scholarly journals Using sulfuric acid (H2SO4) for pH adjustment in water treatment

2021 ◽  
Vol 11 (3) ◽  
pp. 19-27
Author(s):  
Ali Salim Abd Al-Hussein
Keyword(s):  
Sulfuric Acid ◽  
Water Treatment ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Strong Acid ◽  
Raw Water ◽  
Water Turbidity ◽  
Ph Adjustment ◽  
Oil Company ◽  
Clarified Water

The aim of this paper is to explain the advantages of using sulfuric acid in Qarmat Ali water treatment plant belong to Basrah Oil Company, which produces water for injection into the Rumaila reservoirs. Sulfuric acid is a strong acid providing rapid and effective pH reduction. Maintaining the coagulation pH within the optimum value (6.4) by inject specific value of sulfuric acid to RAW water enhances the clarification performances by reducing the clarified water turbidity to minimum value (5.1). It was preferable for  operating at a pH below the saturation pH to prevent the precipitation of minerals such as calcium carbonate which are contributing to blocking the surface filters installed downstream (auto back wash filters) and The clarifiers that cause increased the feed from 500 MBD  to 1000 MBD. With a fast and rapid dissociation in Water, Sulfuric acid is an effective and practical way to lower the pH on Qarmat Ali plant which producing in excess of 1,000MBD of export water.

Prediction of Clarified Water Turbidity of Moyog Water Treatment Plant Using Artificial Neural Network

2007 ◽  
Vol 7 (15) ◽  
pp. 2006-2010 ◽  
Author(s):  
Duduku Krishnaiah ◽  
Siva Kumar Kumaresan . ◽  
Matthew Isidore . ◽  
Rosalam Sarbatly .
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Water Treatment ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Water Turbidity ◽  
Artificial Neural ◽  
Clarified Water

Study of Adsorbability of the Colloidal Particles from Different Stages of a Conventional Water Treatment Plant

2011 ◽  
Vol 71-78 ◽  
pp. 3037-3042
Author(s):  
Na Wang ◽  
Jun Ma
Keyword(s):  
Water Treatment ◽  
Membrane Filtration ◽  
Colloidal Particles ◽  
Membrane Surface ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Raw Water ◽  
Sem Images ◽  
Filtration Experiment ◽  
Clarified Water

The adsorbability of colloidal particles from different stages of a conventional water treatment plant was studied with the assistance of micro-membrane filtration experiment. The microfiltration (MF) performance and the scanning electron microscope (SEM) images of the foulants on membrane surface were investigated. The results showed that the particles in the ozonated water (OW) had the strongest adsorbability, and stronger than that in the clarified water (CW); and the particles in the sand filtrated water (SFW) had relatively weaker adsorbability than that in the raw water (RW). The particles in the sand filter backwash water (SFBW) were mainly consisted of detached aggregates and had weak attachment with the membrane surface.

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.

scholarly journals Intelligent system for improving dosage control

2017 ◽  
Vol 39 (1) ◽  
pp. 33 ◽  
Author(s):  
Fabio Cosme Rodrigues dos Santos ◽  
André Felipe Henriques Librantz ◽  
Cleber Gustavo Dias ◽  
Sheila Gozzo Rodrigues
Keyword(s):  
Neural Network ◽  
Water Treatment ◽  
Intelligent System ◽  
Treatment Plant ◽  
Drinking Water Treatment ◽  
Water Treatment Plant ◽  
Test Method ◽  
Raw Water ◽  
Water Turbidity ◽  
Coagulant Dosage

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. 

Rehabilitation of water treatment plants with operational constrains: a study on turbidity removal

2013 ◽  
Vol 3 (4) ◽  
pp. 549-556 ◽  
Author(s):  
Kaveh Sookhak Lari ◽  
Morteza Kargar
Keyword(s):  
Water Treatment ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Term Effect ◽  
High Rate ◽  
Water Turbidity ◽  
Turbidity Removal ◽  
Water Treatment Plants ◽  
Long Term Effect

High-rate lamella settlers in clarifiers and triple media filters have been implemented in Isfahan water treatment plant (known as ‘Baba-Sheikh-Ali’) in Iran to upgrade existing clarification/filtration processes during the recent years. The applied technologies are mainly used to reduce finished water turbidity as the primary regional criterion on water quality. However, application of both technologies faced some operational limitations since they began to work. These problems are due to the existing layout of the process units and available materials. The current study focuses on performance of restricted application of the two technologies with respect to turbidity removal. Online measured turbidity data from a two-year field observation (since March 2010) are used. In particular, results show a more promising and long-term effect on turbidity removal due to tripling filter media rather than application of the lamella settlers in clarifiers. The reasons for these observations are discussed.

scholarly journals Optimization of ACH Coagulant, Settling Time and Powdered Activated Carbon as Coagulant Aid with Economic Analysis

2021 ◽  
Keyword(s):  
Activated Carbon ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Settling Time ◽  
Raw Water ◽  
Economic Study ◽  
Optimal Process ◽  
Water Turbidity ◽  
Aluminum Sulphate ◽  
Actived Carbon

<p>Regular water treatment-plant (WTP) comprises of a number of units. Of course, problems exist throughout design and operation of the WTP units. Consequently, the current re-search aimed to minimize the shortcomings of the coagulation, sedimentation, and the adsorption methods through applying optimal process for these units. Additionally, eco-nomic analysis and the derivation mathematical models for the new coagulant (Aluminum Chlorohydrate (ACH)) and the traditional aluminum sulphate coagulant (Alum) were an-other objective of this work. Optimum coagulants for alum and ACH were obtained and presented for different raw water turbidities. The optimum settling time of 30 minutes and 40 minutes have been found for the settling of 1000 and 2000 NTU raw water sam-ples. Best dosages of 0.1 and 0.25 g/L of powdered actived carbon (PAC) were obtained for raw water turbidity of 419, and 1000 NTU which increased the removal efficiency of 28.95%, and 25.71%, respectively. Furthermore, the economic study for alum and ACH revealed that using ACH instead of alum led to reduction of cost by 32%. Commonly, it can be concluded that using ACH instead of alum is better because it is cheaper and more efficient. The predicted equations for the optimum dosages (Y) for alum (mg/L) and ACH (µl/L) dosages (X) were Y= 0.04 X + 14.42, and Y = 0.01 X + 0.72, respectively.</p>

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