Effect of cascade biological pretreatment of raw water with algae on conventional water treatment process

2011 ◽  
Author(s):  
Guangcan Zhu ◽  
Chaowen Fan ◽  
Yue Zhou ◽  
Xiwu Lu
Keyword(s):  
Water Treatment ◽  
Treatment Process ◽  
Raw Water ◽  
Biological Pretreatment ◽  
Water Treatment Process

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.

Modeling and Optimization of Poly Electrolyte Dosage in Water Treatment Process by GMDH Type- NN and MOGA

2013 ◽  
Vol 3 (2) ◽  
pp. 94-106 ◽  
Author(s):  
M. Akbarizadeh ◽  
A. Daghbandan ◽  
M. Yaghoobi
Keyword(s):  
Genetic Algorithms ◽  
Water Treatment ◽  
Treatment Process ◽  
Data Sets ◽  
Raw Water ◽  
Multi Objective ◽  
Water Treatment Process ◽  
Coagulant Dosage ◽  
Predicted Values ◽  
Experimental Values

Coagulation-flocculation is the most important parts of water treatment process. Traditionally, optimum pre coagulant dosage is determined by used jar tests in laboratory. However; jar tests are time-consuming, expensive, and less adaptive to changes in raw water quality in real time. Soft computing can be used to overcome these limitations. In this paper, multi-objective evolutionary Pareto optimal design of GMDH Type-Neural Network has been used for modeling and predicting of optimum poly electrolyte dosage in Rasht WTP, Guilan, Iran, using Input - output data sets. In this way, multi-objective uniform-diversity genetic algorithms (MUGA) are then used for Pareto optimization of GMDH networks. In order to achieve this modeling, the experimental data were divided into train and test sections. The predicted values were compared with those of experimental values in order to estimate the performance of the GMDH network. Also, Multi Objective Genetic Algorithms (MOGA) are then used for optimization of influence parameters in pre coagulant (Poly electrolyte) dosage.

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.

The Application and Research Status of Particle Counter in Domestic and Abroad

2011 ◽  
Vol 71-78 ◽  
pp. 3242-3245
Author(s):  
Zhi Ling Zhao ◽  
Chun Yi Duan ◽  
Ying Lin
Keyword(s):  
Water Treatment ◽  
Treatment Process ◽  
Technical Support ◽  
Raw Water ◽  
Particle Counter ◽  
Particle Count ◽  
Research Status ◽  
Water Treatment Process ◽  
Detection Technology ◽  
Water Pipelines

As a new detection technology，particle counter provides an indispensable data for optimizing and controlling water treatment process. Particle counter has been applied to water supplying in both domestic and overseas. There have been a lot of suggestions and applied researches now. Currently, particle count has been used for monitoring raw water, optimizing dosing quantity of flocculent, monitoring the effect of coagulation-sedimentation, surveying and evaluating the efficiency of filtering filter, monitoring water pipelines, and deep treatment, putting forward scientific and technical support for water treatment.

scholarly journals Energy and Chemicals Consumption Evaluation in Water Treatment Plant. A comparative study between Bacau and Turin

2019 ◽  
Vol 70 (3) ◽  
pp. 881-886
Author(s):  
Florina Fabian ◽  
Valentin Nedeff ◽  
Narcis Birsan ◽  
Emilian Mosnegutu
Keyword(s):  
Water Treatment ◽  
Total Energy ◽  
Energy Demand ◽  
Treatment Process ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Winter Period ◽  
Raw Water ◽  
Water Turbidity ◽  
Water Treatment Process

The total energy demand of water treatment plant Bacau (WTP Bacau) was evaluated at 239.94 MW h/y, in case of SMAT (Turin-Iataly) total energy demand of the plant was evaluated at 2.235,454.9 MW h/y, and 6,9 % is for WT. Chemicals consumption, is relative and depends on raw water turbidity at WTP Bacau, during the winter period raw water is very clean and requires only a simple chlorination, on the other hand at SMAT chemicals consumption, is 5.325 t/y and 8.8% is used for water treatment process.

Monitoring of iodine species during water purification at a public water treatment plant in Japan

2018 ◽  
Vol 19 (2) ◽  
pp. 580-587
Author(s):  
Sho Nishida ◽  
Maki Asami ◽  
Naoya Ohata ◽  
Jun Horigome ◽  
Naoki Furuta
Keyword(s):  
Water Treatment ◽  
Humic Substances ◽  
Treatment Process ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Size Exclusion ◽  
Ozone Treatment ◽  
Raw Water ◽  
Iodine Species ◽  
Water Treatment Process

Abstract Iodine is an essential element for humans; however, it can be toxic depending on its chemical form. A variety of toxic and non-toxic iodine species have been identified in environmental water and in the drinking water produced by public water treatment plants. Here, we examined the change of iodine species during the water treatment process at a public water treatment plant in Japan. Samples of raw water and of treated water immediately after each of eight treatment stages comprising the treatment process were collected, and a speciation analysis was conducted by means of ion chromatography– and size-exclusion chromatography–inductively coupled plasma mass spectrometry. In the raw water, iodine was found mainly as iodide or iodinated humic substances that were ultimately oxidized and transformed into iodate, a form non-toxic to humans, by two independent oxidation stages in the water treatment process – ozone treatment and chlorine treatment. No disinfection byproducts were detected at any stage of the treatment process. Fluorescence spectrometry with multivariate analysis revealed that humic substances were markedly decreased by ozone treatment, but not by chlorine treatment. The present results show that, at the plant-scale, ozone treatment is an effective means of removing toxic iodine species from raw water.

The Effectiveness of Alum from some Nigerian Kaolinites in Water Treatment

2019 ◽  
Vol 43 ◽  
pp. 33-37 ◽  
Author(s):  
Lawrence Chukwuka Edomwonyi-Otu
Keyword(s):  
Water Treatment ◽  
Treatment Process ◽  
Water Solution ◽  
Oxygen Demand ◽  
External Heat ◽  
Production Plant ◽  
Raw Water ◽  
External Heat Source ◽  
Water Treatment Process ◽  
Energy Saving Process

Alum is a useful product in both leather tanning and water treatment purposes where it serves as a coagulant and disinfectant. High quality alum has recently been produced from some Nigerian kaolinite (Bauchi and Kankara) via the energy-saving process. This process utilizes the heat generated when sulfuric acid is mixed with water to dealuminate the metakaolin, instead of the usual application of external heat source. This study focuses on testing their effectiveness in actual water treatment process in comparison with a commercial alum. Several parameters of the raw water and 50 to 300 ppm of alum-raw water solution were measured to determine the effects of the alum addition. The influence of both alums was found to be strikingly similar. While the total dissolved solids (TDS) and conductivity increased with alum concentration, the biological oxygen demand (BOD), chemical oxygen demand (COD), and alkalinity of the water showed reduction. The coagulating effectiveness of both alums was demonstrated by over 95% reduction in the turbidity of the raw water sample. The results also revealed that the alum from Nigerian kaolinites showed remarkable and desirable water treatment qualities and compares well with the commercial alum for all the tested parameters. The development of alum production plant using Nigerian kaolinite is therefore recommended as it can serve as alternative to the present commercial alum that is majorly imported.

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