scholarly journals SARS-CoV-2 in Municipal Wastewater Treatment Plant, Collection Network and Hospital Wastewater

Author(s):  
Chiman Karami ◽  
Abdollah Dargahi ◽  
Mehdi Vosoughi ◽  
Ali Normohammadi ◽  
Farhad Jalali ◽  
...  

Abstract The current outbreak of coronavirus disease (COVID-19) has led to creating a public health emergency conditions since 2019. COVID-19, which is caused by SARS-CoV-2, is spread via human-to-human transmission by direct contact or droplets. Through conducting this study, we were looking for detecting SARS-CoV-2 in wastewater produced in Iran country (Ardabil, Nir, Khalkhal and Givi) (wastewater collection network, wastewater treatment plant and hospital wastewater). In this research, samples (n = 76) were collected from influent and effluent of municipal and hospital wastewater treatment plants and some samples were also collected from Ardabil municipal wastewater manholes. The sampling duration included the white (lower risk of covid-19) and red (high risk of covid-19) conditions. Samples were stored at -20°C for further diagnostic tests. Out of 76 samples, a total of 16 samples (21.05%) collected from wastewater in Ardabil province (Ardabil, Nir, Khalkhal, and Givi), were positive in terms of SARS-CoV-2. Wastewater epidemiology can facilitate detection of the incidence of pathogens through metropolises, measurement of population prevalence without direct testing, and provision of information to public health system about the efficiency of intervening efforts.

1999 ◽  
Vol 40 (7) ◽  
pp. 55-65 ◽  
Author(s):  
Mohamed F. Hamoda ◽  
Ibrahim A. Al-Ghusain ◽  
Ahmed H. Hassan

Proper operation of municipal wastewater treatment plants is important in producing an effluent which meets quality requirements of regulatory agencies and in minimizing detrimental effects on the environment. This paper examined plant dynamics and modeling techniques with emphasis placed on the digital computing technology of Artificial Neural Networks (ANN). A backpropagation model was developed to model the municipal wastewater treatment plant at Ardiya, Kuwait City, Kuwait. Results obtained prove that Neural Networks present a versatile tool in modeling full-scale operational wastewater treatment plants and provide an alternative methodology for predicting the performance of treatment plants. The overall suspended solids (TSS) and organic pollutants (BOD) removal efficiencies achieved at Ardiya plant over a period of 16 months were 94.6 and 97.3 percent, respectively. Plant performance was adequately predicted using the backpropagation ANN model. The correlation coefficients between the predicted and actual effluent data using the best model was 0.72 for TSS compared to 0.74 for BOD. The best ANN structure does not necessarily mean the most number of hidden layers.


2018 ◽  
Vol 4 (12) ◽  
pp. 1988-1996 ◽  
Author(s):  
Yan He ◽  
Yishuang Zhu ◽  
Jinghan Chen ◽  
Minsheng Huang ◽  
Guohua Wang ◽  
...  

The tense deficiency of available land resources is becoming one of the bottlenecks in dealing with wastewater treatment plant (WWTP) management issues.


2021 ◽  
Author(s):  
Ashish Kumar Gupta

The objective was to design a municipal wastewater treatment plant with primary sedimentation and without primary sedimentation and then compare the savings in capital cost. The project discussed the design procures for the various units such as preliminary units, secondary units and tertiary units. The parametric cost estimation concept is utilized to arrive at the capital cost savings. The literature review includes the various methods to recover the nutrients from the wastewater. The literature review also includes various measures to be taken for performance improvement of municipal wastewater treatment plants. This project concludes that capital cost savings of about twenty percent can be achieved by not providing the primary sedimentation.


