Natural and Built Environments Research Centre, School of Natural and Built Environments, University of South Australia, SA 5095, Australia.
Environ Sci Process Impacts. 2019 Dec 11;21(12):2128-2140. doi: 10.1039/c9em00312f.
Determining inorganic nutrient profiles to support understanding of nitrogen transformations in stream sediments is challenging, due to nitrification and denitrification being confined to particular conditions in potentially heterogeneous sediment influenced by benthic microalgae, rooted aquatic plants and/or diel light cycles. The diffusive gradients in thin films (DGT) and diffusive equilibration in thin films (DET) techniques allow in situ determination of porewater concentration profiles, and distributions for some solutes. In this study, DGT, DET and conventional porewater extraction (sectioning and centrifugation) methods were compared for ammonium and nitrate in stream sediments under light and dark conditions. Two-dimensional distributions of Fe(ii) and PO4-P were also provided to indicate the degree of spatial and temporal heterogeneity in sediment porewater, which can explain the sources and sinks of ammonium at various depths in the sediments. Although the conventional porewater extraction method consistently measured higher NH4-N concentrations than the DGT and DET techniques, the study showed that the DET measurements were the most reliable indicator of porewater NH4-N concentrations, with the DGT data being usefully supplementary. However, a large proportion of the NO3-N concentrations measured by DGT and DET were close to or below the method detection limits. Therefore, further development of these techniques is required to reduce the blanks and detection limits to allow natural low sediment porewater NO3-N concentrations to be accurately monitored using DGT and DET. The study indicated that benthic microalgae had direct and indirect influences on porewater nutrient distributions over light-dark cycles. Overall, DGT and DET techniques can be useful for monitoring porewater nutrient concentrations and profiles and for determining how biological processes drive changes in sediment nutrient concentrations and distributions.
确定支持理解溪流沉积物中氮转化的无机养分剖面具有挑战性,这是因为硝化和反硝化受到底栖微藻、有根水生植物和/或昼夜光周期影响的潜在多相沉积物中特定条件的限制。薄膜扩散梯度(DGT)和薄膜扩散平衡(DET)技术允许原位测定孔隙水浓度剖面和一些溶质的分布。在这项研究中,在光照和黑暗条件下,比较了 DGT、DET 和传统孔隙水提取(分段和离心)方法对溪流沉积物中铵和硝酸盐的测定。还提供了二维 Fe(ii) 和 PO4-P 的分布,以指示沉积物孔隙水中空间和时间异质性的程度,这可以解释铵在沉积物不同深度的来源和汇。尽管传统的孔隙水提取方法始终测量出比 DGT 和 DET 技术更高的 NH4-N 浓度,但研究表明,DET 测量值是孔隙水 NH4-N 浓度最可靠的指示值,DGT 数据是有用的补充。然而,DGT 和 DET 测量的很大一部分 NO3-N 浓度接近或低于方法检测限。因此,需要进一步开发这些技术,以减少空白和检测限,从而能够使用 DGT 和 DET 准确监测自然低沉积物孔隙水中的 NO3-N 浓度。该研究表明,底栖微藻在光照-黑暗周期对孔隙水养分分布具有直接和间接影响。总的来说,DGT 和 DET 技术可用于监测孔隙水养分浓度和剖面,并确定生物过程如何驱动沉积物养分浓度和分布的变化。