scholarly journals A study on prediction method for ozone dosage and residual ozone concentration in advanced ozone water treatment

2017 ◽  
Vol 12 (1) ◽  
pp. 87-96 ◽  
Author(s):  
J. S. Hyung ◽  
K. B. Kim ◽  
M. C. Kim ◽  
I. S. Lee ◽  
J. Y. Koo
Keyword(s):  
Water Quality ◽  
Hydrogen Peroxide ◽  
Water Treatment ◽  
Environmental Factors ◽  
Real Time ◽  
Ozone Concentration ◽  
Prediction Method ◽  
Optimum Amount ◽  
Factors Affecting ◽  
Water Treatment Plants

Ozone dosage in most water treatment plants is operated by determining the ozone concentration with the experience of the operation. In this case, it is not economical. This study selected the factors affecting residual ozone concentration and attempted to estimate the optimum amount of hydrogen peroxide dosage for the control of the residual ozone concentration by developing a model for the prediction of the residual ozone concentration. The prediction formulas developed in this study can quickly respond to the environment of water quality and surrounding environmental factors, which change in real time, so it is judged that they could be used for the operation of the optimum ozone process, and the control of ozone dosage could be used as a new method in controlling the concentration of ozone dosage and the concentration of residual ozone.

scholarly journals Characteristics of water sludge from Cracow Water Treatment Plants – case study

2019 ◽  
Vol 100 ◽  
pp. 00019 ◽  
Author(s):  
Renata Gmurkowska
Keyword(s):  
Water Treatment ◽  
Organic Compounds ◽  
Dry Matter ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Dry Mass ◽  
Capillary Suction ◽  
Factors Affecting ◽  
Experimental Part ◽  
Water Treatment Plants

During water treatment a large amount of sludge is created – in the form of sewage and sediments. The largest amounts of sludge are produced during coagulation, ozonation and backwashing rapid filters. The quality and quantity of treated water, the type and dose of used coagulants are factors affecting the quantity, composition and properties of the sludge. Sludge produced during processing of drinking water is important problem and their quantity has been increasing. The study focuses on characteristics of water treatment sludge from four water treatment plants in Cracow. It includes theoretical and experimental part. The first part is based on analysis of literature and information obtained from MPWiK [3]. The second experimental part, concerns the analysis of dry matter, organic dry matter, capillary suction time and visual parameters: the color and consistency of the sludge. Result shows that every sludge contains organic matter. The highest concentrations of organic compounds and the largest diversity has been observed in the sludge collected in the Water Treatment Plant Raba, reaching even up to 70% of organic compounds in the dry mass of sludge.

scholarly journals Identifikasi Kualitas Air dan Beban Pencemaran Sungai Bedadung di Intake Instalasi Pengolahan Air PDAM Kabupaten Jember

2019 ◽  
Vol 18 (2) ◽  
pp. 135
Author(s):  
Hendra Andiananta Pradana ◽  
Sri Wahyuningsih ◽  
Elida Novita ◽  
Aisyah Humayro ◽  
Bambang Herry Purnomo
Keyword(s):  
Water Quality ◽  
Water Treatment ◽  
Government Regulation ◽  
Water Quality Monitoring ◽  
Quality Standard ◽  
T Test ◽  
Anthropogenic Activity ◽  
Pollution Load ◽  
Grab Sampling ◽  
Water Treatment Plants

