室内微生物污染水平预测关键技术研究综述

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Abstract

Indoor microbial aerosols come from various sources and are affected by many environmental factors. Statistical methods could be used to predict the indoor microbial pollution levels in real time. The methods of establishing prediction models were firstly presented. Then, the relationship between indoor microbial aerosol concentration and environmental parameters (air exchange rate, temperature, relative humidity, number of people, particulate matter and air distribution, CO₂) was introduced. The prediction model of indoor microbial pollution level was summarized, and the future development direction was provided.

Key words： airborne microorganism prediction model bioaerosols factors correlation

Received: 23 April 2018

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	Articles by authors
	ZHANG Ming-jian
	CAO Guo-qing
	FENG Xin

Cite this article:

ZHANG Ming-jian,CAO Guo-qing,FENG Xin. Review of key technologies for forecast of indoor microbial contamination levels[J]. CHINA ENVIRONMENTAL SCIENCECE, 2018, 38(11): 4040-4049.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2018/V38/I11/4040

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