A Dynamic Physicochemical Model for Chemical Phosphorus Removal

Hauduc, Hélène; Takács, Imre; Smith, D. Scott; Szabó, Anita; Murthy, Sudhir; Spérandio, Mathieu

doi:10.2175/193864713813525473

Cited by 4 publications

(3 citation statements)

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“…Moreover, they observed that when millimolar concentrations of Fe(II) salts were added to wastewater, strengite formation would be much more likely in the pH range of 6.5-7.5 where Fe(III) would be generated more slowly by oxidation of Fe(II). However, Hauduc et al (2015) suggested that formation of amorphous ferric hydroxides would take precedence over that of FePO 4 (s) since the former was more insoluble than the latter over most of the pH range of interest. In our study, Fe accumulation in synchrony with P i accumulation also mainly occurred in the first few hours for periphyton suspensions was in the pH range of 6-8.…”

Section: Effect Of Fe(ii) On P I Accumulationmentioning

confidence: 99%

Mechanisms of enhanced inorganic phosphorus accumulation by periphyton in paddy fields as affected by calcium and ferrous ions

Deng

Hesterberg

et al. 2017

Science of The Total Environment

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Section: Effect Of Fe(ii) On P I Accumulationmentioning

confidence: 99%

Mechanisms of enhanced inorganic phosphorus accumulation by periphyton in paddy fields as affected by calcium and ferrous ions

Deng

Hesterberg

et al. 2017

Science of The Total Environment

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“…PFS behaved best in TP removal, while PAC and PAFC were closed in removal efficiency. According to Hauduc et al [16], the high TP removal rate was due to chemical phosphate removal by ferric and aluminum ions co-precipitation.…”

Section: Raw Water Qualitymentioning

confidence: 99%

Feasibility and optimization of wastewater treatment by chemically enhanced primary treatment (CEPT): a case study of Huangshi

Wang

et al. 2016

Chemical Speciation & Bioavailability

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Carbon and nutrients as well as suspended solids (SS) removal by chemically enhanced primary treatment (CEPT) were conducted in the Qingshan wastewater treatment plant in Huangshi, Hubei Province. Feasibility of this process for wastewater treatment were investigated in detail by comparing the removal performance of three inorganic chemical coagulants (polyaluminium chloride, polyaluminium ferric chloride [PAFC] and poly ferric sulfate) individual or couple with poly acrylamide, optimizing the conditions during CEPT by both single factor analysis and orthogonal test designs. The results of this study demonstrated that CEPT turned out to be an effective method for wastewater treatment, with PAFC as the optimal coagulant, which showed preeminent removal capacity for chemical oxygen demand, total phosphorus and SS. The optimal working condition could be at pH 7.0, settling time 15 min, and velocity gradient of 174.80 and 15.56 s −1 for mixing and reaction phase respectively. While the coagulant dosage depends on raw water attributes, which had a decisive effect on CEPT treatment performances. However, the three coagulants behaved poorly in nitrogen removal.

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“…Several studies have used different modelling approaches to gain an improved understanding of minerals precipitation mechanisms (Barat et al 2011, Hauduc et al 2015, Henze et al 2000, Lizarralde et al 2015, Maurer et al 1999, Musvoto et al 2000a). Typically, unique modelling approaches have been applied to specific experimental datasets.…”

Section: Minerals Precipitation Modelling Approachmentioning

confidence: 99%

Dynamic modelling of minerals precipitation in wastewater treatment

Mbamba¹

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In wastewater treatment, there is an increasing focus on nutrient and energy recovery and a reduction in energy consumption to counter climate change. Because of this, integrated mathematical modelling platforms are required to support plant-wide developments making use of emerging, resilient and environmental-friendly technologies. A reliable model description of a wastewater treatment plant should include both biology and physico-chemistry. However, existing standard models used across the wastewater sector have a biological focus with over-simplified descriptions of important physicochemistry, especially with minerals precipitation which is a very important class of physicochemical reactions.As part of development of a more widely applicable physicochemical framework, this thesis sought to identify a suitable minerals precipitation modelling approach that could give reasonable results in mainstream use with wastewater treatment. This research aim was approached in three steps. Firstly a review of available modelling approaches suggested a simple equilibrium kinetic-based modelling approach could be feasible. This approach was then validated in a simple system of calcite in synthetic solutions using pH titration experiments with the reliable Constant Composition Method (CCM).Further statistical analysis focused on clarifying key environmental factors that influence calcite precipitation to determine whether these are necessary to include in a model. Secondly, the proposed model approach was further tested on different types of wastewater and for multiple parallel precipitation reactions. Experiments included dynamic titration or aeration with synthetic wastewater and real wastewater. Thirdly, the general physicochemical modelling approach was implemented in a plant-wide platform together with standard biological models, namely activated sludge model No 2 (ASM2d) and Anaerobic Digestion Model No. 1 (ADM1). The plant-wide model evaluation compared simulations with real data from a full-scale wastewater treatment plant, and used steadystate, dynamic and scenario analyses to test the model performance.Experimental evidence for calcite precipitating in synthetic aqueous solutions, suggested that minerals precipitation kinetics could be reliably described with a 1 st order dependency on mineral Further testing for multi-species systems in real wastewater indicated that precipitation was dominated by the mineral struvite, forming together with varied and minor amounts of calcium phosphate and some calcium carbonate. Kinetic rate coefficients (kcryst), which were statistically fitted, were generally in the range 0.35-11.6 h -1 with 95% confidence intervals of 10-80% relative.The results confirmed that the baseline model approach provided a statistically good fit of measured pH, dissolved calcium, magnesium, total inorganic carbon and phosphate. With this application, the precipitation modelling approach offered the advantage of only requiring a minimal number of empirical fitted parameters (kcryst values), res...

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A Dynamic Physicochemical Model for Chemical Phosphorus Removal

Cited by 4 publications

References 0 publications

Mechanisms of enhanced inorganic phosphorus accumulation by periphyton in paddy fields as affected by calcium and ferrous ions

Mechanisms of enhanced inorganic phosphorus accumulation by periphyton in paddy fields as affected by calcium and ferrous ions

Feasibility and optimization of wastewater treatment by chemically enhanced primary treatment (CEPT): a case study of Huangshi

Dynamic modelling of minerals precipitation in wastewater treatment

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