A stochastic approach for regional-scale surface water quality modeling

Kardos, Máté Krisztián; Koncsos, L.

doi:10.1556/606.2017.12.1.2

Cited by 2 publications

(1 citation statement)

References 8 publications

(5 reference statements)

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“…Deterministic models are widespread in wastewater treatment, but stochastic tools in water quality modeling can be popular in water management [18].…”

Section: Introductionmentioning

confidence: 99%

Operation improvement of sequencing FED-batch wastewater treatment

Bába

Karches

2021

Pollack

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Sequencing batch reactor systems in wastewater treatment is widely applied activated sludge technology. The system performance is not only dependent on the raw sewage quality and biochemical processes, but the flow pattern within the reactor has a significant impact on the treatment itself. The varying stages of the operation require different fluid flow conditions; biological stage shall be appropriately mixed, whereas low velocity zones favor the phase separation. The aim of this study was to improve sequencing batch reactor operation in order to optimize the treatment efficiency. Numerical fluid dynamic simulations were performed to determine the substrate and biomass homogeneity inside the reactor at the biological phase and the rate of the decantation was estimated at the sedimentation phase. The settling model was calibrated by field measurements. The results revealed that the hydraulic efficiency of the reactor was 87% and the achievable settled solid content was 0.9%.

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“…Deterministic models are widespread in wastewater treatment, but stochastic tools in water quality modeling can be popular in water management [18].…”

Section: Introductionmentioning

confidence: 99%

Operation improvement of sequencing FED-batch wastewater treatment

Bába

Karches

2021

Pollack

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Modification of the MONERIS Nutrient Emission Model for a Lowland Country (Hungary) to Support River Basin Management Planning in the Danube River Basin

Jolánkai

Kardos

Clement

2020

Water

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The contamination of waters with nutrients, especially nitrogen and phosphorus originating from various diffuse and point sources, has become a worldwide issue in recent decades. Due to the complexity of the processes involved, watershed models are gaining an increasing role in their analysis. The goal set by the EU Water Framework Directive (to reach “good status” of all water bodies) requires spatially detailed information on the fate of contaminants. In this study, the watershed nutrient model MONERIS was applied to the Hungarian part of the Danube River Basin. The spatial resolution was 1078 water bodies (mean area of 86 km2); two subsequent 4 year periods (2009–2012 and 2013–2016) were modeled. Various elements/parameters of the model were adjusted and tested against surface and subsurface water quality measurements conducted all over the country, namely (i) the water balance equations (surface and subsurface runoff), (ii) the nitrogen retention parameters of the subsurface pathways (excluding tile drainage), (iii) the shallow groundwater phosphorus concentrations, and (iv) the surface water retention parameters. The study revealed that (i) digital-filter-based separation of surface and subsurface runoff yielded different values of these components, but this change did not influence nutrient loads significantly; (ii) shallow groundwater phosphorus concentrations in the sandy soils of Hungary differ from those of the MONERIS default values; (iii) a significant change of the phosphorus in-stream retention parameters was needed to approach measured in-stream phosphorus load values. Local emissions and pathways were analyzed and compared with previous model results.

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A stochastic approach for regional-scale surface water quality modeling

Cited by 2 publications

References 8 publications

Operation improvement of sequencing FED-batch wastewater treatment

Operation improvement of sequencing FED-batch wastewater treatment

Modification of the MONERIS Nutrient Emission Model for a Lowland Country (Hungary) to Support River Basin Management Planning in the Danube River Basin

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