Relevant bibliographies by topics / Water Distribution Network

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Water Distribution Network'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 September 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Water Distribution Network.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Water Distribution Network"

1

Parikh, Urmi, B. M. Vadher B. M. Vadher, and Dr P. G. Agnihotry Dr. P. G. Agnihotry. "Study of Water Distribution Pipe Network Using Epanet2.0." Global Journal For Research Analysis 3, no. 4 (June 15, 2012): 214–16. http://dx.doi.org/10.15373/22778160/apr2014/75.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Joshi, Maulik, Shilpa Chavda, Dharmesh Rajyaguru, and Soham sarvaiya. "Design of Water Distribution Supply Network For Kuchhadi Village." Paripex - Indian Journal Of Research 3, no. 2 (January 15, 2012): 94–97. http://dx.doi.org/10.15373/22501991/feb2014/29.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Vaabel, J., T. Koppel, L. Ainola, and L. Sarv. "Capacity reliability of water distribution systems." Journal of Hydroinformatics 16, no. 3 (November 13, 2013): 731–41. http://dx.doi.org/10.2166/hydro.2013.040.

Full text
Abstract:
Hydraulic power capacity of the water distribution network (WDN) is analyzed, and energetically maximum flows in pipes and networks are determined. The concept of hydraulic power for the analysis of WDN characteristics is presented. Hydraulic power capacity characterizes the WDN capacity to meet pressure and flow demands. A capacity reliability indicator called the surplus power factor is introduced for individual transmission pipes and for distribution networks. The surplus power factor s that characterizes the reliability of the hydraulic system can be used along with other measures developed to quantify the hydraulic reliability of water networks. The coefficient of the hydraulic efficiency ηn of the network is defined. A water distribution system in service is analyzed to demonstrate the s and ηn values in the water network in service under different demand conditions. In order to calculate the s factor for WDNs, a network resistance coefficient C was determined. The coefficient C characterizes overall head losses in water pipelines and is a basis for the s factor calculation. This paper presents a theoretical approach to determine the coefficient C through matrix equations.
APA, Harvard, Vancouver, ISO, and other styles
4

Masuda, Naoki, and Fanlin Meng. "Dynamical stability of water distribution networks." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 475, no. 2230 (October 2019): 20190291. http://dx.doi.org/10.1098/rspa.2019.0291.

Full text
Abstract:
Water distribution networks are hydraulic infrastructures that aim to meet water demands at their various nodes. Water flows through pipes in the network create nonlinear dynamics on networks. A desirable feature of water distribution networks is high resistance to failures and other shocks to the system. Such threats would at least transiently change the flow rate in various pipes, potentially undermining the functionality of the whole water distribution system. Here we carry out a linear stability analysis for a nonlinear dynamical system representing the flow rate through pipes that are interconnected through an arbitrary pipe network with reservoirs and consumer nodes. We show that the steady state is always locally stable and develop a method to calculate the eigenvalue that corresponds to the mode that decays the most slowly towards the equilibrium, which we use as an index for resilience of the system. We show that the proposed index is positively correlated with the recovery rate of the pipe network, which was derived from a realistic and industrially popular simulator. The present analytical framework is expected to be useful for deploying tools from nonlinear dynamics and network analysis in the design, resilience management and scenario testing of water distribution networks.
APA, Harvard, Vancouver, ISO, and other styles
5

Kleiner, Y., B. J. Adams, and J. S. Rogers. "Water Distribution Network Renewal Planning." Journal of Computing in Civil Engineering 15, no. 1 (January 2001): 15–26. http://dx.doi.org/10.1061/(asce)0887-3801(2001)15:1(15).

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Bhave, Pramod R. "Calibrating Water Distribution Network Models." Journal of Environmental Engineering 114, no. 1 (February 1988): 120–36. http://dx.doi.org/10.1061/(asce)0733-9372(1988)114:1(120).

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Hoțupan, Anca, Roxana Mare, and Adriana Hădărean. "Water Loss Reduction in Water Distribution Networks. Case Study." Journal of Applied Engineering Sciences 9, no. 1 (May 1, 2019): 73–80. http://dx.doi.org/10.2478/jaes-2019-0009.

Full text
Abstract:
Abstract Water losses on the potable water distribution networks represent an important issue; on the one hand, water loss does not bring money and on the other hand, they modify water flow and pressure distribution on the entire system and this can lead to a cut-off of the water supply. A stringent monitoring of the water distribution network reduces considerably the water losses. The appearance of a leakage inside the distribution network is inevitable in time. But very important is its location and repair time – that are recommended to be as short as possible. The present paper analyses the hydraulic parameters of the water flow inside a supply pipe of a looped network that provides potable water for an entire neighbourhood. The main goals are to optimize these parameters, to reduce water losses by rigorous monitoring and control of the service pressure on the supply pipe and to create a balance between pressure and water flow. The presented method is valid for any type of distribution network, but the obtained values refer strictly to the analysed potable water distribution looped network.
APA, Harvard, Vancouver, ISO, and other styles
8

Misiunas, D., J. Vítkovský, G. Olsson, M. Lambert, and A. Simpson. "Failure monitoring in water distribution networks." Water Science and Technology 53, no. 4-5 (February 1, 2006): 503–11. http://dx.doi.org/10.2166/wst.2006.154.

