scholarly journals Modeling and monitoring of treated wastewater based on water quality assurance parameters

2019 ◽  
Author(s):  
CI Chemistry International ◽  
Elias Barsenga Hassen ◽  
Abraham M. Asmare
Keyword(s):  
Water Quality ◽  
Wastewater Treatment Plants ◽  
Back Propagation ◽  
Predictive Performance ◽  
Quality Parameters ◽  
Treated Wastewater ◽  
Mathematical Tool ◽  
Effluent Water ◽  
Feed Forward Back Propagation

Recently, process control in wastewater treatment plants (WWTPs) is, mostly accomplished through examining the quality of the water effluent and adjusting the processes through the operator’s experience. This practice is inefficient, costly and slow in control response. A better control of WTPs can be achieved by developing a robust mathematical tool for performance prediction. Due to their high accuracy and quite promising application in the field of engineering, Artificial Neural Networks (ANNs) are attracting attention in the domain of WWTP predictive performance modeling. This work focuses on applying ANN with a feed-forward, back propagation learning paradigm to predict the effluent water quality of the Habesha brewery WTP. Data of influent and effluent water quality covering approximately an 11-month period (May 2016 to March 2017) were used to develop, calibrate and validate the models. The study proves that ANN can predict the effluent water quality parameters with a correlation coefficient (R) between the observed and predicted output values reaching up to 0.969. Model architecture of 3-21-3 for pH and TN, and 1-76-1 for COD were selected as optimum topologies for predicting the Habesha Brewery WTP performance. The linear correlation between predicted and target outputs for the optimal model architectures described above were 0.9201 and 0.9692, respectively.

Predictive performance modeling of Habesha brewery wastewater treatment plant using artificial neural networks

2019 ◽  
Author(s):  
Chem Int
Keyword(s):  
Neural Networks ◽  
Water Quality ◽  
Wastewater Treatment ◽  
Artificial Neural Networks ◽  
Performance Modeling ◽  
Predictive Performance ◽  
Mathematical Tool ◽  
Effluent Water ◽  
Artificial Neural

Recently, process control in wastewater treatment plants (WWTPs) is, mostly accomplished through examining the quality of the water effluent and adjusting the processes through the operator’s experience. This practice is inefficient, costly and slow in control response. A better control of WTPs can be achieved by developing a robust mathematical tool for performance prediction. Due to their high accuracy and quite promising application in the field of engineering, Artificial Neural Networks (ANNs) are attracting attention in the domain of WWTP predictive performance modeling. This work focuses on applying ANN with a feed-forward, back propagation learning paradigm to predict the effluent water quality of the Habesha brewery WTP. Data of influent and effluent water quality covering approximately an 11-month period (May 2016 to March 2017) were used to develop, calibrate and validate the models. The study proves that ANN can predict the effluent water quality parameters with a correlation coefficient (R) between the observed and predicted output values reaching up to 0.969. Model architecture of 3-21-3 for pH and TN, and 1-76-1 for COD were selected as optimum topologies for predicting the Habesha Brewery WTP performance. The linear correlation between predicted and target outputs for the optimal model architectures described above were 0.9201 and 0.9692, respectively.

scholarly journals Assessment of the Impact of Sewage Storage Ponds on the Water Environment in Surrounding Area

Proceedings ◽  
2020 ◽  
Vol 51 (1) ◽  
pp. 20
Author(s):  
Kairat Ospanov ◽  
Timur Rakhimov ◽  
Menlibai Myrzakhmetov ◽  
Dariusz Andraka
Keyword(s):  
Water Quality ◽  
Water Environment ◽  
Quality Parameters ◽  
Treated Wastewater ◽  
Groundwater Aquifer ◽  
Sewage Ponds ◽  
Basic Quality ◽  
The Impact

