scholarly journals Combined use of LS-PIV and CFD for the characterization of turbulent flow in the contact chamber of ‘COSTA AZUL’ wastewater treatment plant, Carlos Paz

2021 ◽  
Author(s):  
Ragessi I. Matias ◽  
Leyria Rainieri Gianina ◽  
Ganancias Facundo ◽  
García C. Marcelo ◽  
Di Buo Melina ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Measurement System ◽  
Wastewater Treatment Plant ◽  
Large Scale ◽  
Stokes Equations ◽  
Numerical Models ◽  
Treatment Plant ◽  
Characteristic Parameters ◽  
Cross Sectional ◽  
Flow Monitoring

Abstract The Costa Azul wastewater treatment plant is situated in Carlos Paz city (Córdoba, Argentina). The treated water is discharged to the San Roque reservoir, which is the source of water for the city of Córdoba and surrounding towns. Consequently, it is of great importance to evaluate the potential impact on the water quality reservoir for the preservation of public health. Currently, the WWTP lacks an accurate flow monitoring system at the last treatment: disinfection. This problem led to the development of a methodology in which experimental in-situ work and computational fluid dynamics (CFD) were applied, in a combined way, to calibrate the flow measurement system. First, Large Scale Particle Image Velocimetry (LS-PIV) was applied. The results made it possible to obtain characteristic parameters of the average flow: cross-sectional velocity profiles, recirculation and flow stagnation zones, flow discharge and characteristic parameters of the contact chamber. Second, numerical models, based on the Reynolds-average Navier–Stokes equations with the k–ε turbulent closure model were used. Based on the simulations results, it was possible to calibrate the discharge equation for a rectangular weir, and elaborate recommendations to improve the discharge measurement system and hydraulics in the area of the contact chamber curves.

scholarly journals Status quo report on wastewater treatment plant, receiving water's biocoenosis and quality as basis for evaluation of large-scale ozonation process

2017 ◽  
Vol 77 (2) ◽  
pp. 337-345 ◽  
Author(s):  
I. Brückner ◽  
K. Kirchner ◽  
Y. Müller ◽  
S. Schiwy ◽  
K. Klaer ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plant ◽  
Large Scale ◽  
Treatment Plant ◽  
Treated Wastewater ◽  
Antibiotic Resistant ◽  
Cell Counts ◽  
Endocrine Disrupting ◽  
Ozonation Process ◽  
Receiving Water

Abstract The project DemO3AC (demonstration of large-scale wastewater ozonation at the Aachen-Soers wastewater treatment plant, Germany) of the Eifel-Rur Waterboard contains the construction of a large-scale ozonation plant for advanced treatment of the entire 25 million m³/yr of wastewater passing through its largest wastewater treatment plant (WWTP). In dry periods, up to 70% of the receiving water consists of treated wastewater. Thus, it is expected that effects of ozonation on downstream water biocoenosis will become observable. Extensive monitoring of receiving water and the WWTP shows a severe pollution with micropollutants (already prior to WWTP inlet). (Eco-)Toxicological investigations showed increased toxicity at the inlet of the WWTP for all assays. However, endocrine-disrupting potential was also present at other sampling points at the WWTP and in the river and could not be eliminated sufficiently by the WWTP. Total cell counts at the WWTP are slightly below average. Investigations of antibiotic resistances show no increase after the WWTP outlet in the river. However, cells carrying antibiotic-resistant genes seem to be more stress resistant in general. Comparing investigations after implementation of ozonation should lead to an approximation of the correlation between micropollutants and water quality/biocoenosis and the effects that ozonation has on this matter.

scholarly journals Carriage of ESBL-producing Enterobacterales in wastewater treatment plant workers and surrounding residents - The AWARE Study

2021 ◽  
Author(s):  
Daloha Rodriguez-Molina ◽  
Fanny Berglund ◽  
Hetty Blaak ◽  
Marcela Popa ◽  
Carl-Fredrik Flach ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
The Netherlands ◽  
Wastewater Treatment Plant ◽  
Reference Group ◽  
Treatment Plant ◽  
Cross Sectional Study ◽  
Sensitivity Analyses ◽  
Cross Sectional ◽  
Increased Risk ◽  
Close Proximity

