中文摘要：

湿地水质的研究是保护湿地生物多样性工作的基础。鉴于水质评价中各指标的不确定性和模糊性，将超标倍数法与模糊物元建模相结合,应用于水质综合评价,建立了基于超标倍数赋权法的模糊物元模型。运用此模型对洪河湿地水质进行评价与分析，评价结果与熵权系数法的评价结果一致，证明所建立的新模型是科学合理的，其结果更加客观。目前，洪河湿地的水质污染较严重，主要是湿地周边的农场大量使用农药和化肥造成的。因此，提出了建立湿地过滤带的方法，可以有效阻止水质恶化。

英文摘要：

The given article is to introduce the fuzzy matter-element model based on the multiple superscale the present author has initiated and the results of its application to the study of water quality in Honghe River to protect the biodiversity of the wetland. Seeing the great need in environmental protection, it has become ever more important to evaluate the water quality in our rivers and lakes, seas and oceans, which can help to provide useful reference data to decisionmaking of the related departments of different levels of governments is provided rationally. In view of the uncertainty of indexes for evaluating water quality, the multiple superscale method can be applied to integrate fuzzy matter-element methods to evaluate the corresponding water quality. The coefficients of weight provided in this model are by nature objective, which can not only take into careful consideration the whole effect of pollution factors but also the effect of pollution of high concentrations. Therefore, the model has successfully been used for evaluating the water quality in Honghe wetland. The calculation results of the Honghe wetland gained by us comes in close conformity with the entropy weight coefficient method. Moreover, since the entropy weight coefficient method fails to consider the effect of pollution with high concentrations, the model of the multiple of superscale proves more advantageous over it. At the same time, it is shown that the new method is scientific and rational by nature, its calculation and statistic results prove to be more objective. When using the given model, if the water pollution is serious under study, which is often caused by heavy use of pesticides and fertilizers in the surrounding farms. Therefore, fihrate-belt of wetland should be established so as for the wetland to protect its own water quality by way of segregation.