The paper presents the results of research on the environmental impact of sewage ponds serving the city of Kostanay (Kazakhstan). The scope of the research included the determination of basic quality parameters of raw and treated wastewater, an analysis of the chemical composition of groundwater in the vicinity of sewage ponds, and the analysis of the water quality of the Tobol River. The obtained results indicate that sewage from storage ponds, infiltrating into the ground, caused groundwater pollution in the area of about 100 km2 around the reservoirs. Due to the fact that the groundwater aquifer in the vicinity of sewage ponds feeds the Tobol River, it also affects water quality in the river, which does not meet the requirements for most of the analyzed parameters.

scholarly journals Study on Irrigation Water Quality in the Rift Valley Areas of Awash River Basin, Ethiopia

2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Zeyede Aregahegn ◽  
Mulate Zerihun
Keyword(s):  
Water Quality ◽  
Wastewater Treatment Plants ◽  
Hot Spring ◽  
Physicochemical Characteristic ◽  
Quality Parameters ◽  
Permissible Limit ◽  
Water Quality Parameters ◽  
Different Seasons ◽  
Very High

Awash River water has been impaired by various types of pollution owing to waste released from different socioeconomic activities in its basin. This study aimed to evaluate the water quality of the Awash River and its tributaries in the basin used for irrigation purposes. Sampling sites were identified based on the pollution sources, accessibility, and land-use coverage. A total of 17 sampling sites were chosen along the Awash River, and samplings were collected four times a year through different seasons. The overall water quality and suitability for irrigation are explained using multiple water quality parameters such as pH, EC, SAR, RSC, Na+, K+, Ca + Mg, CO32−, HCO3−, and Cl−. The obtained results showed that all quality parameters at Beseka Lake exceed the maximum permissible limit of suitability for irrigation. It is generally conceivable that the physicochemical characteristic of the Awash River varies in different water quality parameters at different sites. Only Beseka Lake and Meteka hot spring water exceeded pH and SAR permissible limit, and EC at Mojo, Wonji, Beseka, Melkasedi, Werer, Ambash, Meteka, and Meteka hot spring shows medium-to-high salinity scale, while RSC was very high at Beseka, Melkasedi, Meteka hot spring, Ambash, Meteka Mojo, Werer, Assayta, Wonji, Dupty, Tibila, Metehara, and Afambo, respectively. The establishment of wastewater treatment plants for industries and stormwater quality management at hotspot areas are recommended to improve the water quality, and dispatch proportion needs to be considered in the future.

scholarly journals Assessment of the Impact of Sewage Storage Ponds on the Water Environment in Surrounding Area

Water ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2483
Author(s):  
Kairat Ospanov ◽  
Timur Rakhimov ◽  
Menlibai Myrzakhmetov ◽  
Dariusz Andraka
Keyword(s):  
Water Quality ◽  
Water Environment ◽  
Quality Parameters ◽  
Treated Wastewater ◽  
Sewage Ponds ◽  
Treatment Facilities ◽  
Basic Quality ◽  
The Republic ◽  
The Impact

Due to geographical limitations (lack of natural receivers of treated wastewater) large sewage storage ponds are the main method of sewage disposal in the Republic of Kazakhstan. The paper presents the results of research on the environmental impact of sewage ponds serving the city of Kostanay (Kazakhstan). The scope of the research included the determination of basic quality parameters of raw and treated wastewater, the analysis of the chemical composition of groundwater in the vicinity of sewage ponds, and the analysis of the water quality of the Tobol River. The obtained results showed that efficiency of treatment facilities was unsatisfactory and water quality in the ponds did not meet requirements for surface waters for fishery. Highest contamination of groundwater was observed in sampling points close to the sewage ponds and was decreasing while the distance from the ponds was increasing. Multivariate analysis of the research data indicated that sewage from storage ponds, infiltrating into the ground, may affect quality of groundwater, which in turn supplying the Tobol River may also determine the quality of the river water.

