Document Type : ORIGINAL RESEARCH ARTICLE

Authors

1 Department of Environmental Engineering, University of Córdoba, Carrera 6 No. 77- 305, Montería, Colombia

2 Environmental Engineering Program, University of Córdoba, Carrera 6 No. 77- 305, Montería, Colombia

Abstract

BACKGROUND AND OBJECTIVES: One of the negative impacts of polluting activities on aquatic ecosystems is the loss of its natural self-purification ability, for this reason, the purpose of this research was to evaluate the Sinú river capacity to assimilate wastewater discharges.
METHODS: Monitoring of several water quality parameters was carried out in the river at different seasons and a numerical method was used to simulate different scenarios through the Environmental Fluid Dynamics Code model. The model calibration process was tested applying the Root Mean Square Error and after calibrating the model, scenarios of increase and decrease of discharge concentrations and flows, and river flows were simulated. Finally, the results were compared to water quality reference limits.
FINDINGS: Results show that the model accurately represented the real conditions of the studied river section for all the evaluated parameters. Also, assimilative capacity was affected mostly by the scenario in which the river flow was decreased by 50%, and the flows and discharges concentrations were increased five times; causing parameters such as ammonia nitrogen, chemical oxygen demand, phosphates, and total nitrogen, to exceed the established reference limits with maximum concentrations of 2.7 mg/L, 30.9mg/L, 0.98 mg/L and 6.3 mg/L; respectively. Higher concentrations of water quality parameters were mostly found in the dry season since lower velocities and river flows promote less pollutants mixing and dilution processes.
CONCLUSION: The model spatiotemporal simulations showed the effect of the wastewater discharges on the Sinú River assimilative capacity and made it possible to find those scenarios where water quality parameters exceeded the reference limits, becoming an essential tool for water management and the development of strong water quality objectives by stakeholders and environmental authorities.

Graphical Abstract

Water quality model-based methodology to assess assimilative capacity of wastewater discharges in rivers

Highlights

  • The hydrodynamic and water quality model EFDC Explorer showed an adequate adjustment between measured data with those calculated by the model;
  • Sinú River showed a lower assimilation capacity for all parameters except TSS between March and May (dry season);
  • Sinú River assimilative capacity is more sensitive to changes in discharge flows than changes in discharge concentrations;
  • Higher concentrations of water quality parameters were mostly found in dry season since lower velocities and river flows produce less pollutants dilution mixing and dilution processes.

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