Research on water quality comprehensive evaluation of water supply network using SOM

2009 ◽  
Author(s):  
Wenyan Wu ◽  
Kui Chang ◽  
Jinliang Gao ◽  
Min Zhang ◽  
Nana Li ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Supply ◽  
Comprehensive Evaluation ◽  
Supply Network ◽  
Water Supply Network

scholarly journals Influence of irregularity of water consumption on water age in a water supply network

2018 ◽  
Vol 44 ◽  
pp. 00132
Author(s):  
Ewa Ogiołda ◽  
Ireneusz Nowogoński
Keyword(s):  
Water Quality ◽  
Water Supply ◽  
Water Consumption ◽  
Hydraulic Model ◽  
Supply System ◽  
Supply Network ◽  
Water Age ◽  
Water Supply Network ◽  
Time Frames ◽  
System Water

The article presents an analysis of an existing water supply system. Water consumption in various time frames, i.e. a year, week and 24 hours, is shown. A hydraulic model was developed and, using the EPANET programme, calculations simulating its parameters carried out, accounting particularly for water age, which reflective of the water quality supplied to the recipients. The obtained results are the basis for assessing the operation of the system.

scholarly journals An interdisciplinary political ecology of drinking water quality. Exploring socio-ecological inequalities in Lilongwe’s water supply network

Geoforum ◽  
2017 ◽  
Vol 84 ◽  
pp. 138-146 ◽  
Author(s):  
Maria Rusca ◽  
Akosua Sarpong Boakye-Ansah ◽  
Alex Loftus ◽  
Giuliana Ferrero ◽  
Pieter van der Zaag
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Supply ◽  
Political Ecology ◽  
Drinking Water Quality ◽  
Supply Network ◽  
Water Supply Network

scholarly journals A Comparative Study on a Hydraulic and Water-Quality Analysis Method for Determining Rechlorination Injection Points for a Water-Supply Network

Water ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 697 ◽  
Author(s):  
Sang Myoung Lee ◽  
Ho Min Lee ◽  
Do Guen Yoo ◽  
Joong Hoon Kim
Keyword(s):  
Water Quality ◽  
Water Supply ◽  
Water Pressure ◽  
Pressure Head ◽  
Quality Analysis ◽  
Residual Chlorine ◽  
Supply Network ◽  
Water Quality Analysis ◽  
Water Supply Network ◽  
Proposed Model

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.

scholarly journals Fractal-Heuristic Method of Water Quality Sensor Locations in Water Supply Network

Water ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 832
Author(s):  
Kowalska Beata ◽  
Kowalski Dariusz ◽  
Hołota Ewa
Keyword(s):  
Water Quality ◽  
Water Supply ◽  
Environmental Protection Agency ◽  
Heuristic Method ◽  
Free Chlorine ◽  
Supply Network ◽  
Measuring Point ◽  
Calculated Concentration ◽  
Water Supply Network ◽  
Sensor Locations

The article presents a new methodology for the selection of the water quality monitoring sensor locations using the water quality model created by means of the EPANET 2.0 software (United States Environmental Protection Agency (USEPA), Durham, NC, USA). The model represents the propagation of free chlorine in a water supply network, in conjunction with the heuristic method, applying the elements of fractal geometry. In the first stage, a subarea is determined, while in the second, a specific node for the location of the measuring point is indicated. The process of determining the location is based on a ranking method, in which the usefulness of individual subareas and measuring nodes is determined by means of a formula taking into account the amount of water intake, the required level of water supply and the effects of a lack of water supply, as well as the calculated concentration of free chlorine. The application of the method requires the construction and calibration of a numerical model of free chlorine decay in the network, as well as the knowledge on the location of the objects of particular importance for the network users. The proposed method will be applied in an existing water supply network of approximately 50,000 recipients.

scholarly journals Changes to Water Quality in the Water Supply Network of Zielona Góra

2019 ◽  
Vol 29 (1) ◽  
pp. 92-101 ◽  
Author(s):  
Anita Jakubaszek ◽  
Justyna Mossetty
Keyword(s):  
Water Quality ◽  
Water Supply ◽  
Water Distribution ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Supply Network ◽  
Test Results ◽  
Water Supply Network ◽  
Prolonged Retention ◽  
The Impact

Abstract The article presents physiochemical parameter changes in water supply network of Zielona Góra. On the basis of the obtained test results, the impact of prolonged retention of water in the network on its quality was determined, at the measuring points located on the territory of Zielona Góra. It was shown that together with an increase in distance of measuring points from Water Treatment Plant, content of mainly iron, turbidity and colour increased too. In the results analysis, it was determined that retention time and water distribution are the most significant factors in the network contributing to deterioration of water quality at measuring points.

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