Uncertainty modeling of facultative aerated lagoon systems

Ouldali, S.; Leduc, Roland; Nguyen, Van‐Thanh‐Van

doi:10.1016/0043-1354(89)90136-x

Cited by 11 publications

(4 citation statements)

References 22 publications

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“…A completely mixed tank was used to describe the hydraulics in the lagoon. To assume, complete mixing is a common simplification when modeling the hydraulics of aerated lagoons (Houweling, Kharoune, Escalas, & Comeau, 2005; Ouldali, Leduc, & Nguyen, 1989). The ASM1 default kinetic and stoichiometric parameters found in WEST 2017 for municipal wastewater treatment were all used for the simulations.…”

Section: Methodsmentioning

confidence: 99%

Nitrification in a biofilm‐enhanced highly loaded aerated lagoon

Patry

Lessard

Vanrolleghem

2019

Water Environment Research

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A full-scale biofilm-enhanced aerated lagoon using fixed submerged media was monitored using automated water quality monitoring stations over the span of one year to quantify its nitrification performance. The system was operating at a high organic loading rate averaging 5.8 g total CBOD 5 /m 2 of media per day (23.9 g total CBOD 5 /m 3 of lagoon per day), a total ammonia nitrogen loading rate averaging 0.9 g NH 4-N/m 2 day (3.7 g NH 4-N/m 3 day), and temperatures ranging from 1.6 to 20.8°C. The system showed an extended seasonal nitrification period compared with a simulated aerated lagoon system of the same dimensions. This extension of complete nitrification with approximately 1 month was observed in the fall despite the decrease of operating temperature down to 4°C. During this maximum nitrification period, substantial denitrification occurred, and the effluent un-ionized ammonia ratio was reduced. A temporary loss of nitrification was also experienced in relation to an episode of elevated suspended solids concentration. Measured biofilm characteristics, namely the detachment dynamics and the biofilm thickness, were used to explain this temporary nitrification loss. During wintertime, a low nitrate production was still observed, suggesting yearlong retention of nitrifying bacteria in the biofilm.

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Section: Methodsmentioning

confidence: 99%

Nitrification in a biofilm‐enhanced highly loaded aerated lagoon

Patry

Lessard

Vanrolleghem

2019

Water Environment Research

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“…For example, hypolimnetic oxygenation can only prevent the release of phosphorus and other reduced compounds from sediments, but does not attack pollution entering the water body (Schönach et al 2017). In addition, the injection of air or oxygen alone does not attack all pollutants, since organic matter must be in a biodegradable form in order to completely degrade (Ouldali et al 1989, Shammas et al 2009. Other substances such as recalcitrant organic compounds, pathogens, dyes, and various toxic substances cannot be efficiently removed from the water column by oxygen injection alone either.…”

Section: Introductionmentioning

confidence: 99%

Predictive modeling to determine oxygen and ozone doses applicable to in situ remediation of polluted water bodies

Tabla-Hernandez

Dellepere²,

Mangas-Ramírez

2022

Environ. Res. Lett.

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This work shows the results for the first time of calibrating and validating a mathematical model, capable of predicting the amounts of O3 and O2 necessary to reduce pollution levels in a lake based on the Chemical Oxygen Demand (COD), Biochemical Oxygen Demand (BOD5), Total nitrogen (TN), Total phosphorus (TP) and Fecal coliforms (FC) concentrations. The model was designed to treat a natural or artificial lake as though it were an aerated lagoon operating as an idealized Continuous flow complete-mix reactor. The O3 yield constant for eliminating the non-biodegradable fraction of COD and for deactivating fecal coliforms were laboratory derived and calibrated with field values. Based on the field parameters, the model accurately predicted a reduction in BOD5, COD, TN, TP and FC of 53 %, 51 %, 39 %, 42 % and 98 %, respectively. The model proved to be effective in predicting O2 and O3 demand and time of recovery of a polluted water body.

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“…This approach uses stochastic calculus to include environmental fluctuations or noise in a deterministic differential model [6,15,18,39,48]. The simple structure of basic model that describes the evolution of BOD has allowed this approach to be applied successfully and several works have appeared over the last two decades [17,22,23,27,28,40,46,54,55,57]. In particular, both Padget et al [28] and Finney et al [17], in their seminal works, formulated the Fokker-Plank equation for the Streeter-Phelps model [41] and were able to numerically compute the joint and marginal probability density functions of BOD and DO (i.e., dissolved oxygen) along a river with randomness in the initial conditions, inputs, and coefficients modelled as Gaussian white noise.…”

Section: Introductionmentioning

confidence: 99%