Computation of nitrate concentrations in coastal waters using an in situ ultraviolet spectrophotometer: Behavior of different computation methods in a case study a steep salinity gradient in the southern North Sea

Carsten Frank , Daniela Meier , Daniela Voß , Oliver Zielinski
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引用次数: 16

Abstract

Absorption spectra of seawater can be used to estimate the concentration of nitrate based on the UV absorption characteristic of nitrate. However the results of that estimation show an increased uncertainty compared to wet chemical methods. This is caused by the close proximity and the magnitude of the bromide peak (as the main component of seawater salt) close to the nitrate signal in the UV. Current data processing methods are optimized to give good results under constant conditions in terms of temperature, salinity, and CDOM concentration. However, in coastal regions all three parameters are highly variable.

In this work three methods to determine nitrate concentration from the seawater UV spectrum are compared: (A) via the subtraction of the seawater spectrum and CDOM absorbance from the total absorbance of the sample and then fitting the nitrate absorption to the remaining absorbance, (B) the subtraction of the seawater spectrum and fitting the spectral signature of nitrate and CDOM as suggested by Sakamoto et al. (2009) and (C) the direct determination via the fitting of the spectral signature of all components to the sample spectrum. The results of all three methods correlate (R>0.99) very well with each other as well as to the results of the wet chemical analysis.

An extensive dataset of a transect from the Southern North Sea into the Weser estuary (RV HEINCKE transect 345), which covers a broad salinity range as well as a broad range of nitrate concentrations, is used to exemplary show the potential and the limitations of all three methods under these conditions.

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使用原位紫外分光光度计计算沿海水域硝酸盐浓度:在北海南部陡然盐度梯度的案例研究中,不同计算方法的行为
根据硝酸盐的紫外吸收特性,可以利用海水的吸收光谱估计硝酸盐的浓度。然而,与湿化学方法相比,这种估计的结果显示出更大的不确定性。这是由于溴化物峰(作为海盐的主要成分)在紫外线中接近硝酸盐信号,且其幅度接近。对现有的数据处理方法进行了优化,在温度、盐度、CDOM浓度等条件下均能得到较好的结果。然而,在沿海地区,这三个参数变化很大。本文比较了海水紫外光谱测定硝酸盐浓度的三种方法:(A)从样品的总吸光度中减去海水光谱和CDOM吸光度,然后将硝酸盐吸收与剩余吸光度拟合;(B)根据Sakamoto等人(2009)的建议,减去海水光谱并拟合硝酸盐和CDOM的光谱特征;(C)通过将所有组分的光谱特征拟合到样品光谱中直接测定。所有三种方法的结果相互之间以及与湿化学分析结果的相关性(R>0.99)都非常好。从北海南部到Weser河口的样带的广泛数据集(RV HEINCKE样带345)涵盖了广泛的盐度范围和硝酸盐浓度范围,用于示范显示在这些条件下所有三种方法的潜力和局限性。
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