基于信息熵的信息环境污染指数及其应用

中国环境科学 2017,37(2)：768~776 China Environmental Science 基于信息熵的信息环境污染指数及其应用

曾维华*,王慧慧(北京师范大学环境学院,北京 100875)

摘要：从信息环境污染理论入手,系统阐述了信息环境污染概念内涵、成因及其危害.利用信息熵理论构建信息环境污染指数(IEPI)模型来反映事件本身信息污染程度大小,并以某市污水处理厂主要污染物日监测数据为例对信息环境污染指数进行分析.研究结果表明,该厂主要污染物BOD5、COD Cr、SS、TN、TP和NH3-N的日处理量监测数据可靠个数分别占15.8%、16.0%、15.8%、15.1%、15.0%和13.4%,则该厂主要污染物监测数据存在8.9%的干扰;在受到干扰因素影响下,该厂污染物监测数据的信息熵为0.903(bit),其IEPI值为0.158,满足信息质量Ⅰ级标准,说明该厂的主要污染物监测数据受污染程度较低,但仍存在一定的不确定性.最后,针对当前日趋严重的信息环境污染现象,从加强各部门间协同合作、加强公众参与监督、完善污染源信息上报、提高监测设备的性能等方面,提出控制信息环境污染对策.

关键词：信息环境污染指数；信息熵；信息环境污染控制

中图分类号：X83 文献标识码：A 文章编号：1000-6293(2017)02-0768-09

Information environment pollution index and its applications based on information entropy. ZENG Wei-hua*, WANG Hui-hui (School of Environment, Beijing Normal U niversity, Beijing 100875, China). China Environmental Science, 2017,37(2)：768~776

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 level

Ⅰof 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

信息作为一种社会发展的战略资源,越来越受到人们重视,一个国家的信息化程度已成为衡量当今社会现代化的重要标志之一[1].伴随着现代科学技术的飞速发展,信息给人类社会带来诸多利益的同时,同样面临着日趋严重的信息环境污染问题.近年来,有学者针对信息环境污染及信息污染的概念、产生原因、表现形式、危害以及治理对策等进行了研究和探讨,并对各自的观点和看法分别进行了阐述[2-8].其中张新华[5]首次提出信息环境污染命题,分析了信息环境污染的有关表现形式,并在此基础上探讨治理信息环境的对策建议.张业明[6]首次系统的提出信息环境污染这个新理念,并对信息环境污染表现的特征、规律做了初步探讨,同时基于信息环境污染特点收稿日期：2016-05-24

基金项目：中国清洁发展机制基金赠款项目(2013049);国家水体污染控制与治理科技重大专项(2012ZX07102- 002-05)

* 责任作者, 教授, zengwh@