Statistical Analysis of the Physicochemical Characteristics of Urban Wastewater Treatment Plants from Romania

The analysis of several criteria for influent and effluent of urban sewer water treatment plant in south and south east of Romania, has a crucial role in establishing the correlations between these factors, and furthermore to assess the efficiency of the treatment system. Increasing urbanization degree and its complexity has made studies of the pollution impact appraisal to be a necessity. The mean values of the parameters measured from the wastewater plant influent like temperature, pH, suspended solids, chemical oxygen demand and biological oxygen demand vary from 17.13 � 0.23�C, 7.68 � 0.04, 234.72 � 1.55 mg/L, 396.42 � 0.76 mg/L, and 190.29 � 15.23 mg/L, respectively. The values of the above-mentioned quality indicators after the water treatment are 17.11 � 0.14�C, 7.56 � 0.03, 22.6 � 1.02 mg/L, 62.95 � 0.16 mg/L and 20.49 � 9.06 mg/L. Correlation study intended to define the feasible dependence among the evaluated parameters indicated that there were positive and negative correlations between the influent and effluent. The study conclusions point out the certitude that exist major optimizations in wastewater property after treatment processing.

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Water treatment plant sludge disposal into stabilization ponds

Water Science & Technology ◽

10.2166/wst.2013.652 ◽

2013 ◽

Vol 67 (5) ◽

pp. 1017-1025 ◽

Cited By ~ 5

Author(s):

Sidney Seckler Ferreira Filho ◽

Roque Passos Piveli ◽

Silvana Audrá Cutolo ◽

Alexandre Alves de Oliveira

Keyword(s):

Water Treatment ◽

Wastewater Treatment Plants ◽

Accumulation Rate ◽

Operating Time ◽

Treatment Plant ◽

Water Treatment Plant ◽

Organic Load ◽

Attractive Alternative ◽

Stabilization Ponds ◽

Flow Rate Increase

Researchers have paid particular attention to the disposal of sludge produced in water treatment plants (WTPs) into wastewater treatment plants (WWTPs) for further processing, mainly because it is considered an attractive alternative for the treatment of waste generated in water production processes. This study evaluated the effects of flow equalization and disposal of sludge, from a conventional WTP, into a WWTP system that includes an anaerobic stabilization pond followed by a facultative pond. During the period of sludge discharge from the WTP into the wastewater system, the influent to the WWTP presented an increase of 17% (from 171 to 200 mg L−1) of total suspended solids (TSS) and a 7.0% flow rate increase, without showing adverse effects on the organic load, TSS and nutrients removal. The most significant impact observed in the WWTP was the increase of solids accumulation rate in the anaerobic pond, with a value of 141 mm/year during the sludge discharge period. The operating time, before the dredging and desludging cycles required for this specific anaerobic pond, decreased from 12.7 to 10.4 years, which is consistent with previous studies in literature. Thus, based on the observed parameters of this study, it is viable to release solids from a WTP effluent into a WWTP that includes anaerobic stabilization ponds followed by a facultative pond. Indeed, this process scheme becomes a viable technical, environmental, and economical alternative for small to medium WWTPs.

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An emergent accession for the optimal systematize of waste water utilization plants using artificial intelligence

Water Science & Technology ◽

10.2166/wst.2021.203 ◽

2021 ◽

Author(s):

Mohd Abul Hasan

Keyword(s):

