Impact of Raw Water Ammonia on the Surface Water Treatment Processes and Its Removal by Nitrification

1970 ◽  
Vol 24 (2) ◽  
pp. 85-89 ◽  
Author(s):  
M Alamgir Hossain ◽  
ANM Fakhruddin ◽  
Sirajul Islam Khan
Keyword(s):  
Water Quality ◽  
Water Treatment ◽  
Surface Water ◽  
Removal Rate ◽  
Treatment Plant ◽  
Ammonia Removal ◽  
Raw Water ◽  
High Concentration ◽  
Treated Water ◽  
Treatment Processes

Impact of raw water ammonia on the treated water quality and removal of ammonia from surface water were studied. Raw water ammonia and physicochemical quality of treated water of Saidabad Water Treatment Plant were analyzed for the period of one year (January through December 2006). The monthly averages of maximum (7.55 mg/l) and minimum (0.34 mg/l) ammonia-N level of the raw water were recorded in March and September 2006 respectively. During dry season raw water containing high concentration of ammonia reacted with chlorine at pre-chlorination step of treatment processes and disrupted the total treatment system. It was found from the study that when the concentration of ammonia was high in raw water the aesthetic characters such as turbidity, colour, taste, odour, alkalinity, total dissolved solids (TDS), conductivity, total chlorine etc. of the treated water were changed significantly. Chemical consumption is increased as a result water treatment costs is increased. To mitigate the above problems of the treated water nitrification was used for the removal of ammonia from raw water. Ammonia removal rate was monitored with some other water quality parameters during the study. In the nitrification process ammonia was removed from raw water very effectively, i.e., maximum about 98% raw water ammonia was removed during the study. Additionally other water quality factors were improved significantly.Keywords: Raw water, Treated water, Raw water ammonia, Water quality, NitrificationDOI: http://dx.doi.org/10.3329/bjm.v24i2.1249 Bangladesh J Microbiol, Volume 24, Number 2, December 2007, pp 85-89

scholarly journals Evaluation of Water Quality and the Efficiency of Ifraz-2 Water treatment plant-Units

2019 ◽  
Vol 6 (2) ◽  
pp. 121-138
Author(s):  
Imad Ali Omar
Keyword(s):  
Water Quality ◽  
Water Treatment ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Quality Parameters ◽  
Raw Water ◽  
Treated Water ◽  
Removal Efficiencies ◽  
Filtration Unit

Abstract: Water treatment plant (WTP) is essential for providing clean and safe water to the habitants. There is a necessity to evaluate the performance of (WTP) for proper treatment of raw water. The purpose of the present study is to evaluate the quality of treated water by investigating the performance of Ifraz-2 (WTP) units located in Erbil City, Iraq. For assessment of the (WTP) units, samples were taken for a duration of five months from different locations: raw water (the source), post-clarification processes, post-filtration processes, and from the storage tank. Removal efficiencies for the units, and for the whole (WTP) were calculated and presented. Obtained removal efficiencies for the sedimentation unit; filtration unit; and the entire Ifraz-2 (WTP) were 91.51 %, 64.71 %, and 97.29 %, respectively. After the process of disinfection and storage, the valued of the turbidity of the treated water were ranged from 1.2 to 9.7 (Nephelometric Turbidity Units) NTU. Besides, water quality index (WQI) for the (WTP) was studied and calculated for 14 physicochemical water quality parameters. WQI for Ifraz-2 (WTP) was 51.87 and it is regarded as a good level. Also, operational problems have been detected and reported during the research period, especially during sedimentation, filtration, and disinfection. Suitable solutions have been reported to the operational team.

scholarly journals Trophic status, phytoplankton diversity, and water quality at Kafr El-Shinawy drinking-water treatment plant, Damietta

2021 ◽  
Author(s):  
Mohamed Deyab ◽  
Magda El-Adl ◽  
Fatma Ward ◽  
Eman Omar
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Treatment ◽  
Trophic Status ◽  
Treatment Plant ◽  
Drinking Water Treatment ◽  
Water Treatment Plant ◽  
Raw Water ◽  
Phytoplankton Diversity ◽  
Treated Water

