关键词: 聚类分析, 智能聚类, 快速聚类, 国家重点生态功能区, 生态环境质量评价, 分级标准

Abstract: By using the method of intelligent clustering analysis and fast clustering analysis, and considering the two variables of natural ecological index and environmental status index value, the ecological environment quality assessment results of water conservation types in national key eco-functional areas in China in 2016 were classified and compared with the results of current index system and classification standards. In contrast, the classification standard of ecological environment quality in national key eco-functional areas was discussed. Comparing results with the current classification standard, the present classification standard has more advantages, and can directly and detailedly reflect the natural ecological status and environmental quality of counties in the water conservation function area. In conclusion, the classification standard of ecological environment quality should not be completely confined to a fixed level and numerical value, and the method of intelligent clustering and fast clustering can be used as a supplement to the current classification standard.

Key words: cluster analysis;intelligent clustering, fast clustering, national key eco-functional areas, eco-environmental quality assessment, classification standard