Full text
Abstract:
An algorithm for the burst detection and location in water distribution networks based on the continuous monitoring of the flow rate at the entry point of the network and the pressure at a number of points within the network is presented. The approach is designed for medium to large bursts with opening times in the order of a few minutes and is suitable for networks of relatively small size, such as district metered areas (DMAs). The burst-induced increase in the inlet flow rate is detected using the modified cumulative sum (CUSUM) change detection test. Based on parameters obtained from the CUSUM test, the burst is simulated at a number of burst candidate locations. The calculated changes in pressure at the pressure monitoring points are then compared to the measured values and the location resulting in the best fit is selected as the burst location. The EPANET steady-state hydraulic solver is utilised to simulate the flows and pressures in the network. A sensitivity-based sampling design procedure is introduced to find the optimal positions for pressure monitoring points. The proposed algorithm is tested on a case study example network and shows potential for burst detection and location in real water distribution systems.
APA, Harvard, Vancouver, ISO, and other styles
9

Kourbasis, Nikolaos, Menelaos Patelis, Stavroula Tsitsifli, and Vasilis Kanakoudis. "Optimizing Water Age and Pressure in Drinking Water Distribution Networks." Environmental Sciences Proceedings 2, no. 1 (September 5, 2020): 51. http://dx.doi.org/10.3390/environsciproc2020002051.

Full text
Abstract:
Water distribution networks suffer from high levels of water losses due to leaks and breaks, mainly due to high operating pressure. One of the most well-known methods to reduce water losses is pressure management. However, when the operating pressure in a water distribution network reduces, the time the water stays within the network (called water age) increases. Increased water age means deteriorated water quality. In this paper, water pressure in relation to water age is addressed in a water distribution network in Greece. Using simulation and optimization tools, the optimum solution is found to reduce water age and operating pressure at the same time. In addition, District Metered Areas are formed and water age is optimized.
APA, Harvard, Vancouver, ISO, and other styles
10

Candelieri, Antonio, Davide Soldi, and Francesco Archetti. "NETWORK ANALYSIS FOR RESILIENCE EVALUATION IN WATER DISTRIBUTION NETWORKS." Environmental Engineering and Management Journal 14, no. 6 (2015): 1261–70. http://dx.doi.org/10.30638/eemj.2015.136.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Water Distribution Network"

1

Akkas, Izzet Saygin. "Reliability Based Water Distribution Network Design." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607830/index.pdf.

Full text
Abstract:
The need of water and the limited sources, force the researchers to find the most economical and feasible solution in the design of a water distribution network. In this study, reliability and optimization of a water distribution network are taken into account together in the design stage of the network. The relationship between reliability of a water distribution network and its cost is examined during the design of a water distribution network. A methodology for deciding the reliability level of the selected design is proposed by examining the reliability-cost relationship. The design alternatives for the case study area are obtained by the aid of a commercially available software WADISO employing partial enumeration optimization technique. The reliability value for each of the design alternative is calculated according to Misirdali (2003)&rsquo
s adaptation based on the methodology proposed by Bao and Mays (1990) by the aid of a hydraulic network solver program HapMam prepared by Nohutç
u (2002). For purposes of illustration, the skeletonized form of Ankara Water Distribution Network subpressure zone (N8-1) is taken as the case study area. The methodology in this study, covering the relation between the reliability and the cost of a water distribution network and the proposed reliability level can be used in the design of new systems.
APA, Harvard, Vancouver, ISO, and other styles
2

Keles, Gultekin. "Water Distribution Network Design By Partial Enumeration." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606816/index.pdf.

Full text
Abstract:
Water distribution networks are being designed by traditional methods based on rules-of-thumb and personal experience of the designer. However, since there is no unique solution to any network design, namely there are various combinations of pipes, pumps, tanks all of which satisfy the same pressure and velocity restrictions, it is most probable that the design performed by traditional techniques is not the optimum one. This study deals how an optimization technique can be a useful tool for a designer during the design to find a solution. The method used within the study is the partial enumeration technique developed by Gessler. The technique is applied by a commercially available software, i.e. WADISO SA. The study is focused on discrepancies between a network designed by traditional techniques and the same network designed by partial enumeration method. Attention is given to steps of enumeration, which are basically grouping of pipes, candidate pipe size and price function assignments, to demonstrate that the designers can control all the phases of optimization process. In this respect, special attention is given to price functions to show the effect of them on the result. The study also revealed that the cost of fitting materials cannot be included in the price function although it may have significant effect in a system composed of closely located junctions. The results obtained from this study are useful to show that although optimization methods do not provide a definite solution
partial enumeration method can assist designers to select the optimum system combination.
APA, Harvard, Vancouver, ISO, and other styles
3

Gupta, Gagan. "Monitoring Water Distribution Network using Machine Learning." Thesis, KTH, Nätverk och systemteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-221832.

