室内颗粒物的稳态置换流净化机制

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (1184 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract The mechanism of the indoor particulate matter's transportation and diffusion was discussed. Using the spatial and temporal scale analysis, the particulate matter's flux can be artificially separated into four parts:the advection and slippage in the slowly varying macro mean motion δ-scale, the turbulent diffusion in the rapidly varying micro turbulence motion η-scale and the Brown diffusion in the dramatically varying molecular motion λ-scale. Correspondingly, the flux equations in the ensemble average format and model computing format were concluded. Following the equations, the methods to increase the purification efficiency were lowering the indoor air speed and its turbulence intensity gradient. The flow fields was numerically simulated in a typical room with the low-speed steady substitution flow system installed and in a normal room with both air inlet and outlet on the roof. The particulate matter's number concentration was measured in two rooms with different air inlet and outlet positions. The results showed that the ways to improve the purification efficiency and to decrease the energy cost were:1) keeping a weak positive pressure; 2) setting the ceiling corner line air inlet and baseboard corner line air outlet layout; 3) lowering the air speed and turbulence gradient.

Key words： steady substitution flow indoor particulate matter flux purification efficiency

Received: 16 May 2017

PACS:

X169

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	LIN Guan-ming
	REN Zhen-hai
	SONG Jian-li

Cite this article:

LIN Guan-ming,REN Zhen-hai,SONG Jian-li. The mechanism of low-speed steady substitution flow to clean the indoor particulate matter[J]. CHINA ENVIRONMENTAL SCIENCECE, 2018, 38(1): 97-102.

URL:

http://manu36.magtech.com.cn/Jweb_zghjkx/EN/ OR http://manu36.magtech.com.cn/Jweb_zghjkx/EN/Y2018/V38/I1/97

[1]	Klepeis N E, Nelson W C, Ott W R, et al. The national human activity pattern survey (NHAPS):a resource for assessing exposure to environmental pollutants[J]. Journal of Exposure Analysis and Environmental Epidemiology, 2001,11(3):231-252.
[2]	Dockery D W, Pope C A, Xu X P. An association between air pollution and mortality in six U.S. cities[J]. New England Journal of Medicine, 1993,329(24):1753-1759.
[3]	Chen Y Y, Ebenstein A, Greenstone M, et al. Evidence on the impact of sustained exposure to air pollution on life expectancy from China's Huai River policy[J]. PNAS, 2013,110(32):12936-12941.
[4]	程鸿.北京室内外细颗粒物污染及人群暴露特征[D]. 北京:北京大学, 2010.
[5]	He C R, Morawska L D, Hitchins J, et al. Contribution from indoor sources to particle number and mass concentrations in residential houses[J]. Atmospheric Environment, 2004,38(21):3405-3415.
[6]	Tucker W G. An overview of PM2.5 sources and control strategies[J]. Fuel Processing Technology, 2000,65:379-392.
[7]	Abt E, Suh H H, Catalano P. Relative contribution of outdoor and indoor particle sources to indoor concentrations[J]. Environmental Science & Technology, 2000,34(17):3579-3587.
[8]	周玉岩,高艳霞,冯丽.辐流洁净室的建立与洁净度检测方法的研究[J]. 中国医院建筑与装备, 2015,16(9):98-101.
[9]	Ghiaus C M, Ghiaus A G. Evaluation of the indoor temperature field using a given air velocity distribution[J]. Building and Environment, 1999,34(6):671-679.
[10]	Qian J, Ferro A R, Fowler K R. Estimating the resuspension rate and residence time of indoor particles[J]. Journal of the Air & Waste Management Association, 2008,58(4):502-516.
[11]	Miao W. Modeling airflow and contaminant transport in enclosed environments with advanced models.[D]. Purdue University, 2011.
[12]	Wu X, Nie Q, Fang Q. Measurement of the mean kinetic dissipation rate in the atmospheric near-surface layer[J]. Chinese Journal of Theoretical and Applied Mechanics, 2007,39(6):721-726.
[13]	Caporaloni M, Tampieri F, Trombetti F, et al. Transfer of particles in nonisotropic air turbulence[J]. Journal of the Atmospheric Sciences, 1975,32:565-568.
[14]	Zhao B, Zhang Y, Li X, et al. Comparison of indoor aerosol particle concentration and deposition in different ventilated rooms by numerical method[J]. Building and Environment, 2004, 39(1):1-8.
[15]	GB 50073-2013洁净厂房设计规范[S].
[16]	赵普生,徐晓峰,孟伟,等.京津冀区域霾天气特征[J]. 中国环境科学, 2012,32(1):31-36.
[17]	周甜,闫才青,李小滢,等.华北平原城乡夏季PM2.5组成特征及来源研究[J]. 中国环境科学, 2017,37(9):3227-3236.
[18]	崔妍,赵春雨,周晓宇,等.东北地区近50年来霾天气气候特征[J]. 中国环境科学, 2016,36(6):1630-1637.
[19]	谭成好,赵天良,崔春光,等.近50年华中地区霾污染的特征[J]. 中国环境科学, 2015,35(8):2272-2280.
[20]	周威,康岚,郝丽萍.1980~2012年四川盆地及典型城市的霾日变化特征分析[J]. 中国环境科学, 2017,37(10):3675-3683.
[21]	石晶金,袁东,赵卓慧.我国住宅室内PM2.5来源及浓度的影响因素研究进展[J]. 环境与健康杂志, 2019,32(9):825-829.