Water Distribution Systems Analysis Research Articles

Water distribution system modelling of GIS-remote sensing and EPANET for the integrated efficient design

Abstract Urban settlement depends on water distribution networks for clean and safe drinking water. This research incorporates geographic information systems (GIS), remote sensing (RS), and hydraulic modelling software EPANET to analyse and construct water distribution systems in Bota town, India. Satellite images and hydrological data have been utilized for the management of the Bota town's water supply network, sources to cater the demand for urban centres. EPANET simulates hydraulic behaviour in the water distribution system under different operating situations. EPANET simulation shows network leaks, low pressure, and substantial head loss. These findings have advised for water distribution system improvements by analysing network shortcomings. Booster pumps, new pipelines, and repairing of existing leakages are examples of such improvements. GIS, RS, and EPANET provided a comprehensive water distribution system study and more accurate and efficient improvement identification. This study emphasizes the necessity of new technologies in water distribution system analysis and design. The study solves Bota town's water distribution system problems of low pressure, high head loss, and leaks utilizing GIS, RS, and EPANET. The findings of this research can help in enhancing the water delivery systems in other towns with comparable issues.

Towards an Understanding of Hydraulic Sensitivity: Graph Theory Contributions to Water Distribution Analysis

Water distribution systems (WDSs) are complex networks with numerous interconnected junctions and pipes. The robustness and reliability of these systems are critically dependent on their network structure, necessitating detailed analysis for proactive leak detection to maintain integrity and functionality. This study addresses gaps in traditional WDS analysis by integrating hydraulic measures with graph theory to improve sensitivity analysis for leak detection. Through case studies of five distinct WDSs, we investigate the relationship between hydraulic measures and graph theory metrics. Our findings demonstrate the collective impact of these factors on leak detection and system efficiency. The research provides enhanced insights into WDS operational dynamics and highlights the significant potential of graph theory to bolster network resilience and reliability.

Closure to “Analysis of Water Distribution System under Uncertainty Based on Genetic Algorithm and Trapezoid Fuzzy Membership”

Closure to “Analysis of Water Distribution System under Uncertainty Based on Genetic Algorithm and Trapezoid Fuzzy Membership”

Discussion of “Analysis of Water Distribution System under Uncertainty Based on Genetic Algorithm and Trapezoid Fuzzy Membership”

Discussion of “Analysis of Water Distribution System under Uncertainty Based on Genetic Algorithm and Trapezoid Fuzzy Membership”

Multi‐criteria analysis applied to ranking rehabilitation strategies of water distribution networks

Rehabilitation of water distribution systems is a complex task that water companies have to tackle continually to keep high‐quality service. The larger and more complex the network, the harder to make decisions about the network maintenance strategy to be implemented. Considering pipe replacement as a strategy for water network rehabilitation, this work presents a combination of water distribution system analysis and multi‐criteria analysis to rank alternatives for pipe replacement. A set of eight performance criteria is used to evaluate the rehabilitation alternatives. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is herein adopted to rank the solutions, coupled with a final sensitivity analysis on criteria weights. The obtained results point out as pipe replacement is an essential strategy for rehabilitation since the eight evaluation criteria are improved. The sensitivity analysis shows the best solutions' robustness, with just a few variations in their position in the ranking. The most frequent best solution is then hydraulically evaluated, showing the real benefits of pipe replacement in terms of pressure deficit reduction.

Assessing the performances and transferability of graph neural network metamodels for water distribution systems

Abstract Metamodels accurately reproduce the output of physics-based hydraulic models with a significant reduction in simulation times. They are widely employed in water distribution system (WDS) analysis since they enable computationally expensive applications in the design, control, and optimisation of water networks. Recent machine-learning-based metamodels grant improved fidelity and speed; however, they are only applicable to the water network they were trained on. To address this issue, we investigate graph neural networks (GNNs) as metamodels for WDSs. GNNs leverage the networked structure of WDS by learning shared coefficients and thus offering the potential of transferability. This work evaluates the suitability of GNNs as metamodels for estimating nodal pressures in steady-state EPANET simulations. We first compare the effectiveness of GNN metamodels against multi-layer perceptrons (MLPs) on several benchmark WDSs. Then, we explore the transferability of GNNs by training them concurrently on multiple WDSs. For each configuration, we calculate model accuracy and speedups with respect to the original numerical model. GNNs perform similarly to MLPs in terms of accuracy and take longer to execute but may still provide substantial speedup. Our preliminary results indicate that GNNs can learn shared representations across networks, although assessing the feasibility of truly general metamodels requires further work.

