Water quality of the Beli Lom river

1999 ◽  
Vol 39 (8) ◽  
pp. 55-62 ◽  
Author(s):  
Anastasios I. Stamou ◽  
Bogdana Koumanova ◽  
Stoyan Stoyanov ◽  
Georgy Atanasov ◽  
Konstantinos Pipilis
Keyword(s):  
Water Quality ◽  
Wastewater Treatment ◽  
Finite Difference ◽  
Treatment Plant ◽  
Quality Characteristics ◽  
Order Model ◽  
The Third ◽  
Do Concentration

A general methodology for the study of water quality in rivers is presented. The paper consists of four parts. In the first part the general characteristics of the area of study, which is the Beli Lom river, and its major pollution sources are presented. The effluent of the Razgrad Wastewater Treatment Plant (RWWTP) has been identified as the most significant pollution point source, due to the inadequate performance of the plant. The second part deals with data collection and processing. Four series of data have been collected, including physical, flow and water quality characteristics. In the third part a 1-d, finite-difference, second-order model is presented. In the fourth part, the model is calibrated, for the determination of its main coefficients, and is successfully verified by predicting the BOD and DO concentrations in the Beli Lom river for all series of data. Finally, the model has been applied to determine the maximum BOD and minimum DO effluent concentrations of the RWWTP, so that a minimum DO concentration is maintained throughout the river.

scholarly journals Antibiotics in WWTP discharge into the Chaobai River, Beijing

2016 ◽  
Vol 42 (4) ◽  
pp. 48-57 ◽  
Author(s):  
Zhang Chunhui ◽  
Wang Liangliang ◽  
Gao Xiangyu ◽  
He Xudan
Keyword(s):  
Water Quality ◽  
Wastewater Treatment ◽  
Treatment Plant ◽  
Water Quality Monitoring ◽  
Environmental Distribution ◽  
Receiving River ◽  
Dominant Point ◽  
Aerated Filter ◽  
Beijing China

Abstract22 representative antibiotics, including 8 quinolones (QNs), 9 sulfonamides (SAs), and 5 macrolides (MCs) were selected to investigate their occurrence and removal efficiencies in a Wastewater Treatment Plant (WWTP) and their distribution in the receiving water of the Chaobai River in Beijing, China. Water quality monitoring was performed in an integrated way at different selected points in the WWTP to explore the potential mechanism of antibiotics removal during wastewater treatment. Water quality of the Chaobai River was also analyzed to examine environmental distribution in a river ecosystem. The results showed that within all the 22 compounds examined, 10 antibiotics were quantified in wastewater influent, 10 in effluent, and 7 in river. Sulfadiazine (SDZ, 396 ng/L) and Sulfamethazine (SMZ, 382 ng/L) were the dominating antibiotics in the influent. Both the conventional treatment and advanced Biological Aerated Filter (BAF) system was important for the removal of antibiotics from the wastewater. And the concentrations of selected antibiotics were ranged from 0-41.8 ng/L in the effluent-receiving river. Despite the fact that the concentrations were reduced more than 50% compared to effluent concentrations, WWTP discharge was still regarded as a dominant point-source input of antibiotics into the Chaobai River.

scholarly journals IMPACT OF MARIJAMPOLĖ WASTEWATER TREATMENT PLANT ON WATER QUALITY OF THE ŠEŠUPĖ RIVER

2020 ◽  
Vol 2019 (1) ◽  
pp. 225-230
Author(s):  
Midona Dapkiene ◽  
Laima Česonienė ◽  
Tauras Vasiliauskas
Keyword(s):  
Water Quality ◽  
Wastewater Treatment ◽  
Wastewater Treatment Plant ◽  
Treatment Plant

The effect of organic reactions in a collection system on wastewater treatment plant performance

1995 ◽  
Vol 31 (7) ◽  
pp. 25-31 ◽  
Author(s):  
Bruce Gall ◽  
Imre Takács ◽  
Gilles Patry
Keyword(s):  
Water Quality ◽  
Wastewater Treatment ◽  
Wastewater Treatment Plant ◽  
Numerical Experiments ◽  
Treatment Plant ◽  
Quality Characteristics ◽  
Plant Performance ◽  
Collection System ◽  
Combined Sewer ◽  
Potential Benefits

Biological reactions within the sewer play an important role in establishing the water quality characteristics of combined sewer overflow and of the sewage entering a wastewater treatment plant. A simulation model that shows the effects of reactions in the collection system on wastewater treatment plant performance has been developed. A series of numerical experiments was conducted to illustrate the features of the model, and the potential benefits of the approach. The study also serves to identify areas in which the models need to be improved.

scholarly journals PENGELOLAAN AIR LIMBAH RUMAH POTONG HEWAN DI RPH X, KOTA BOGOR, PROVINSI JAWA BARAT (Wastewater Management of Slaughterhouse in Slaughterhouse X, Bogor City, West Java Province)

2020 ◽  
Vol 25 (1) ◽  
pp. 33
Author(s):  
Irma Lubis ◽  
Tri Edhi Budhi Soesilo ◽  
Roekmijati W. Soemantojo
Keyword(s):  
Water Quality ◽  
Wastewater Treatment ◽  
Treatment Plant ◽  
Quality Standards ◽  
Wastewater Management ◽  
Water Quality Standards ◽  
Wastewater Quality ◽  
The Impact ◽  
Quantitative And Qualitative Methods

