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Assessing the validity and sensitivity of microbial processes within a hydrodynamic model.

J E Ruprecht1, I P King2, S M Mitrovic3

  • 1Water Research Laboratory, School of Civil & Environmental Engineering, UNSW Sydney, NSW, 2052, Australia.

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Summary

This study developed a coupled model to understand eutrophication, finding that explicit bacterial processes improve ecosystem response prediction. The model highlights the impact of catchment loads and temperature on nutrient cycling and bacterial growth.

Keywords:
Aquatic ecosystem response modelsBacterial mineralisationEutrophicationModel response sensitivityNet growth rate

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Area of Science:

  • Environmental Science
  • Ecology
  • Hydrodynamics

Background:

  • Eutrophication from excess nutrients is a global issue, driven by complex physical and biological factors.
  • Existing models often lack multi-disciplinary integration of hydrodynamics and ecological responses.
  • Limited studies link site-specific physical processes with ecological outcomes from field and lab data.

Purpose of the Study:

  • To develop a coupled hydrodynamic and aquatic ecosystem model with an integrated microbial loop.
  • To explicitly represent heterotrophic bacteria growth and nutrient mineralization.
  • To validate and assess model sensitivity using a long-term dataset from an Australian estuary.

Main Methods:

  • Developed a coupled hydrodynamic and aquatic ecosystem model with an integrated microbial loop.
  • Incorporated explicit representation of heterotrophic bacteria growth and dissolved organic nutrient mineralization.
  • Validated the model using a unique long-term water quality dataset from a south-eastern Australian estuary.

Main Results:

  • Explicit, time-varying bacterial mineralization rates significantly improve understanding of ecosystem response compared to fixed rates.
  • The model is sensitive to boundary conditions, particularly catchment loads, affecting transport and bacterial growth rates.
  • Freshwater inflows during high flow increase nutrient loads and bacterial growth, while temperature variability compounds sensitivity.

Conclusions:

  • The coupled model provides improved insights into eutrophication dynamics by explicitly including microbial processes.
  • Catchment loads and flow variability are critical drivers of estuarine ecosystem response.
  • The approach is applicable to other riverine systems facing eutrophication and for studying hydrodynamic-microbial interactions.