Research on Seismic Connectivity Reliability Analysis of Water Distribution System Based on CUDA

To improve the seismic connectivity reliability (SCR) analysis efficiency of water distribution systems (WDS) based on Monte Carlo (MC) simulation, the quasi-Monte Carlo (QMC) method sampled by a low-discrepancy sequence is applied. Furthermore, a parallel algorithm combined with the breadth-first search algorithm for SCR analysis of WDS based on the QMC method and Compute Unified Device Architecture (CUDA) platform was proposed. A city WDS was taken as a computational example, the accuracy and efficiency of the traditional MC algorithm and parallel algorithm were compared, and the influence of the Sobol sequence and pseudo-random number sequence was analysed. The analysis results show that when 1,000,000 simulations are performed, the maximum error of the calculation results of the two methods is 0.2%, and the parallel method can obtain a six-fold speedup ratio compared with the serial method, indicating that the proposed parallel method is correct, meets the accuracy requirements, and helps to improve the SCR analysis efficiency. When the number of simulations is the same, the simulation results based on the Sobol sequence are more accurate than those based on the pseudo-random number sequence. The proposed parallel method also achieves a good acceleration effect in the SCR analysis of large-scale WDS.

CFD Investigations of Water Supply and Distribution Systems of Ancient Old and New World Archaeological Sites to Recover Ancient Water Engineering Technologies

New to archaeological studies is the field of paleohydrology characterized by the use of modern hydraulic engineering and computational fluid dynamics (CFD) analysis of ancient urban and agricultural water supply and distribution systems. Examples are presented in nine chapters of CFD investigations of old and new world archaeological sites (several of which are World Heritage sites) using FLOW-3D CFD software to bring forward new discoveries revealing the depth of ancient water engineers’ knowledge and creativity not previously noted in the archaeological literature. As modern analysis methods reveal technical details of ancient water systems, equivalent ancient technologies exist that were used in the design and operation of ancient water systems, albeit in formats, texts, and origins yet to be discovered. The nine chapters to follow present brief summaries of ancient sites’ water systems and the use of CFD and modern hydraulic engineering methods to discover the water engineering knowledge base used by ancient water engineers. Results are new revelations unknown in the current literature of ancient sites. Paleohydrology studies presented serve to add a further dimension to the history of ancient new and old world archaeological sites by bringing forward added details of water engineering projects accomplished by ancient engineers.

Simulation and assessment of water supply network for specified districts at Najaf Governorate

AbstractThis study aims to simulate and assess the hydraulic characteristics and residual chlorine in the water supply network of a selected area in Al-Najaf City using WaterGEMS software. Field and laboratory work were conducted to measure the pressure heads and velocities, and water was sampled from different sites in the network and then tested to estimate chlorine residual. Records and field measurements were utilized to validate WaterGEMS software. Good agreement was obtained between the observed and predicted values of pressure with RMSE range between 0.09–0.17 and 0.08–0.09 for chlorine residual. The results of the analysis of water distribution systems (WDS) during maximum demand hours showed that the pumps unit capability cannot cover the high water demand during that time and resulted in a loss of pressure values, which were ranged between 0.2 and 2.1 bar. Moreover, the simulated results of the residual chlorine levels were within the permissible limits of 0.4–0.7 ppm, in different locations in the network. Providing good quality and adequate water supply is an important component for human life development. Modeling WDS is an efficient method of gaining a true understanding of the functioning of the network and determining the factors and conditions affecting the performance of the network.

Overview and Recommendations for Analysis of Water Distribution Systems Based on Performance Indicators

Abstract The protection of the water sources represents a topic that concerns humanity worldwide. Hence, the decrease of the water losses that occurs in water distribution networks during its overall operational lifetime, is an important issue for water operators and for researchers at theoretical and experimental level. Over the last years progresses have been made on the evaluation and analysis methods in order to eliminate the water losses. Among these methods, the evaluation of the water distribution systems, made on performance indicators by the use of the water balance, is the most current. Thus, the calculated value of each performance indicator and the analysis of these values will lead to the identification of the real problems within the water distribution system. As a result, this analysis has to be the first step in the planning phase of a new project and in the same time, it can serve as a pattern for any water distribution systems in order to decrease the water losses at lower costs.