Waste Water ◽

Artificial Intelligence ◽

Water Treatment ◽

Wastewater Treatment Plants ◽

Waste Water Treatment ◽

Sewage Treatment ◽

Sewage Treatment Plant ◽

Treatment Plant ◽

Water Treatment Plant ◽

Waste Water Treatment Plant

Abstract The treatment of wastewater is an essential factor in preventing pollutants and promoting the quality of the water. The inherent complexity, influential impact and the solid waste infrastructure lead to confusion and variance in the primary clarifier for wastewater. These inconsistencies lead to variations in the purity and capacity constraints of wastewater and the existential impact of water receipt. The water treatment is a complicated task that has means of chemical, technical & biochemical influences. A credible ANN method is necessary for another waste water treatment plant to prevent the breakdown of the processes. Virtual reality seems to have become a strong solution for preventing waste management uncertainties and problems. This is not only due to high deformations but also to significant external disturbances that water systems are controlling challenges. Climate is among the most significant of such disturbances. Various environmental conditions actually include different influx frequencies and levels of substances. Water contamination has become one of the extremely serious growing conservation; sewage treatment plant identification is a key major issue here and the agencies enforce tighter requirements for the operating of wastewater software systems. This article plans to create models of achievement and prospects for the possible future guidance of recent research borders for the use of artificial intelligence in wastewater treatment plants which concurrently deal with pollutants. This study has shown us that the composite ANN provides a greater level of competence in plant prediction and systemization. Highlight Systematize of Wastewater Utilization Plants, Artificial Neural Networks, artificial intelligence, Prediction Analysis, Reliability.

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Sewage Water Treatment Plant for Hingna

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2021.36495 ◽

2021 ◽

Vol 9 (VI) ◽

pp. 796-798

Author(s):

Vinay Khewale

Keyword(s):

Waste Water ◽

Water Treatment ◽

Sewage Treatment ◽

Sewage Treatment Plant ◽

Treatment Plant ◽

Oxygen Demand ◽

Water Treatment Plant ◽

Sewage Water ◽

Treated Effluent ◽

Sewage Water Treatment

A sewage water treatment plant is necessary to receive and treat waste water (Domestic, Commercial, and Industrial). Its objective is to be convert harmful waste water to safe water environmentally and treated effluent and treated sludge suitable for reuse and disposal such as farm fertilizer. The characteristics of waste water have been performed followed by design of sewage treatment plant. The present study includes design of sewage treatment plant and analysis of waste water – PH value, Total Dissolved Solids (TDS), Total Suspended Solids (TSS), Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Total Solids (TS), Hardness, Chloride, Acidity, Oil, Fats and grease etc. The sample collection of waste water has been done in many times in a day to obtain an average value of major parameter. Followed by values of this parameter, calculations are done for designing the units of sewage treatment plant and layout is prepared for the same

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Adsorption Combined Phytoremediation System for Treatment of Laundry Wastewater

MATEC Web of Conferences ◽

10.1051/matecconf/201928005002 ◽

2019 ◽

Vol 280 ◽

pp. 05002 ◽

Cited By ~ 1

Author(s):

Eko Siswoyo ◽

Andiny Widya Utari ◽

Lisa Gustia Norma Mungkari

Keyword(s):

Drinking Water ◽

Wastewater Treatment ◽

Water Treatment ◽

Contact Time ◽

Treatment Plant ◽

Oxygen Demand ◽

Drinking Water Treatment ◽

Water Treatment Plant ◽

Environmental Technology ◽

Near Future

Laundry activities grow rapidly in Indonesia in the recent year, remaining the problem of environmental pollution because of the use of detergent. The purpose of the current study was to investigate the ability of sludge of drinking water treatment plant (DWTP) as adsorbent combined with phytoremediation system to remove chemical oxygen demand (COD), phosphate and surfactant in laundry wastewater. Batch and continuous blow studies were conducted on different variables such as adsorbent mass, contact time, and type of plant for phytoremediation system. The results of the current study show that adsorption combined phytoremediation system could remove COD, phosphate, and surfactant up to 77.5%, 54.3%, and 99.9%, respectively. Based on the results, it means that the adsorption combined phytoremediation system could be considered as an appropriate environmental technology for laundry wastewater treatment in the near future.

