【摘要】 运用灰色聚类分析对水库富营养状况进行评估,旨在建立一种完善、合理的富营养化评价模型,为水库的管理提供依据。选用透明度(SD)、溶解氧(DO)、化学需氧量(COD)、总磷(TP)、总氮(TN)、氨氮(NH4-N)和叶绿素a(Chla)7个参数作为富营养化评价参数,将富营养化程度划分为贫营养、贫中营养、中营养、中富营养、富营养和极富营养6个等级,运用灰色聚类分析的方法对深圳石岩水库夏季富营养状况进行了评价。结果显示,石岩水库8个采样点均处于中富营养状态,但有着向富营养化演变的潜在风险;从水库的入水口至出水口,富营养化状态有轻微减轻趋势。灰色聚类分析方法应用于水库富营养化评价是可行的,评价结果客观、全面。更多还原

【Abstract】 The application of gray cluster analysis on the eutrophication assessment is to establish a kind of perfect reasonable model of eutrophication evaluation and to provide the basis for the management of reservoir. In order to assess the eutrophication level of Shiyan Reservoir, seven indices of water quality in eight sampling sites including SD, DO, COD, TP, TN, NH4- N and Chla were investigated in 2013. Eutrophication degree is divided into six classifications. Grey cluster method is applied to assess eutrophication level of the reservoir. The results shown that the reservoir was in the middle eutrophic condition which evolved to the eutrophication trend, and the eutrophication state was slightly reduced from the water inlet to the water outlet of the reservoir. Thus the grey cluster analysis applied to the reservoir eutrophication assessment was feasible and the evaluation results would be objective and comprehensive.更多还原