Pressure Driven analysis of water distribution systems for preventing siphonic flow

The analysis of the water distribution network is complicated and requires several assumptions to simplify its problem definition. Demand Driven Analysis (DDA) is typically used to analyse the network assuming that all network nodes can deliver the required demand regardless of the available pressure. In the case of analysing an existing network under deficit condition such as pipe breakage or extra demand required for firefighting, assumptions used to simulate the network with DDA is not valid. Node Head Flow Relationship (NHFR) should be considered through Pressure Driven Analysis (PDA) to analyse the network. Most PDA methods assume that the networks are airtight which means that if the pressure at any demand node is negative, delivered demand will be equal to zero and the flow is permitted in the connected pipes (Siphonic flow). This assumption is hydraulically incorrect since the air is allowed to get into the connected pipes and prevent their flow leading to node isolation. In this paper, a new Pressure Driven Analysis to Prevent Siphonic Flow (PDA-SF) approach is proposed to analyze the network under deficit conditions and consider isolating the nodes that show available head less than node elevation. The PDA-SF was tested and compared to previous methods in four case studies under steady state analysis or extended period simulation. The case studies cover also different network conditions whether node isolation is needed or not. The PDA-SF was able to solve different networks where other methods failed to achieve the required demand or service pressure. The new PDA-SF method shall enable peers and modelers to better simulate and analysis water distribution networks.

Eco-efficiency analysis of water distribution system flushing into a containment Pond

For a salt or other conservative contaminant contamination event in a water distribution system, opening fire hydrants to flush the system is currently an accepted decontamination method. However, all the contaminated flushed water is discharged to the local surroundings of the fire hydrants and imposes an environmental impact. Another system decontamination alternative can be using a containment pond to catch the contaminated water. To reduce environmental impacts of flushing salt from a water distribution system a comparative life cycle assessment study has been performed for both conventional flushing and for flushing contaminated water into a containment pond. This was performed using SimaPro software for both of these decontamination options and the impacts have been assessed using the IMPACT 2002+ methodology. The results show that environmental impacts can be reduced by 25% for rural areas, 69% for urban roads, 61% for urban lawns, and 64% for mixed land use. In addition, a sensitivity analysis reveals the two most sensitive variables resulting in the finding that a 10% change in the time needed for system decontamination led to a 10% change in environmental impact and a 10% change in the area of land exposed to contaminated water discharge led to an 8% change in environmental impact.

Analysis and Redesign of 24/7 Water Distribution Network using Watergem Software

Abstract: A continuous water supply system has generated significant interest in India due to its many advantages. Also it is useful for conserving water and its quality. Now-a-days demand for drinking water is increasing day by day with corresponding increase in population. The present study shows the remodelling of existing network and also designing the water distribution network using a programming tool, which performs the extended period simulation of hydraulic and water quality behaviour within the pressurized network of pipes called watergems. This paper demonstrates the use of watergems for the hydraulic study of the distribution network. The studies present the hydraulic design and analysis of rural water distribution system (WDS) for Nighoj village of the state of Maharashtra, India. Water distribution system is designed for this study for population estimated for future 30 years watergems software have been used and the results are compare to determine the economical size of pipes for distribution system. The economical size of pipes of water display system is designed by considering the constraints; residual pressure at each node velocity of flow in pipe, head loss in pipes, material of pipes, elevated service reservoir level, peak factor and available commercial pipe diameter

Evaluation of Hydraulic Performances Modeling of Water Distribution Systems and Physicochemical Water Quality Analysis, in the Case of Dangila Town, Amhara Region, Ethiopia

Evaluation of Hydraulic Performances Modeling of Water Distribution Systems and Physicochemical Water Quality Analysis, in the Case of Dangila Town, Amhara Region, Ethiopia

Machine Learning‐Based Surrogate Modeling for Urban Water Networks: Review and Future Research Directions

