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基于模糊信息熵的流域水污染系统建模与控制
引用本文:胡习邦,许振成,王后能,王俊能,张修玉.基于模糊信息熵的流域水污染系统建模与控制[J].环境科学与技术,2012,35(4):184-188.
作者姓名:胡习邦  许振成  王后能  王俊能  张修玉
作者单位:1. 中国科学院广州地球化学研究所,广东广州510640;环境保护部华南环境科学研究所,广东广州510655;中国科学院研究生院,北京100049
2. 中国科学院广州地球化学研究所,广东广州510640;环境保护部华南环境科学研究所,广东广州510655
3. 武汉工程大学,湖北武汉,430205
4. 环境保护部华南环境科学研究所,广东广州,510655
基金项目:国家水体污染控制与治理科技重大专项(2008ZX07011)
摘    要:我国水污染局部得到了改善,但呈现流域污染蔓延的趋势。运用系统控制论构建流域水污染控制系统,突破了传统的"就水论水、见污治污"的还原论水污染控制方法,综合考虑总体控制战略决策(S)反馈系统以及社会发展布局(L)、经济发展模式(E)、居民生活方式(C)和治理工程措施(T)控制系统等多种控制措施及因素,通过输出量与参考给定输入的比较,采用模糊信息熵方法进行了定量分析方法的探讨。

关 键 词:流域  模糊信息熵  系统控制  水污染

Watershed Water Pollution Control System Based on Fuzzy Information Entropy
HU Xi-bang , XU Zhen-cheng , WANG Hou-neng , WANG Jun-neng , ZHANG Xiu-yu.Watershed Water Pollution Control System Based on Fuzzy Information Entropy[J].Environmental Science and Technology,2012,35(4):184-188.
Authors:HU Xi-bang  XU Zhen-cheng  WANG Hou-neng  WANG Jun-neng  ZHANG Xiu-yu
Institution:1,2(1.Geochemistry Institute of Guangzhou,CAS,Guangzhou 510640,China; 2.South China Institute of Environmental Science,MEP,Guangzhou 510655,China; 3.Wuhan University of Technology,Wuhan 430205,China; 4.Graduate School,Chinese Academy of Sciences,Beijing 100049,China)
Abstract:Water pollution has been partially improved in China,but the trend of watershed water pollution is increasing presently.System control theory was used to build a watershed water pollution control system model,to solve the problem of just controling the wastewater and the environment separately,which is different from the traditional water pollution control methods.The watershed water pollution controllers consist of the overall control of strategy and decision-making(S),as well as the feedback system of social development strategy(L),the economic development model(E),the way of life(C)and governance engineering measures(T)control system.The water pollution control system model is assessed by fuzzy information entropy,and is showed that it’s an available quantitative technical approach for building a water pollution control system.
Keywords:watershed  fuzzy information entropy  system control  water pollution
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