GPS-X Based Modeling on the Process of Gang-byeon Sewage Treatment Plant and Design of Recycle Water Treatment Process

2016 ◽  
Vol 25 (11) ◽  
pp. 1493-1498 ◽  
Author(s):  
Choon Hwan Shin
Keyword(s):  
Water Treatment ◽  
Treatment Process ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Recycle Water ◽  
Water Treatment Process

scholarly journals Research on improving water quality using two experimental statistical methods

2018 ◽  
Vol 178 ◽  
pp. 08014
Author(s):  
Mihail Aurel Ţîţu ◽  
Andrei Victor Sandu ◽  
Costel Ceocea ◽  
Alina Bianca Pop ◽  
Ştefan Ţîţu ◽  
...  
Keyword(s):  
Drinking Water ◽  
Water Treatment ◽  
Treatment Process ◽  
Treatment Plant ◽  
Scientific Paper ◽  
Taguchi’S Method ◽  
Water Treatment Process ◽  
Experiment Method ◽  
Points Of View

This scientific paper addresses the importance of water treatment process until it becomes drinkable, studying the treatment process from different points of view that are considered to be relevant. The choice of this subject was motivated by the water consumption importance for the entire population, the scientific paper proposing to study in what way this water treatment process could be improved, using for analysis two methods of experimental statistical modeling, namely the Taguchi's method and the factorial experiment method. The purpose of this scientific paper was to identify the deficiencies of the water treatment process after it entered the treatment plant and analyze is carried out using the two mentioned methods above, were continued by finding optimization solutions for the process. These solutions are intended to avoid the situations in which the treatment plant may be unable to cover the required volume of drinking water and to ensure the quality of the drinking water supplied to consumers according to the legislation to date. The knowledge benefit of this research consists in the realization of the research intentions formulated and the practical applicability of the results.

MPC of Sewage Treatment Process

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Jiahui Meng ◽  
Qingyuan Zhao ◽  
Yu Zhang ◽  
Guanglei Wen ◽  
Huimin Ge ◽  
...  
Keyword(s):  
Neural Network ◽  
Treatment Process ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Weather Conditions ◽  
Learning Ability ◽  
Control Effect ◽  
Control Goal ◽  
Control Layer

Sewage treatment is one of the main methods to promote the recycling of water resources. The control goal of sewage treatment process is to reduce energy consumption under the premise that the effluent quality reaches the standard. In recent years, model predictive control (MPC) has attracted some attention in sewage treatment. Neural network is widely used in control field because of its strong online learning ability. BP neural network is selected as the prediction layer and control layer of MPC and applied to sewage treatment plant to realize on-line control of dissolved oxygen and nitrate. The training index of traditional neural network usually only selects the error between measured value and set value as the variable, and now the change of control quantity is also taken as the training index variable of control layer to adjust the weight relation between them to get the best control effect. Considering that different weather conditions will have a greater impact on the water inflow, different coefficients of the two can be selected to achieve better results in different weather.

scholarly journals Examine Design Considerations for Sustainable Management of an Overloaded Sewage Treatment Plant in a Residential Campus

2019 ◽  
Vol 8 (4S2) ◽  
pp. 104-107
Keyword(s):  
Water Treatment ◽  
Sustainable Management ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Recycled Water ◽  
Cost Of Construction ◽  
Great Step ◽  
Centralized System

The era is now facing water scarcity and the available water is being depleted at a faster rate to meet the needs of the growing population. At this juncture, it is essential to use the reduce-reuse-recycle strategy. Reducing excessive usage of water for essential needs and reusing the recycled water for non-consumptive purposes can be a great step in the conservation of water. The waste water from various sources can be collected and treated using an STP. In most of the cases, water treatment requires a centralized system of control and operation. The STP should be designed by considering the inflow characteristics, objective of the water treatment and availability of resources. There are various operational and managerial constraints while designing an STP. In case of overloaded condition of available STP, either some modification has to be done to prevent the decrease in efficiency of the obtained output or a new plant has to be constructed. In this case study, we have analyzed three different approaches to solve the issue of an overloaded STP. The results based on various criteria including cost of construction and maintenance have been discussed.