Abstract This work aims to study the seasonal fluctuation in physicochemical characteristics, trophic status, and some pollutants influencing phytoplankton diversity, and water quality at a compact Kafr El-Shinawy drinking-water treatment plant, Damietta – Egypt seasonally during 2018. Phytoplankton distribution was affected by the trophic status of water, level of pollutants, and physicochemical treatment processes of water. The predominance of phytoplankton species, especially Aphanizomenon flos aquae (Cyanophyta), Gomphosphaeria lacustris (Cyanophyta), Microcystis aeruginosa (Cyanophyta), Nostoc punctiforme (Cyanophyta), Oscillatoria limnetica (Cyanophyta), Pediastrum simplex (Chlorophyta), and Melosira granulata (Bacillariophyta) in treated water was much less than that in raw water. Trihalomethanes (THMs) levels in treated waters were higher than in raw water, while lower concentrations of heavy metals were recorded in treated water. Intracellular levels of microcystins were lower, whereas the extracellular levels were higher in treated water than raw water, and the former recorded the highest level in raw water during summer. Hence, the levels of dissolved microcystins and THMs in treated water were higher especially during summer, the season of luxurious growth of Microcystis species. Trophic state index (TSI) was relatively high in raw water compared with treated water due to high concentrations of nutrients (total-P, total-N, nitrite, nitrate, and ammonia) in raw water.

scholarly journals Impact of an Extreme Winter Storm Event on the Coagulation/Flocculation Processes in a Prototype Surface Water Treatment Plant: Causes and Mitigating Measures

2019 ◽  
Vol 16 (15) ◽  
pp. 2808 ◽  
Author(s):  
Fuguo Qiu ◽  
Huadong Lv ◽  
Xiao Zhao ◽  
Dongye Zhao
Keyword(s):  
Water Quality ◽  
Water Treatment ◽  
Surface Water ◽  
Low Temperature ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Operating Conditions ◽  
Raw Water ◽  
Winter Storm ◽  
Surface Water Treatment

Climate change has often caused failure in water treatment operations. In this study, we report a real case study at a major surface water treatment plant in Alabama, USA. Following a severe winter storm, the effluent water turbidity surged to >15.00 Nephelometric Turbidity Units (NTU), far exceeding the 0.30 NTU standard. As a result, the plant operation had to be shut down for three days, causing millions of dollars of losses and affecting tens of thousands of people. Systematic jar tests were carried out with sediment samples from 22 upstream locations. The coagulation and settleability of sediment particles were tested under simulated storm weather conditions, i.e., low temperature (7 °C) and in the presence of various types and concentrations of natural organic matter (NOM) that was extracted from the local sediments. Experimental results proved that elevated NOM (6.14 mg·L−1 as Total Organic Carbon, TOC) in raw water was the root cause for the failure of the plant while the low temperature played a minor but significant role. Pre-oxidation with permanganate and/or elevated coagulant dosage were found effective to remove TOC in raw water and to prevent similar treatment failure. Moreover, we recommend that chemical dosages should be adjusted based on the TOC level in raw water, and a reference dosage of 0.29 kg-NaMnO4/kg-TOC and 19 kg- polyaluminum chloride (PACl) /kg-TOC would be appropriate to cope with future storm water impacts. To facilitate timely adjustment of the chemical dosages, the real time key water quality parameters should be monitored, such as turbidity, TOC, Ultraviolet (UV) absorbance, pH, and color. The findings can guide other treatment operators to deal with shock changes in the raw water quality resulting from severe weather or other operating conditions.

