scholarly journals Process waste treatment system upgrades: Clarifier startup at the nonradiological wastewater treatment plant

1998 ◽  
Author(s):  
A.J. Lucero ◽  
D.R. McTaggart ◽  
D.C. Van Essen ◽  
T.E. Kent ◽  
G.D. West ◽  
...  
2012 ◽  
Vol 428 ◽  
pp. 169-175
Author(s):  
Guo Kai Fu ◽  
Yi Yue Hu ◽  
Zhi Zhang

A reliable model for any wastewater treatment plant is essential in order to provide a tool for predicting its performance and to form a basis for controlling the operation of the process. This would minimize the operation costs and assess the stability of environmental balance. For the multi-variable, uncertainty, non-linear characteristics of the wastewater treatment system, a variable metric chaos optimization neural network (VMCNW) prediction model is established standing on the actual operation data in the wasterwater treatment system. The model overcomes several disadvantages of the conventional BP neural network. Namely:slow convergence, low accuracy and difficulty in finding the global optimum.The results of model calculation show that the predicted value can better match measured value,played a effect of simulating and predicting and be able to optimize the operation status. The establishment of the predicting model provide a simple and practical way for the operation and management in wastewater treatment plant,and have good research and engineering practical value.


Author(s):  
R. Babko ◽  
V. Pliashechnyk ◽  
T. Kuzmina ◽  
Y. Danko ◽  
J. Szulżyk-Cieplak ◽  
...  

Abstract The work is devoted to the task of simplifying the assessment of the effect of effluents from treatment facilities on the river hydrobiocenosis. The studies were carried out on the mountain river Uzh (Uzhgorod, Ukraine). Our approach to assessing the impact of waste treatment facilities on the river receiver is based on the estimate of the similarity of species composition and quantitative characteristics of populations of organisms from the aerotank and from the river. It is shown that the quantitative development of populations of species of ciliates from the aeration tank is a good indicator for assessing the degradation of organic matter coming with wastewater. The use of qualitative and quantitative characteristics of the protozoa from the wastewater treatment plant as a criterion for assessing the quality of the environment in the area of wastewater discharge showed their representativeness and effectiveness. The use of a limited number of species makes it possible to conduct an express assessment of the effect of effluents on receiving reservoirs for specialists working with activated sludge in the laboratories of treatment facilities.


Water SA ◽  
2018 ◽  
Vol 44 (4 October) ◽  
Author(s):  
Justine De Ketele ◽  
Dries Davister ◽  
David S Ikumi

Achievement of good effluent quality is always the main goal for wastewater treatment plant (WWTP) systems. However, these WWTPs have developed further objectives that include efficient design and strategic control options, with the prospect of their conversion into waste resource recovery facilities (WRRFs) that operate on reduced energy costs. With all these aspects becoming an intrinsic part of waste treatment, mathematical models that simulate WWTP unit processes are becoming of increasing relevance for the achievement of WRRF goals (including good effluent quality, low energy costs and nutrient recovery). It is expected that these mathematical models will benefit potential future applications of automation process control, which have also been developing rapidly with the availability of more reliable and affordable sensors. However, simulated automation control strategies require a thorough evaluation protocol to ensure their viability prior to being adopted as efficient operation control measures. This study considers the comparison of different control strategies implemented on a standard WWTP layout, for plant optimization. The initial task was to define performance indices, effluent quality index (EQI) and operation cost index (OCI), based on a previous investigation by the International Water Association (IWA) benchmark simulation modelling (BSM) task group. These performance indices were then used to evaluate the following strategies: (i) adding a fermentation tank, (ii) dosing flocculant and (iii) implementing a balancing tank. A control strategy was only assumed to be effective with improvement or maintenance of effluent quality. Overall, the evaluation exercise proved to be useful for providing expert advice on efficiency of proposed waste treatment system layouts, towards determination of the best configuration of future WRRFs. For instance, it was notable that significant organic strength is needed for removal of nutrients recycled back from the anaerobic digestion (AD) system into the activated sludge (AS) – hence alternate methods to put the nutrient-rich outflow from the AD system to good use are required.


2013 ◽  
Vol 838-841 ◽  
pp. 2532-2538
Author(s):  
Fu Quan Jia ◽  
Zhang Wei He ◽  
Zhu Jun Tian ◽  
Zhao Bo Chen ◽  
Hong Cheng Wang ◽  
...  

Mathematical statistical method (MSM) is a very important wastewater treatment plant data processing analysis tool. In this study, MSM had been used to evaluate the efficiency, stability and reliability of the low-strengthen complex wastewater treatment system. Results showed that while LSCWWTs upgrading in the future, each influent parameter could be set as the follows: COD = 738 mg/L, BOD = 300 mg/L, SS = 454 mg/L, TN = 64.3 mg/L, NH3-N = 65.2 mg/L and TP = 7.65 mg/L. For effluent of LSCWWTs, the stabilities of COD, BOD, SS and TN were all A, TP was B, and NH3-N was D. For effluent COD, TN and NH3-N reached the first class discharge standard of A, the reliability probabilities were 83.89%, 80.23% and 99.43%, respectively. And the reliability probabilities of effluent WQPs reached the first class discharge standard of B were all more than 98%.


2019 ◽  
Vol 3 (1) ◽  
pp. 123
Author(s):  
Putri Desi Wulansari

AbstractIndustrial waste comes from the end of product process as a solid or liquid waste. Avoiding the negative effects of industrial waste, each industry must complete their company with wastewater treatment plant. This Field Job Practice was done at Kelola Mina Laut, Inc., located in Randu Agung Village, Kebomas District, Gresik th thResidence, East Java Province on August 4 – September 13 as a mean to observe, learn and to know Kelola Mina Laut, Inc. wastewater treatment method. Work method which used in Field Job Practice was descriptive method with data collection technique, active participation, interview and literature study. The wastewater treatment plant of Kelola Mina Laut, Inc. consists of one collector batch unit, two aeration batch units, one sedimentation batch unit, and one contol batch unit. Before loosing the effluent to the water stream, wastewater passes through the control batch to know about the wastewater quality. After passing through the treatments, wastewater that loosing upon the environment will have a good quality and appropriate with Environment Quality Standard. 


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