信息熵在水污染物总量区域公平分配中的应用

在考虑排污权的公平准则的基础上，通过综合考虑区域的经济、自然等客观因素，构建了以加权信息熵最大化为目标的规划模型。该模型应用熵值法得到上述各因素的指标的权重，并通过计算单位化指标负荷污染物量的信息熵，进而得到总信息熵。通过设定合理的运算规则和约束条件，制定出基于公平性的水污染物总量的区域初始分配方案。将模型应用于天津市的水污染物分配计算，结果表明：天津市东丽区、汉沽区和中心城区是水污染物重点削减区域，其次是塘沽区和宁河县。应用结果表明，本文方法可以定量化地反映多种公平准则，进而得到公平可行的分配方案。

Application of information entropy to regional allocation of waste water load

Based on the principle of equity the programming model for regional allocation of waste with regional economic and natural factors taken into account is established. The correlative indexes are chosen to reflect the factors for different principles of equity and the entropy method is used to deduce the weights of these indexes. The sum of information entropy can be obtained based on the calculation of the information entropy of waste water load per indexes. The objective of the proposed programming model is to maximize the sum of the total regional weighted information entropy. By setting reasonable calculation rules and restraint conditions the initial allocation schemes of waste load according to different equities can be worked out consequently. The model is applied to calculate the allocation of waste load in Tianjin City. The result shows that the proposed method can quantitatively reflect the allocation schemes with different equity principles.