Ruptura e recrescimento de flocos em água com substâncias húmicas aquáticas coagulada com sulfato de alumínio e cloreto férrico

Constantino, Luís Truppel

doi:10.11606/d.18.2008.tde-22102008-193848

Cited by 3 publications

(7 citation statements)

References 2 publications

(4 reference statements)

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“…It can be identified in Figure 3-A, with Vs = 1.0 cm min -1 , in 3-B, with Vs = 2.5 cm min -1 and in figure 3-C, with Vs = 5.0 cm min -1 that only the Bratby Model oscillates in relation to the experimental data, emphasizing that in this experiment Voltan used aluminum sulfate as coagulant. In Figure 3-D, with Vs = 1.0 cm min -1 , in 3-E, with Vs = 1.5 cm min -1 and in Figure 3-F, with Vs = 3.0 cm min -1 , which evidences the experimental data of Constantino (2008), although he used ferric chloride as a coagulant and a different sedimentation rate from the study by Voltan (2007), it was possible to observe similar results in relation to the compared models.…”

Section: Comparison Between Methods and Modelssupporting

confidence: 78%

“…For the comparison of methods and models, experimental data from Dantas et al (2000), Voltan (2007), Constantino (2008) and Brito et al (2016) were used. Waters with the following characteristics were studied: Dantas, 2000, pH from 7.35 to 7.55, turbidity between 24 and 28 uT, apparent color between 175 and 215 uC, alkalinity from 23 to 27 mg.L of CaCO3; conductivity of 45.9 µS.cm; Constantino (2008), pH from 5.8 to 6.2, turbidity between 4 and 6 uT, apparent color between 100 and 150 uH, alkalinity from 14 to 18 mg.L of CaCO3; conductivity of 78.5 µS.cm; Brito et al, 2016, pH from 6.9 to 7.5, turbidity between 458 and 633.67 uT, apparent color between 720 and 750 uH, alkalinity from 42 to 43 mg.L -1 of CaCO3; conductivity of 106.67 µS.cm -1 .…”

Section: Methodsmentioning

confidence: 99%

“…The experimental data from Dantas et al (2000), Voltan (2007), Constantino (2008) and Brito et al (2016) were simulated by the MEAR, MPDPG and KC -Marques and Ferreira Filho Models. Table 1 presents the values with their respective deviations (errors), difference between experimental and theoretical efficiency.…”

Section: Comparison Between Methods and Modelsmentioning

confidence: 99%

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Mathematical modeling of water flocculation process with high turbidity: studies and comparative analysis between methods and models

Graça,

Botari

2023

Rev. ambiente água

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The quality of water used by a population is directly proportional to the efficiency of its treatment. Mathematical modeling appears in this context as a tool for optimizing processes in order to make them more efficient, economical and sustainable. This work analyzed and compared the effectiveness of phenomenological mathematical models used in flocculation kinetics in water treatment. The results were obtained by comparing the Argaman and Kaufman Model with the Bratby Method; the Aggregation and Rupture Equation Method - MEAR; and the Method of the First Partial Derivative in Relation to the Velocity Gradient in Flocculation - MPDPG and a model that includes a new term (KC) that contemplates a supposed process of irreversibility of floc. The mathematical modeling was validated and compared with experimental data. The coefficients of the models and methods were obtained using the Excel® solver® tool using spreadsheets from the same application. It was possible to identify that the Bratby Method, which obtained an average deviation of the order of 30%, was the least efficient, while the MEAR and MPDPG Methods, which obtained about 18% of average deviation and the Kc Model with a deviation of the order of 19%, proved to be efficient in describing the experimental data used. Keywords: flocculation, mathematical modeling, water treatments.

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Section: Comparison Between Methods and Modelssupporting

confidence: 78%

Section: Methodsmentioning

confidence: 99%

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Mathematical modeling of water flocculation process with high turbidity: studies and comparative analysis between methods and models

Graça,

Botari

2023

Rev. ambiente água

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“…Two waters were prepared from stock solutions. For one, denominated type 1, 30 mg/L humic acid solution (Aldrich Chemical) was used to obtain a 50 PtCoas initial condition, according to Constantino (2008). For another, denominated type 2, kaolin solution (Fluka) was prepared to obtain 25 NTU, according to Pádua (1994) and Yukselen and Gregory (2004).…”

Section: Waters Studied and Coagulationmentioning

confidence: 99%

Reversibility of Al-Kaolin and Al-Humic Aggregates Monitored by Stable Diameter and Size Distribution

Moruzzi

Silva

2018

Braz. J. Chem. Eng.

