scholarly journals On the importance of mixing characterization and application in the water treatment process

2020 ◽  
Vol 69 (6) ◽  
pp. 639-646
Author(s):  
Petra Vašatová ◽  
Monika Filipenská ◽  
Radim Petříček ◽  
Martin Pivokonský
Keyword(s):  
Water Treatment ◽  
Separation Efficiency ◽  
Drinking Water Treatment ◽  
Operating Costs ◽  
Mixing Conditions ◽  
Water Treatment Process ◽  
Mixing Parameters ◽  
Stage Separation ◽  
Floc Properties

Abstract Floc properties can be controlled only by selecting a coagulant type and adjusting mixing parameters. However, optimization of mixing is widely overlooked. Well-chosen mixing conditions increase floc separation efficiency, which decreases the operating costs of drinking water treatment plants (DWTPs). This paper presents guidelines for designing mixing parameters in water treatment. Special attention is paid to the determination of mixing intensity and the purpose of different mixing intensities with respect to the subsequent separation. For instance, single-stage separation by filtration must be preceded by homogenization and rapid flocculation mixing. Double-stage separation by sedimentation and filtration should be preceded by homogenization, rapid flocculation mixing and slow flocculation mixing.

Removal of pesticides during the drinking water treatment process at Florence water supply, Italy

1999 ◽  
Vol 48 (5) ◽  
pp. 177-185 ◽  
Author(s):  
O. Griffini ◽  
M. L. Bao ◽  
D. Burrini ◽  
D. Santianni ◽  
C. Barbieri ◽  
...  
Keyword(s):  
Drinking Water ◽  
Water Treatment ◽  
Water Supply ◽  
Treatment Process ◽  
Drinking Water Treatment ◽  
Water Treatment Process

Characterization of NOM in a drinking water treatment process train with no disinfectant residual

2009 ◽  
Vol 9 (4) ◽  
pp. 379-386 ◽  
Author(s):  
S. A. Baghoth ◽  
M. Dignum ◽  
A. Grefte ◽  
J. Kroesbergen ◽  
G. L. Amy
Keyword(s):  
Drinking Water ◽  
Water Treatment ◽  
Organic Carbon ◽  
Distribution System ◽  
Chemical Properties ◽  
Drinking Water Treatment ◽  
Building Blocks ◽  
Fluorescence Excitation ◽  
Water Treatment Process ◽  
Water Treatment Plants

For drinking water treatment plants that do not use disinfectant residual in the distribution system, it is important to limit availability of easily biodegradable natural organic matter (NOM) fractions which could enhance bacterial regrowth in the distribution system. This can be achieved by optimising the removal of those fractions of interest during treatment; however, this requires a better understanding of the physical and chemical properties of these NOM components. Fluorescence excitation-emission matrix (EEM) and liquid chromatography with online organic carbon detection (LC-OCD) were used to characterize NOM in water samples from one of the two water treatment plants serving Amsterdam, The Netherlands. No disinfectant residual is applied in the distribution system. Fluorescence EEM and LC-OCD were used to track NOM fractions. Whereas fluorescence EEM shows the reduction of humic-like as well as protein-like fluorescence signatures, LC-OCD was able to quantify the changes in dissolved organic carbon (DOC) concentrations of five NOM fractions: humic substances, building blocks (hydrolysates of humics), biopolymers, low molecular weight acids and neutrals.

scholarly journals OPTIMIZATION OF THE DRINKING WATER TREATMENT PROCESS OF A SUGAR PLANT STATION IN COTE DIVOIRE

2021 ◽  
Vol 9 (01) ◽  
pp. 512-524
Author(s):  
Konan Lopez Kouame ◽  
◽  
Nogbou Emmanuel Assidjo ◽  
Andre Kone Ariban ◽  
◽  
...  
Keyword(s):  
Drinking Water ◽  
Water Treatment ◽  
Treatment Process ◽  
Polynomial Regression ◽  
Drinking Water Treatment ◽  
Optimal Dose ◽  
Raw Water ◽  
Water Treatment Process ◽  
Jar Test ◽  
Coagulation And Flocculation

This article presents an optimization of the drinking water treatment process at the SUCRIVOIRE treatment station. The objective is to optimize the coagulation and flocculation process (fundamental process of the treatment of said plant)by determining the optimal dosages of the products injected and then proposes a program for calculating the optimal dose of coagulant in order to automatically determine the optimal dose of the latter according to the raw water quality. This contribution has the advantage of saving the user from any calculations the latter simply enters the characteristics of the raw effluent using the physical interface of the program in order to obtain the optimum corresponding coagulant concentration. For the determination of the optimal coagulant doses, we performed Jar-Test flocculation tests in the laboratory over a period of three months. The results made it possible to set up a polynomial regression model of the optimal dose of alumina sulfate as a function of the raw water parameters. A program for calculating the optimal dose of coagulant was carried out on Visual Basic. The optimal doses of coagulant obtained vary from 25, 35, 40 and 45 mg/l depending on the characteristics of the raw effluent. The model obtained is: . Finally, verification tests were carried out using this model on the process. The results obtained meet the WHO drinkability standards for all parameters for a settling time of two hours.

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