concentration, the whole testing system are designed without any dynamic device. With the whole design, the static ion testing system fulfills automatically and accurately works without technician’s supervision. The system also automatically records the testing process, maps the variation curves, and analyzes the testing results.


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