An approach for determining the most critical among a suite of chemical contaminants at a drinking water intake

2013 ◽  
Vol 13 (3) ◽  
pp. 835-845
Author(s):  
Fei Chen ◽  
William B. Anderson ◽  
Peter M. Huck
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Intake ◽  
Treatment Plant ◽  
Quality Data ◽  
Exceedance Probability ◽  
Raw Water ◽  
Water Quality Data ◽  
Treatment Processes ◽  
Raw Water Quality

An integrated approach for the identification and assessment of the most critical chemical contaminant(s) at a drinking water intake has been developed. It involves the determination of a threshold or critical raw water concentration (CRWC) for target contaminants using the observed overall removal efficiency of a specific water treatment plant (WTP) and regulated drinking water concentrations for the target contaminants. The exceedance probability relative to the CRWC based on historical raw water quality monitoring data is then calculated. Finally, the integration of the raw water quality data and the overall efficiency of a particular WTP sequence allows for identification of the most critical contaminant(s) as well as an advance indication of which contaminants are most likely to challenge a plant. The proactive nature of this approach gives a utility the impetus and time to assess current treatment processes and potential alternatives. In addition, it was found that three- or four-parameter theoretical distributions are more appropriate than two-parameter probability distributions for the fitting of raw water quality data. This study reveals that the reliance on raw and/or treated water contaminant concentrations in isolation or on theoretical removals through treatment processes can, in some circumstances, be misguided.

Halogenated Phenols in Water at Forty Canadian Potable Water Treatment Facilities

1986 ◽  
Vol 69 (5) ◽  
pp. 807-810
Author(s):  
Bishop B Sithole ◽  
David T Williams
Keyword(s):  
Water Treatment ◽  
Water Samples ◽  
Potable Water ◽  
Treatment Plant ◽  
Water Type ◽  
Raw Water ◽  
Mean Values ◽  
Treated Water ◽  
Halogenated Phenols ◽  
Potable Water Treatment

Abstract Samples of raw and treated water were collected once in each of 3 seasons at 40 potable water treatment plants across Canada and were analyzed for phenol and 33 halogenated phenolic compounds including chlorophenols, bromophenols, bromochlorophenols, and chloroguaiacols. Eighteen of the compounds were not found at any treatment plant; phenol and each of the remaining halogenated phenols were found in at least 1 sample. Pentachlorophenol was the only halogenated phenolic compound found in more than 20% of the raw water samples in the fall and winter samples at levels up to 53 ng/L with mean values of 1.9 and 2.8 ng/L, respectively. No halogenated phenols were detected in raw water summer samples. The halogenated phenols found most frequently in treated water samples were 4-chloro-, 2,4-dichloro-, 2,4,6- trichloro-, and bromodichlorophenols. Mean values were less than 15 ng/L and maximum values seldom exceeded 100 ng/L. Most of the positive values for the treated water samples were found at 8 of the 40 treatment plants but no correlations could be found between halogenated phenol levels and raw water type, treatment process, or chemical dosages.

Influence of molecular weight distribution of organic substances on the removal efficiency of DBPS in a conventional water treatment plant

2000 ◽  
Vol 41 (10-11) ◽  
pp. 43-49 ◽  
Author(s):  
C-N. Chang ◽  
A. Chao ◽  
F-S. Lee ◽  
F-F. Zing
Keyword(s):  
Water Quality ◽  
Molecular Weight ◽  
Water Treatment ◽  
Weight Distribution ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Quality Parameters ◽  
Organic Substances ◽  
Raw Water ◽  
Unit Operations

The objective of this study is to investigate how the molecular weight distribution of the organic substances affects their treatment efficiencies and the reduction of disinfection by-products (DBPs) in the various unit operations of a full-scale water treatment plant. The results indicate that the membrane with a smaller molecular weight cut-off is more effective for removing the organic substances and its associated water quality parameters from the raw water. For example, using the membrane with a molecular weight cut-off of 0.5 K (500 daltons), the removal efficiency of DOC from the raw water sample can be as high as 88%. Removal efficiencies of other water quality parameters such as UV254 absorbance, THMFP and AOXFP are generally between 65–69%. When undergoing the various unit operations in the conventional water treatment plant, most organic substances are removed in the coagulation process followed by sedimentation.

scholarly journals Does the recycling of waste streams from drinking water treatment plants worsen the quality of finished water? A case assessment in China