Environmental Impact Evaluation of Istanbul Wastewater Treatment and Marine Disposal Systems

1992 ◽  
Vol 25 (9) ◽  
pp. 85-92 ◽  
Author(s):  
I. Ozturk ◽  
T. Zambal ◽  
A. Samsunlu ◽  
E. Göknel
Keyword(s):  
Water Quality ◽  
Wastewater Treatment ◽  
Environmental Impact ◽  
Quality Parameters ◽  
Sea Of Marmara ◽  
General Evaluation ◽  
Marine Outfall ◽  
Secondary Stage ◽  
Pre Treatment

Metropolitan Istanbul Wastewater Treatment System contains 14 marine outfalls, seven of which include secondary stage biological treatment processes. The others have only mechanical treatment units including bar screens and grit chambers. Only one mechanical pre-treatment and marine disposal system, Yenikapi plant, has been operated since 1988 among these 14 plants and six of them are ready for construction. In this paper, the environmental impact of Yenikapi pretreatment and marine disposal system on the water quality of the Bosphorus and the Sea of Marmara has been investigated. Long term water quality measurements which were performed in pre-and post-dischange applications have been evaluated. Water quality parameters including pH, DO, BODs, TKN, P and total coliforms were measured at various sampling stations around the discharge points. A general evaluation of marine outfall systems to be constructed in the scope of Istanbul wastewater treatment project, on the water quality of the Sea of Marmara and the Bosphorus has been presented.

First flush effects in an urban catchment area in Aalborg

1998 ◽  
Vol 37 (1) ◽  
pp. 251-257 ◽  
Author(s):  
Torben Larsen ◽  
Kirsten Broch ◽  
Margit Riis Andersen
Keyword(s):  
Water Quality ◽  
Catchment Area ◽  
Quality Parameters ◽  
Average Concentration ◽  
First Flush ◽  
Storm Events ◽  
Urban Catchment ◽  
Discharge Measurements ◽  
Quality Measurements

The paper describes the results of measurements from a 2 year period on a 95 hectare urban catchment in Aalborg, Denmark. The results of the rain/discharge measurements include 160 storm events corresponding to an accumulated rain depth of totally 753 mm. The water quality measurements include 15 events with time series of concentration of SS, COD, BOD, total nitrogen and total phosphorus. The quality parameters showed significant first flush effects. The paper discusses whether either the event average concentration or the accumulated event mass is the most appropriate way to characterize the quality of the outflow.

scholarly journals Tap Water Quality: Seasonal User Surveys in Poland

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3841
Author(s):  
Józef Ober ◽  
Janusz Karwot
Keyword(s):  
Water Quality ◽  
World Literature ◽  
Mixed Methods Research ◽  
Tap Water ◽  
Quality Parameters ◽  
Subjective Perception ◽  
Quality Of Water ◽  
Profit Analysis ◽  
Tap Water Quality

Security of supply of water, which meets the quality parameters specified in applicable standards, is now the basis for the functioning of most societies. In addition to climatic, biological, chemical, and physical hazards, it is worth paying attention to consumers’ subjective perception of the quality of tap water supplied in the area of Poland. The article discusses various activities related to water resources management and analyses the results of an evaluation of selected quality parameters of tap water in Poland. A novelty on a European scale here is an examination of the evaluation of these parameters based on potential seasonal differences (spring, summer, autumn, winter). For the first time in the world literature, PROFIT analysis was used to evaluate selected parameters of tap water quality. The aim of the article was to present a model for the evaluation of the parameters of tap water supplied in different seasons of the year in Poland. Due to the complexity of the research aspects, a mixed-methods research procedure was used in which a literature review was combined with a survey and statistical analysis. For the purpose of the survey, an original survey questionnaire called “Survey of customer opinions on selected parameters of tap water supplied in Poland” was developed especially for this study. The conducted research confirmed the adopted hypothesis that the results of evaluation of selected tap water parameters vary depending on the period (spring, summer, autumn, winter) in Poland. The model developed by means of PROFIT analysis makes it possible to highlight to water suppliers the specific quality parameters in particular seasons of the year (spring, summer, autumn, winter), which may improve the quality of water supplied in Poland and thus, in the long-term perspective, increase the level of satisfaction of water recipients and confidence in drinking tap water in Poland.