Full text
Abstract:
Water is an important natural resource. It is supplied to our home by water distribution network thatis owned and maintained by water utility companies. Around one third of water utilities across the globereport a loss of 40% of clean water due to leakage. The increase in pumping, treatment and operationalcosts are pushing water utilities to combat water loss by developing methods to detect, locate, and xleaks. However, traditional pipeline leakage detection methods require periodical inspection with humaninvolvement, which makes it slow and inecient for leakage detection in a timely manner. An alternativeis on-line, continuous, real-time monitoring of the network facilitating early detection and localization ofthese leakages. This thesis aims to nd such an alternative using various Machine Learning techniques.For a water distribution network, a novel algorithm is proposed based on the concept of dominantnodes from graph theory. The algorithm nds the number of sensors needed and their correspondinglocations in the network. The network is then sub-divided into several leakage zones, which serves as abasis for leak localization in the network. Thereafter, leakages are simulated in the network virtually,using hydraulic simulation software. The obtained time series pressure data from the sensor nodes ispre-processed using one-dimensional wavelet series decomposition by using daubechies wavelet to extractfeatures from the data. It is proposed to use this feature extraction procedure at every sensor nodelocally, which reduces the transmitted data to the central hub over the cloud thereby reducing the energyconsumption for the IoT sensor in real world.For water leakage detection and localization, a procedure for obtaining training data is proposed,which serves as a basis for recognition of patterns and regularities in the data using supervised Machinelearning techniques such as Logistic Regression, Support Vector Machine, and Articial Neural Network.Furthermore, ensemble of these trained model is used to build a better model for leakage detection andits localization. In addition, Random Forest algorithm is trained and its performance is compared tothe obtained ensemble of earlier models. Also, leak size estimation is performed using Support VectorRegression algorithm.It is observed that the sensor node placement using proposed algorithm provides a better leakage localizationresolution than random deployment of sensor. Furthermore, it is found that leak size estimationusing Support Vector Regression algorithm provides a reasonable accuracy. Also, it is noticed that RandomForest algorithm performs better than the ensemble model except for the low leakage scenario. Thus,it is concluded to estimate the leak size rst, based on this estimation for small leakage case ensemblemodels can be applied while for large leakage case only Random Forest can be used.
Vatten ar en viktig naturresurs. Den levereras till vart hem via vattendistributionsnatet, som ags och underhalls av vattenforetag. Omkring en tredjedel av vattenforetagen over hela varlden rapporterar en forlustpa 40 % rent vatten pa grund av lackage. Okningen av pumpnings-, behandlings- och driftskostnader drivervattenforsorjningen till att bekampa vattenforluster genom att utveckla metoder for att upptacka, lokaliseraoch xa lackor. Emellertid kraver traditionella pipeline-detekteringsmetoder periodisk inspektion medstor skala mansklig inblandning, vilket gor det langsamt och ineektivt for lackage-detektion i tid. Ettalternativ ar on-line, kontinuerlig, realtidsovervakning av natverket som underlattar tidig detektering ochlokalisering av dessa lackage. Avhandlingen syftar till att hitta ett sadant alternativ med hjalp av olikamaskinlasningstekniker.For ett vattendistributionsnat foreslas en ny algoritm baserad pa begreppet dominerande noder frangrafteori. Algoritmen nner ut hur manga sensorer som behovs och deras motsvarande platser i natverket.Natverket delas sedan in i era lackagezoner, som utgor grunden for lackageplacering i natverket. Dareftersimuleras lackage i natverket praktiskt taget med hjalp av hydraulisk simuleringsprogramvara. Denerhallna tidsserie-tryckdatan fran sensornoderna forbehandlas med anvandning av endimensionell waveletseriebrytning genom att anvanda Daubechies Wavelet for att extrahera sardrag fran data. Det foreslas attanvanda detta extraktionsprocedur vid varje sensornod lokalt vilket minskar overford data till det centralanavet over molnet och darigenom minskar energiforbrukningen for IoT-sensorn i verkliga varlden.For upptackt och lokalisering av vattenlackage foreslas ett forfarande for erhallande av traningsdata,som utgor grunden for erkannande av monster och regelbundenhet i data som anvander overvakade maskininlarningstekniker, sasom logistik regression, stodvektormaskin och konstgjort neuralt natverk. Dessutomanvands ensemble av dessa tranad modeller for att bygga en battre modell for lackagespecikationoch lokalisering. Utover det ar Random Forest-algoritmen tranad och dess prestanda jamfordes med deterhallna ensemblet av tidigare modeller. Ocksa utmatning av lackstorlek utfors med hjalp av SupportVector Regression-algoritmen.Det observeras att sensorns nodplacering med anvandning av den foreslagna algoritmen ger en battrelackage-lokaliseringsupplosning an slumpmassig utplacering av sensorn. Vidare konstateras att lackstorleksuppskattningmed hjalp av supportvektorregressionsalgoritmen ger en rimlig noggrannhet. Det noterasocksa att Random Forest-algoritmen fungerar battre an ensemblemodellen med undantag for lag lackagescenario. Slutligen innebar detta att man uppskattar lackagestorleken forst. Baserat pa denna uppskattningfor sma lackagefall, kan ensemblemodeller appliceras medan for stort lackagefall kan endast RandomForest anvandas.
APA, Harvard, Vancouver, ISO, and other styles
4