2016 ◽  
Vol 18 (4) ◽  
pp. 728-733 ◽  

<p>Odours discharged from wastewater treatment plants generally cause severe damage to locals. When facility odors affect air quality and cause citizen complaints, an investigation of those odours may require using standardized scientific methods. Odour intensity is one of the main odour characterization parameter, and represents an important sensory indicator of environmental odours.</p> <p>Presently, different international standards have been developed for the measurement of odours. Main consolidated methods are the measurement of odour index assessed by panelists, standardized in Japan and developed there more than 40 years ago; and the measured of odour concentration by dynamic olfactometer according to European standard EN13725:2003.</p> <p>In this study odour samples were collected on a municipal wastewater treatment plant to investigate the relationship between odour index assessed by Japanese standard methods and odour concentration measured with dynamic olfactometry. A monthly sampling and relative odour measurement were carried out for consecutive 8 months at the Laboratory of the Sanitary Environmental Engineering Division (SEED) at the University of Salerno (Italy).</p> <p>Results show a strong linear correlation between the two investigated odour measurement methods, in the case of the measurement of high concentrations. While at lower odour concentrations were observed a difference between the two methods.</p>


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Krittiya Lertpocasombut ◽  
Sayan Sirimontree ◽  
Boonsap Witchayangkoon ◽  
Chanachai Thongchom ◽  
Veronica Winoto ◽  
...  

Abstract There are 101 municipal wastewater treatment plants in Thailand supplied with electricity and cannot collect wastewater treatment fees. Alternative sources of energy for municipal wastewater treatment would reduce the electricity costs and future fossil energy uses. The Nonthaburi wastewater treatment plant (WWTP) is located in the Northwest of Bangkok and selected due to its available data. The solar energy source is applied to the Nonthaburi WWTP due to the light intensity and the area to install. By comparing to the wind and the biogas sources, the wind speed and the sludge production are not sufficient, respectively. Besides the estimated installation cost of the solar-cell panels among three companies, the NPV of 25 years and the IRR of three percent rate, the area required for installation is an affecting factor for the plant consideration.


2021 ◽  
Author(s):  
Ashish Kumar Gupta

The objective was to design a municipal wastewater treatment plant with primary sedimentation and without primary sedimentation and then compare the savings in capital cost. The project discussed the design procures for the various units such as preliminary units, secondary units and tertiary units. The parametric cost estimation concept is utilized to arrive at the capital cost savings. The literature review includes the various methods to recover the nutrients from the wastewater. The literature review also includes various measures to be taken for performance improvement of municipal wastewater treatment plants. This project concludes that capital cost savings of about twenty percent can be achieved by not providing the primary sedimentation.


2012 ◽  
Vol 518-523 ◽  
pp. 2324-2327
Author(s):  
Jun Feng Wu ◽  
Hua Shu Ouyang ◽  
Xian Li Wang

To alleviate the water pollution, the original wastewater treatment process was transformed based on the existing structures. Anaerobic-anoxic-aerobic process (A2/O process) was used as the main process, instead of the original two-stage aeration process (AB process). Pretreatment process and advanced treatment process were strengthened. After transformation, the effluent quality could meet the first class of A standard of the "municipal wastewater treatment plant emission standards" (GB18918-2002) and all the quality indexes of the treated water met the requirements of discharge standard of sewage treatment. The original structures were fully used in this transformation, saving investment, which provided a practical reference for the transformation of the wastewater treatment plants.


Water ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 1339
Author(s):  
Javier Bayo ◽  
Sonia Olmos ◽  
Joaquín López-Castellanos

This study investigates the removal of microplastics from wastewater in an urban wastewater treatment plant located in Southeast Spain, including an oxidation ditch, rapid sand filtration, and ultraviolet disinfection. A total of 146.73 L of wastewater samples from influent and effluent were processed, following a density separation methodology, visual classification under a stereomicroscope, and FTIR analysis for polymer identification. Microplastics proved to be 72.41% of total microparticles collected, with a global removal rate of 64.26% after the tertiary treatment and within the average retention for European WWTPs. Three different shapes were identified: i.e., microfiber (79.65%), film (11.26%), and fragment (9.09%), without the identification of microbeads despite the proximity to a plastic compounding factory. Fibers were less efficiently removed (56.16%) than particulate microplastics (90.03%), suggesting that tertiary treatments clearly discriminate between forms, and reporting a daily emission of 1.6 × 107 microplastics to the environment. Year variability in microplastic burden was cushioned at the effluent, reporting a stable performance of the sewage plant. Eight different polymer families were identified, LDPE film being the most abundant form, with 10 different colors and sizes mainly between 1–2 mm. Future efforts should be dedicated to source control, plastic waste management, improvement of legislation, and specific microplastic-targeted treatment units, especially for microfiber removal.


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