Temporal drivers of tryptophan-like fluorescent dissolved organic matter along a river continuum

Sci Total Environ. 2024 Jun 10:928:172285. doi: 10.1016/j.scitotenv.2024.172285. Epub 2024 Apr 8.

Abstract

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.

Keywords: Catchment characteristics; Fluorescent organic matter; In situ microbial production; Microbial processing; Tryptophan-like.

MeSH terms

  • Chlorophyll A / analysis
  • Environmental Monitoring* / methods
  • Fluorescence
  • Groundwater / chemistry
  • Phytoplankton
  • Rivers* / chemistry
  • Tryptophan* / analysis
  • Wastewater / chemistry
  • Water Pollutants, Chemical / analysis

Substances

  • Tryptophan
  • Wastewater
  • Water Pollutants, Chemical
  • Chlorophyll A