Flow analysis using RDDA method with actual usage in water distribution network

In the analysis of the water pipeline network, the amount of demand applied is assumed based on the valve being open 24 hours, unlike cases where water is supplied when the valve is opened and blocked when it is closed. As a result, existing analysis results and actual survey data show a lot of differences in hydraulic pressure and flow rate. Also, problems such as faulty outflow, lack of pumping capacity, low reservoir height, and failure to operate decompression facilities have been confirmed. In this paper, a real demand driven analysis method is proposed to solve these problems. First, a virtual flow control facility, a virtual low water column, and a virtual node are applied to the analytical model. In the next step, as the existing demand amount is used at the virtual node, if the water in the reservoir is below a certain level water is supplied from the flow control facility and the flow is shut off when the water level exceeds a certain level. This is a method to analyze the water pipeline network by supplying the usage amount.

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Applicability of Life CycleAssessment (LCA) to Water Pipeline Infrastructure ^|^mdash;Determining the life-cycle cost and life-cycle CO2 emissions of a water distribution network^|^mdash;

Journal of Japan Society of Civil Engineers Ser G (Environmental Research) ◽

10.2208/jscejer.69.ii_351 ◽

2013 ◽

Vol 69 (6) ◽

pp. II_351-II_358

Author(s):

Yasuhiro ARAI ◽

Akira KOIZUMI ◽

Hironari HORIKAWA ◽

Yutaro ONDA ◽

Bambang Bakri

Keyword(s):

Life Cycle ◽

Co2 Emissions ◽

Life Cycle Cost ◽

Water Distribution ◽

Distribution Network ◽

Water Distribution Network ◽

Water Pipeline

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A Distributed Computing Solution Based on Distributed Kalman Filter for Leak Detection in WSN-Based Water Pipeline Monitoring

Sensors ◽

10.3390/s20185204 ◽

2020 ◽

Vol 20 (18) ◽

pp. 5204

Author(s):

Valery Nkemeni ◽

Fabien Mieyeville ◽

Pierre Tsafack

Keyword(s):

Kalman Filter ◽

Distributed Computing ◽

Power Consumption ◽

Water Distribution ◽

Water Distribution Network ◽

Leak Detection ◽

Long Distance ◽

Physical Measurements ◽

Water Pipeline ◽

And Performance

Wireless Sensor Network (WSN) applications that favor more local computations and less communication can contribute to solving the problem of high power consumption and performance issues plaguing most centralized WSN applications. In this study, we present a fully distributed solution, where leaks are detected in a water distribution network via only local collaborations between a sensor node and its close neighbors, without the need for long-distance transmissions via several hops to a centralized fusion center. A complete approach that includes the design, simulation, and physical measurements, showing how distributed computing implemented via a distributed Kalman filter improves the accuracy of leak detection and the power consumption is presented. The results from the physical implementation show that distributed data fusion increases the accuracy of leak detection while preserving WSN lifetime.

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Use of Hydraulic Network Model for Evaluating Fire Flow Capacity of a Water Distribution Network

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.62-64.797 ◽

2009 ◽

Vol 62-64 ◽

pp. 797-801 ◽

Cited By ~ 1

Author(s):

O.C. Izinyon ◽

B.U. Anyata

Keyword(s):

Network Model ◽

Distribution System ◽

Water Distribution ◽

Fire Suppression ◽

Flow Analysis ◽

Fire Department ◽

Water Distribution Network ◽

Calibration Data ◽

Benin City ◽

Hydraulic Network

A WaterCAD hydraulic network model of the existing Ikpoba Hill Benin City water distribution system was constructed and calibrated for steady state simulation studies using the network’s physical, operational and calibration data. The model was then used for available fire flow analysis and system improvement design. Our study reveals that the existing network has available fire flow of O l/s and hence cannot provide needed flow for fire suppression. However, the proposed improved network with increased diameters of existing pipes and which also takes into account expected future growth has available fire flow of between 29.6l/s and 40l/s at the nodes in the network.On the basis of available fire flow at the nodes in the system, hydrant tagging, numbering and colour coding which can effectively increase the fire fighting ability of the fire department can be undertaken.