ABSTRAKLatar belakang: Salah satu sumber air permukaan yang memiliki peran vital bagi ekosistem perairan dan makhluk hidup adalah sungai. Sungai Bedadung merupakan salah satu sungai besar yang melewati wilayah Perkotaan Kabupaten Jember. Air dari sungai tersebut dimanafaatkan sebagai pemasok air baku untuk PDAM Kabupaten Jember. Akan tetapi akibat tekanan aktivitas antropogenik menurunkan kualitas air sungai tersebut. Pemantauan kualitas air diperlukan sebagai salah satu pertimbangan pengendalian pencemaran pada air sungai tersebut. Tujuan penelitian ini mengidentifikasi kondisi kualitas air dan beban pencemaran di intake intalasi pengolahan air (IPA) PDAM Kabupaten Jember.Metode: Pengambilan contoh air secara grab sampling dilakukan di intake IPA Tegal Gede dan IPA Tegal Besar dengan beberapa parameter kualitas air yang diamati yaitu suhu, kekeruhan, TDS, pH, DO, BOD, COD, yang dibandingkan dengan baku mutu Peraturan Pemerintah Republik Indonesia Nomor 82 tahun 2001 serta debit air yang digunakan untuk menghitung beban pencemaran serta dilanjutkan uji t untuk mengetahui perbandingan kondisi beban pencemaran.Hasil: Hasil penelitian menujukkan bahwa kualitas air sungai di intake IPA Tegal Gede dan IPA Tegal Besar secara berurutan tergolong kelas I dan III. Nilai COD di intake IPA Tegal Besar tergolong kelas III. Nilai beban pencemaran menujukkan perbedaan yang signifikan pada kedua intake IPA. Beban pencamaran di IPA Tegal Gede dan Tegal Besar dengan nilai rata-rata secara berurutan yaitu 24,96 kg/hari dan 74,03 kg/hari.Simpulan: Kualitas air Sungai Bedadung berdasarkan parameter fisika dan kimia di intake IPA Tegal Gede di IPA Tegal Besar secara berurutan tergolong kelas I dan III serta kondisi beban pencemaranya beragam.ABSTRACTBackground: River as one of surface water resources has a vital role for ecosystems and organism. Jember Regency Municipal Waterworks utilized the river as water raw resources. However, the pressure of anthropogenic activity decreases the river's water quality. Water quality monitoring is needed as a consideration for pollution controlling in the river. The focus research identified the condition of water quality and pollution load in the water treatment plants (WTP) intake of Jember Regency Municipal Waterworkers.Method: The water sampling by grab sampling was carried out at intake of Tegal Gede and Tegal Besar WTP with several observed pysicochemical parameters i.e temperature, turbidity, TDS, pH, DO, BOD, COD compered with the quality standard of Government Regulation No. 82 of 2001 and stream flow for pollution load measurement and continued by t-test to compire the pollution load conditions.Result: The results denote that the water quality in Tegal Gede and Tegal Besar WTP intakes were classified into first (I) and third (III) class. COD caused water quality decreased in intake of Tegal Besar WTP. The t-test of the pollution load represented a significantly difference at the both water treatment plants locations. Pollution load at Tegal Gede and Tegal Besar WTP showed the average values of 24.96 kg/day and 74.03 kg/day. Conclusion: The water quality refer to physicochemical parameter in intake of Tegal Gede and Tegal Besar were categorized WTP into first (I) and third (III) class, furthermore the condition of the pollution load varies.

scholarly journals Real-Time Estimation of Disinfection By-Products through Differential UV Absorbance

Water ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2536
Author(s):  
Guilherme Stéphanie ◽  
Dorea Caetano
Keyword(s):  
Water Treatment ◽  
Real Time ◽  
Distribution Systems ◽  
Uv Light ◽  
Time Estimation ◽  
Uv Absorbance ◽  
Water Treatment Plants ◽  
Study Results ◽  
Real Time Estimation ◽  
By Products

Efforts to control of unwanted disinfection by-products (DBPs) can be hindered by the relatively low-frequency data that is generated from DBP monitoring for regulatory purposes. Differential UV absorbance (DUVA) has the potential to overcome some of these difficulties as a relatively simple and low-cost technique for the estimation of regulated DBPs (i.e., trihalomethanes, THMs, and haloacetic acids, HAAs). DUVA is based on the principle that differences in UV absorbance at specific wavelengths before and after chlorination can be correlated to DBP occurrence. This project sought to assess a lab-based protocol for the determination of a site-specific linear calibration curve for in situ real-time estimations of DBPs from DUVA measurement in water treatment plants (WTPs). A field spectrophotometer probe capable of high frequency scans within the UV light wavelength spectra with light paths of 100 mm was used. Models were developed to estimate DBP levels, at a scale representative of DUVA and DBP levels that actually occur in the WTP under study. Results showed that level of uncertainty on DBP levels estimation is relatively low (23% for HAAs and 32% for THMs). Although DBP estimations through DUVA are not of regulatory value, they can be used for real-time estimation of DBP levels to better inform operational decision making in water treatment plants and management of DBPs in distribution systems.

Effectively Managing Source Water Quality Affecting Downstream Recycled Water Treatment Plants

2014 ◽  
Vol 2014 (14) ◽  
pp. 2625-2640
Author(s):  
Alice E. Towey ◽  
John M. Hake ◽  
Erika R. Gardner ◽  
Joseph A. Augustine
Keyword(s):  
Water Quality ◽  
Water Treatment ◽  
Source Water ◽  
Recycled Water ◽  
Water Treatment Plants ◽  
Source Water Quality

scholarly journals Determinantes socioeconómicos de la calidad del agua superficial en México

