[ Objective ] The aim was to assess regional eco-environmental quality by means of grey clustering method based on normalized index value. [ Method ] Eco-environmental quality in Chaohu basin was assessed by using grey clustering method based on normalizedindex value, and the evaluation results were compared with those of unascertained measure method to verify the feasibility of grey clustering method used to evaluate regional eco-environmental quality. [ Result ] In the grey clustering assessment based on normalized index value,indexes whose standard normalized values in the same grade were close to each other were classified into one class and had the same whitening function,which reduced the number of whitening functions. Grey clustering method based on normalized index value was used to assess eco-environmental quality in Chaohu basin, and the evaluation results were basically in accordance with those of unascertained measure method, namely eco-environmental quality in Hefei, Chaohu and Lu'an belonged to the third (pass), fourth (worse), fifth grade (bad),except for one grade difference in overall basin,and the results showed that the method had practicality and could be applied to assess regional eco-environmental quality. [ Conclusion ] The study could provide theoretical foundation for the establishment of comprehensive management countermeasures of regional ecological environment.%[目的]采用指标规范值的灰色聚类法对区域生态环境质量进行评价.[方法]以巢湖流域为例,介绍了基于指标规范值的区域生态环境质量灰色聚类评价法,并将评价结果与未确知测度法得出的评价结果相比较,进一步验证该方法在区域生态环境质量评价中的可行性.[结果]基于指标规范值的区域生态环境质量灰色聚类评价,将同级标准规范值相近的指标归为一类,同属一类的指标只需设计为相同的白化函数,从而大大减少了白化函数的设计个数.将指标规范值的灰色聚类法用于巢湖流域的区域生态环境质量评价,其评价结果与未确知测度评价法的评价结果基本一致,除流域总体相差一级外,合肥、巢湖、六安的生态环境质量分别属于3级(及格)、4级(较差)、5级(差),表明该方法具有实用性.[结论]该研究可为区域生态环境综合治理对策的制定提供理论依据.
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