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The reversibility of aggregates during flocculation was investigated. The stable diameter (d) and the power law slope coefficient of the particle size distribution (β) were applied to follow reformation after breakage. A non-intrusive image-based technique was used for monitoring flocs. Aggregates were formed by adding alum [Al 2 (SO 4) 3 •18H 2 O] by the sweep-coagulation mechanism to two synthetic waters, prepared from kaolin (Fluka) and humic acid (Aldrich Chemical). Velocity gradients (G) varied from 20 to 120 s-1 during experiments, and the rupture occurred under controlled conditions. After rupture, the initial condition was reinstated and reversibility analyzed. Results pointed out the irreversibility of breakage for both Al-kaolin and Al-humic flocs. The stable diameter of aggregates after breakage (d 2) varied from 157 to 132 µm for Al-humic and from 233 to 123µm for Al-kaolin aggregates, using G from 20 to 120 s-1. β 2 values varied from 1.2 to 4.6 for Al-humic and from 0.6 to 7.7 for Al-kaolin.

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“…Van Benschoten & Edzwald apud Constantino (2008) pesquisaram a coagulação de ácido fúlvico como causador da cor, com sulfato de alumínio e cloreto polialumínio como coagulantes, variando pH entre 5 e 7. A partir dos resultados obtidos pelos pesquisadores, pôde-se notar que houve maior eficácia na remoção de carbono orgânico dissolvido -CODquando usados maiores valores de pH com dosagens excessivas de coagulante.…”

Section: Coagulação Floculaçãounclassified

Pós-tratamento de efluente de sistema biológico aeróbio em batelada de lixiviado de aterro sanitário através do processo físico-químico.

Silva¹

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Ao meu pai José Carlos, à minha mãe Rita, minha irmã Camila que foram muito importantes na minha vida. A Valeria pela paciência e por estar sempre ao meu lado. Gostaria de agradecer também aos tios e primos que sempre estiveram ao meu lado, apoiando e incentivando-me em todos os momentos. Ao professor Pedro, por me acolher como orientando e pela dedicação para a realização do trabalho. À professora Dione pelos ensinamentos e contribuições acadêmicas. Ao professor Ronan por toda ajuda e paciência. Aos funcionários e professores do departamento de Hidráulica e Saneamento da Escola Politécnica da USP, por estarem sempre dispostos a ajudar. Aos funcionários do laboratório de Saneamento da Escola Politécnica da USP, Laerte e Fábio pela ajuda, paciência e dedicação. Aos colegas da pós-graduação Luciano, Carolina, Fuji, Monica, Luana,cuja ajuda foi de grande valia para a concretização deste trabalho. A Enerconsult, em especial aos diretores José Carlos Valsecchi e Manuel Pizarro, pelo incentivo, apoio, oportunidade e pela confiança em mim depositada À Ashland, em especial ao Jader, por sua ajuda ao disponibilizar os materiais para realização da pesquisa. A Ricardo Bernades, Moacir e Felipe, pelos conselhos Aos colegas do DER, Lilian, Cincerre, Valter, Camila e Palota. A Clarissa e Caroline por estarem sempre dispostas a ajudar.

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Ruptura e recrescimento de flocos em água com substâncias húmicas aquáticas coagulada com sulfato de alumínio e cloreto férrico

Cited by 3 publications

References 2 publications

Mathematical modeling of water flocculation process with high turbidity: studies and comparative analysis between methods and models

Mathematical modeling of water flocculation process with high turbidity: studies and comparative analysis between methods and models

Reversibility of Al-Kaolin and Al-Humic Aggregates Monitored by Stable Diameter and Size Distribution

Pós-tratamento de efluente de sistema biológico aeróbio em batelada de lixiviado de aterro sanitário através do processo físico-químico.

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