An adaptive task-oriented RBF network for key water quality parameters prediction in wastewater treatment process

Author(s):  
Xi Meng ◽  
Yin Zhang ◽  
Junfei Qiao
2020 ◽  
Vol 12 (11) ◽  
pp. 4679 ◽  
Author(s):  
Kulyash Meiramkulova ◽  
Antonis A. Zorpas ◽  
Duman Orynbekov ◽  
Michal Zhumagulov ◽  
Gulnur Saspugayeva ◽  
...  

The efficiency of a wastewater treatment process may be affected by several factors including the scale at which the system is operating. This study aimed at investigating the influence of scale on a poultry slaughterhouse wastewater treatment process. The process is comprised of several units including electrolysis, membrane filtration, and ultraviolet irradiation. The results of the industrial-scale wastewater treatment plant of the Izevski poultry farm slaughterhouse in Kazakhstan were compared with those of a lab-scale wastewater treatment process under the same conditions. The traditional and water quality index (WQI) approaches were used to present the results and the drinking water quality standards of Kazakhstan were used as a reference. The industrial and lab-scale plants showed high purification efficiency for most of the studied water quality parameters. The comparative analysis based on the WQI showed that the industrial-scale wastewater treatment plant outperforms the lab-scale wastewater treatment process.


2014 ◽  
Vol 716-717 ◽  
pp. 1591-1594
Author(s):  
Wen Hua Chen ◽  
Qiang Cai ◽  
Xu Wang

In order to achieve the integrated process of wastewater treatment, this research designs a kind of intelligent control system that can monitoring water quality parameters in real-time, which is small, convenient control, high efficiency and low consumption. The acquisition station and control station of the system are based on STM32F107 and industrial control tablet, combined with IASBR process to achieve simultaneous removal of organic matter, nitrogen, phosphorus and COD in wastewater. This system can monitor water temperature, pH, ORP, DO and other water quality parameters. Aiming at the uncertainty of the DO in process control, the fuzzy control method is proposed to realize the rationalization of aeration, meet the needs of wastewater biochemical treatment of the DO. It has a certain reference value to the intelligent development of integrated wastewater treatment.


2021 ◽  
Vol 292 ◽  
pp. 01039
Author(s):  
Fu Yuting ◽  
Li Changbo ◽  
Zhao Guozheng ◽  
Li Dongyu ◽  
Yang Jiatong ◽  
...  

Shale oil refinery wastewater was a kind of industrial wastewater with many types of organic matter and complex water quality. It contains a large amount of pollutants such as phenols, ammonia and oil, which is extremely harmful to the environment. Due to the increasingly stringent national discharge standards, it was difficult to treat wastewater up to standard with only one method, and multiple methods are needed to jointly treat wastewater. In this paper, the process of shale oil refinery wastewater treatment system was modified, and the “SDN+Advanced Oxidation+MBR” process was proposed to treat wastewater.


2018 ◽  
Vol 2017 (3) ◽  
pp. 718-728
Author(s):  
Khush Bakht Andleeb ◽  
Imran Hashmi

Abstract Two demonstration wastewater treatment systems, i.e. a phytoremediation system and a membrane bioreactor (MBR) system, were studied for a six-month period from August 2016 to January 2017. The phytoremediation system consists of wetland cells implanted with diverse phytoremediation macrophyte species at NUST H-12 sector Islamabad, Pakistan, while the MBR system comprises primary clarifiers, membrane tanks and bio tanks that treat domestic wastewater through hybridization of biological and biomechanical techniques. The phytoremediation system receives domestic wastewater at the rate of 283 m3/d, and greater hydraulic efficiencies were achieved because of compartmentalization and higher aspect ratios, whereas the MBR system receives 50 m3/d. The present study was conducted to analyze and compare the correlation between water quality parameters of wastewater treatment systems and meteorological conditions. Statistically significant correlation was exhibited between eight water quality parameters (pH, EC, turbidity, dissolved oxygen, total suspended solids (TSS), chemical oxygen demand (COD), biological oxygen demand (BOD) and total coliforms (TC)) and meteorological factors (ambient temperature and relative humidity). Predominant species isolated and identified through polymerase chain reaction and 16S rRNA sequencing from wastewater of the phytoremediation system and sludge of the MBR system belong to the phylum Proteobacteria with relatively higher abundance of Enterobacter, Shigella, Escherichia and Salmonella genera.


2018 ◽  
Vol 77 (6) ◽  
pp. 1698-1705 ◽  
Author(s):  
Rujia He ◽  
Dayong Zhao ◽  
Huimin Xu ◽  
Rui Huang

Abstract Detailed ecological information on ammonia-oxidizing bacteria (AOB) in activated sludge of wastewater treatment plants (WWTPs) is very important to improve the efficiency of wastewater treatment. In this study, activated sludge samples were collected from seven municipal WWTPs located in seven cities in China, and real-time quantitative polymerase chain reaction (qPCR), as well as construction of clone libraries combined with correlation-based data analysis was performed. Further, the effect of geographic distribution and some water quality parameters on the ecological distribution of AOB in activated sludge from WWTPs were investigated. The geographic distribution, the influent concentration of total nitrogen (TN) and ammonia nitrogen (NH4+-N) had significant effects on the abundance of AOB (P < 0.05). However, the community structure of AOB were not significantly affected by geographic distribution, but by water quality parameters including the concentrations of TN and NH4+-N. N. oligotropha lineage was the dominant AOB group in the wastewater treatment systems. The results obtained in this study provide useful information to understand some aspects of the ecological information and influencing factors of AOB in geographically distributed WWTPs.


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