Performance Evaluation of Wastewater Treatment Plant

Bhave, Prashant P.; Naik, S. Srinu; Salunkhe, Shubham D.

doi:10.1007/s41101-020-00081-x

Cited by 25 publications

(14 citation statements)

References 8 publications

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“…Z1 and Z5 WWTP use the Rotating Media Bio Reactor (RMBR) and Sequential Batch Reactor (SBR) technology for secondary treatment, respectively. These technologies aid in efficient separation of the generated sludge from the wastewater which is also known to drastically reduce bacterial and viral load from the wastewater (Bhave et al, 2020 ), thus no viral RNA was detected post-secondary treatment herein. Arora et al ( 2020 ) also reported absence of SARS-CoV-2 in the treated wastewater samples processed through similar methods.…”

Section: Discussionmentioning

confidence: 99%

Wastewater-Based Epidemiology of SARS-CoV-2: Assessing Prevalence and Correlation with Clinical Cases

Wani¹,

Menon

Desai³

et al. 2023

Food Environ Virol

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Wastewater-based epidemiology has been recognized as a tool to monitor the progress of COVID-19 pandemic worldwide. The study presented herein aimed at quantitating the SARS-CoV-2 RNA in the wastewaters, predicting the number of infected individuals in the catchment areas, and correlating it with the clinically reported COVID-19 cases. Wastewater samples ( n = 162) from different treatment stages were collected from three wastewater treatment plants (WWTPs) from Mumbai city during the 2nd surge of COVID-19 (April 2021 to June 2021). SARS-CoV-2 causing COVID-19, was detected in 76.2% and 4.8% of raw and secondary treated ( n = 63 each) wastewater samples respectively while all tertiary treated samples ( n = 36) were negative. The quantity of SARS-CoV-2 RNA determined as gene copies/100 mL varied among all the three WWTPs under study. The gene copy numbers thus obtained were further used to estimate the number of infected individuals within the population served by these WWTPs using two published methods. A positive correlation ( p < 0.05) was observed between the estimated number of infected individuals and clinically confirmed COVID-19 cases reported during the sampling period in two WWTPs. Predicted infected individuals calculated in this study were 100 times higher than the reported COVID-19 cases in all the WWTPs assessed. The study findings demonstrated that the present wastewater treatment technologies at the three WWTPs studied were adequate to remove the virus. However, SARS-CoV-2 genome surveillance with emphasis on monitoring its variants should be implemented as a routine practice to prepare for any future surge in infections.

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Section: Discussionmentioning

confidence: 99%

Wastewater-Based Epidemiology of SARS-CoV-2: Assessing Prevalence and Correlation with Clinical Cases

Wani¹,

Menon

Desai³

et al. 2023

Food Environ Virol

View full text Add to dashboard Cite

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“…Various problems faced by WWTP operators such as (i) Inappropriate design of hydraulic and mass loading [3] (ii) mechanical equipment problems, and (iii) low operation, maintenance, and troubleshooting can cause poor removal efficiency. Besides, the deterioration of wastewater quality due to population growth and land-use changes are also essential to be considered [4].…”

Section: Introductionmentioning

confidence: 99%

Modeling performance of industrial park wastewater treatment plant by STOAT software

et al. 2020

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To control environmental pollution, the Wastewater Treatment Plant (WWTP) plays a vital role in treating wastewater to comply with quality standards before being discharged into the environment. However, not all WWTPs have worked optimally, so the periodic evaluations must be carried out to determine problems and what efforts can be made to improve WWTP processing quality. This study aims to evaluate the Jababeka 1 WWTP, which functions to treat wastewater in Industrial Area 1 and Industrial Area 7, which are in the Jababeka Industrial Estate (KIJ). Evaluation is carried out by comparing the actual processing efficiency with the related literature. Evaluation is also carried out by simulating the process and operation of WWTP using STOAT software. STOAT is one of the WWTP system modeling software mostly used to predict the wastewater treatment plant’s performance. The test results show that for the efficiency of Jababeka 1, WWTP removal for parameters BOD, COD, and TSS are 90%, 93.02%, and 96.12%. Based on the data obtained, modeling based on sensitivity analysis was also carried out using STOAT software to determine the most significant WWTP performance parameters. It was found that the wastewater discharge was the most critical parameter affecting the removal efficiency of TSS and BOD.

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“…In the assessment of plant performance, a weight elicitation is essential to identify the most sensitive effluent wastewater quality parameters (Guerrero et al, 2012;Bhave et al, 2020). In this study, due to lack of a weighted priority to the pollutants discharged into the water body, an equal weight (wi) of 1 were assigned to the nine effluent wastewater quality parameters.…”

Section: Wastewater Treatment Performance Assessment Using Effluent W...mentioning

confidence: 99%

Textile wastewater treatment plant performance assessment using time-function based effluent quality index and multiple regression models

Wondim,

Dzwairo,

Aklog

et al. 2023

Preprint

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Extensive water and chemicals are used in the textile industry processes. Therefore, treatment of textile wastewater is vital to protect the environment, maintain the public health, and recover resources. However, due to inadequate quality data, inexperienced plant operators, and inconsistent measurements, a real-time prediction of effluent quality of a textile wastewater treatment plant is difficult. Thus, the aim of this study was to characterize the wastewater physicochemical properties and evaluate the performance of the textile factory wastewater treatment plant (WWTP) in Bahir Dar, Ethiopia. Inlet and outlet of the WWTP, samples were collected for six months and analyzed on-site and in a laboratory for parameters including, dissolved oxygen, pH, temperature, total Kjeldhal nitrogen (TKN), chemical oxygen demand (COD), biochemical oxygen demand (BOD5), total suspended solids (TSS), total nitrogen (TN), total phosphorous (TP), nutrients, and metallic compounds. The TSS, BOD5, COD, TP, nitrite, ammonia, and total chromium result were above the discharge limit with 73.2 mg/L, 48.45 mg/L, 144.08 mg/L, 7.9 mg/L, 1.36 mg/L, 1.96 mg/L, and 0.16 mg/L, respectively. Multiple regression models were developed for each overall, net moving average and instantaneous effluent quality index (EQI). The predictor parameters BOD5, TN, COD, TSS, and TP (R2 = 0.995 to 1.000) estimated the net pollution load as 492.55 kg/d and 655.44 kg/d. Except TN, TKN, and NO3, the remaining six performance parameters were violating the permissible limit daily. Furthermore, the overall plant efficiency was predicted as 38 % and 42 % for the moving average and instantaneous EQI, respectively. Our study concluded that the integrated regression models and EQI can easily estimate the plant efficiency and daily possible pollution load.

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Performance Evaluation of Wastewater Treatment Plant

Cited by 25 publications

References 8 publications

Wastewater-Based Epidemiology of SARS-CoV-2: Assessing Prevalence and Correlation with Clinical Cases

Wastewater-Based Epidemiology of SARS-CoV-2: Assessing Prevalence and Correlation with Clinical Cases

Modeling performance of industrial park wastewater treatment plant by STOAT software

Textile wastewater treatment plant performance assessment using time-function based effluent quality index and multiple regression models

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