Jakubovics, Nicholas S. "Biofilms in the potable water distribution network." Thesis, University of Warwick, 1998. http://wrap.warwick.ac.uk/36980/.

Full text
Abstract:
The roles of vegetative dormancy and attachment to surfaces in the survival and growth of bacteria in potable water systems were investigated. Species present in the water were identified following isolation or direct observation of static batch enrichment cultures. Using the latter approach, many prosthecate and other stalked bacteria were found. Prosthecate bacteria undergo bi- or poly-phasic life cycles involving asymmetric division to produce reproductive cells and dormant swarmer cells and their presence in tap water supports the theory that vegetative dormancy is an important survival mechanism in this environment. A continuous flow model was established to analyse the metabolic activity of planktonic and attached bacteria in potable water. A physiological dye, 5-cyano-2,3-ditolyl tetrazolium chloride (CTC), was shown to stain active cells specifically in batch cultures of a Sphingomonas sp. and Caulobacter crescentus. Unsuccessful attempts were made to identify cellular proteins of Sphingomonas sp. cells that were specific to the attached or planktonic phenotype. By comparing the total bacterial counts in potable water with the total viable counts it was shown that a large proportion of the microflora was not cultivable on heterotrophic media. However, a proportion of these cells became culturable following enrichment with peptone. After ceasing the exogenous nutrient addition cellular aggregation occurred, presumably reflecting physiological changes in response to nutrient depletion. No clear trend in the activity of attached cells during biofilm development was detected. However, firmly attached cells were buffered against changes in the chemistry of the water. Growth within biofilms and release into the water column elevated the concentration of bacteria in the water. Attached cells were resistant to 0.3 mg free chlorine 1-1 added for 3 hrs, although this did weaken the architecture of the biofilm. Long term biofilms (one year-old) were almost devoid of bacteria - an observation that could not be adequately explained.
APA, Harvard, Vancouver, ISO, and other styles
5

Ar, Kerem. "Calibration Of Water Distribution Networks." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12613934/index.pdf.

Full text
Abstract:
Water distribution network models are used for different purposes. In this study, a model, used for daily operational issues is concerned. Models results should be consistent with actual conditions for sound decisions during operational studies. Adjusting model parameters according to site measurements in order to fit the model to obtain realistic results is known as calibration. Researchers have carried out numerous studies on calibration and developed various methods. In this study, an actual network (N8.3 Pressure Zone, Ankara) has been calibrated by two classical methods developed by Walski (1983) and Bhave (1988). The network parameter calibrated in this study is Hazen-Williams roughness coefficient, C-factor, and other parameters have been lumped in the C-factor. Results of the analysis showed that, C-factors have been found in a wide range.
APA, Harvard, Vancouver, ISO, and other styles
6

Memarian, Neda. "Resilience of Water Distribution Networks." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

Find full text
Abstract:
Resilience is widely interpreted as the capacity of a system to resist (preparation phase), absorb and withstand (responding phase), and rapidly recover from (restoration phase) exceptional conditions. During this study, a mixed variety of calculations were assessed in order to find the best solution for determination of resilience and reliability of a simple network. Then, Todini’s formula and failure index was applied to estimate reliability of system in different scenarios as constant demands in period of 24 hours, constant demands in period of 72 hours when tank will be empty (failure of tank), variable demands in period of 24 hours. At first hydraulic simulation of those scenarios was done by EPANET and validated by MATLAB-TOOLKIT. Then, Resilience index (RI), Failure Index (FI) and reliability (R) of system were measured. Finally, an optimization procedure was done to make a water distribution network with highest resilience and lowest failure probability. All these procedures have been applied on a real network as WDS of Modena. It concluded that this method can be used for every water system without considering the type of failure. As a result, first scenario has a constant decreased and increased trend of RI and FI respectively because of diminishing of water level in tank. During second scenario, there is significant change after the tank will be empty (or it is broke). Third scenario is more like a real network with variable demand during a day. It was concluded that there is a minimum resilience parameter during day when a peak time of water demand expected. It can be justified that the reservoir and pump system had to sustain more pressure to satisfy the demands of junctions. Maximum resilience is related to night during a day with less demands and providing water by tank to other junctions. This modelling could be useful to optimize the dimensions and features of instruments to increase availability and reliability of system.
APA, Harvard, Vancouver, ISO, and other styles
7