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Prediction of pipe failure rate in Tehran water distribution networks by applying regression models

Water Science & Technology Water Supply ◽

10.2166/ws.2018.137 ◽

2018 ◽

Vol 19 (3) ◽

pp. 695-702 ◽

Cited By ~ 5

Author(s):

Homayoun Motiee ◽

Sonya Ghasemnejad

Keyword(s):

Logistic Regression ◽

Statistical Models ◽

Poisson Regression ◽

Regression Models ◽

Water Distribution ◽

Water Distribution Network ◽

Distribution Networks ◽

Hydraulic Pressure ◽

Pipe Failure ◽

Exponential Regression

Abstract Four statistical models (linear regression, exponential regression, Poisson regression and logistic regression) applied to analyze the variables in pipe vulnerabilities with the objective of finding equations to predict probable future pipe accidents. The most effective variables in pipe failures are material, age, length, diameter and hydraulic pressure. To evaluate these models, the data collected in recent years in the water distribution network of district 1 in Tehran were used, with a total length of 582,702 m of pipes, and 48,500 consumers. The results demonstrate that among the four studied models, the logistic regression model is best able to give a good performance and is capable of predicting future accidents with a higher probability.

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Water distribution network simulation by optimization approaches

Water Science & Technology Water Supply ◽

10.2166/ws.2013.086 ◽

2013 ◽

Vol 13 (4) ◽

pp. 1063-1079 ◽

Cited By ~ 4

Author(s):

M. Soltanjalili ◽

O. Bozorg Haddad ◽

S. Seifollahi Aghmiuni ◽

M. A. Mariño

Keyword(s):

Distribution System ◽

Water Distribution ◽

Water Distribution System ◽

Flow Analysis ◽

Water Distribution Network ◽

Distribution Networks ◽

Pipe Breakage ◽

Failure Conditions ◽

Honey Bee Mating Optimization ◽

Entire Network

When a fire-flow condition occurs and a nodal demand is excessive or when a pipe breaks, a water distribution system (WDS) may temporarily become deficient and unable to satisfy all nodal demands. Thus, estimation of the influences of failure conditions on the network is needed. A method for analyzing the hydraulic condition of the network in such a situation is proposed. The method, which is constructed based on the amount of supply on each consumption node, is called node flow analysis (NFA). Given the limitations of the NFA method proposed earlier for determining optimal solutions, such as inflexibility of the approach toward more complicated problems and its time-consuming process, this paper presents the honey-bee mating optimization (HBMO) algorithm for maximizing the total supply of the Two-loop and Hanoi water distribution networks (WDNs) under a failure condition. The proposed method is much faster and simpler to use than the NFA method. Consequently, obtained results confirm the higher accuracy of the proposed method to conditions of WDNs under local pipe breakage. In addition, results make one aware of the effects of each pipe breakage on consumption nodes and in the entire network under two scenarios for maximizing total supply in the network.

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Low-cost failure sensor design and development for water pipeline distribution systems

Water Science & Technology ◽

10.2166/wst.2002.0588 ◽

2002 ◽

Vol 45 (4-5) ◽

pp. 207-215 ◽

Cited By ~ 2

Author(s):

A. Khan ◽

P.D. Widdop ◽

A.J. Day ◽

A.S. Wood ◽

S.R. Mounce ◽

...

Keyword(s):

Distribution Systems ◽

Water Distribution ◽

Low Cost ◽

Water Distribution Network ◽

Field Trials ◽

Design And Development ◽

Unusual Event ◽

Good Potential ◽

Water Pipeline ◽

Type Of Failure

This paper describes the design and development of a new sensor which is low cost to manufacture and install and is reliable in operation with sufficient accuracy, resolution and repeatability for use in newly developed systems for pipeline monitoring and leakage detection. To provide an appropriate signal, the concept of a “failure” sensor is introduced, in which the output is not necessarily proportional to the input, but is unmistakably affected when an unusual event occurs. The design of this failure sensor is based on the water opacity which can be indicative of an unusual event in a water distribution network. The laboratory work and field trials necessary to design and prove out this type of failure sensor are described here. It is concluded that a low-cost failure sensor of this type has good potential for use in a comprehensive water monitoring and management system based on Artificial Neural Networks (ANN).

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