Pretreatment of wastewater: Optimal coagulant selection using Partial Order Scaling Analysis (POSA)

Tzfati, Eran; Sein, Maya; Rubinov, Angelika; Raveh, Adi; Bick, Amos

doi:10.1016/j.jhazmat.2011.02.023

Cited by 11 publications

(5 citation statements)

References 66 publications

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“…In addition, a pretreatment for the HWW may reduce the bacteria level in the influent of the fungal bioreactor and consequently extend its viability. These processes include coagulation-flocculation and UV radiation, both methods widely used in WWTP [14,15]. Their technology can be readily applied, but none of the methods have been used as pretreatments before.…”

Section: Introductionmentioning

confidence: 99%

Continuous treatment of non-sterile hospital wastewater by Trametes versicolor: How to increase fungal viability by means of operational strategies and pretreatments

Mir-Tutusaus

Sarrà

Caminal

2016

Journal of Hazardous Materials

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Hospital wastewaters have a high load of pharmaceutical active compounds (PhACs). Fungal treatments could be appropriate for source treatment of such effluents but the transition to non-sterile conditions proved to be difficult due to competition with indigenous microorganisms, resulting in very short-duration operations. In this article, coagulation-flocculation and UV-radiation processes were studied as pretreatments to a fungal reactor treating non-sterile hospital wastewater in sequential batch operation and continuous operation modes. The influent was spiked with ibuprofen and ketoprofen, and both compounds were successfully degraded by over 80%. UV pretreatment did not extent the fungal activity after coagulation-flocculation measured as laccase production and pellet integrity. Sequential batch operation did not reduce bacteria competition during fungal treatment. The best strategy was the addition of a coagulation-flocculation pretreatment to a continuous reactor, which led to an operation of 28days without biomass renovation.

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Section: Introductionmentioning

confidence: 99%

Continuous treatment of non-sterile hospital wastewater by Trametes versicolor: How to increase fungal viability by means of operational strategies and pretreatments

Mir-Tutusaus

Sarrà

Caminal

2016

Journal of Hazardous Materials

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“…Other models reported in the literature are based on more complex mathematical approaches such as Response Surface Methodology (Khayet et al 2011;Trinh and Kang, 2011), Partial Order Scaling Analysis (Tzfati et al 2011) and Neural Fuzzy Inference System (Heddam and Dechemi, 2015). In these applications, data were acquired under controlled laboratory conditions such as by jar tests and in doing so, high reliance might can be placed on the data.…”

Section: Resultsmentioning

confidence: 99%

“…They include models designed for removal of colour, turbidity and organic matter and for coagulant dose prediction. Studies have also been conducted for development of effective mathematical methods and models to determine optimum coagulant doses for treatment of wastewaters, including by Huang et al (2009), Khayet et al (2011), Tzfati et al (2011) and Subramonian et al (2015).…”

Section: Introductionmentioning

confidence: 99%

Model development for prediction of alum dosing for treatment of domestic wastewater for recycling purposes

Aslam

Leeuwen²,

Crossing³

2015

Weber, T., McPhee, M.J. And Anderssen, R.S. (Eds) MODSIM2015, 21st International Congress on Modelling and Simulation

