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首页> 外文期刊>Analytica chimica acta >A FACTOR ANALYSIS APPROACH TO THE STUDY OF THE EUTROPHICATION OF A SHALLOW, TEMPERATE LAKE (SAN DANIELE, NORTH EASTERN ITALY)
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A FACTOR ANALYSIS APPROACH TO THE STUDY OF THE EUTROPHICATION OF A SHALLOW, TEMPERATE LAKE (SAN DANIELE, NORTH EASTERN ITALY)

机译:浅层温带湖泊富营养化研究的因子分析方法(意大利北部圣丹尼尔)

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摘要

Ammonia, nitrite and nitrate nitrogen, dissolved oxygen, pH, temperature, total hardness, transparency and zooplankton abundance were determined in lake water samples in order to monitor the eutrophication process. Multivariate analysis methods, such as principal factor, cluster and stepwise regression analysis, were used to verify the associations among variables and to separate factors responsible for the observed increase of the eutrophication. Nitrate fertilizers from surrounding farmland appear to be the main source of pollution. A secondary factor is constituted by the whole biomass, which is both origin and effect of the increasing productivity of the lake: the anaerobic decomposition of the organic debris in the hypolimnion is relevant. Seasonal trends of the variable associations are also observed. [References: 26]
机译:测定湖水样品中的氨,亚硝酸盐和硝酸盐氮,溶解氧,pH,温度,总硬度,透明度和浮游动物的丰度,以监测富营养化过程。多变量分析方法,例如主因子分析,聚类分析和逐步回归分析,用于验证变量之间的关联并分离出引起富营养化现象增加的因子。周围农田的硝酸盐肥料似乎是主要的污染源。次要因素由整个生物量构成,这既是湖泊生产力提高的起源又是其影响:次生水体中有机碎片的厌氧分解是相关的。还观察到了变量关联的季节性趋势。 [参考:26]

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