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Improvement of multi-parameter-based feed-forward coagulant dosing control systems with feed-back functionalities

Water Science & Technology ◽

10.2166/wst.2016.180 ◽

2016 ◽

Vol 74 (2) ◽

pp. 491-499 ◽

Cited By ~ 6

Author(s):

W. Liu ◽

H. Ratnaweera

Keyword(s):

Drinking Water ◽

Wastewater Treatment ◽

Water Treatment ◽

Control Systems ◽

Wastewater Treatment Plants ◽

Dosage Adjustment ◽

Treatment Plant ◽

Drinking Water Treatment ◽

Water Treatment Plant ◽

Feed Forward

Coagulant dosing control in drinking and wastewater treatment plants (WWTPs) is often limited to flow proportional concepts. The advanced multi-parameter-based dosing control systems have significantly reduced coagulant consumption and improved outlet qualities. Due to the long retention time in separation stages, these models are mostly based on feed-forward (FF) models. This paper demonstrates the improvement of such models with feed-back (FB) concepts with simplifications, making it possible to use even in systems with long separation stages. Full-scale case studies from a drinking water treatment plant and a WWTP are presented. The model qualities were improved by the dosage adjustment of the FB model, ranging from 66% to 197% of the FF model. Hence, the outlet qualities became more stable and coagulant consumption was further reduced in the range of 3.7%–15.5%.

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The practical influence of rapid mixing on coagulation in a full-scale water treatment plant

Water Science & Technology ◽

10.2166/wst.2014.492 ◽

2014 ◽

Vol 71 (4) ◽

pp. 566-571 ◽

Cited By ~ 4

Author(s):

Demitri Allerdings ◽

Gerrit Förster ◽

Ekaterina Vasyukova ◽

Wolfgang Uhl

Keyword(s):

Water Treatment ◽

Treatment Plant ◽

Oxygen Demand ◽

Drinking Water Treatment ◽

Water Treatment Plant ◽

Full Scale ◽

Energy Costs ◽

Mechanical Mixing ◽

Rapid Mixing ◽

Flocculation Process

This study focuses on the effect of rapid mixing on the coagulation efficiency in a full-scale drinking-water treatment plant and discusses the mechanisms involved in the floc-formation process. The results refer to three periods of operation of the waterworks when no mechanical mixing was provided in the tanks for coagulant dosing due to mechanical failure of the rapid mixers. Although a certain deterioration of the subsequent flocculation process was observed, as assessed using the data for suspended solids, turbidity, and chemical oxygen demand, the overall water treatment performance was not affected. This suggests an insignificant role for intense rapid mixing in sweep flocculation during full-scale water treatment and reveals the potential to reduce the required energy costs for mechanical mixers.

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Applying reliability analysis to evaluate water treatment plants

Water Science & Technology Water Supply ◽

10.2166/ws.2014.019 ◽

2014 ◽

Vol 14 (4) ◽

pp. 634-642 ◽

Cited By ~ 2

Author(s):

M. D. Oliveira ◽

L. D. V. Melo ◽

L. L. Queiroga ◽

S. M. A. C. Oliveira ◽

M. Libanio

Keyword(s):

Water Treatment ◽

Reliability Analysis ◽

Treatment Plant ◽

Water Treatment Plant ◽

Mean Values ◽

Direct Filtration ◽

Daily Monitoring ◽

Gamma Distributions ◽

Apparent Colour ◽

Log Normal

The aim of this study was to demonstrate the applicability of reliability analysis to a water treatment plant (WTP). Data from daily monitoring of raw and finished water quality from a direct filtration WTP covered the parameters of turbidity, apparent colour, pH, aluminum, chlorine and fluoride, from December 2007 to August 2011. Data analysis included descriptive statistics and adherence tests to normal, log-normal, rectangular, exponential and gamma distributions. A reliability analysis was conducted in three steps: (i) estimation of mean values for monitored parameters based on the established percentage of compliance and comparison with observed mean; (ii) estimation of expected percentage of compliance based on observed mean values and comparison with the observed percentages; and (iii) evaluation of the applicability of reliability analysis to parameters with upper and lower limits. When the comparison between estimated and observed percentages of compliance was made, reliability analysis led to inaccurate results for parameters whose observed percentage of compliance remained below 90%. For parameters whose observed percentage of compliance tended to fullness, deviations were not observed. It is believed that such a conclusion can be extrapolated to estimated mean values: most accurate results are obtained for parameters that have percentages of compliance near 100%.

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