British Geological Survey, Maclean Building, Wallingford OX10 8BB, UK.
British Geological Survey, Maclean Building, Wallingford OX10 8BB, UK.
Sci Total Environ. 2024 Jun 10;928:172285. doi: 10.1016/j.scitotenv.2024.172285. Epub 2024 Apr 8.
Tryptophan-like fluorescence (TLF) is used to indicate anthropogenic inputs of dissolved organic matter (DOM), typically from wastewater, in rivers. We hypothesised that other sources of DOM, such as groundwater and planktonic microbial biomass can also be important drivers of riverine TLF dynamics. We sampled 19 contrasting sites of the River Thames, UK, and its tributaries. Multivariate mixed linear models were developed for each site using 15 months of weekly water quality observations and with predictor variables selected according to the statistical significance of their linear relationship with TLF following a stepwise procedure. The variables considered for inclusion in the models were potassium (wastewater indicator), nitrate (groundwater indicator), chlorophyll-a (phytoplankton biomass), and Total bacterial Cells Counts (TCC) by flow cytometry. The wastewater indicator was included in the model of TLF at 89 % of sites. Groundwater was included in 53 % of models, particularly those with higher baseflow indices (0.50-0.86). At these sites, groundwater acted as a negative control on TLF, diluting other potential sources. Additionally, TCC was included positively in the models of six (32 %) sites. The models on the Thames itself using TCC were more rural sites with lower sewage inputs. Phytoplankton biomass (Chlorophyll-a) was only used in two (11 %) site models, despite the seasonal phytoplankton blooms. It is also notable that, the wastewater indicator did not always have the strongest evidence for inclusion in the models. For example, there was stronger evidence for the inclusion of groundwater and TCC than wastewater in 32 % and 5 % of catchments, respectively. Our study underscores the complex interplay of wastewater, groundwater, and planktonic microbes, driving riverine TLF dynamics, with their influence determined by site characteristics.
色氨酸样荧光(TLF)用于指示河流中溶解有机物质(DOM)的人为输入,通常来自废水。我们假设 DOM 的其他来源,如地下水和浮游微生物生物量,也可能是河流 TLF 动态的重要驱动因素。我们在英国泰晤士河及其支流的 19 个具有代表性的采样点进行了采样。根据逐步过程,根据与 TLF 的线性关系的统计显着性,为每个采样点使用 15 个月的每周水质观测值开发了多元混合线性模型,并使用预测变量进行了开发。考虑将钾(废水指标)、硝酸盐(地下水指标)、叶绿素-a(浮游植物生物量)和流式细胞术测定的总细菌细胞计数(TCC)纳入模型。在 89%的采样点的 TLF 模型中包含了废水指标。地下水在 53%的模型中被包含在内,特别是那些基流指数较高(0.50-0.86)的模型。在这些采样点,地下水作为 TLF 的负对照,稀释了其他潜在来源。此外,TCC 在 6 个(32%)采样点的模型中被正向纳入。使用 TCC 的泰晤士河自身的模型是污水输入较低的农村采样点。尽管存在季节性浮游植物水华,但叶绿素-a 仅在两个(11%)采样点的模型中使用。值得注意的是,废水指标并不总是在模型中包含的最强证据。例如,在 32%和 5%的流域中,地下水和 TCC 比废水更有证据表明包含在模型中。我们的研究强调了废水、地下水和浮游微生物之间复杂的相互作用,驱动了河流 TLF 动态,其影响取决于采样点的特征。