“…Prasad et al [7], Ostfeld and Salomons [8], Islam et al [9], Choi et al [10], and other research teams evaluated residual chlorine by addressing not only residual chlorine concentrations, but also the hydraulic performance of the water-supply system or additional water-quality assessment factors. Prasad et al [7] proposed a multi-purpose optimization method that minimized the total chlorine mass for injection (i.e., water-quality indicator) and simultaneously maximized the water-supply mass (i.e., hydraulic indicator) in an attempt to determine the location and operational methods (i.e., scheduling) of a rechlorination facility.…”
Section: Introductionmentioning
confidence: 99%
“…Using the WQI value as a basis, another study was conducted to determine an optimal rechlorination mass for injection points. Choi et al [10] analyzed the effects of residual chlorine in relation to rechlorination for water-quality improvement in the supply process. They set three assessment indices of decreasing residual chlorine concentrations between a water purification plant and pipe ends.…”
Water supply facilities are vulnerable to extreme weather events, such as droughts and floods. To establish a sustainable solution that resists accidents and disasters, a distributed system is required. To supply high-quality tap water using the existing water-supply network, rechlorination facilities must be installed to secure residual chlorine at the pipe end. In this study, a process is developed to determine the injection points and dosages of rechlorination using the latest pressure-driven analysis. The method was compared to the results of demand driven analysis methods. The proposed model was applied to P City in Korea to draw results. A detailed evaluation was performed to study how water pressure head and demand-based hydraulic and water quality analysis results impact the injection points and dosages of rechlorination. Thus, the existing demand-based model shows significant spatial deviations in the pressure head in the presence of water pressure drops, which subsequently lead to over-estimation of chlorine injection dosages for maintaining the concentration of residual chlorine. However, the proposed model involves a numerically validated theory and draws more reasonable results for hydraulic, water quality, and rechlorination dosages. The proposed model can be used as a decision-making tool based on hydraulic analysis for the supply of water of a stable quality.
“…Prasad et al [7], Ostfeld and Salomons [8], Islam et al [9], Choi et al [10], and other research teams evaluated residual chlorine by addressing not only residual chlorine concentrations, but also the hydraulic performance of the water-supply system or additional water-quality assessment factors. Prasad et al [7] proposed a multi-purpose optimization method that minimized the total chlorine mass for injection (i.e., water-quality indicator) and simultaneously maximized the water-supply mass (i.e., hydraulic indicator) in an attempt to determine the location and operational methods (i.e., scheduling) of a rechlorination facility.…”
Section: Introductionmentioning
confidence: 99%
“…Using the WQI value as a basis, another study was conducted to determine an optimal rechlorination mass for injection points. Choi et al [10] analyzed the effects of residual chlorine in relation to rechlorination for water-quality improvement in the supply process. They set three assessment indices of decreasing residual chlorine concentrations between a water purification plant and pipe ends.…”
Water supply facilities are vulnerable to extreme weather events, such as droughts and floods. To establish a sustainable solution that resists accidents and disasters, a distributed system is required. To supply high-quality tap water using the existing water-supply network, rechlorination facilities must be installed to secure residual chlorine at the pipe end. In this study, a process is developed to determine the injection points and dosages of rechlorination using the latest pressure-driven analysis. The method was compared to the results of demand driven analysis methods. The proposed model was applied to P City in Korea to draw results. A detailed evaluation was performed to study how water pressure head and demand-based hydraulic and water quality analysis results impact the injection points and dosages of rechlorination. Thus, the existing demand-based model shows significant spatial deviations in the pressure head in the presence of water pressure drops, which subsequently lead to over-estimation of chlorine injection dosages for maintaining the concentration of residual chlorine. However, the proposed model involves a numerically validated theory and draws more reasonable results for hydraulic, water quality, and rechlorination dosages. The proposed model can be used as a decision-making tool based on hydraulic analysis for the supply of water of a stable quality.
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