2017 ◽  
Vol 29 (69) ◽  
Author(s):  
María Eugenia Ibarrarán Viniegra ◽  
Alfonso Mendoza Velázquez ◽  
Cristina Pastrana López ◽  
Erika Jazmín Manzanilla Interian
Keyword(s):  
Water Quality ◽  
Water Treatment ◽  
Surface Water ◽  
Economic Activity ◽  
National Development ◽  
Surface Water Quality ◽  
Economic Determinants ◽  
Water Treatment Plants ◽  
Politica Publica ◽  
Different Levels

Resumen: la calidad y la disponibilidad de agua de los ríos en México son cruciales para el desarrollo regional y nacional, pero tienen problemas graves; en 2006, 74 por ciento de las aguas superficiales tenía grados diferentes de contaminación. El objetivo de esta investigación es identificar la influencia de algunas variables socioeconómicas en la calidad del agua superficial en las regiones hidrológicas administrativas, y proponer acciones para mejorarla. Según el análisis econométrico, la actividad económica y la densidad poblacional perjudican la calidad del agua superficial en dichas regiones. Es poco el efecto del aumento de las plantas de tratamiento de agua en cuanto a la contaminación; el incremento en el caudal tratado es contraproducente para la calidad del agua. Estos elementos presentan aspectos importantes para ser abordados por las políticas públicas.Palabras clave: agua superficial; calidad del agua; contaminación de ríos; cuencas hidrológicas; plantas de tratamiento de agua; política pública; modelos econométricos. Socio-economic determinants of surface water quality in MexicoAbstract: the quality and availability of water in Mexican rivers is critical for regional and national development, but they pose serious problems. In 2006, 74 percent of the surface water in Mexico had different levels of pollution. The objective of this research is to identify the influence of socioeconomic variables in surface water quality on each of the hydrological-administrative regions (hars) and to propose actions in order to improve its quality. After an econometric analysis, results show that surface water quality in the different hars is affected by economic activity and population density. On the other hand, the increase of water treatment plants has little impact on reducing water pollution and the increase of treated water shows a counterproductive effect on water quality. All of these aspects should be considered when designing public policy.Key words: surface water; water quality; pollution of rivers; water basins; water treatment plants; public policy; econometric models.

scholarly journals Corrosion resistance of stainless steel in drinking water treatment plants and water storage units

2018 ◽  
Vol 62 (4) ◽  
pp. 141-147
Author(s):  
T. Prošek ◽  
V. Šefl
Keyword(s):  
Stainless Steel ◽  
Corrosion Resistance ◽  
Drinking Water ◽  
Water Treatment ◽  
Drinking Water Treatment ◽  
Treatment Method ◽  
Factors Affecting ◽  
Water Composition ◽  
Water Treatment Plants ◽  
Steel Grades

Abstract Main factors affecting the corrosivity of water in water treatment plants and water towers and other storage facilities, observed types of corrosion degradation of stainless steel and the effect of manufacturing and surface treatment on their corrosion resistance are discussed. A list of stainless steel grades currently used in the field of treatment, transport and storage of drinking water is given together with some other suitable ones. Based on literature resources, optimal stainless steel grades are recommended as a function of water composition and treatment method.

scholarly journals Long-Term Drinking Water Quality Assessment Using Index and Multivariate Statistical Analysis for Three Water Treatment Plants of Erbil City, Iraq

2018 ◽  
Vol 2 (2) ◽  
pp. 39-48
Author(s):  
Hayder Mohammed Issa ◽  
Reem Ahmed Alrwai
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Treatment ◽  
Water Supply ◽  
Drinking Water Treatment ◽  
Drinking Water Quality ◽  
Total Alkalinity ◽  
Total Hardness ◽  
Water Treatment Plants

Safe source of drinking water is always considered as an essential factor in water supply for cities and urban areas. As a part of this issue, drinking water quality is monitored via a useful scheme: developing drinking water quality index DWQI. DWQI is preferably used as it summarizes the whole physicochemical and bacteriological properties of a drinking water sample into a single and simple term. In this study, an evaluation was made for three drinking water treatment plants DWTPs named: Efraz 1, Efraz 2 and Efraz 3 that supply drinking water to Erbil City. The assessment was made by testing thirteen physicochemical and two bacteriological parameters during a long period of (2003 – 2017). It has been found that turbidity, electrical conductivity EC, total alkalinity, total hardness, total coliform and fecal coliform have more influence on drinking water quality. DWQI results showed that the quality of drinking water supplied by the three DWTPs in Erbil City fallen within good level. Except various occasional periods where the quality was varying from good to fair. The quality of the drinking water supply never reached the level of marginal or poor over the time investigated. The applied hierarchical clustering analysis HCA classifies the drinking water dataset into three major clusters, reflecting diverse sources of the physicochemical and bacteriological parameter: natural, agriculture and urban discharges.

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