ABSTRAKAir limbah Rumah Potong Hewan (RPH) yang tidak dikelola dengan baik dapat menimbulkan masalah lingkungan dan gangguan pada masyarakat yang bertempat tinggal di sekitar RPH. Sejak RPH X beroperasi pada tahun 2009, pengelolaan air limbah RPH X masih belum berjalan optimal. Hal ini dikarenakan air limbah RPH X masih dilihat sebagai materi yang tidak berguna dan dibuang. Saat ini, praktik pengelolaan air limbah RPH X dilakukan dengan menggabungkan semua air limbah kemudian air limbah tersebut diolah dengan Instalasi Pengolahan Air Limbah (IPAL). Riset ini mencoba menganalisis praktik pemotongan sapi, fasilitas RPH, pengelolaan air limbah RPH, kualitas air limbah RPH, dan dampak limbah RPH pada masyarakat. Riset ini menggunakan pendekatan metode kuantitatif dan kualitatif, melalui observasi, wawancara, kuesioner, dan uji laboratorium. Hasil riset menunjukkan bahwa praktik pemotongan sapi di RPH X termasuk kategori baik, fasilitas RPH X termasuk kategori kurang sesuai dengan persyaratan, pengelolaan air limbah RPH X belum berjalan optimal, kualitas air outlet IPAL telah memenuhi baku mutu, dan dampak limbah RPH X pada masyarakat berupa gangguan bau yang dirasakan oleh 100% responden dan gangguan kesehatan berupa mual yang dirasakan oleh 41% responden. Alternatif peningkatan dalam pengelolaan air limbah RPH yang dapat dilakukan adalah minimisasi air limbah melalui segregasi dan pemanfaatan air limbah RPH.Kata kunci:    Rumah Potong Hewan, praktik pemotongan sapi, fasilitas RPH, pengelolaan air limbah RPH, kualitas air limbah RPH, dampak limbah RPH, minimisasiABSTRACTWastewater of slaughterhouse is not managed optimally can cause environmental problems and disruption to communities living around the slaughterhouse. Since slaughterhouse X operates in 2009, wastewater management of the slaughterhouse X is not managed optimally. This is because the wastewater of the slaughterhouse X is seen as useless and discarded material. Currently, the wastewater management of the slaughterhouse X is carried out by mixing all of the wastewater and then the wastewater is treated by Wastewater Treatment Plant (WWTP). This study analyzes practice of cattle slaughtering, slaughterhouse facilities, wastewater management, wastewater quality, impact of slaughterhouse waste. This study exercises quantitative and qualitative methods, through observations, interviews, questionnaires, and laboratory test. The results showed that the practice of cattle slaughtering was categorized into good, the slaughterhouse X facilities were categorized into less suitable, the wastewater management of slaughterhouse X is still not managed optimally, the wastewater quality of WWTP outlet is comply with water quality standards, and the impact of slaughterhouse waste to the communities living around the slaughterhouse is odor disruption felt by 100% of respondents and health issue are nauseous felt by 41% of respondents. An alternative to improving wastewater management of slaughterhouse is minimization through segregation and utilization of slaughterhouse wastewater.

Changes of microbial indices of water quality in the Vistula and Brda rivers as a result of sewage treatment plant operation

2008 ◽  
Vol 37 (2) ◽  
Author(s):  
Maciej Walczak
Keyword(s):  
Water Quality ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Sewage Treatment Plants ◽  
Plant Operation ◽  
Treated Sewage ◽  
Microbiological Parameters ◽  
Microbial Indices

Changes of microbial indices of water quality in the Vistula and Brda rivers as a result of sewage treatment plant operationThis paper reports the results of studies of microbiological changes in the water quality of the Vistula and Brda rivers after the opening of sewage treatment plants in Bydgoszcz. The study involved determining the microbiological parameters of water quality. Based on the results obtained, it was found that the quality of the water in both rivers had improved decidedly after the opening of the plants, although an increased number of individual groups of microorganisms was found at the treated sewage outlet from one of the plants.

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.

Applying Probabilistic Water Quality Standards in River Basin Water Quality Optimization Models

1974 ◽  
Vol 9 (1) ◽  
pp. 25-29
Author(s):  
M. B. Bayer
Keyword(s):  
Water Quality ◽  
River Basin ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Minimum Cost ◽  
Water Quality Standards ◽  
Quality Optimization ◽  
Basin Water ◽  
Do Concentration ◽  
Water Quality Models

Abstract This paper describes a method of applying probabilistic DO (dissolved oxygen) and BOD (biochemical oxygen demand) standards in river basin water quality models. Maximum likelihood estimators for the DO and BOD concentrations variances for each reach are used to obtain a lower bound for BOD so that the probability of violating specified DO and BOD standards is less than Θ per cent in any reach. These boundary values for DO and BOD concentrations are incorporated into a nonlinear water quality optimization model for finding the minimum cost set of wastewater treatment plant efficiencies required to meet DO and BOD standards. The method also provides the minimum DO concentration and the maximum BOD concentration which may be expected to occur 1-Θ of the time for any reach.

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.

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