Purpose. To investigate whether wastewater treatment plant (WWTP) workers and residents living in close proximity to a WWTP have elevated carriage rates of ESBL-producing Enterobacterales, as compared to the general population. Methods. From 2018 to 2020, we carried out a cross-sectional study in Germany, the Netherlands, and Romania among WWTP workers (N=344), nearby residents (living ≤ 300 meters away from WWTPs; N=431) and distant residents (living ≥ 1000 meters away = reference group; N=1165). We collected information on potential confounders via questionnaire. Culture of participants' stool samples was performed with ChromID®-ESBL agar plates and species identification with MALDI-TOF-MS. We used logistic regression to estimate the odds ratio (OR) for carrying ESBL-producing E. coli (ESBL- EC). Sensitivity analyses included stratification by country and interaction models using country as secondary exposure. Results. Prevalence of ESBL-EC was 11% (workers), 29% (nearby residents), and 7% (distant residents), and higher in Romania (28%) than in Germany (7%) and the Netherlands (6%). Models stratified by country showed that within the Romanian population, WWTP workers are about twice as likely (aOR = 2.34, 95% CI: 1.22-4.5) and nearby residents about three times as likely (aOR = 3.17, 95% CI: 1.8-5.59) to be ESBL-EC carriers, when compared with distant residents. Conclusions. In stratified analyses by country, we found an increased risk for carriage of ESBL-EC in Romanian workers and nearby residents. This effect was higher for nearby residents than for workers, which suggests that, for nearby residents, factors other than the local WWTP could contribute to the increased carriage.

scholarly journals Real-time model predictive control of a wastewater treatment plant based on machine learning

2020 ◽  
Author(s):  
A. Bernardelli ◽  
S. Marsili-Libelli ◽  
A. Manzini ◽  
S. Stancari ◽  
G. Tardini ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plant ◽  
Large Scale ◽  
Municipal Wastewater ◽  
Energy Savings ◽  
Treatment Plant ◽  
Main Process ◽  
Municipal Wastewater Treatment ◽  
Time Model ◽  
The Right

Abstract Two separate goals should be jointly pursued in wastewater treatment: nutrient removal and energy conservation. An efficient controller performance should cope with process uncertainties, seasonal variations and process nonlinearities. This paper describes the design and testing of a model predictive controller (MPC) based on neuro-fuzzy techniques that is capable of estimating the main process variables and providing the right amount of aeration to achieve an efficient and economical operation. This algorithm has been field tested on a large-scale municipal wastewater treatment plant of about 500,000 PE, with encouraging results in terms of better effluent quality and energy savings.

SHAFDAN (Greater Tel Aviv Wastewater Treatment Plant): recent upgrade and expansion

2016 ◽  
Vol 11 (2) ◽  
pp. 288-297
Author(s):  
Arie Messing ◽  
Yuval Sela
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plant ◽  
Construction Projects ◽  
Large Scale ◽  
Municipal Wastewater ◽  
Treatment Plant ◽  
Primary Treatment ◽  
Management Program ◽  
Design Parameters ◽  
Total Capital

The SHAFDAN is the largest wastewater treatment plant in Israel and currently treats 360,000 m3/day of municipal wastewater, about 92% of its treatment capacity. Waste sludge from the plant is discharged to the Mediterranean Sea through a marine outfall. The SHAFDAN is committed to ending the disposal of its sludge to the sea by the end of 2016 by providing a land-based biosolids management program that produces a Class A biosolids for agricultural use. In order to implement this strategy, a number of large-scale construction projects were undertaken. These projects include a new sludge thickening and dewatering facility, updated headworks, a new primary treatment facility, and a new 3-stage thermophilic anaerobic digestion facility. The total capital cost of these projects is estimated to be US $300 million. This paper describes the principal components of these projects and their design parameters.

Project Management for the Construction of a Large Scale Modified UNITANK Wastewater Treatment Plant

2014 ◽  
Vol 584-586 ◽  
pp. 2317-2321
Author(s):  
Hai Liang Zheng ◽  
Zheng Xiao ◽  
Chun Feng Hu ◽  
Yao Wen Wu ◽  
Wei Jiang
Keyword(s):  
Wastewater Treatment ◽  
Project Management ◽  
Wastewater Treatment Plant ◽  
Large Scale ◽  
Treatment Plant ◽  
Cost Effective ◽  
Stable Operation ◽  
Term Operation ◽  
Short Period ◽  
Pollutants Removal

As more and more work is organized through projects and programmers, project management is becoming increasingly important. Aiming to ensure the project quality, control building progress within a short period and make the cost effective, full-process project management for the construction of a large scale modified UNITANK wastewater treatment plant (WWTP) was conducted and introduced in detail in this paper. Long term operation results indicate that the Qianfeng II WWTP shows good pollutants removal performance and stable operation ability, which demonstrates that these project management methods are practical and could be popularized for the similar projects in the future.

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