摘要
将湖泊水体的营养状态看作一个灰色系统,建立用于识别湖泊营养状态属性的灰色聚类综合评价模型,将水质级别作为一个灰类,水质状态作为灰色变量,根据灰色白化权函数聚类方法来确定水体营养状况归类。以太湖为例,基于分布全湖的20个监测点数据,运用灰色聚类法对其进行富营养状态综合评价,结果表明,监测时段太湖大部分水体基本处于中营养水平,局部湖面达到中度富营养状态,客观地反映了太湖湖区水体营养状况。
Considering trophic status of lake water as the grey system,the comprehensive assessment model for lake eutrophication attribute identification was established,of which determination of the trophic classification are conducted by the grey clustering with whitenization weight function under the setting of the water grades as grey classes,and water quality as grey variables.As a case of Taihu lake,the grey clustering comprehensive as-sessment model was employed to evaluate the water eutrophication status,based on monitoring data of 20 sam-pling sites arranged throughout the lake.The results indicate that nutrition levels of most region of Taihu lake were moderate basically,and just a few parts were eutrophicated in midrange in the monitoring period.It is shown that the established model can describe the lake trophic status objectively and reasonably.
出处
《环境监测管理与技术》
2014年第6期35-38,共4页
The Administration and Technique of Environmental Monitoring
关键词
灰色聚类方法
富营养化状态
综合评价
太湖
Grey clustering method
Eutrophication status
Comprehensive assessment
Taihu lake
