基于信息熵的信息环境污染指数及其应用

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Abstract The connotation, causes and harm of information environment pollution were elaborated based on its theory. Information entropy theory was employed to build information environment pollution index (IEPI) model so as to reflect the size of information pollution of event. Moreover, the monitoring data of main pollutants in municipal sewage treatment plant were taken as examples to analyze the information environment pollution index. The reliable numbers of day processing monitoring data of the plant main pollutants of BOD₅, COD_Cr, SS, TN, TP and NH₃-N were 15.8%, 16.0%, 15.8%, 15.1%, 15.0% and 13.4%, respectively. Therefore, the rate of interference of the plant main pollutant monitoring data is 8.9%. Under the influence of interference factors, the information entropy of monitoring data of main pollutants in the plant was 0.903 (bit) and its IEPI is 0.158, which lies in the Ⅰ level of the information quality standard. It suggested that the contamination degree of monitoring data of the plant's main pollutant was low, but there were still some uncertainties. Considering the increasingly serious information environmental pollution, some measures were put forward to control information environment pollution, such as strengthening the coordination between departments, advocating the public participation and supervision, improving the submission of pollution source information and promoting the performance of monitoring equipment, etc.

Key words： information environment pollution index information entropy control of information environment pollution

Received: 24 May 2016

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	ZENG Wei-hua
	WANG Hui-hui

Cite this article:

ZENG Wei-hua,WANG Hui-hui. Information environment pollution index and its applications based on information entropy[J]. CHINA ENVIRONMENTAL SCIENCECE, 2017, 37(2): 768-776.

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http://manu36.magtech.com.cn/Jweb_zghjkx/EN/ OR http://manu36.magtech.com.cn/Jweb_zghjkx/EN/Y2017/V37/I2/768

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