Using Cow Bone Char for Improvement of Domestic Water Quality in Chiang Mai, Thailand

2011 ◽  
Vol 311-313 ◽  
pp. 1583-1587
Author(s):  
Surasit Laosatirawong ◽  
Sakdiphon Thiensem ◽  
Sittiporn Punyanitya
Keyword(s):  
Water Quality ◽  
Wastewater Treatment ◽  
Bone Char ◽  
Chiang Mai ◽  
Domestic Water ◽  
Batch System ◽  
Materials Used ◽  
Cow Bone

Characterization of Environmentally friendly materials used as wastewater treatment material has been studied in order to compare the quality of wastewater in Chiang Mai, Thailand on two types of treatment materials, which are cow bone char (CBC) made from Thai cow bone char cleaned and calcined at 850๐C and the a mineral called “zeolite” (ZLT) bought from Kamthiang market, Chiang Mai. The physical characteristics of both types of materials indicate that the CBC has a higher density than the ZLT but has lower pore volume than the ZLT. The effect of density on the water quality improvement was showed that CBC was a suitable type of wastewater treatment material because their high density can fix them in the batch system.

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.

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.

scholarly journals Impact of Hijlan Creek springs on water quality of the Euphrates River and the hydrochemical characterization of the contamination plumes

2021 ◽  
Vol 80 (15) ◽  
Author(s):  
Muwafaq Ayesh Rabeea ◽  
Ahmed J. R. Al-Heety ◽  
Mahmmoud Ismail Mohammed ◽  
Adnan Mohammed Fayydh ◽  
Mohamed Elhag
Keyword(s):  
Water Quality ◽  
Euphrates River ◽  
Hydrochemical Characterization

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 Water quality of Narai canal and Balu river of Dhaka City: An impact of industrialization

2016 ◽  
Vol 12 (2) ◽  
pp. 285-290 ◽  
Author(s):  
S Roy ◽  
LN Banna ◽  
M Hossain ◽  
H Rahman
Keyword(s):  
Water Quality ◽  
Quality Parameter ◽  
Parameter Analysis ◽  
Effluent Treatment ◽  
Water Quality Parameter ◽  
Domestic Water ◽  
Environmental Consideration ◽  
Rapid Industrialization ◽  
Standard Limit

Rapid industrialization around riverside without having proper environmental consideration causes severe water pollution in our country. On accordance with the consecution of this problem the study was conducted to investigate the water quality of Narai canal and Balu river during January to June, 2012. Water quality parameter analysis i.e. color, odor, pH, total dissolved solids (TDS), dissolved oxygen (DO), ammonium (NH4) results show that except pH all exceeded standard limit for domestic water use, irrigation and fish cultivation. The minimum and maximum values of pH, TDS, DO and NH4 were 6.89-7.33, 982-1308 ppm, 0.33-2.12 ppm and 6.79-89.76 ppm, respectively. Present analysis with secondary research data also revealed that this pollution rate is becoming intensified quickly which may pose a great threat in future for human health, ecosystem and sustainable agricultural production. So, Effluent Treatment Plants (ETP) is urgently needed to minimize the concentration of pollutants and ultimately to save the river water of the concerned area.J. Bangladesh Agril. Univ. 12(2): 285-290, December 2014

scholarly journals Rain water quality assessment as air quality indicator in Pakistan

2019 ◽  
Vol 54 (2) ◽  
pp. 161-168
Author(s):  
G Yaqub ◽  
A Hamid ◽  
S Asghar
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Air Quality ◽  
Water Quality Assessment ◽  
Rain Water ◽  
Domestic Water ◽  
Indirect Evaluation ◽  
Potential Use ◽  
Insight Into

Rain is an effective way for removing pollutants from the atmosphere. The present study was initiated to determine rain water quality for its safe use as potable water, as well as a tool for indirect evaluation of air quality of different study areas. A total of 20 rain water samples were collected from areas including Kasur, Sheikhupura, Gujranwala and Lahore. The pH (5.49 + 0.323), turbidity (12.267 + 5.933NTU), Cl- (4785 + 1458.32ppm) and F- (16.44 + 4.52ppm) contents of samples are not in compliance with drinking water quality limits (Pakistan, WHO). Average sulphate (1.396 + 0.384 ppm) and NO3 − concentrations (52.35 + 12.11ppm) varied between 1.005-2.05ppm and 36.79-81.3ppm, respectively. Heavy metals analysis showed presence of Cu, Co, Mn and Zn concentrations below WHO limits while Cd and Pb concentrations exceeded WHO limits with values ranging between 0.005ppm-0.017ppm and 19ppm-254ppm, respectively . Findings indicate that rain water can provide an insight into the air quality of an area and its potential use as an alternative to drinking water, especially in areas of short domestic water supply. Bangladesh J. Sci. Ind. Res.54(2), 161-168, 2019

Characterization of hydrogeochemical process and evaluation of water quality of seven geothermal springs, Bakreswar, India

2018 ◽  
Vol 11 (12) ◽  
Author(s):  
Subhajit Roy ◽  
Balwant Kumar ◽  
Abbhijit Chowdhury ◽  
Umesh Kumar Singh ◽  
Samit Ray
Keyword(s):  
Water Quality ◽  
Geothermal Springs ◽  
Hydrogeochemical Process

Characteristics of Ion Release from Building Materials during Rainwater Harvesting

2014 ◽  
Vol 955-959 ◽  
pp. 3522-3528
Author(s):  
Jian Feng Zhang ◽  
Ya Xiong Deng ◽  
Zhan Qin Lei ◽  
Wei Xie
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Rural Areas ◽  
Building Materials ◽  
Rainwater Harvesting ◽  
Chinese Government ◽  
Ion Release ◽  
Water Ph ◽  
Materials Used

In the past two decade, the Chinese government has paid a huge effort to solve the problem of drinking water in remote rural. As an alterative success case, rainwater harvesting and utility has been the most efficient way to supplying fresh water in rural areas of the Loess Plateau, a typical water resources serious shortage area in China. Focused on improving the quality of the rural village cistern water, study about the characteristics of ion release from building materials during runoff process with five representative materials used for rainwater collection: concrete, red brick, grey tile, red tile and soil was conducted. The ion releasing process and following effect on cistern water quality index, such as hardness, pH, conductivity, has been analyzed. Results revealed that the most release strength of different materials was arriving at 30s following startup. Furthermore, the test of effects of rain acidity on ion release procession showed that the total ion release increased with storm water pH declining, however, the release strength was irrelevance with runoff’s pH. Based on research results, a detailed suggestion was provided to renovate intake construction of cistern for improving the drinking water quality in remote rural areas of Weibei Semi-arid District.

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.

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