the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Contrasting Roles of Microbial Heterogeneity and Sediment Heterogeneity in Controlling Hyporheic Nitrogen Removal
Abstract. Bacteria in streambed sediments reduce nitrogen pollution by performing chemical reactions that can transform pollutants. However, how differences in sediment types (like sandy vs. clay-rich layers) or the distribution of these bacteria affect the nitrogen removal in streambed sediments remains unclear. To explore this, we built numerical models to mimic real streambed conditions and explore how small-scale variations in sediment and microbial communities influence nitrogen removal. Our results show that the spatial changes in physical and chemical properties of sediments (e.g., permeability and organic matter content) have little impact on nitrogen removal. Instead, variations in the distribution of nitrogen-processing microbes are far more critical. This is because bacteria and the sticky substances they produce can slowly clog the sediment pores. This clogging limits the movement of pollution to the very top layers of sediments, making deeper sediment differences irrelevant to overall nitrogen removal. These results mean that future numerical models aiming to predict nitrogen removal should focus on mapping where these helpful microbes live, rather than overcomplicating simulations with too much detail about sediment variations. Simplifying sediment assumptions could make models more practical while still capturing the key role of microbes in cleaning streams.
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Status: open (until 22 Aug 2026)
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RC1: 'Comment on egusphere-2026-3760', Anonymous Referee #1, 27 Jul 2026
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AC1: 'Reply on RC1', Zhang Wen, 11 Aug 2026
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The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2026/egusphere-2026-3760/egusphere-2026-3760-AC1-supplement.pdf
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AC1: 'Reply on RC1', Zhang Wen, 11 Aug 2026
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RC2: 'Comment on egusphere-2026-3760', Anonymous Referee #2, 30 Jul 2026
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This manuscript presents a coupled numerical investigation of nitrate removal in heterogeneous hyporheic sediments. The modeling framework is compelling, and the findings offer valuable insights for improving the representation of biogeochemical processes in hyporheic zone models. However, before publication, the following points require clarification and revision:
- Title Specificity: The title broadly refers to "nitrogen removal," whereas the study focuses specifically on nitrate removal via denitrification. Consider revising the title to "nitrate removal" or explicitly clarifying the scope of "nitrogen removal" in the introduction.
- Homogenization Methodology: The equivalent homogeneous models utilize effective permeability tensors but employ arithmetic means for organic matter (OM) content. Please justify the use of arithmetic averaging for OM and clarify whether this approach conserves the total initial OM mass between the heterogeneous and homogeneous domains.
- Boundary Condition Assumptions: The concentrations at the sediment-water interface remain constant throughout the 730-day simulation. Please confirm if the overlying stream is modeled as an infinite, well-mixed nutrient reservoir. A brief discussion regarding how this assumption might influence long-term nitrate removal estimates would strengthen the interpretation.
- Microbial Biomass Representation: Both aerobic respiration and denitrification are simulated using Monod kinetics with oxygen inhibition. Clarify whether these processes share a single functional biomass pool or distinct microbial guilds. If a single biomass variable is used, please acknowledge this simplification and discuss its potential impact on the spatial distribution of biogeochemical hotspots.
- Mechanistic Distinction: The interpretation heavily emphasizes progressive bioclogging near the sediment-water interface. Please more clearly differentiate between nitrate removal driven directly by enhanced microbial reactivity and that resulting indirectly from altered hyporheic exchange and extended solute residence times.
- Dimensionality and Bedform Effects: The simulations are two-dimensional, representing repeating ripple structures. Discuss whether three-dimensional flow paths or non-repeating bedforms might introduce additional bypass routes around the clogged surface layer. This would clarify the applicability of the proposed mechanism to natural streambeds.
- Sediment Stability: The model assumes fixed sediment structure and streambed topography over 730 days. Please explicitly state that sediment mobility, bedform migration, and biofilm detachment are neglected. Given that these processes often limit persistent bioclogging in natural systems, adding a statement regarding this limitation is crucial.
- Section Numbering: Please correct the section numbering. "3 Results and Discussion" is followed immediately by "5 Conclusions," indicating that Section 4 is missing.
- Definition of Metrics: Define the total nitrate removal metric (RN) more explicitly. Specify the calculation method, integration period, and the physical meaning of the unit "g m−1" within the context of a 2D model (i.e., per unit channel width).
- Table 1 Corrections: Several entries in Table 1 require correction: (i) permeability units should be m2, not m s−1; (ii) transverse dispersivity is mislabeled as αL (longitudinal); (iii) clarify ambiguous range values and source labels; and (iv) remove the extraneous character in "1600c."
- Notation Consistency: Ensure consistency in symbols and terminology across the text, tables, and figures. Address discrepancies such as OM vs. POC and X vs. Xh. All variables presented in Figs. 3–5 must be defined in the respective captions.
Citation: https://doi.org/10.5194/egusphere-2026-3760-RC2 -
AC2: 'Reply on RC2', Zhang Wen, 11 Aug 2026
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The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2026/egusphere-2026-3760/egusphere-2026-3760-AC2-supplement.pdf
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The manuscript investigates the contrasting effects of sediment and microbial heterogeneity on hyporheic nitrate removal using coupled flow, reactive-transport, and biofilm-growth models. The topic is highly relevant, and the modelling framework is potentially valuable. The manuscript is generally well organized, but several points should be clarified before publication.