2016 ◽  
Vol 17 (2) ◽  
pp. 597-605
Author(s):  
Zhiquan Liu ◽  
Yongpeng Xu ◽  
Xuewei Yang ◽  
Rui Huang ◽  
Qihao Zhou ◽  
...  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Treatment ◽  
Treatment Plant ◽  
Drinking Water Treatment ◽  
Ammonia Nitrogen ◽  
Raw Water ◽  
Waste Streams ◽  
Filter Backwash Water

The overall purpose was to assess the feasibilities of recycling filter backwash water (FBWW) and combined filter backwash water (CFBWW) in a drinking water treatment plant in south China. The variations of regular water-quality indexes, metal indexes (Al, Mn and Cd), polyacrylamide and disinfection by-product indexes (trihalomethanes and their formation potentials) along with the treatment and the recycling processes were monitored. Results showed the recycling procedure caused increases of turbidity, total solids, ammonia nitrogen (NH3-N), permanganate index (CODMn), and dissolved organic carbon, Al, Mn and Cd concentrations in a mixture of raw water and FBWW or CFBWW compared to those in raw water. However, the recycling procedure had negligible impacts on the qualities of settled water and filtered water because most of the contaminants could be effectively removed by the conventional water treatment process. Although recycling did cause slight increases of NH3-N and CODMn levels in settled water and filtered water, the quality of finished water always conformed to Chinese standards for drinking water quality according to the surveyed indexes in the present study. Thus, it is appropriate to recycle waste streams in water-stressed areas if the source water is well managed and the water treatment processes are carefully conducted.

Particle and microorganism removal in floating plastic media coupled with microfiltration membrane for surface water treatment

2005 ◽  
Vol 51 (10) ◽  
pp. 93-100 ◽  
Author(s):  
C. Chiemchaisri ◽  
W. Chiemchaisri ◽  
T. Kornboonraksa ◽  
C. Dumrongsukit ◽  
S. Threedeach ◽  
...  
Keyword(s):  
Water Treatment ◽  
Surface Water ◽  
Filtration Rate ◽  
Coliform Bacteria ◽  
Transmembrane Pressure ◽  
Raw Water ◽  
Microfiltration Membrane ◽  
Treated Water ◽  
Surface Water Treatment ◽  
Plastic Media

Floating plastic media followed by hollow fiber microfiltration membrane was applied for surface water treatment. The performance of the system in terms of particle and microorganisms was investigated. The floating filter was examined at different filtration rates of 5, 10 and 15 m3/m2.h. Treated water was then fed into a microfiltration unit where different filtration rates were examined at 0.6, 1.0 and 1.4 m3/m2.d. It was found that polyaluminum chloride was the best coagulant for the removal of particle, algae and coliform bacteria. Average turbidity in treated water from the floating plastic media filter was 3.3, 12.2 and 15.5 NTU for raw water of 80 NTU and 12.9, 11.7 and 31.2 NTU for raw water of 160 NTU after 6 hours at the filtration rates of 5, 10 and 15 m3/m2.h, respectively. The microfiltration unit could further reduce the turbidity to 0.2–0.5 NTU with low transmembrane pressure development of 0.3–3.7 kPa. Microfiltration membrane could retain most of algae and coliform bacteria remaining in the effluent from the pretreatment unit. It was found that at higher turbidity, algae and coliform bacteria removal efficiencies were achieved at lower filtration rate of the system of 5 m3/m2.h whereas a higher filtration rate of 15 m3/m2.h yielded better coliphage removal.

Use of chitosan in coagulation flocculation of raw water of Keddara and Beni Amrane dams

2011 ◽  
Vol 11 (2) ◽  
pp. 202-210 ◽  
Author(s):  
Hassiba Zemmouri ◽  
Slimane Kadouche ◽  
Hakim Lounici ◽  
Madjid Hadioui ◽  
Nabil Mameri
Keyword(s):  
Water Treatment ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Raw Water ◽  
Treated Water ◽  
Surface Water Treatment ◽  
Aluminium Sulfate ◽  
Low Concentrations ◽  
Ph Range ◽  
Different Doses