Wallen, Anna Rebecca. "Water distribution network performance optimisation by layout refinement." Thesis, Brunel University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.429006.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Gabrys, Bogdan. "Neural network based decision support : modelling and simulation of water distribution networks." Thesis, Nottingham Trent University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387534.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Apaydin, Oncu. "Automated Calibration Of Water Distribution Networks." Master's thesis, METU, 2013. http://etd.lib.metu.edu.tr/upload/12615692/index.pdf.

Full text
Abstract:
Water distribution network models are widely used for various purposes such as long-range planning, design, operation and water quality management. Before these models are used for a specific study, they should be calibrated by adjusting model parameters such as pipe roughness values and nodal demands so that models can yield compatible results with site observations (basically, pressure readings). Many methods have been developed to calibrate water distribution networks. In this study, Darwin Calibrator, a computer software that uses genetic algorithm, is used to calibrate N8.3 pressure zone model of Ankara water distribution network
in this case study the network is calibrated on the basis of roughness parameter, Hazen Williams coefficient for the sake of simplicity. It is understood that there are various parameters that contribute to the uncertainties in water distribution network modelling and the calibration process. Besides, computer software&rsquo
s are valuable tools to solve water distribution network problems and to calibrate network models in an accurate and fast way using automated calibration technique. Furthermore, there are many important aspects that should be considered during automated calibration such as pipe roughness grouping. In this study, influence of flow velocity on pipe roughness grouping is examined. Roughness coefficients of pipes have been estimated in the range of 70-140.
APA, Harvard, Vancouver, ISO, and other styles
10

Axworthy, David H. "Water distribution network modelling, from steady state to waterhammer." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ27600.pdf.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Water Distribution Network"

1

Association, American Water Works, ed. Distribution network analysis for water utilities. Denver, CO: American Water Works Association, 1989.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Jakubovics, Nicholas S. Biofilms in the potable water distribution network. [s.l.]: typescript, 1998.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

A, Edwards Jerry, and Willnow Lindle D, eds. Computer modeling of water distribution systems. Denver, CO: American Water Works Association, 2012.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Peter, Skipworth, ed. Whole life costing for water distribution network management. London: Thomas Telford, 2002.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Tsuchiya, Sakaru. Technical report on Aitutaki water supply pipeline network analysis, Cook Islands. Port Vila, Vanuatu: United Nations ESCAP Pacific Operations Centre, 1995.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Axworthy, David H. Water distribution network modelling: From steady state to waterhammer. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Cesario, Lee. Modeling, analysis, and design of water distribution systems. Denver, CO: American Water Works Association, 1995.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Kleiner, Yehuda. Water distribution network rehabilitation: Selection and scheduling of pipe rehabilitation alternatives. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Association, American Water Works, ed. Computer modeling of water distribution systems. 2nd ed. Denver, CO: American Water Works Association, 2005.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Bill, Lauer, and American Water Works Association, eds. Water quality in the distribution system. Denver, CO: American Water Works Association, 2005.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Water Distribution Network"

1

Chen, Xin W. "Water Distribution Systems." In Network Science Models for Data Analytics Automation, 55–77. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96470-2_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Tabios III, Guillermo Q. "Pipe Network Distribution Modeling with Optimization." In World Water Resources, 299–310. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-25401-8_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Lin, Jing, Ali Hurson, and Sahra Sedigh. "Knowledge Management For Fault-Tolerant Water Distribution." In Large Scale Network-Centric Distributed Systems, 649–77. Hoboken, New Jersey: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118640708.ch26.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Noumir, Zineb, Kévin Blaise Guépié, Lionel Fillatre, Paul Honeine, Igor Nikiforov, Hichem Snoussi, Cédric Richard, Pierre Antoine Jarrige, and Francis Campan. "Detection of Contamination in Water Distribution Network." In Advances in Hydroinformatics, 141–51. Singapore: Springer Singapore, 2013. http://dx.doi.org/10.1007/978-981-4451-42-0_12.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Mohamad, Irma Noorazurah, Nur Syahiza Zainuddin, Azianabiha A. Halip @ Khalid, and Mohmad Radhwan Abd Karim. "Effect of Water Pressure to Water Loss in Water Distribution Network." In InCIEC 2013, 795–803. Singapore: Springer Singapore, 2014. http://dx.doi.org/10.1007/978-981-4585-02-6_68.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Koelle, Edmundo. "Energy Audit of a Water System Network." In Improving Efficiency and Reliability in Water Distribution Systems, 191–211. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-017-1841-7_8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Goulter, I. C., K. Awumah, and S. Bhatt. "Optimising Water Distribution Network Design Using Entropy Surrogates for Network Reliability." In Entropy and Energy Dissipation in Water Resources, 239–59. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2430-0_13.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Quaglino, Stefano. "Real-Time Automatic Control and Management of the Network Distribution." In The Italian Water Industry, 173–86. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71336-6_12.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Ariffa Parakath, A., and T. R. Neelakantan. "Analysis of Resilience Performance of Water Distribution Network." In Lecture Notes in Civil Engineering, 261–67. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5001-0_21.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Asli, Kaveh Hariri, Soltan Ali Ogli Aliyev, and Hossein Hariri Asli. "Water Distribution Network Analysis: From Theory to Practice." In Handbook of Research for Fluid and Solid Mechanics, 183–204. Toronto : Apple Academic Press, 2018.: Apple Academic Press, 2017. http://dx.doi.org/10.1201/9781315365701-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Water Distribution Network"

