scholarly journals Fouling prediction method using TOC and EEM analysis

2018 ◽  
Vol 19 (2) ◽  
pp. 610-617 ◽  
Author(s):  
Susumu Hasegawa ◽  
Taro Miyoshi ◽  
Ryosuke Takagi ◽  
Hideto Matsuyama
Keyword(s):  
Organic Carbon ◽  
Membrane Fouling ◽  
Treatment Process ◽  
Continuous Measurement ◽  
Prediction Method ◽  
Drinking Water Treatment ◽  
Raw Water ◽  
Water Treatment Process ◽  
Carbon Detection ◽  
And Control

Abstract Many studies on membrane fouling have been made and reported, and it has been revealed, based on liquid chromatography organic carbon detection (LC-OCD), that biopolymer is the main foulant in the drinking water treatment process, in which the raw water is taken from a river or a dam. However, measurement by LC-OCD is time-consuming and costly. Therefore, continuous measurement of biopolymer concentration by LC-OCD is not feasible. For this reason, we have not been able to monitor biopolymer continuously and control membrane fouling. The purpose of this study is to find a new fouling index (FR) to control membrane fouling without measuring the biopolymer concentration. Then, we tried to find a correlation between biopolymer and other water components by a multiple regression analysis. As the result, we have suggested the new fouling index (FR) which consists of the sum of the fluorescence intensity within the Region III domain measured by excitation emission matrix (EEM) fluorescence spectroscopy and the concentration of dissolved organic carbon measured by the total organic carbon (TOC) measurement. TOC and EEM are measured easily and continuously. Thus, we can control membrane fouling by monitoring the FR continuously.

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.

scholarly journals Assessment of waterborne protozoan passage through conventional drinking water treatment process in Venezuela

2012 ◽  
Vol 10 (2) ◽  
pp. 324-336 ◽  
Author(s):  
Walter Q. Betancourt ◽  
Kristina D. Mena
Keyword(s):  
Drinking Water ◽  
Water Treatment ◽  
Water Samples ◽  
Environmental Protection Agency ◽  
Treatment Process ◽  
Drinking Water Treatment ◽  
Source Water ◽  
Raw Water ◽  
Water Treatment Process ◽  
Monitoring Strategies

Three drinking water treatment plants (DWTPs) differing in source water and treatment capacity were investigated for the potential passage of waterborne protozoan (oo)cysts through conventional processing. DWTP I (15,000 L/s), DWTP II (7,500 L/s) and DWTP III (4,300 L/s) provide drinking water for approximately 2.7 million inhabitants of the Metropolitan District of Caracas (Venezuela). The US Environmental Protection Agency Method 1623 for detection of Cryptosporidium and Giardia was used to analyze raw water and finished drinking water samples collected from the three plants. (Oo)cyst recovery efficiencies varied between 23 and 84%. The concentration of confirmed (oo)cysts detected in raw water samples ranged between 1 and 100 per 100 L. (Oo)cyst levels in finished water samples ranged from 2 to 25 per 100 L. These data indicated that the conventional treatment process to produce finished water at two filtration plants was not effective in preventing the passage of protozoan (oo)cysts. Monitoring strategies that include multiple microbial indicators and waterborne pathogens are strongly recommended for accurate source water characterization and for verification of the effectiveness of treatment process barriers to microbial breakthrough in the finished water.

Particle separation as a pretreatment of an advanced drinking water treatment process by ozonation and biological activated carbon

1998 ◽  
Vol 37 (10) ◽  
pp. 117-124 ◽  
Author(s):  
Wataru Nishijima ◽  
Mitsumasa Okada
Keyword(s):  
Activated Carbon ◽  
Organic Carbon ◽  
Membrane Fouling ◽  
Membrane Separation ◽  
Particle Separation ◽  
Drinking Water Treatment ◽  
Membrane System ◽  
Eutrophic Lake ◽  
Biological Activated Carbon ◽  
Water Treatment Process

The role of particle separation on the performance of ozone-biological activated carbon (BAC) was evaluated based on the analyses of the fate of organic substances in the process. Pilot plant studies were carried out using eutrophic lake water as raw water. The ozonation not only converted refractory organic matter into biodegradable matter but also particulate organic carbon (POC) into dissolved organic carbon (DOC). Total decrease in adsorbable and non biodegradable DOC fraction (ADOC) after ozonation was only 16% of the influent into the biofiltration process followed by ozonation. However, the ozone-BAC process before membrane separation could reduce organic loading to membrane system. The smaller loading to microfiltration will result in long intervals of back washing and less frequent membrane fouling. Membrane separation before ozonation removed not only POC but also a part of DOC and could prevent dissolution of POC during ozonation. The decreases in ADOC by membrane and ozonation were 20% and 37% of the influent ADOC, respectively. The total decrease in ADOC for membrane process followed by ozonation was 57%. The separation of particulate matter will decrease loading of ADOC onto BAC significantly and, therefore, will extend service life of BAC.

scholarly journals Performance of rapid sand filter – single media to remove microplastics

2021 ◽  
Author(s):  
Emenda Sembiring ◽  
Mutiara Fajar ◽  
Marisa Handajani
Keyword(s):  
Drinking Water ◽  
Water Treatment ◽  
Removal Efficiency ◽  
Alternative Treatment ◽  
Treatment Process ◽  
Drinking Water Treatment ◽  
Raw Water ◽  
Sand Filter ◽  
Water Treatment Process ◽  
Water Treatments

Abstract Microplastics (MPs) have been detected in drinking water and raw water sources. Therefore, it is important to know the performance of drinking water treatment process. Rapid sand filter (RSF)is one of the water treatments that can be an alternative treatment in removing MPs after several configuration processes (pre-sedimentation, coagulation-flocculation, and sedimentation). This study aims to determine the effectiveness of RSF to remove MPs. The artificial samples were made from plastics bags and tyre flakes which size were from 10 μm to more than 500 μm. Bentonite is added to represent a turbidity in the water. The average removal efficiency of plastics flakes before entering the filter was 50.48% (using bentonite) and 47.78% (without bentonite). Overall, the removal efficiency for the tyre flakes was 90.72% (using bentonite) and 93.03% (without bentonite). The filtration used in this study was varied between 4 and 10 m/h. Removal efficiency using RSF for plastic flakes on which Effective Size (ES) filter media 0.39 mm was 97.7% and on which ES 0.68 mm was 94.3%. Meanwhile, the removal efficiency of the tyre flakes for ES 0.39 mm were 90.6% and ES 0.68 mm was 85.2%. However, in this study, RSF mostly removed MPs particles greater than 200- μm in size.

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.

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