School of Economics and Management, Beihang University, Beijing 100191, China.
J Environ Sci (China). 2012;24(7):1210-6. doi: 10.1016/s1001-0742(11)60938-8.
For natural water, method of water quality evaluation based on improved fuzzy matter-element evaluation method is presented. Two important parts are improved, the weights determining and fuzzy membership functions. The coefficient of variation of each indicator is used to determine the weight instead of traditional calculating superscales method. On the other hand, fuzzy matter-elements are constructed, and normal membership degrees are used instead of traditional trapezoidal ones. The composite fuzzy matter-elements with associated coefficient are constructed through associated transformation. The levels of natural water quality are determined according to the principle of maximum correlation. The improved fuzzy matter-element evaluation method is applied to evaluate water quality of the Luokou mainstream estuary at the first ten weeks in 2011 with the coefficient of variation method determining the weights. Water quality of Luokou mainstream estuary is dropping from level I to level II. The results of the improved evaluation method are basically the same as the official water quality. The variation coefficient method can reduce the workload, and overcome the adverse effects from abnormal values, compared with the traditional calculating superscales method. The results of improved fuzzy matter-element evaluation method are more credible than the ones of the traditional evaluation method. The improved evaluation method can use information of monitoring data more scientifically and comprehensively, and broaden a new evaluation method for water quality assessment.
对于天然水,提出了基于改进的模糊物元评价方法的水质评价方法。改进了两个重要部分,权重确定和模糊隶属函数。用各指标的变异系数代替传统的超标计算方法来确定权重。另一方面,构建模糊物元,并用正态隶属度代替传统的梯形隶属度。通过关联变换构建具有关联系数的复合模糊物元。根据最大相关原理确定天然水质等级。用变异系数法确定权重,将改进的模糊物元评价方法应用于 2011 年洛口主流口前十周的水质评价。洛口主流口水质从一级降至二级。改进评价方法的结果与官方水质基本一致。与传统的超标计算方法相比,变异系数法可以减少工作量,克服异常值的不利影响。改进的模糊物元评价方法的结果比传统评价方法更可靠。改进的评价方法可以更科学、更全面地利用监测数据信息,为水质评价开辟了一种新的评价方法。