WATER RESOURCES AND ENVIRONMENT

Total Amount Allocation of Water Pollutant Based on Modelof Maximum Weighted Information Entropy

  • LIU Jie
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  • School of Mathematics and Computer Science, Shaanxi University of Technology, Hanzhong 723000, China

Received date: 2013-10-25

  Online published: 2015-01-15

Abstract

Information entropy is applied to establish a fair and efficient allocation system of total water pollutant between areas. With COD (Chemical Oxygen Demand) in Hanzhong city which is the birthplace of Hanjiang river as an example, we select some indexes that are closely related with the emission of COD and quantified them in consideration of the natural and economic differences between areas. Then the index weights are decided by entropy evaluation method. The goal programming model is thus established for the maximal sum of weighted information entropy. Finally, the intelligent Harmony Search Algorithm is used to solve this problem to obtain fairer cuts. The results show that this method could quantify various fair standards and get optimized and feasible allocation schemes.

Cite this article

LIU Jie . Total Amount Allocation of Water Pollutant Based on Modelof Maximum Weighted Information Entropy[J]. Journal of Changjiang River Scientific Research Institute, 2015 , 32(1) : 16 -20 . DOI: 10.3969/j.issn.1001-5485.2015.01.004

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