1

Murray, Regan, Terranna Baranowski, William E. Hart, and Robert Janke. "Risk Reduction and Sensor Network Design." In Water Distribution Systems Analysis 2008. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41024(340)96.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Sutarman and Herman Mawengkang. "Water distribution network optimization." In 2ND INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION SCIENTIFIC DEVELOPMENT (ICAISD) 2021: Innovating Scientific Learning for Deep Communication. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0132971.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Buchberger, Steven G., and Zhiwei Li. "Preserving Spatial Correlation in Network Water Demands." In Water Distribution Systems Analysis 2008. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41024(340)18.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Laucelli, D., O. Giustolisi, and E. Todini. "New Concepts and Tools for Pipe Network Design." In Water Distribution Systems Analysis 2008. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41024(340)22.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Prasad, T. Devi, and Tiku T. Tanyimboh. "Entropy Based Design of ''Anytown'' Water Distribution Network." In Water Distribution Systems Analysis 2008. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41024(340)39.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Saldarriaga, J. G., S. Ochoa, D. Rodriguez, and J. Arbeláez. "Water Distribution Network Skeletonization Using the Resilience Concept." In Water Distribution Systems Analysis 2008. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41024(340)74.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Quesson, B. A. J., M. K. Sheldon-Robert, I. N. Vloerbergh, and J. H. G. Vreeburg. "Acoustic Monitoring of Terrorist Intrusion in a Drinking Water Network." In Water Distribution Systems Analysis 2008. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41024(340)100.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Samuels, William B., and Rakesh Bahadur. "Integrated Network-Based Modeling — Applications to the Water Infrastructure Sector." In Water Distribution Systems Analysis 2008. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41024(340)85.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Crous, P. A., J. E. van Zyl, and A. Nel. "Using Stream Processing to Improve the Speed of Hydraulic Network Solvers." In Water Distribution Systems Analysis 2008. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41024(340)71.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Romero-Gomez, Pedro, Christopher Y. Choi, Kevin E. Lansey, Ami Preis, and Avi Ostfeld. "Sensor Network Design with Improved Water Quality Models at Cross Junctions." In Water Distribution Systems Analysis 2008. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41024(340)94.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Water Distribution Network"

1

Warrick, Arthur W., Gideon Oron, Mary M. Poulton, Rony Wallach, and Alex Furman. Multi-Dimensional Infiltration and Distribution of Water of Different Qualities and Solutes Related Through Artificial Neural Networks. United States Department of Agriculture, January 2009. http://dx.doi.org/10.32747/2009.7695865.bard.

