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.

Key words: water pollutant, fair allocation, COD, total amount allocation, information entropy, maximum weighted, Harmony Search Algorithm, Hanzhong in Shaanxi Province