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Removal of algae present in domestic wastewaters of stabilization ponds can be a significant challenge in the supply of recycle water for re-use purposes. Algae can be present in high numbers, especially in warm to hot summer and autumn months diminishing water quality when most needed for reuse purposes. Consequently further treatment of wastewaters may be needed for removal of turbidity and algae, prior to recycled water supply. A large recycle water treatment plant in South Australia-the Bolivar DAFF plant utilizes alum as primary coagulant for algal and suspended solids removal. Alum dosing varies significantly throughout the year, depending on source water (from stabilization ponds) quality. Algae can be present at bloom levels (>10 6 cells per mL) and the water can be at very high pH (~ 10); and with high alkalinity, very high doses of alum may then be required. With this high variation in source water quality, adjustment of coagulant dosing is continually needed to be performed by operators, at times diurnally. This is done on the basis of meeting target treated water quality (of low turbidity) and minimizing costs of chemical use. Coagulant use at the plant has been highly variable, and with consideration that dosing at times, may not be at optimum. As part of continual process improvement, research was instigated to determine if model development could be achieved for prediction of coagulant dose requirements. Data available was sourced from documented treatment plant operations over a number of years where wastewater quality varied seasonally, and from laboratory investigations incorporating jar tests and water quality analyses. These water quality parameters included untreated water algae, pH, turbidity, ambient temperature and treatment plant daily processing volumes. The model developed is based on apparent relationships between each of the source water qualities with alum dose rates applied at the treatment plant. Data was highly scattered for most parameters and model development was in context that error was potentially in operational dose application, as well as in model fitting i.e. that actual dosing data was not presumed to be 'true' or optima, and general trend equations might best reflect the optima. From general trend relationships and fitted algorithms of each, a model was built where the outputs of each sub-model is averaged to provide a fitted or predicted value. Model options include selection of input variables (e.g. pH, turbidity, algal number) and weighting of importance to each parameter. Treatment plant operators have accepted the model as an additional tool for decision making. In this paper the need for and the design of the model are discussed.

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“…The analytical hierarchical process (AHP) is a strong and flexible decision-supporting process that helps in setting priorities and making the best decision when mutually qualitative and quantitative aspects are measured (Tzfati et al, 2011;Zhang et al, 2013). The AHP is designed for individual evaluation of a set of options based on multiple attributes, and is approved in a hierarchical building (Kayastha et al, 2013).…”

Section: Management Modeling and The Analytical Hierarchical Process mentioning

confidence: 99%

Brackish groundwater membrane system design for sustainable irrigation: optimal configuration selection using analytic hierarchy process and multi-dimension scaling

Lew

Trachtengertz

Ratsin

et al. 2014

Front. Environ. Sci.

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The recent high demands for reuse of salty water for irrigation affected membrane producers to assess new potential technologies for undesirable physical, chemical, and biological contaminants removal. This paper studies the assembly options by the analytic hierarchy process (AHP) model and the multi-dimension scaling (MDS) techniques. A specialized form of MDS (CoPlot software) enables presentation of the AHP outcomes in a two dimensional space and the optimal model can be visualized clearly. Four types of 8" membranes were selected: (i) Nanofiltration low rejection and high flux (ESNA1-LF-LD, 86% rejection, 10,500 gpd); (ii) Nanofiltration medium rejection and medium flux (ESNA1-LF2-LD, 91% rejection, 8200 gpd); (iii) Reverse Osmosis high rejection and high flux (CPA5-MAX, 99.7 rejection, 12,000 gpd); and (iv) Reverse Osmosis medium rejection and extreme high flux (ESPA4-MAX, 99.2 rejection, 13,200 gpd). The results indicate that: (i) Nanofiltration membrane (High flux and Low rejection) can produce water for irrigation with valuable levels of nutrient ions and a reduction in the sodium absorption ratio (SAR), minimizing soil salinity; this is an attractive option for agricultural irrigation and is the optimal solution; and (ii) implementing the MDS approach with reference to the variables is consequently useful to characterize membrane system design.

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Pretreatment of wastewater: Optimal coagulant selection using Partial Order Scaling Analysis (POSA)

Cited by 11 publications

References 66 publications

Continuous treatment of non-sterile hospital wastewater by Trametes versicolor: How to increase fungal viability by means of operational strategies and pretreatments

Continuous treatment of non-sterile hospital wastewater by Trametes versicolor: How to increase fungal viability by means of operational strategies and pretreatments

Model development for prediction of alum dosing for treatment of domestic wastewater for recycling purposes

Brackish groundwater membrane system design for sustainable irrigation: optimal configuration selection using analytic hierarchy process and multi-dimension scaling

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