Developing Water Quality Index to Assess the Quality of the Drinking Water

Mohammed, Shahad; Abdulrazzaq, Khalid Adel

doi:10.28991/cej-03091164

Cited by 23 publications

(19 citation statements)

References 18 publications

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“…Different variables can be named as water quality variables such as dissolved oxygen (DO), chlorophyll concentration, temperature, surface water temperature, salinity, turbidity, etc. Depending on the purpose of studies, these parameters can be modeled and simulated as individual water quality parameters or as a combined index of water quality (Mohammed & Abdulrazzaq, 2018) as well. Water quality modeling and forecasting are complex procedures due to nonlinear relationships among variables.…”

Section: Introductionmentioning

confidence: 99%

Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll a concentration in coastal waters

Shamshirband

Nodoushan

Adolf

et al. 2018

Engineering Applications of Computational Fluid Mechanics

136

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Section: Introductionmentioning

confidence: 99%

Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll a concentration in coastal waters

Shamshirband

Nodoushan

Adolf

et al. 2018

Engineering Applications of Computational Fluid Mechanics

136

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“…They used an artificial neural network model, which was found to provide high prediction efficiency; however, other important parameters, such as chloride and pH, affected the model prediction. Mohammed and Abdulrazzaq [13] developed another WQI method to evaluate the quality of drinking water based on eight water quality parameters. The suggested classifications in this method are excellent, good, acceptable, poor, and very poor.…”

Section: Water Quality Deterioration In Distribution Systemsmentioning

confidence: 99%

Simulation of Pressure Head and Chlorine Decay in a Water Distribution Network: A Case Study

Alsaydalani¹

2019

TOCIEJ

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Background: The main issue in the operation of water distribution systems arises from the pressure deficiency resulting from events such as loss from leaks and bursts and loss of hydraulic capacity due to deterioration of aging water pipes. Such conditions affect the hydraulic performance of the system and the quality of water. Objective This paper investigates the hydraulic and water quality behavior of a selected water distribution network in Makkah city using the EPANET software. Methodology: The system was simulated under different hydraulic conditions including a loss of hydraulic capacity with pipe age and the presence of 30% leakage in the network over varying time conditions by employing extended period simulation models. Results and Conclusion: The results show that increasing pipe roughness with pipe age resulted in significantly low-pressure heads at the end of the network-particularly during peak demand hours. It also resulted in an increase in the rate of chlorine decay. Leakage in the network significantly affects the pressure head, resulting in pressure deficiency at some points in the network to below the minimum requirement during regular operation. The highest leakage rate occurs at periods of low demand where the pressure head in the network is high.

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“…Zhang (2019) illustrated the global trends and the most common approach used in water quality assessment, the Water Quality Index (WQI). For instance, Mohammed and Abdulrazzaq (2018) conducted a case study to assess the water quality using the WQI approach. However, the modelling chosen for this study is a simple statistical model based on field data since the lake has not properly been inspected based on the latest water quality modelling techniques, especially by the statistical methods.…”

Section: Introductionmentioning

confidence: 99%

A Statistical Technique for Modelling Dissolved Oxygen in Salt Lakes

et al. 2021

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An integrated linear regression technique was developed and validated to model dissolved oxygen in salt lakes by using R software and based on data from Sawa Lake, Iraq. The technique helps understand and evaluate salty aquatic ecosystems in the presence of water quality data gaps. The technique involved selecting the important water quality parameters that have significant statistical relationship with dissolved oxygen. In order to make the regression development simpler, the validation approach was incorporated with the model. Linearity, homogeneity, normality, outliers, and influential data points were verified. The simulation approach was also capable of displaying the interaction between the selected water quality parameters and the other insignificant parameters. The statistical analysis results indicated that dissolved oxygen in salt lakes is a function of total dissolved solids. The developed model represented dissolved oxygen with R-squared of 90.73% and p-value of 1.08E-06. Furthermore, the model results showed that the influence of salty ions on dissolved oxygen/total dissolved solids model is the same. It was found that temperature has a significant impact on the developed dissolved oxygen model. In addition, the model simulation revealed that salt melting surrounding the lake due to temperature variation during the year cycle

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Developing Water Quality Index to Assess the Quality of the Drinking Water

Cited by 23 publications

References 18 publications

Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll a concentration in coastal waters

Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll a concentration in coastal waters

Simulation of Pressure Head and Chlorine Decay in a Water Distribution Network: A Case Study

A Statistical Technique for Modelling Dissolved Oxygen in Salt Lakes

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