Full text
Abstract:
The project exploits the use of Artificial Neural Networks (ANN) to describe infiltration, water, and solute distribution in the soil during irrigation. It provides a method of simulating water and solute movement in the subsurface which, in principle, is different and has some advantages over the more common approach of numerical modeling of flow and transport equations. The five objectives were (i) Numerically develop a database for the prediction of water and solute distribution for irrigation; (ii) Develop predictive models using ANN; (iii) Develop an experimental (laboratory) database of water distribution with time; within a transparent flow cell by high resolution CCD video camera; (iv) Conduct field studies to provide basic data for developing and testing the ANN; and (v) Investigate the inclusion of water quality [salinity and organic matter (OM)] in an ANN model used for predicting infiltration and subsurface water distribution. A major accomplishment was the successful use of Moment Analysis (MA) to characterize “plumes of water” applied by various types of irrigation (including drip and gravity sources). The general idea is to describe the subsurface water patterns statistically in terms of only a few (often 3) parameters which can then be predicted by the ANN. It was shown that ellipses (in two dimensions) or ellipsoids (in three dimensions) can be depicted about the center of the plume. Any fraction of water added can be related to a ‘‘probability’’ curve relating the size of the ellipse (or ellipsoid) that contains that amount of water. The initial test of an ANN to predict the moments (and hence the water plume) was with numerically generated data for infiltration from surface and subsurface drip line and point sources in three contrasting soils. The underlying dataset consisted of 1,684,500 vectors (5 soils×5 discharge rates×3 initial conditions×1,123 nodes×20 print times) where each vector had eleven elements consisting of initial water content, hydraulic properties of the soil, flow rate, time and space coordinates. The output is an estimate of subsurface water distribution for essentially any soil property, initial condition or flow rate from a drip source. Following the formal development of the ANN, we have prepared a “user-friendly” version in a spreadsheet environment (in “Excel”). The input data are selected from appropriate values and the output is instantaneous resulting in a picture of the resulting water plume. The MA has also proven valuable, on its own merit, in the description of the flow in soil under laboratory conditions for both wettable and repellant soils. This includes non-Darcian flow examples and redistribution and well as infiltration. Field experiments were conducted in different agricultural fields and various water qualities in Israel. The obtained results will be the basis for the further ANN models development. Regions of high repellence were identified primarily under the canopy of various orchard crops, including citrus and persimmons. Also, increasing OM in the applied water lead to greater repellency. Major scientific implications are that the ANN offers an alternative to conventional flow and transport modeling and that MA is a powerful technique for describing the subsurface water distributions for normal (wettable) and repellant soil. Implications of the field measurements point to the special role of OM in affecting wettability, both from the irrigation water and from soil accumulation below canopies. Implications for agriculture are that a modified approach for drip system design should be adopted for open area crops and orchards, and taking into account the OM components both in the soil and in the applied waters.
APA, Harvard, Vancouver, ISO, and other styles
2

O'Hern, Timothy, Glenn Hammond, Leslie Orear, Bart van Bloemen Waanders, Paul Molina, and Ross Johnson. Physical Modeling of Scaled Water Distribution System Networks. Office of Scientific and Technical Information (OSTI), October 2005. http://dx.doi.org/10.2172/1143374.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Zimmerman, Adam, Timothy John O'Hern, Leslie Jr Orear, Karen C. Kajder, Stephen Walter Webb, Malynda A. Cappelle, Siri Sahib Khalsa, et al. Joint physical and numerical modeling of water distribution networks. Office of Scientific and Technical Information (OSTI), January 2009. http://dx.doi.org/10.2172/961658.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Byer, David E. Utilizing Routine Water Quality Instruments and Artificial Neural Networks for Monitoring Distribution System Security. Fort Belvoir, VA: Defense Technical Information Center, May 2003. http://dx.doi.org/10.21236/ada414222.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Kirchhoff, Helmut, and Ziv Reich. Protection of the photosynthetic apparatus during desiccation in resurrection plants. United States Department of Agriculture, February 2014. http://dx.doi.org/10.32747/2014.7699861.bard.

Full text
Abstract:
In this project, we studied the photosynthetic apparatus during dehydration and rehydration of the homoiochlorophyllous resurrection plant Craterostigmapumilum (retains most of the photosynthetic components during desiccation). Resurrection plants have the remarkable capability to withstand desiccation, being able to revive after prolonged severe water deficit in a few days upon rehydration. Homoiochlorophyllous resurrection plants are very efficient in protecting the photosynthetic machinery against damage by reactive oxygen production under drought. The main purpose of this BARD project was to unravel these largely unknown protection strategies for C. pumilum. In detail, the specific objectives were: (1) To determine the distribution and local organization of photosynthetic protein complexes and formation of inverted hexagonal phases within the thylakoid membranes at different dehydration/rehydration states. (2) To determine the 3D structure and characterize the geometry, topology, and mechanics of the thylakoid network at the different states. (3) Generation of molecular models for thylakoids at the different states and study the implications for diffusion within the thylakoid lumen. (4) Characterization of inter-system electron transport, quantum efficiencies, photosystem antenna sizes and distribution, NPQ, and photoinhibition at different hydration states. (5) Measuring the partition of photosynthetic reducing equivalents between the Calvin cycle, photorespiration, and the water-water cycle. At the beginning of the project, we decided to use C. pumilum instead of C. wilmsii because the former species was available from our collaborator Dr. Farrant. In addition to the original two dehydration states (40 relative water content=RWC and 5% RWC), we characterized a third state (15-20%) because some interesting changes occurs at this RWC. Furthermore, it was not possible to detect D1 protein levels by Western blot analysis because antibodies against other higher plants failed to detect D1 in C. pumilum. We developed growth conditions that allow reproducible generation of different dehydration and rehydration states for C. pumilum. Furthermore, advanced spectroscopy and microscopy for C. pumilum were established to obtain a detailed picture of structural and functional changes of the photosynthetic apparatus in different hydrated states. Main findings of our study are: 1. Anthocyan accumulation during desiccation alleviates the light pressure within the leaves (Fig. 1). 2. During desiccation, stomatal closure leads to drastic reductions in CO2 fixation and photorespiration. We could not identify alternative electron sinks as a solution to reduce ROS production. 3. On the supramolecular level, semicrystalline protein arrays were identified in thylakoid membranes in the desiccated state (see Fig. 3). On the electron transport level, a specific series of shut downs occur (summarized in Fig. 2). The main events include: Early shutdown of the ATPase activity, cessation of electron transport between cyt. bf complex and PSI (can reduce ROS formation at PSI); at higher dehydration levels uncoupling of LHCII from PSII and cessation of electron flow from PSII accompanied by crystal formation. The later could severe as a swift PSII reservoir during rehydration. The specific order of events in the course of dehydration and rehydration discovered in this project is indicative for regulated structural transitions specifically realized in resurrection plants. This detailed knowledge can serve as an interesting starting point for rationale genetic engineering of drought-tolerant crops.
APA, Harvard, Vancouver, ISO, and other styles
6

