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Unravelling organic matter and nutrient biogeochemistry in groundwater-fed rivers under baseflow conditions:uncertainty in in situ high-frequency analysis

机译:底流条件下地下水注入河流中有机物和营养生物地球化学的分解:原位高频分析的不确定性

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摘要

In agricultural catchments, diffuse nutrient fluxes (mainly nitrogen N and phosphorus P), are observed to pollute receiving waters and cause eutrophication. Organic matter (OM) is important in mediating biogeochemical processes in freshwaters. Time series of the variation in nutrient and OM loads give insights into flux processes and their impact on biogeochemistry but are costly to maintain and challenging to analyse for elements that are highly reactive in the environment. We evaluated the capacity of the automated monitoring to capture typically low baseflow concentrations of the reactive forms of nutrients and OM: total reactive phosphorus (TRP), nitrate nitrogen (NO3-N) and tryptophan-like fluorescence (TLF). We compared the performance of in situ monitoring (wet chemistry analyser, UV–vis and fluorescence sensors) and automated grab sampling without instantaneous analysis using autosamplers. We found that automatic grab sampling shows storage transformations for TRP and TLF and do not reproduce the diurnal concentration pattern captured by the in situ analysers. The in situ TRP and fluorescence analysers respond to temperature variation and the relationship is concentration-dependent. Accurate detection of low P concentrations is particularly challenging due to large errors associated with both the in situ and autosampler measurements. Aquatic systems can be very sensitive to even low concentrations of P typical of baseflow conditions. Understanding transformations and measurement variability in reactive forms of nutrients and OM associated with in situ analysis is of great importance for understanding in-stream biogeochemical functioning and establishing robust monitoring protocols.
机译:在农业流域,观察到养分流通量(主要是氮,磷和磷)污染了接收水并引起富营养化。有机物质(OM)在介导淡水中的生物地球化学过程中很重要。营养物和OM负载变化的时间序列可以深入了解通量过程及其对生物地球化学的影响,但维护成本高昂,并且难以分析在环境中具有高反应性的元素。我们评估了自动监测捕获典型的低基流浓度的营养物质和OM的反应能力的能力:总反应磷(TRP),硝酸盐氮(NO3-N)和色氨酸样荧光(TLF)。我们比较了原位监测(湿化学分析仪,紫外可见和荧光传感器)和自动抓取采样(无需使用自动进样器进行瞬时分析)的性能。我们发现,自动抓取采样显示了TRP和TLF的存储转换,而没有重现原位分析仪捕获的昼夜浓度模式。原位TRP和荧光分析仪可响应温度变化,并且该关系是浓度依赖性的。由于与原位和自动进样器测量相关的大误差,准确检测低P浓度尤其具有挑战性。水生系统可能对基流条件下典型的低P浓度都非常敏感。理解与原位分析相关的营养物和OM反应形式的转化和测量变异性对于了解流中生物地球化学功能和建立可靠的监测方案非常重要。

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