scholarly journals Effect of water treatment process on organochlorine pesticide residue levels in Ahvaz water treatment plant 2

2017 ◽  
Vol 7 (4) ◽  
pp. 349-352
Author(s):  
Saeed Samani Majd ◽  
Mohammad Hassan Rabie Rad ◽  
Zahra Nazari ◽  
Abdolazim Behfar ◽  
Gholamreza Reissi ◽  
...  
Keyword(s):  
Water Treatment ◽  
Organochlorine Pesticides ◽  
Treatment Process ◽  
Total Concentration ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Organochlorine Pesticide Residue ◽  
Solvent Mixtures ◽  
Water Treatment Process ◽  
Rotary Vacuum

One of the main hazards of human life and health is the presence of pesticides in the aquatic system is. The Karun River is the surface water source in the preparation of drinking water for the city of Ahvaz city at the Ahvaz Water Treatment Plant (AWTP) #2. This study was done in order to investigate the statue of qualification and the quantification of the contamination of water entering into (AWTP #2) by selected organochlorine pesticides [(α, β, γ, δ )HCH, heptachlor, alderin, dielderin, (op’ , pp’ ) DDT, (α, β) endosulfan and metoxychlor], plus the water treatment effects on these pesticide residues removal. For this purpose, one composite sample from each of the water treatment process steps was taken monthly which was comprised of 20 grab samples in 2008. Water samples were acidified to pH < 2, extracted three times with n-hexane, and concentrated using a rotary vacuum evaporator for Florisil column chromatography cleanup and fractioned by elution with three different solvent mixtures of petroleum and diethyl ether. Finally, the elutes were concentrated to dryness using rotary vacuum evaporator and then the residues were dissolved in hexane and analyzed by GC- μECD. All 12 investigated organochlorine pesticides were detected. Results of this study indicated that concentration of investigated pesticides decreased (according to the kind of pesticide) by 20% to 80% and the mean of total concentration was reduced by 49% during water treatment process steps. There was a significant positive correlation (r=97.75%) between variation in the concentration of poisons and the total organic matter (KMnO4 value).

scholarly journals Occurrence and Sources of Synthetic Musk Fragrances in the Sewage Treatment Plants and the Han River in Seoul, Korea

2020 ◽  
Author(s):  
Ju-Hee Hong ◽  
Jun-Yeon Lee ◽  
Hyun-Ju Ha ◽  
Jin-Hyo Lee ◽  
Seok-Ryul Oh ◽  
...  
Keyword(s):  
Biological Treatment ◽  
Treatment Process ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Synthetic Musk ◽  
Han River ◽  
Treatment Processes ◽  
Musk Fragrances ◽  
Receiving Water

Levels of synthetic musk fragrances (SMFs) and various personal care products (PCPs) were measured in the Han River and its tributaries in Seoul, Korea. The most abundant SMF in all river and PCP samples was 4,6,6,7,8,8-hexamethyl-1,3,4,7-tetrahydrocyclopenta[g]isochromene (HHCB), followed by 1-(3,5,5,6,8,8-hexamethyl-6,7-dihydronaphthalen-2-yl)ethanone (AHTN), musk ketone (MK), and 1,1,2,3,3-pentamethyl-2,5,6,7-tetrahydroinden-4-one (DPMI). There was a significant correlation between the SMF concentration in the PCPs and the Han River samples. Moving from upstream to downstream in the Han River, the median SMF concentration was 6.756, 2.945, 0.304, and 0.141 μg/L in the sewage treatment plant (STP) influent, effluent, tributaries, and mainstream, respectively, implying that effective SMF removal was achieved during the sewage treatment process, followed by dilution in the receiving water. Four STPs using advanced biological treatment processes had removal efficiencies of 55.8%, 50.6%, 43.3% for HHCB, AHTN, and MK, respectively. The highest SMF concentrations in the tributaries were observed at locations close to the STPs. Our study confirmed that the main source of SMFs in the receiving water were sewage effluent containing untreated SMFs, which are largely originated from household PCPs, especially hair care products (e.g., shampoo) and perfumes.

