Assessment of surface water quality using hierarchical cluster analysis

Dabgerwal, Dheeraj Kumar; Tripathi, S. K.

doi:10.3126/ije.v5i1.14563

Cited by 21 publications

(9 citation statements)

References 20 publications

(20 reference statements)

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“…Telah dilakukan banyak penelitian tentang pengelompokan kualitas air sungai menggunakan analisis klaster dengan metode hirarki, di antaranya pengelompokan kualitas air Sungai Varuna di Varanasi, India (Dabgerwal & Tripathi, 2016), air Sungai Markanda, India (Garg, 2018), air Sungai Luan, Cina (Zhao & Cui, 2009), air Sungai Ganga, India (Dimri et al, 2021), dan air Sungai Muda, Malaysia (Azhar et al, 2015). Begitu pula penelitian pengelompokan kualitas air sungai dengan metode k-means, antara lain pengelompokan air sungai di Yogyakarta (Sukmawati, 2019) dan air Sungai Kreung Manee, Aceh Utara (Irfannur & Khairan, 2021), air Sungai Klang, Malaysia (Sharif et al, 2015), dan air Sungai Haihe, Cina (Zou et al, 2015).…”

Section: Pendahuluanunclassified

Analisis Klaster K-Means Terhadap Kualitas Air Sungai di Kota Surakarta, Jawa Tengah

2021

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Penelitian ini bertujuan untuk menafsirkan kumpulan data kualitas air pada Sungai Pepe, Sungai Anyar, Sungai Jenes, Sungai Kedung Jumbleng, Sungai Gajah Putih, Sungai Brojo, dan Sungai Premulung di Kota Surakarta, Jawa Tengah. Data diperoleh dari hasil pemantauan kualitas air yang dilakukan oleh Dinas Lingkungan Hidup Kota Surakarta di 13 titik lokasi pengambilan sampel pada tahun 2020. Terdapat 12 parameter yang digunakan yaitu TSS, TDS, pH, BOD, COD, DO, P, NO3-N, NH3, NO2-N, Total Coliform, dan Fecal Coliform. Dengan algoritma k-means diperoleh dua klaster dengan parameter pembeda yaitu Total Coliform dan Fecal Coliform. Dengan kandungan 3.790.050 MPN/100ml Total Coliform dan 604.400 MPN/100ml Fecal Coliform, Sungai Jenes Hilir mempunyai kualitas air yang lebih buruk dibandingkan sungai lainnya dalam hal kandungan pencemar Total Coliform dan Fecal Coliform.

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Section: Pendahuluanunclassified

Analisis Klaster K-Means Terhadap Kualitas Air Sungai di Kota Surakarta, Jawa Tengah

2021

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“…Only small parts of the area maintain the performance of pressure in range 60-80%. The global performance index of the networks was computed using Equations ( 1) and (2). So, the global performance index of pressure at the greatest consumption was 35.75%, this indicated the performance of the distribution system was low.…”

Section: Technical Performance Of Pressurementioning

confidence: 99%

“…Water is the most abundant natural resource and is a prime necessity for all living beings [1,2]. However, the need for potable water is not still satisfied and the potential is not yet expected.…”

Section: Introductionmentioning

confidence: 99%

Customer and Model Based Performance Evaluation of Water Distribution Systems: The case of Adama Town, Ethiopia

Desta

Befkadu

2020

IJEE

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The aim of this study was to evaluate the performance of the existing water supply system of Adama Town by considering direct and indirect performance measurements. The paper also investigates the application of technical performance index to evaluate the operational performance of the water distribution system and to easily identify the critical areas in the network. The evaluation carried out based on WaterNetGen tools an extension of EPANET to attain direct performance measurement and Minitab16 software to analyze primary data to achieved indirect performance measurement. Based on water tap flows result, most of the residences got water at night time and were not satisfied with the town water supply services. The greatest minimum slack pressure and velocity occurred in a small area of the network, and the global technical performance index of pressure and velocity were 35.75% and 46.19%, respectively.

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“…Dabgerwal and Tripathi [1] assessed the physicochemical quality of river Varuna in Varanasi, India. The study employed the Pearson correlation analysis and the Cluster analysis to assess the extent of the relationship among physicochemical parameters and to determine the sources of pollution in the river Varuna respectively.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Population growth and the standard of living in most developing countries have increased, resulting in increased demand for drinking water. On the other hand, factors such as accelerated pace of industrialization, the lack of environmental education and the overexploitation of natural resources have seriously affected water resources by increasing the pressure on urban hydrology [1]. These factors have deteriorated the quality of surface water for drinking and have caused serious damage to most surface water bodies.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Water Quality of Odor River, Anambra State

Ekwueme

Aronu

Otty

2020

AIR

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Aim: This study examined the physicochemical and bacteriological parameters of Odor River in Orumba North, Anambra State. The parameters considered were pH, turbidity, temperature, Dissolved Oxygen (DO), Alkalinity, total hardness, Sulphate ( ), Chloride, Calcium ( ) hardness, Magnesium ( ) hardness, Iron (Fe), Nitrate (NO3-), Conductivity, Total Dissolved Solids (TDS), Total coliform and Escherichia coli (E. coli). The objectives of the study were to assess the similarities that exist amongst the physicochemical and bacteriological parameters of Odor River in Orumba North, Anambra State. Also, to test whether water from Odor river is safe for drinking by the people of Orumba North and its environs. Methodology: The Cluster analysis and the one-sample T-test method were used to analyze the data obtained for this study. Results: The findings of the study revealed that the parameters can be grouped in two groups as follows: group A consists of pH, turbidity, temperature, Dissolved Oxygen (DO), Alkalinity, total hardness, Sulphate ( ), Chloride, Calcium ( ) hardness, Magnesium ( ) hardness, Iron (Fe), Nitrate (NO3-), and Conductivity while group B consists of Total Dissolved Solids (TDS), Total coliform and E.coli. The physicochemical parameters were found to impact significantly on the variation of the water quality at 5% significant level and their measures did not exceed the World Health Organization (WHO) standard. Further findings revealed that the bacteriological parameters such as the Escherichia Coli and Total Coliform do not significantly impact on the water quality variation of the river and their measures do not exceed the WHO standard. Conclusion: The physicochemical and bacteriological parameters of Odor River were found to be within the WHO Standard. However, the physicochemical parameters were found to impact on the water quality variation of the river while the bacteriological parameters do not impact on the variation of the water quality of the river. The implication of the physicochemical and bacteriological parameters not exceeding the WHO standard indicates no risk for the users of the river. Hence, water from Odor River is safe for human consumption and agricultural purposes.

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Assessment of surface water quality using hierarchical cluster analysis

Cited by 21 publications

References 20 publications

Analisis Klaster K-Means Terhadap Kualitas Air Sungai di Kota Surakarta, Jawa Tengah

Analisis Klaster K-Means Terhadap Kualitas Air Sungai di Kota Surakarta, Jawa Tengah

Customer and Model Based Performance Evaluation of Water Distribution Systems: The case of Adama Town, Ethiopia

Assessment of Water Quality of Odor River, Anambra State

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