Identification of Seasonal Variations in Volatile Sulfur Compound Formation and Release from the Secondary Treatment System at a Large Wastewater Treatment Plant

2008 ◽  
Vol 80 (12) ◽  
pp. 2261-2267 ◽  
Author(s):  
Kweku Sekyiamah ◽  
Hyunook Kim ◽  
Laura L. McConnell ◽  
Alba Torrents ◽  
Mark Ramirez
Keyword(s):  
Wastewater Treatment ◽  
Seasonal Variations ◽  
Wastewater Treatment Plant ◽  
Sulfur Compound ◽  
Treatment Plant ◽  
Treatment System ◽  
Secondary Treatment ◽  
Compound Formation ◽  
Volatile Sulfur Compound ◽  
Volatile Sulfur

Research on Variable Metric Chaos Optimization Modeling for the Prediction of Wastewater Treatment Plants Performance

2012 ◽  
Vol 428 ◽  
pp. 169-175
Author(s):  
Guo Kai Fu ◽  
Yi Yue Hu ◽  
Zhi Zhang
Keyword(s):  
Neural Network ◽  
Wastewater Treatment ◽  
Wastewater Treatment Plant ◽  
Wastewater Treatment Plants ◽  
Treatment Plant ◽  
Treatment System ◽  
Variable Metric ◽  
Chaos Optimization ◽  
Actual Operation ◽  
The Stability

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.

Yannawa wastewater treatment plant (Bangkok, Thailand): design, construction and operation

2004 ◽  
Vol 50 (10) ◽  
pp. 221-228 ◽  
Author(s):  
S. Kirkwood
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plant ◽  
Batch Reactor ◽  
Phase 1 ◽  
Treatment Plant ◽  
Performance Testing ◽  
Plant Performance ◽  
Secondary Treatment ◽  
Process Selection ◽  
Ground Conditions

Yannawa Wastewater Treatment plant (Phase 1) serves a population equivalent of 500,000 and is located on a restricted site within the city of Bangkok, Thailand. Secondary treatment is based on the CASS sequencing batch reactor (SBR) process and the plant is one of the largest multi-storey SBRs in the world. The limitation of available site area, the ground conditions and the characteristics of the wastewater to be treated set a series of challenges for the designers, contractors and commissioning and operational staff. This paper briefly describes the collection system, the process selection and the treatment streams of the wastewater treatment plant. The SBR secondary treatment plant is described in more detail. The problems that arose during commissioning and operation and the solutions made possible by the use of an SBR type of process are discussed. Details of plant performance during performance testing and during the first three years of plant operation are provided.

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