Operational Experiences with the Industrial and Communal Waste Water Treatment System in the District of Linz

1990 ◽  
Vol 22 (5) ◽  
pp. 87-92 ◽  
Author(s):  
Gerd E. Reichel
Keyword(s):  
Waste Water ◽  
Water Treatment ◽  
Hydroelectric Plant ◽  
Waste Water Treatment ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Treatment System ◽  
Digested Sludge ◽  
Water Treatment System

The waste water treatment system of the central region Linz is described. Because of the construction of the hydroelectric plant in Abwinden-Asten a central sewage treatment plant for 22 communities and the waste waters of the chemical and steel industry was constructed. Purification efficiency in terms of BOD5 is 93 % and 83 % for COD. The anaerobic digested sludge is deposited in lagoons.

Yeasts occurring in the effluent disposal basins of a pulp mill in Saskatchewan

1974 ◽  
Vol 20 (7) ◽  
pp. 993-998 ◽  
Author(s):  
J. F. T. Spencer ◽  
P. A. J. Gorin ◽  
N. R. Gardner
Keyword(s):  
Candida Species ◽  
Treatment Process ◽  
Yeast Species ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Pulp Mill ◽  
Late Summer ◽  
Bacterial Counts ◽  
Rhodotorula Species

The numbers of yeasts in the effluent disposal system of the Prince Albert, Saskatchewan Pulp Mill occasionally reached 1 × 106 cells/liter, but were usually below 5 × 105 cells/liter. Rhodotorula species were commonly isolated and sometimes amounted to half of the population, though usually the relative numbers were considerably lower. The highest counts were found in late summer and early autumn. Bacterial counts varied from 20 × 106 to 74 × 106 cells/ml. Chemical O2 demand (COD) reached about 1200 mg/liter at times, and decreased as the effluent moved through the disposal system, about 40% of the total COD being removed during the treatment process. A considerably wider range of yeast species was found in the pulp mill disposal basins than in the Saskatoon sewage treatment plant. Most of the ascosporogenous yeasts found were Hansenula or Pichia species usually occurring in association with trees, as were many of the Candida species isolated.

scholarly journals An emergent accession for the optimal systematize of waste water utilization plants using artificial intelligence

2021 ◽  
Author(s):  
Mohd Abul Hasan
Keyword(s):  
Waste Water ◽  
Artificial Intelligence ◽  
Water Treatment ◽  
Wastewater Treatment Plants ◽  
Waste Water Treatment ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Waste Water Treatment Plant

Abstract The treatment of wastewater is an essential factor in preventing pollutants and promoting the quality of the water. The inherent complexity, influential impact and the solid waste infrastructure lead to confusion and variance in the primary clarifier for wastewater. These inconsistencies lead to variations in the purity and capacity constraints of wastewater and the existential impact of water receipt. The water treatment is a complicated task that has means of chemical, technical & biochemical influences. A credible ANN method is necessary for another waste water treatment plant to prevent the breakdown of the processes. Virtual reality seems to have become a strong solution for preventing waste management uncertainties and problems. This is not only due to high deformations but also to significant external disturbances that water systems are controlling challenges. Climate is among the most significant of such disturbances. Various environmental conditions actually include different influx frequencies and levels of substances. Water contamination has become one of the extremely serious growing conservation; sewage treatment plant identification is a key major issue here and the agencies enforce tighter requirements for the operating of wastewater software systems. This article plans to create models of achievement and prospects for the possible future guidance of recent research borders for the use of artificial intelligence in wastewater treatment plants which concurrently deal with pollutants. This study has shown us that the composite ANN provides a greater level of competence in plant prediction and systemization. Highlight Systematize of Wastewater Utilization Plants, Artificial Neural Networks, artificial intelligence, Prediction Analysis, Reliability.

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