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Variance Reduction for Trend Analysis of Hydrochemical Data in Brackish Waters

机译:咸水中水化学数据趋势分析的差异减少

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We propose one parametric and one nonparametric method for conducting trend tests on nutrient concentrations in brackish waters taking into account that the temporal variation in both nitrogen and phosphorus records can be strongly influenced by the mixing of sea water and fresh water. Both methods utilise salinity as a covariate in the trend analysis. Data on total phosphorus in the Baltic Sea showed that there was a downward trend, although it was very weak when the natural fluctuations in salinity had been taken into account.
机译:我们提出了一种参数和一种非参数方法,用于对咸水中的营养浓度进行趋势试验,考虑到氮气和磷记录的时间变化可能受到海水和淡水混合的强烈影响。两种方法都在趋势分析中使用盐度作为协变量。波罗的海中总磷的数据表明,当考虑到盐度的自然波动时,虽然非常弱。

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