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Sensitivity analysis for an elemental sulfur-based two-step denitrification model.

A Kostrytsia1, S Papirio2, M R Mattei3

  • 1Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, via Di Biasio 43, 03043 Cassino, FR, Italy

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|November 3, 2018
PubMed
Summary
This summary is machine-generated.

Elemental sulfur (S0) denitrification models are sensitive to sulfur particle surface area and hydrolysis rates. Microbially catalyzed S0 hydrolysis is the rate-limiting step in S0-driven denitrification.

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Area of Science:

  • Environmental microbiology
  • Biogeochemical modeling

Background:

  • Elemental sulfur (S0) is a promising substrate for denitrification.
  • Two-step denitrification models are used to simulate nitrogen removal processes.
  • Understanding model parameters is crucial for accurate predictions.

Purpose of the Study:

  • To perform a local sensitivity analysis on an S0-based two-step denitrification model.
  • To verify model stability and understand its structure.
  • To identify key parameters for optimization.

Main Methods:

  • Local sensitivity analysis was applied to a chemically synthesized S0-based denitrification model.
  • The model incorporated nitrite accumulation, biomass growth, and S0 hydrolysis.
  • Model outputs included nitrate, nitrite, and sulfate concentrations.

Main Results:

  • The mass specific area of sulfur particles (a*) and the hydrolysis kinetic constant (k1) were identified as dominant parameters.
  • Microbially catalyzed S0 hydrolysis was confirmed as the rate-limiting step.
  • Maximum growth rates of denitrifying biomass on nitrate and nitrite were the most sensitive kinetic parameters.

Conclusions:

  • The S0-based denitrification model's stability and structure were elucidated.
  • Key parameters for model optimization were identified, particularly those related to S0 hydrolysis.
  • The findings highlight the critical role of S0 hydrolysis in S0-driven denitrification processes.