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The growing population and the development of industries in all countries of the world have created a very important and complex issue for water supply to cities. Today, many parts of the world are facing the problem of water shortage and this problem cannot be easily solved. In addition to the proper use of water resources and preventing the loss of natural water, the establishment of regional water supply networks is effective in meeting the future needs of the people. A water distribution network (water supply network) is a set of interconnected pipelines used to transport and distribute water in a complex. In designing the water distribution network, factors such as the type of water distribution network, water pressure, water velocity, design flow, minimum pipe diameter, pipe material and many other factors should be considered. In this study, we have tried to design the water supply network of a part of Balikpapan city in Indonesia. The design method led to the determination of pressure values in the connection nodes, pipe diameters, flow rate and velocity in the pipes. All the existing criteria are considered in the design of the water supply network. Although this study has been implemented for a specific study area, it can be of great help to designers in designing the water supply network.
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Tom
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251--254
Opis fizyczny
Bibliogr. 20 poz., rys.
Twórcy
autor
- International University of Japan, School of Finance and Banking, Minamiuonuma, Japan
- Banking University of HCMC, Ho Chi Minh City, Vietnam
autor
- Udayana University, Faculty of Engineering, Department of Architecture, Kampus Bukit, Jl. Raya Kampus Unud Jimbaran, Kec. Kuta Sel., Kabupaten Badung, Bali, 80361, Indonesia
autor
- Plekhanov Russian University of Economics, Moscow, Russian Federation
autor
- Chulabhorn Royal Academy, HRH Princess Chulabhorn College of Medical Science, Faculty of Nursing, Bangkok, Thailand
autor
- Al-Ayen University, College of Health and Medical Technology, Department of Optics, Dhi-Qar, Iraq
autor
- Airlangga University, Faculty of Health, Surabaya, Indonesia
autor
- Thuongmai University, Faculty of Engineering, Hanoi, Vietnam
autor
- Al-Farahidi University, Medical Laboratory Techniques Department, Baghdad, Iraq
autor
- GLA University, Department of Business Management, Mathura, India
autor
- Jiujiang University, School of Accounting, Jiujiang, China
Bibliografia
- ALONSO M.C., BARCELÓ D. 1999. Tracing polar benzene-and naphtha-lenesulfonates in untreated industrial effluents and water treatment works by ion-pair chromatography-fluorescence and electrospray-mass spectrometry. Analytica Chimica Acta. Vol. 400 (1–3) p. 211–231. DOI 10.1016/S0003-2670(99)00705-9.
- BATISH R. 2003. A new approach to the design of intermittent water supply networks. In: World Water & Environmental Resources Congress 2003. 23–26.06.2003 Philadelphia, Pennsylvania, United States. ASCE p. 1–11. DOI 10.1061/40685(2003)123.
- BENSOLTANE M.A., ZEGHADNIA L., DJEMILI L., GHEID A., DJEBBAR Y. 2018. Enhancement of the free residual chlorine concentration at the ends of the water supply network: Case study of Souk Ahras city – Algeria. Journal of Water and Land Development. No. 38 p. 3–9. DOI 10.2478/jwld-2018-0036.
- CUNHA M.D.C., SOUSA J. 1999. Water distribution network design optimization: Simulated annealing approach. Journal of Water Resources Planning and Management. Vol. 125(4) p. 215–221. DOI 10.1061/(ASCE)0733-9496(1999)125:4(215).
- EUSUFF M.M., LANSEY K.E. 2003. Optimization of water distribution network design using the shuffled frog leaping algorithm. Journal of Water Resources Planning and Management. Vol. 129(3) p. 210–225. DOI 10.1061/(ASCE)0733-9496(2003)129:3(210).
- FATHOLLAHI-FARD A.M., HAJIAGHAEI-KESHTELI M., TIAN G., LI Z. 2020. An adaptive Lagrangian relaxation-based algorithm for a coordinated water supply and wastewater collection network design problem. Information Sciences. Vol. 512 p. 1335–1359. DOI 10.1016/j.ins.2019.10.062.
- GEEM Z.W., KIM J.H., JEONG S.H. 2011. Cost efficient and practical design of water supply network using harmony search. African Journal of Agricultural Research. Vol. 6(13) p. 3110–3116. DOI 10.5897/AJAR.9000133.
