scholarly journals Intelligent Modeling Approach to Predict Effluent Quality of Wastewater Treatment Process

2018 ◽  
Author(s):  
Hong-Gui Han ◽  
Xiao-Long Wu ◽  
Lu Zhang ◽  
Jun-Fei Qiao
Keyword(s):  
Wastewater Treatment ◽  
Treatment Process ◽  
Wastewater Treatment Process ◽  
Intelligent Modeling ◽  
Effluent Quality ◽  
Modeling Approach

Design of Reconstruction and Extension Projects of the Wastewater Plant of an Ordnance Repairing Factory

2011 ◽  
Vol 413 ◽  
pp. 144-147
Author(s):  
Jing Miao Li ◽  
Chen Liang
Keyword(s):  
Wastewater Treatment ◽  
Treatment Process ◽  
Primary Treatment ◽  
Operating Conditions ◽  
Wastewater Treatment Process ◽  
Original Process ◽  
Guangzhou City ◽  
Effluent Quality ◽  
Total Treatment

In order to improve the treatment capacity and effluent quality of the wastewater plant of an ordnance repairing factory in Guangzhou City, China. The wastewater treatment process was modified and the construction was extended. The factory mainly repairs military equipments in air force, discharges 1200 m3/d wastewater .The current operating conditions of original wastewater treatment equipments are unstable and the effluent quality is substandard, and that the capacity is inadequate.By upgrading the technology and tapping the potential of original process, enlarge the primary treatment capacity to 500 m3/d and build another treatment process with the treatment capacity of 700 m3/d.The total treatment capacity is adequate and effluent quality meet the demands of criteria A specified in DB44/26-2001 of Guangzhou.

Comparison of F-specific bacteriophage, enterococci, and faecal coliform densities through a wastewater treatment process employing oxidation ponds

1995 ◽  
Vol 31 (5-6) ◽  
pp. 85-89 ◽  
Author(s):  
S. J. Turner ◽  
G. D. Lewis
Keyword(s):  
Wastewater Treatment ◽  
Treatment Process ◽  
Faecal Coliform ◽  
Indicator Organisms ◽  
Faecal Coliforms ◽  
Wastewater Treatment Process ◽  
Oxidation Pond ◽  
Oxidation Ponds ◽  
Specific Bacteriophage

Over a 12 month period F-specific bacteriophages, faecal coliforms and enterococci were compared as microbial indicator organisms for the quality of a wastewater treatment (oxidation pond) system. Results suggest that enterococci may be the most useful indicator for oxidation pond systems.

scholarly journals A Novel Model with GA Evolving FWNN for Effluent Quality and Biogas Production Forecast in a Full-Scale Anaerobic Wastewater Treatment Process

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-13
Author(s):  
Zehua Huang ◽  
Renren Wu ◽  
XiaoHui Yi ◽  
Hongbin Liu ◽  
Jiannan Cai ◽  
...  
Keyword(s):  
Neural Network ◽  
Wastewater Treatment ◽  
Treatment Process ◽  
Biogas Production ◽  
Anaerobic Treatment ◽  
Production Rates ◽  
Wastewater Treatment Process ◽  
Effluent Quality ◽  
Anaerobic Wastewater Treatment ◽  
Novel Model

The anaerobic treatment process is a complicated multivariable system that is nonlinear and time varying. Moreover, biogas production rates are an important indicator for reflecting operational performance of the anaerobic treatment system. In this work, a novel model fuzzy wavelet neural network based on the genetic algorithm (GA-FWNN) that combines the advantages of the genetic algorithm, fuzzy logic, neural network, and wavelet transform was established for prediction of effluent quality and biogas production rates in a full-scale anaerobic wastewater treatment process. Moreover, the dataset was preprocessed via a self-adapted fuzzy c-means clustering before training the network and a hybrid algorithm for acquiring the optimal parameters of the multiscale GA-FWNN for improving the network precision. The analysis results indicate that the FWNN with the optimal algorithm had a high speed of convergence and good quality of prediction, and the FWNN model was more advantageous than the traditional intelligent coupling models (NN, WNN, and FNN) in prediction accuracy and robustness. The determination coefficients R2 of the FWNN models for predicting both the effluent quality and biogas production rates were over 0.95. The proposed model can be used for analyzing both biogas (methane) production rates and effluent quality over the operational time period, which plays an important role in saving energy and eliminating pollutant discharge in the wastewater treatment system.

Biomonitoring and its in the assessment of the quality of wastewater treatment process

2020 ◽  
Vol 13 ◽  
pp. 100292
Author(s):  
Helena Hybská ◽  
Martina Lobotková ◽  
Miroslav Vanek ◽  
Jozef Salva ◽  
Ivana Knapcová ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Treatment Process ◽  
Wastewater Treatment Process

Energy consumption model for wastewater treatment process control

2013 ◽  
Vol 67 (3) ◽  
pp. 667-674 ◽  
Author(s):  
Xiaoqi Huang ◽  
Honggui Han ◽  
Junfei Qiao
Keyword(s):  
Wastewater Treatment ◽  
Energy Consumption ◽  
Treatment Process ◽  
Wastewater Treatment Process ◽  
Elman Neural Network ◽  
Effluent Quality ◽  
Treatment Processes ◽  
Energy Consumption Model ◽  
Consumption Model ◽  
The Relationship

Wastewater treatment must satisfy discharge requirements under specified constraints and have minimal operating costs (OC). The operating results of wastewater treatment processes (WWTPs) have significantly focused on both the energy consumption (EC) and effluent quality (EQ). To reflect the relationship between the EC and EQ of WWTPs directly, an extended Elman neural network-based energy consumption model (EENN-ECM) was studied for WWTP control in this paper. The proposed EENN-ECM was capable of predicting EC values in the treatment process. Moreover, the self-adaptive characteristic of the EENN ensured the modeling accuracy. A performance demonstration was carried out through a comparison of the EC between the benchmark simulation model No.1 (BSM1) and the EENN-ECM. The experimental results demonstrate that this EENN-ECM is more effective to model the EC of WWTPs.

scholarly journals Influence of extraneous waters on the quality and loads of pollutants in wastewater discharged into the treatment plant

2017 ◽  
Vol 33 (1) ◽  
pp. 73-78 ◽  
Author(s):  
Grzegorz B. Kaczor ◽  
Krzysztof Chmielowski ◽  
Piotr Bugajski
Keyword(s):  
Wastewater Treatment ◽  
Treatment Process ◽  
Treatment Plant ◽  
Pollutant Concentration ◽  
Wastewater Treatment Process ◽  
Pollutant Load ◽  
Sewerage System ◽  
Pollutant Concentrations ◽  
Rainy Weather

Abstract The aim of the study was to analyze an influence of an inflow penetrating into two selected small sewerage systems during a rainy weather on pollutant concentration and load in raw sewage. Studies were conducted in 2010–2015 on two small sewerage systems in Małopolska province. The studies confirmed that the inflow penetrating into the sewerage systems resulted in a decrease of pollutant concentrations in sewage. However, they also showed that this dilution was not constant for all types of pollutants. The most important outcome of the study was demonstrating that despite its diluting effect on pollutants, the intense inflow into a sewerage system resulted in an increase of a sewage pollutant load. This increase was not regular, but it was rising dramatically when the inflow share in sewage exceeded 50%. The study indicated that the inflow penetrating into the sewerage system should not be disregarded, as it actually presented a significant threat to the wastewater treatment process and in consequence to the quality of recipient waters.

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