Abstract

The aim of this study is to develop a new trophic level index using water quality parameters which are known to affect eutrophication but not in national and international standards used for trophic classification and to demonstrate the applicability of index. For this purpose, water quality variables obtained from shallow lakes were statistically analyzed by using principal component analysis (PCA) and multiple linear regression analysis (MLR). The variables used in the PCA and MLR analyzes (Mn, SiO₂, TN) were added to the Carlson (1977) index step by step according to the TSI (Chl-a) empirical equation to develop a new index. Also TP and TN variables present in the indices were included in the model and the Chl-a expression ratio of all variables was defined as 88%. A new trophic level index was developed by taking into account the parameters affecting the eutrophication and the degree of effect. To reinterpret and evaluate some changes in existing indices allow trophic index evaluation results to be more reliable trophic status. This new index, which was developed for the stated purposes, is expected to provide a new perspective and contribute to the improvement studies and literature.

中文翻译：

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浅水湖泊营养指数的新统计视角

摘要

这项研究的目的是使用已知会影响富营养化的水质参数（而不是用于营养分类的国家和国际标准）开发一种新的营养水平指数，并证明该指数的适用性。为此，使用主成分分析（PCA）和多元线性回归分析（MLR）对从浅湖获得的水质变量进行统计分析。PCA和MLR分析中使用的变量（Mn，SiO ₂，TN）根据TSI（Chl-a）经验公式逐步添加到Carlson（1977）指数中，以开发新的指数。模型中还包括了指标中存在的TP和TN变量，所有变量的Chl-a表达率均定义为88％。通过考虑影响富营养化的参数和影响程度，开发了一种新的营养水平指数。重新解释和评估现有指标的某些变化可使营养指数评估结果更可靠地成为营养状态。为上述目的而开发的新索引有望提供新的视角，并为改进研究和文献做出贡献。