- GURUNG T.R., STEWART R.A., BEAL C.D., SHARMA A.K. 2015. Smart meter enabled water end-use demand data: platform for the enhanced infrastructure planning of contemporary urban water supply networks. Journal of Cleaner Production. Vol. 87 p. 642–654. DOI 10.1016/j.jclepro.2014.09.054.
- HERRERA-LEÓN S., LUCAY F., KRASLAWSKI A., C ISTERNA L.A., GÁLVEZ E.D. 2018. Optimization approach to designing water supply systems in non-coastal areas suffering from water scarcity. Water Resources Management. Vol. 32(7) p. 2457–2473. DOI 10.1007/s11269-018-1939-z.
- ILYAS M., AHMAD W., KHAN H., YOUSAF S., YASIR M., KHAN A. 2019. Environmental and health impacts of industrial wastewater effluents in Pakistan: A review. Reviews on Environmental Health. Vol. 34(2) p. 171–186. DOI 10.1515/reveh-2018-0078.
- IWANEK M., KOWALSKI D., KOWALSKA B., SUCHORAB P. 2020. Fractal geometry in designing and operating water networks. Journal of Ecological Engineering. Vol. 21(6) p. 229–236. DOI 10.12911/22998993/123501.
- LUCAS S.A., COOMBES P.J., SHARMA A.K. 2010. The impact of diurnal water use patterns, demand management and rainwater tanks on water supply network design. Water Science and Technology: Water Supply. Vol. 10(1) p. 69–80. DOI 10.2166/ws.2010.840.
- MARTÍNEZ-SANTOS M., LANZÉN A., UNDA-CALVO J., MARTÍN I., GARBISU C., RUIZ-ROMERA E. 2018. Treated and untreated wastewater effluents alter river sediment bacterial communities involved in nitrogen and sulphur cycling. Science of the Total Environment. Vol. 633 p. 1051–1061. DOI 10.1016/j.scitotenv.2018.03.229.
- MERETA S.T., AMBELU A., ERMIAS A., ABDIE Y., MOGES M., HADDIS A., ... MULAT W.L. 2020. Effects of untreated industrial effluents on water quality and benthic macroinvertebrate assemblages of Lake Hawassa and its tributaries, Southern Ethiopia. African Journal of Aquatic Science. Vol. 45(3) p. 285–295. DOI 10.2989/16085914.2019.1671166.
- MONTALVO I., IZQUIERDO J., PÉREZ R., TUNG M.M. 2008. Particle swarm optimization applied to the design of water supply systems. Computers & Mathematics with Applications. Vol. 56(3) p. 769–776. DOI 10.1016/j.camwa.2008.02.006.
- QIAO J., JEONG D., LAWLEY M., RICHARD J.P.P., ABRAHAM D.M., YIH Y. 2007. Allocating security resources to a water supply network. IIE Transactions. Vol. 39(1) p. 95–109. DOI 10.1080/07408170600865400.
- SULIANTO , SETIONO E., YASA I.W. 2021. Optimization model the pipe diameter in the drinking water distribution network using multi-objective genetic algorithm. Journal of Water and Land Development. No. 48 p. 55–64. DOI 10.24425/jwld.2021.136146.
- WILLET J., KING J., WETSER K., DYKSTRA J.E., ESSINK G.H.O., RIJNAARTS H.H. 2020. Water supply network model for sustainable industrial resource use a case study of Zeeuws-Vlaanderen in the Netherlands. Water Resources and Industry. Vol. 24, 100131. DOI 10.1016/j.wri.2020.100131.
- WILLET J., WETSER K., DYKSTRA J.E., BIANCHI A.B., ESSINK G.H.O., RIJNAARTS H H. 2021. WaterROUTE: A model for cost optimization of industrial water supply networks when using water resources with varying salinity. Water Research. Vol. 202, 117390. DOI 10.1016/j.watres.2021.117390.
- YOUNG B. 1994. Design of branched-water-supply network on uneven terrain. Journal of Environmental Engineering. Vol. 120(4) p. 974–979. DOI 10.1061/(ASCE)0733-9372(1994)120:4(974).
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6942db1e-8289-4669-b45c-e13b3948598c
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