AbstractSurrogate models replace computationally expensive simulations of physically‐based models to obtain accurate results at a fraction of the time. These surrogate models, also known as metamodels, have been employed for analysis, control, and optimization of water distribution and urban drainage systems. With the advent of machine learning (ML), water engineers have increasingly resorted to these data‐driven techniques to develop metamodels of urban water networks (UWNs). In this article, we review 31 recent articles on ML‐based metamodeling of UWNs to outline the state‐of‐the‐art of the field, identify outstanding gaps, and propose future research directions. For each article, we critically examined the purpose of the metamodel, the metamodel characteristics, and the applied case study. The review shows that current metamodels suffer several drawbacks, including (a) the curse of dimensionality, hindering implementation for large case studies; (b) black‐box deterministic nature, limiting explainability and applicability; and (c) rigid architecture, preventing generalization across multiple case studies. We argue that researchers should tackle these issues by resorting to recent advancements in ML concerning inductive biases, robustness, and transferability. Recently developed neural network architectures, which extend deep learning methods to graph data structures, are preferred candidates for advancing surrogate modeling in UWNs. Furthermore, we foresee increasing efforts for complex applications where metamodels may play a fundamental role, such as uncertainty analysis and multi‐objective optimization. Lastly, the development and comparison of ML‐based metamodels can benefit from the availability of new benchmark datasets for urban drainage systems and realistic complex networks.

Analysis of water distribution systems and head losses using the hardy-cross method

Distribution services have not been running optimally at PDAM Tirta Meulaboh, that This study aims to determine the level of pressure loss in the PDAM’s clean water pipe network. The method used in this research is a quantitative descriptive survey method supported by primary data and secondary data. Calculation of the amount of pressure loss using the hardy cross method. The results showed that the observed value of discharge with the highest water consumption was at 18:00 WIB at 0.172 m3 / person, while for the lowest use was at 14:00 WIB at 0.119 m3 / person. It can be concluded that this time is the peak time for water consumption. High-pressure water where the maximum average is 0.00000599 m, because high pressure is not adequate. The maximum loss of high pressure is found in the loop (VII) of 2.57025 m or 0.257025 atm, for the minimum pressure there is in the loop (VI) of - 0.00024 m or -0.000024 atm. It is necessary to re-evaluate the distribution network system by PDAM such as surveys to find out the causes of high water pressure losses to customers such as surveys for water leaks in distribution pipes, replacing old pipes.

Eco-Efficiency Analysis of Water Distribution System Flushing into a Containment Pond

Eco-Efficiency Analysis of Water Distribution System Flushing into a Containment Pond

Reliability analysis of complex water distribution systems: the role of the network connectivity and tanks

Abstract A reliable water distribution network (WDN) can provide an adequate supply service to customers under both normal and abnormal working conditions. The WDN reliability analysis, therefore, is a keystone to improve the supply service efficiency. Strategies for reliability analysis are usually proved on small WDNs, which do not compare with large real complex systems in terms of number of water tanks, pressure reduction valves, variable speed pumps, controlled devices and possible alternative water supply schemes. The topological changes due to pipeline interruptions impact on emptying–filling of water tanks and network pressure status. This work proposes a two-level procedure for mechanical reliability assessment, suited for large real WDNs. It leverages a path/connectivity-based approach to set up reliability indicators for global-level analysis and local screening of the most critical scenarios. The employed advanced hydraulic model includes the automatic detection of topological changes and the robust modelling of water level in tanks using the generalized global gradient algorithm. The extended period simulation enables the reliability assessment of alternative water supply schemes and the sensitivity of tanks and controlled devices to single failure events. The procedure is demonstrated on a real complex network, being consistent with the ongoing digital transition in the WDN management sector.

Analysis of water distribution system at Alang-Alang Lebar

Municipal Waterworks Tirta Musi manages and supplies clean water to Palembang city. The distribution network system of Municipal Waterworks Tirta Musi is expected to distribute water sufficiently to all customers in the 18 districts this Municipal Waterworks serves. However, it was found that in Alang-alang Lebar service unit water was not delivered sufficiently. Moreover, Alang-alang Lebar service unit plans to improve the service so that the system will serve increasing customers until the next 20 years. This study aims to analyze the water distribution system to find the cause of insufficient water in Alang-Alang Lebar; predicting the number of customers in the next 20 years, and propose some improvements in the distribution system. A computer program EPANET was used to conduct the simulations on pipe networks. Data required for hydraulic analysis using EPANET was obtained from Municipal Waterworks Tirta Musi. The result shows that head pressure was the main problem in Alang-Alang Lebar. Adding discharge of pump reservoir, enlarging pipe diameters in some parts will improve the distribution performance. The proposed design of the distribution system will be able to deliver water for the next 20 years with an increasing number of the customer.

Analysis of Water Distribution System under Uncertainty Based on Genetic Algorithm and Trapezoid Fuzzy Membership

AbstractIn most studies of hydraulic simulation of water distribution systems (WDS), the uncertain input parameters such as nodal demands, pipe roughness coefficients, pipe diameters, water levels ...