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首页> 外文期刊>Ambio: A Journal of the Human Environment >Quantifying Background Nutrient Concentrations in Coastal Waters: A Case Study from an Urban Embayment of the Baltic Sea
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Quantifying Background Nutrient Concentrations in Coastal Waters: A Case Study from an Urban Embayment of the Baltic Sea

机译:量化沿海水域的背景营养素浓度:以波罗的海的城市风蚀为例

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摘要

Successful management of damaged coastal ecosystems requires reliable scientific evidence of their past state. Here we demonstrate that the sediment record of biotic indicators can be used to quantitatively reconstruct nutrient concentrations preceding the short time span covered by monitoring records. We generated a diatom-based weighted-averaging partial least squares transfer function model for total dissolved nitrogen with a prediction accuracy of 0.09 μg L~(-1) (log10 units). The model was applied to sediment core data from Laajalahti Bay, an urban embayment in Helsinki, Finland, where its performance was validated against a ~30 yr record of water-quality data and known land-use changes in the watershed. The model tracked well the trends in the nutrient record, although it underestimated very high nutrient concentrations in this highly impacted embayment. The generally good agreement between the actual and predicted values implies that the approach has considerable potential in assessing background nutrient concentrations in coastal waters.
机译:成功管理受损的沿海生态系统需要可靠的科学证据来证明其过去的状态。在这里,我们证明了生物指标的沉积物记录可用于定量重建监测记录所覆盖的短时间之前的营养物浓度。我们为总溶解氮生成了基于硅藻的加权平均偏最小二乘传递函数模型,预测精度为0.09μgL〜(-1)(log10单位)。该模型被应用于芬兰赫尔辛基城市集散地Laajalahti湾的沉积物核心数据,并根据约30年的水质数据记录和流域内已知的土地利用变化对其性能进行了验证。该模型很好地跟踪了养分记录中的趋势,尽管它低估了在这个受严重影响的巢穴中很高的养分浓度。实际值和预测值之间的总体良好一致性意味着该方法在评估沿海水域中背景养分浓度方面具有相当大的潜力。

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