pH modeling for maximum dissolved organic matter removal by enhanced coagulation

Xie, Juan; Wang, Dongsheng; Leeuwen, John van; Zhao, Yanmei; Lu, Xiaorong; Chow, Christopher W.K.

doi:10.1016/s1001-0742(11)60717-1

Cited by 40 publications

(30 citation statements)

References 23 publications

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“…Enhanced coagulation can be defined as methods that uses effective coagulant dosage to remove TOC or minimized DOC residual after coagulation in drinking water sources (Xie et al, 2012;Singer and Bilk, 2002;Volk et al, 2002). In the beginning of water treatment process, coagulation was employed with focus to reduce turbidity.…”

Section: Enhanced Coagulationmentioning

confidence: 99%

“…Hence different methods were proposed for removing or reducing NOM amount in drinking water sources. Besides NOM treatment, methods for DBPs removal from drinking water was also developed (Wang et al, 2013c;Duan et al, 2012;Xie et al, 2012;Comninellis et al, 2008;Cai et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

“…A number of studies have been conducted in order to find the best solution for controlling DBPs formation by reducing NOM amount in drinking water sources (Xie et al, 2012;Toor, and Mohseni, 2007;Singer, and Bilyk, 2002). Different approaches were taken by researchers in developing methods at different stages of drinking water treatment.…”

Section: Introductionmentioning

confidence: 99%

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Trends on Natural Organic Matter in Drinking Water Sources and its Treatment

Ibrahim¹,

Aziz²

2014

IJSRES

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Abstract. Natural organic matter (NOM) can be defined as a mixture of complex organic compounds that universally present in natural waters. High NOM content in water strongly impact the water quality and treatment in several ways (e.g. causing colour and odour, filter fouling and increase coagulant dose). Besides that, NOM also acts as the main precursor to disinfectant by products (DBPs) produce from the reaction of NOM and disinfectant during water treatment. DBPs are known to be carcinogenic to human and animals. The formation of DBPs is depending on NOM characteristics. Generally, NOM characteristics are differ according to the water sources. In order to understand NOM properties, NOM fractionation is required and therefore different approaches have been proposed for its characterization. Meanwhile several methods of treatment have been developed to remove or reduce the amount of NOM in drinking water sources to prevent DBPs formation. The aim of this paper is to review and discuss the properties and available treatment techniques for NOM.

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Section: Enhanced Coagulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Trends on Natural Organic Matter in Drinking Water Sources and its Treatment

Ibrahim¹,

Aziz²

2014

IJSRES

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“…However, coagulants are used not only to destabilize colloidal particles but also to remove natural organic matter (Pernitsky & Edzwald, 2006;Xie et al, 2012).…”

Section: Water Treatment Processmentioning

confidence: 99%

<b>Intelligent system for improving dosage control

et al. 2017

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ABSTRACT. Coagulation is one of the most important processes in a drinking-water treatment plant, and it is applied to destabilize impurities in water for the subsequent flocculation stage. Several techniques are currently used in the water industry to determine the best dosage of the coagulant, such as the jar-test method, zeta potential measurements, artificial intelligence methods, comprising neural networks, fuzzy and expert systems, and the combination of the above-mentioned techniques to help operators and engineers in the water treatment process. Current paper presents an artificial neural network approach to evaluate optimum coagulant dosage for various scenarios in raw water quality, using parameters such as raw water color, raw water turbidity, clarified and filtered water turbidity and a calculated Dose Rate to provide the best performance in the filtration process. Another feature in current approach is the use of a backpropagation neural network method to estimate the best coagulant dosage simultaneously at two points of the water treatment plant. Simulation results were compared to the current dosage rate and showed that the proposed system may reduce costs of raw material in water treatment plant.Keywords: water treatment plant, process control, coagulant dosage, artificial neural networks, optimization.Inteligência artificial aplicada ao controle da dosagem de coagulante em plantas de tratamento de água RESUMO. A coagulação é um dos processos mais importantes em uma planta de tratamento de tratamento de água e é utilizado para desestabilizar as impurezas contidas na água para possibilitar a floculação. Atualmente, algumas técnicas têm sido utilizadas na área para determinar a melhor dosagem, como ensaios de jar-teste, medidas do potencial zeta e métodos de inteligência artificial, como Redes Neurais Artificiais, Fuzzy e Sistemas Especialistas, as quais permitem combinações de técnicas para auxiliar os operadores e engenheiros no processo de tratamento de água. Este artigo apresenta uma abordagem de rede neural artificial para a avaliação da dosagem de coagulante otimizada em vários cenários de qualidade da água bruta, utilizando alguns parâmetros, tais como a cor da água bruta, turbidez das águas bruta, decantada e filtrada, além de uma entrada calculada, denominada Dose Rate para monitorar o processo de filtração. Outra característica presente nesta abordagem é a utilização do método backpropagation nas redes neurais artificiais para estimar a melhor dosagem coagulante em dois pontos da instalação de tratamento de água simultaneamente. Os resultados da simulação foram comparados com a dosagem atual e apontaram que o sistema proposto pode trazer redução nos custos de matéria-prima na estação de tratamento de água.Palavras-chave: planta de tratamento de água, controle de processos, dosagem de coagulante, redes neurais artificiais, otimização.

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“…The basic concept of the Australian approach was recently applied and developed further, based on data for 13 raw water types in China [28,29]. Besides describing pH changes for four coagulants in more detail, an attempt has also been made to characterize the NOM properties by physical and chemical fractionation techniques.…”

Section: Feed-forward Control Based On Raw Water Qualitymentioning

confidence: 99%

State of the Art of Online Monitoring and Control of the Coagulation Process

Ratnaweera

Fettig

2015

Water

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Abstract:Coagulation is an essential process for the removal of suspended and colloidal material from water and wastewater. However, no comprehensive or universally accepted mathematical description of the process has been developed so far. Therefore, process optimization and control is usually based on data from jar tests and simple flow-proportional dosing concepts, while more accurate concepts based on water quality parameters that can be measured online are emerging. In addition, there have been attempts to develop software sensors and control schemes that involve advanced mathematical analyses of these parameters. The paper presents an overview of the parameters and physical sensors that are used for feed-forward and feed-backward control schemes and the experiences that have been made with their implementation. Moreover, the development and use of software sensors is described. Finally, the practical applications of different control techniques are given in order to illustrate the state of the art of coagulation control. Some thoughts about research needs conclude this review.

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pH modeling for maximum dissolved organic matter removal by enhanced coagulation

Cited by 40 publications

References 23 publications

Trends on Natural Organic Matter in Drinking Water Sources and its Treatment

Trends on Natural Organic Matter in Drinking Water Sources and its Treatment

<b>Intelligent system for improving dosage control

State of the Art of Online Monitoring and Control of the Coagulation Process

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