并以我国湖库在藻类繁殖高峰期实测浓度数据为例，快速、准确地得出湖库富营养化的主要指标。
Finally we got the main indices of eutrophication of lakes fleetly and exactly by analyzing the measured concentration of lakes in their algae breeding peak time.
藻类是反映水体富营养化最常用的生物监测指标。
Algae are the most frequently used biological monitoring indicators of waters eutrophication.
本文应用灰色GM(1,2)建模方法，提出了水质富营养化单项指标的一种新的预测模型。
In this paper, a new predicting model of single eutrophic index of water quality is developed by grey systems GM (1, 2) modelling.
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