Impact of Lockdown on Health of the Yamuna river at Delhi Stretch, India

2021 ◽  
Vol 27 (1) ◽  
Author(s):  
MANOJ KUMAR SHUKLA
Keyword(s):  
Water Quality ◽  
Industrial Waste ◽  
Quality Parameters ◽  
Domestic Sewage ◽  
Pollution Monitoring ◽  
Yamuna River ◽  
Industrial Pollutants ◽  
The Impact ◽  
Positive Effect

Present study points out the impact of Lockdown on the health of the Yamuna river at Delhi stretch by comparing prelockdown and Post-lockdown period by studying the reports of pollution monitoring agencies. Delhi segment of the Yamuna is highly polluted, where alongwith domestic sewage a huge quantity of industrial waste is being discharged continuously without proper treatment. Pre lockdown (March 2020) water quality parameters at three sampling stations named as Palla, Nizammuddin Bridge and Okhla barrage U/s in Delhi were, pH were 8.7, 7.3 and 7.2, DO were 17.1 mg/L, not detected in later two sites, BOD were 7.9 mg/L, 57 mg/L and 27 mg/L and COD were 28 mg/L, 90 mg/L and 95 mg/L respectively and postlockdown period (April 2020) the pH was 7.8, 7.2 and 7.1, DO was 8.3 mg/L, 2.4 mg/L and 1.2 mg/L BOD was 2 mg/L, 5.6 mg/ L and 6.1 mg/L and COD were 6 mg/L, 16 mg/L and 18 mg/L respectively. The study of these parameters at three sampling stations reveals that the lack of industrial pollutants discharging due to nationwide lockdown for COVID-19 pandemic had positive effect on water quality of this river. Water quality could be maintained by planned establishment of industries and setup of ETP with without gap between generation and treatment.

scholarly journals Investigation of Water Quality Parameters from Ramna, Crescent and Hatirjheel Lakes in Dhaka City

2015 ◽  
Vol 8 (1) ◽  
pp. 1-5 ◽  
Author(s):  
MS Islam ◽  
M Rehnuma ◽  
SS Tithi ◽  
MH Kabir ◽  
L Sarkar
Keyword(s):  
Water Quality ◽  
Lake Water ◽  
Public Awareness ◽  
Aquatic Organisms ◽  
Quality Parameters ◽  
Water Runoff ◽  
Dhaka City ◽  
Sound Environment ◽  
Surrounding Areas

The study was conducted to know the status of water quality of the Ramna, Crescent and Hatirjheel lakes in the Dhaka city. Water samples were collected from three different points of each lake and analyzed for various physicochemical parameters including temperature, pH, EC, TDS, DO, BOD, hardness, alkalinity, acidity during the period from November 2013 to April 2014. The mean temperature 22.54, 24.59 and 24.24°C; EC 15400, 282.00 and 618.27 ?Scm-1; TDS 85.38, 155.60 and 339.90 ppm; pH 7.73, 7.85 and 7.67; DO 3.51, 3.92 and 3.65 ppm; BOD 0.93, 0.73 and 3.15 ppm; hardness 95.00, 108.56 and 105.11 ppm; alkalinity 48.9, 120.7 and 249.1 ppm, and acidity 2.18, 2.67 and 2.05 ppm were investigated from Ramna, Crescent and Hatirjheel lakes, respectively. Lower concentration of DO was observed in all three lakes that severely harmed the aquatic organisms and degrade their habitat. The comparative study demonstrated that the concentration of BOD, EC, TDS, alkalinity and acidity of Hatirjheel Lake was higher than Ramna and Crescent lakes which indicated pollution of the lake water. The rain and storm water runoff, lack of awareness of people were responsible for the pollution of Ramna, Crescent and Hatirjheel lakes water. Connection of the sewerage line with the rain water collection channels and mixing of solid waste with lake water are the main reasons for pollution of Hatirjheel lake. Poor water quality of these lakes affects the ecosystem and aesthetic beauty negatively. To maintain the sound environment and healthy ecosystem of the lakes and the surrounding areas need proper management and monitoring and implementation of existing laws and regulations. Moreover public awareness is necessary otherwise it is hardly possible to maintain sound water quality of these three lakes.J. Environ. Sci. & Natural Resources, 8(1): 1-5 2015

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