Hoekman, Steven, Jamie Womble, Thomas Ziomek, and Courtney Amundson. Monitoring Kittlitz’s and marbled murrelets in Glacier Bay National Park and Preserve: 2021 annual report. National Park Service, August 2023. http://dx.doi.org/10.36967/2299439.

Full text
Abstract:
Since 2009, the Southeast Alaska Network (SEAN) has monitored the abundance and spatial distribution of Kittlitz’s (Brachyramphus brevirostris, “KIMU”) and marbled murrelets (B. marmoratus, “MAMU”) in Glacier Bay National Park, an important summer residence for both species. Species-specific, on-water density and abundance of murrelets is estimated from vessel-based line transect surveys, while accounting for detection probability and partial identification (identification only to genus). Design of the monitoring program focuses on KIMU, with secondary consideration of MAMU. Due to the global pandemic, surveys were not conducted in 2020. In 2021, we only surveyed permanent panel transects, which totaled 56% of the length of transects planned for 2021. Permanent panel transects are primarily located in the middle and upper areas of Glacier Bay and sample regions within the total survey area that have relatively high expected densities of KIMU. Inference was limited to the 339 km2 “high-density area” formed by these regions, which comprised 29% of the total survey area. To provide context for 2021 results, we also estimated species-specific densities in the high-density area from 2011 to 2019. We surveyed 25 transects totaling 130 km from 13 to 21 July 2021. Within the high-density area, we estimated an abundance of 2,921 (SE = 734) KIMU and 21,710 (2,421) MAMU and densities of 8.6 (2.2) and 64.0 (7.1) individuals/km2. Estimated densities of each species in the high-density area were similar between 2019 and 2021, with KIMU estimates near the lower end of the range from 2011 to 2021 and MAMU estimates near the upper end. Observations of KIMU were concentrated in smaller, glacially influenced middle and upper reaches of Glacier Bay, especially in Johns Hopkins Inlet in the upper West Arm (~40% of observations). MAMU were more evenly dispersed, with the densest aggregations located in the upper east side of the central bay and at the mouth of the East Arm. While estimated abundance of MAMU in the total survey area showed no clear trend from 2011 to 2019, the percent of MAMU occupying the high-density area steadily increased from ~20% to >40%, suggesting a northward shift in their spatial distribution. The estimated percent of the total KIMU population occupying the high-density area jumped from ~45% from 2011 to 2018 to 85% in 2019. This change coincided with exceptionally low estimated abundance in the total survey area, which resulted primarily from very low estimated density outside the high-density area. Resuming full survey effort should help clarify the nature and persistence of these changes and their implications for conservation and monitoring
APA, Harvard, Vancouver, ISO, and other styles
7

In Hot Water? The Growing Threat of Cyber Attacks to Water Distribution Systems. American Society of Civil Engineers, March 2022. http://dx.doi.org/10.1061/infographic.000003.

Full text
Abstract:
rsecurity into the current practices of the public water infrastructure sector? ASCE collection on cybersecurity in water distribution networks Overview of smart water networks, their advantages and weaknesses, and growing challenges in securing resilience Lessons learned from past cybersecurity incidents AI-based algorithms for detecting and localizing cyber attacks Integrating cyber attacks into resilience and risk assessment procedures and emergency response measures Analyzing different types of cyber-physical attacks and their effects Modeling and simulation methodologies for managing water distribution security Understanding cybersecurity from the perspective of different stakeholders Cyber attacks will become a more serious and recurring threat the more we transition into smart water distribution systems—we must remain vigilant! This collection will help engineers and decision makers become familiar with the state-of-the-art in cybersecurity for water infrastructure networks, leading to: •Resilient and reliable drinking water infrastructure •Better guidelines and protocols C − In ASCE’s 2021 Report Card for America’s Infrastructure, the Drinking Water category got a ‘C −’ The Infrastructure Investment and Jobs Act supports cybersecurity for the public water system •Clean Water Resiliency and Sustainability Program: Grants to increase resiliency of public treatment systems and distribution networks to cyber attacks and natural hazards •$25 million annually for five years T
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Water Distribution Network' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography