The theoretical analysis of the filter run time

Polyakov, V. L.

doi:10.3103/s1063455x09060010

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…During the groundwater iron-removing in filters usually considered two parallel processes: the water treatment efficiency and increased of head loss, as with clarifying of surface water [POLYAKOV 2009]. The first process is the main and second is the accompanying.…”

Section: Methodsmentioning

confidence: 99%

Technological model of water contact iron removal

Martynov

Fylypchuk

Zoshchuk

et al. 2018

Journal of Water and Land Development

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Different types of filters are used to remove iron from underground water, one of them is foam polystyrene. Depending on the chemical water composition, tasks for water supply and other working conditions of iron-removing filters, it is necessary to define an exact grain size, specific granulometric composition, the thickness of the layer and the adequate rate of filtration. This kind of problems is multifactorial and its solution is based on the mathematical modelling.As a rule, two parallel processes considered during iron removal of underground water in filters: efficiency of water treatment and growth of head losses. Therefore, the model of water iron removal based on two main blocks, clarifying block takes into account the material balance and kinetics of the process; hydrodynamic block describes the dynamics of head loss in the granular loading. The kinetics of the detention of iron compounds in granular loading consists of two mutually opposite processes. With an increase of the amount of adsorption-catalytic precipitate, the rate of sorption of iron compounds and oxidation of ferric iron increases and the efficiency of iron-removing increases. On the other hand, with decreasing porosity of loading the true velocity of the fluid increases, that reduces the intensity of adhesion of iron compounds.Developed mathematical model allows for determining optimal values of structural and technological parameters of iron-removing filters taking into consideration the specific filtering conditions.

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Section: Methodsmentioning

confidence: 99%

Technological model of water contact iron removal

Martynov

Fylypchuk

Zoshchuk

et al. 2018

Journal of Water and Land Development

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“…The length of a typical filter run should be predominantly composed of stable operation and is reflected in many performance assessment metrics such as unit filter run volume (AWWA, 2011). Periods of deteriorated source water quality tend to reduce the length of stable operation and can reduce filtration performance because of increased solids loading to filters (Polyakov, 2009), especially when chemical pre-treatment (e.g., residuals management in clarifiers) is strained (Kundert et al, 2014).…”

Section: Duration Of Maximum Pathogen Removal Performance (Stable Ope...mentioning

confidence: 99%

Filter operation effects on plant‐scale microbial risk: Opportunities for enhanced treatment performance

de Brito Cruz,

Brown,

Jin

et al. 2023

AWWA Water Science

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Granular media filtration remains a critical treatment process and regulatory requirement for managing pathogenic protozoa in drinking water. It is a dynamic process in which performance inherently varies. While research has focused on characterizing or maximizing (oo)cyst removal in individual filters, the risk implications of combinations of filters moving through different phases of the filter cycle (leading to temporal variation in plant‐scale performance) have not been described. Increasing threats from climate‐change‐exacerbated landscape disturbances leading to more variable source water quality emphasize the need for such evaluations. Here, a modeling framework was developed to investigate the impacts of individual filter performance variation on plant‐scale performance. It is shown that improving maximal removal during stable operation does not necessarily improve average performance. The effect of other design and operational strategies like increasing the number of filters or implementing proactive operations (e.g., avoiding breakthrough) are analyzed, thereby providing guidance for increasing treatment resilience.

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Theoretical Analysis of Reagent Filtration of Aqueous Suspensions with Unregulated Filtration Rate

Poliakov¹

2022

Theor Found Chem Eng

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The theoretical analysis of the filter run time

Cited by 4 publications

References 5 publications

Technological model of water contact iron removal

Technological model of water contact iron removal

Filter operation effects on plant‐scale microbial risk: Opportunities for enhanced treatment performance

Theoretical Analysis of Reagent Filtration of Aqueous Suspensions with Unregulated Filtration Rate

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