8 Evaluation of raw, treated and effluent water quality from selected water treatment plants: a case study of Lagos Water Corporation

2021 ◽  
pp. 147-168
Author(s):  
Kafeelah Yusuf ◽  
Abdulrafiu Majolagbe ◽  
Sherifat Balogun
Keyword(s):  
Water Quality ◽  
Water Treatment ◽  
Effluent Water ◽  
Water Treatment Plants

Evaluation of raw, treated and effluent water quality from selected water treatment plants: a case study of Lagos Water Corporation

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Kafeelah Yusuf ◽  
Abdulrafiu Majolagbe ◽  
Sherifat Balogun
Keyword(s):  
Water Quality ◽  
Water Treatment ◽  
Principal Component ◽  
Total Coliform ◽  
Total Alkalinity ◽  
World Health ◽  
Total Hardness ◽  
Effluent Water ◽  
Water Treatment Plants ◽  
Adults And Children

Abstract Water plays a significant role in maintaining human health and welfare. In this paper, eight selected water treatment plants (lshasi, Iju, Adiyan, Mosan Okunola, Ikorodu, Otta-ikosi, Alausa and Akilo) controlled by Lagos Water Corporation were studied to evaluate raw, treated and effluent water quality. Sixteen parameters (pH, Turbidity, Electrical Conductivity (EC), Total Dissolved Solids (TDS), Total Alkalinity (TA), Total Hardness (TH), Calcium (Ca2+), Magnesium (Mg2+), Chloride (Cl−), Sulphate (SO4 2−), Nitrate (NO3 −), Phosphate (PO4 3−), Total Coliform (TC), Copper (Cu2+), Cadmium (Cd2+) and Lead (Pb2+) were determined for a period of three months (July–September 2018) using standard methods. The results showed that Cd was not detected; the TC exceeded the World Health Organization (WHO) limit while all other parameters were within the (WHO) guideline for drinking purposes with the exception of turbidity. The values of water quality index (WQI) designated 70.83% as excellent water, 20.83% as good water and 8.33% as poor water in respect to drinking uses. The Principal Component Analysis (PCA) extracts five components with eigenvalue >1.0 and accounts for 78.22% of the total variance. The associated health risks were estimated for adults and children. The hazard quotients (HQ) were greater than one indicating an overall health risk for adults and children.

Environmental analysis of chemicals and energy consumption in water treatment plants: case study of Oslo, Norway

2012 ◽  
Vol 12 (2) ◽  
pp. 200-211 ◽  
Author(s):  
G. Venkatesh ◽  
Helge Brattebø
Keyword(s):  
Water Quality ◽  
Global Warming ◽  
Energy Consumption ◽  
Water Treatment ◽  
Environmental Impacts ◽  
Quality Criteria ◽  
Water Treatment Plants ◽  
Environmental Life Cycle Assessment ◽  
Abiotic Depletion

This paper studies the trend in the consumption of energy and chemicals and the associated environmental impacts, for water treatment plants (WTPs) in Oslo, over the years between 2000 and 2009. The Norwegian Drinking Water Regulations stipulate that supplied water should comply with over 50 quality criteria. Abiding by the regulations and improving the water quality has its costs – economically and environmentally. Quality improvement entails, inter alia, the consumption of more chemicals, both in terms of quantity and variety, and a rise in energy consumption. In order to determine the environmental impacts of the consumption of chemicals and energy, an environmental life cycle assessment (LCA) was carried out. It was observed that the impacts of chemicals have increased dramatically after 2007, courtesy of a process upgrading at one of the WTPs. Except in the years 2004 and 2007, the impacts attributable to chemicals consumption have exceeded those due to energy consumption. Global warming is the key impact in both cases, though in the case of energy consumption, abiotic depletion and acidification are also significant.

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.

THE ASSESSMENT OF THE VARIATION OF PHYSICO-CHEMICAL SOURCES FOR DRINKING WATER QUALITY USING CHEMOMETRICS: A CASE STUDY AT WATER TREATMENT PLANTS IN KLANG VALLEY

2016 ◽  
Vol 78 (11) ◽  
Author(s):  
Manutha Appa Rwoo ◽  
Hafizan Juahir ◽  
Nor Malisa Roslan ◽  
Mohd Ekhwan Toriman ◽  
Azizah Endut ◽  
...  
Keyword(s):  
Water Quality ◽  
Heavy Metal ◽  
Drinking Water ◽  
Quality Parameters ◽  
Drinking Water Quality ◽  
Water Treatment Plants ◽  
Physico Chemical ◽  
Drinking Water Samples ◽  
Source Of Pollution

This case study characterizes the drinking water quality by using the multivariate technique. The spatial variation of the physico-chemical and heavy metals parameters toxicity with the drinking water quality based on 28 water treatment plants in Selangor, Malaysia from 2009 to 2012 was evaluated. The objectives of this study are to analyze the physio-chemical activities and heavy metals activities in the collected drinking water samples from the treatment plants, and to detect the source of pollution for the most revealing parameters. The discriminant analysis (DA) and the principal component analysis (PCA) are the chemometric techniques used to investigate the spatial variation of the most significant physico-chemical and heavy metal parameters of the drinking water samples. The classification matrix accuracy for standard mode of DA, forward stepwise and backward stepwise for the physico-chemical and heavy metal parameters are excellent. PCA highlighted 13 significant parameters out of 18 physico-chemical water quality parameters and 14 significant parameters out of 16 heavy metal parameters. PCA was carried out to identify the origin and source of pollution of each water quality parameters. For that reason, this study proves that chemometric method is the principle way to explain the characteristic of the drinking water quality.

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.

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 Comparison of bioindicator eukaryotes of activated sludge biocenoses on two water-treatment plants: a case study

2017 ◽  
Vol 16 (1) ◽  
pp. 54-60 ◽  
Author(s):  
Farida Y. Achmadulina ◽  
Rustem K. Zakirov ◽  
Elena S. Balymova ◽  
Vera Denisova ◽  
Taťjána Brovdyová ◽  
...  
Keyword(s):  
Waste Water ◽  
Chemical Composition ◽  
Water Treatment ◽  
Activated Sludge ◽  
Waste Water Treatment ◽  
High Water ◽  
Water Treatment Plants ◽  
The City ◽  
Main Factor

Abstract Activated sludge biocenoses were compared on waste-water treatment plants in the city of Kazan, Russian Federation and the city of Teplice, Czech Republic. Based on Palia-Kovnatski index, Acanthamoeba in Kazan, Epistylis in Teplice, and Acanthamoeba and Centropyxis were dominant genera in both plants. The major subdominant generas identified were Arcella, Opercularia and Aspidisca. This indicates high nitrification ability, high water purification potential and matured activated sludge. Chemical composition of the waste-water was identified as the main factor determining the sludge biocenoses diversity. Higher sludge biodiversity (Shannon, Margalef, and Sorensen indexes) was found in Kazan corresponding to more concentrated inflow water.

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