The effectiveness of chitosan as a coagulant flocculant in surface water treatment has been studied. Tests were carried out in laboratory on treated and raw water. The treated water was mixed with high and low concentrations of bentonite to simulate turbid water. This treated water provides from water treatment plant of Algiers (Boudouaou site) which is supplied by both dams of Keddara and Beni Amrane. The raw water comes directly from these two dams. Chitosan with 85% degree of deacetylation and derived from crab chitin has been used. The performance of coagulation flocculation process has been assessed by measuring the supernatant turbidity for different doses of chitosan, initial turbidity, water quality and pH. The obtained results show that chitosan can be used in a large pH range. Chitosan is effective for coagulation of bentonite suspension and for raw water with high initial turbidity. Otherwise, chitosan is inefficient for raw water with very low initial turbidity. In this case, the use of chitosan as aid coagulant with aluminium sulfate (main coagulant) allows more effectiveness in removing turbidity.

scholarly journals Modelo de predição de desempenho de estações de tratamento de água de pequeno porte usando redes neurais artificiais

Revista DAE ◽  
2019 ◽  
Vol 221 (68) ◽  
pp. 87-100
Author(s):  
Juscelino Alves Henriques ◽  
Marcelo Libânio ◽  
Veber Afonso Figueiredo Costa ◽  
Mariângela Dutra de Oliveira
Keyword(s):  
Neural Network ◽  
Water Quality ◽  
Water Treatment ◽  
Performance Optimization ◽  
Treatment Plant ◽  
Plant Performance ◽  
Water Quality Control ◽  
Treated Water ◽  
Water Treatment Plants ◽  
Apparent Color

As estações de tratamento de água (ETAs) têm um papel fundamental e estratégico no controle de doenças transmitidas pela água por meio da potabilização da água, para atender às necessidades da população que é abastecida por ela. Nesse contexto, a avaliação do desempenho dessas estações é primordial, particularmente para as entidades responsáveis pelo estágio de controle da qualidade da água, uma vez que a ETA deve apre- sentar e operar com condições mínimas necessárias para alcançar seu objetivo. Para o desenvolvimento dos modelos (Modelo 1 - com base na turbidez da água tratada e Modelo 2 - com base na cor aparente da água tratada) foram utilizados dados referentes à qualidade da água bruta e tratada, fatores operacionais e parâme- tros hidráulicos de 3 ETAs, com taxas de fluxo de 50 L.s-1 ou menos. Os modelos foram desenvolvidos usando a caixa de ferramentas do Matlab®, a partir da rede neural do tipo de camadas recorrentes, com função de ativação tansig e purelin. Como resultados, os modelos apresentaram coeficientes de determinação de 0,928 e 0,823 para turbidez e cor aparente da água tratada, respectivamente. Os resultados corroboram a aplicação da Inteligência Artificial em estações de tratamento de água, com o objetivo de otimizar processos e garantir uma maior operabilidade da ETAs, gerando um produto cada vez mais confiável. Palavras-chave: Desempenho da planta de tratamento de água. Processos de otimização. Rede neural artificial. Abstract The water treatment plants (WTP) have a fundamental and strategic role in the control of waterborne diseases through the potabilization of water, to meet the needs of the population that is supplied by it. In this context, evaluating the performance of these stations is paramount, particularly for the entities responsible for the water quality control stage, since WTP must present and operate with minimum conditions necessary to achieve its ob- jective. For the development of the models (Model 1 - based on turbidity of treated water and Model 2 - based on the apparent color of the treated water) data were used referring to raw and treated water quality, operational factors and hydraulic parameters of 3 WTPs, with flow rates of 50 L.s-1 or less. The models were developed usingthe Matlab® toolbox, from the neural network of the recurrent layers type, with activation function tansig and purelin. As results, the models presented regression coefficients of 0.928 and 0.823 for turbidity and apparent color of treated water, respectively. The results corroborate for the application of Artificial Intelligence in water treatment plants, with a view to optimizing processes and guaranteeing greater WTPs operability, generating an increasingly reliable product. Keywords: Water treatment plant performance. Optimization processes. Artificial Neural Network.

Sign in / Sign up

Export Citation Format

Share Document