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IJSTR >> Volume 9 - Issue 3, March 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Water Demand Of Gambung Water Supply System, Bandung Regency, West Java

[Full Text]



Rachel Dista Zebua, Riana Ayu Kusumadewi, Winarni



water consumption, water demand, drinking water supply system



Water demand keeps increasing in Bandung Regency, particularly in Soreang, Katapang, Margahayu, and Margaasih districts that would be referred to as Gambung Drinking Water Supply System (DWSS) in this paper. The service coverage of Gambung DWSS supplied by Tirta Raharja Regional Water Supply Enterprise (PDAM) is only 6.85%, including Soreang and Katapang districts. On the other hand, the service has not reached Margahayu and Margaasih at all. This research aims to predict the water demand of DWSS Gambung in 2040, comprising two phases of planning. The method includes projecting population in the study area to the year of 2030 and 2040, analyzing population density in the residential areas, as well as assessing the water usage and its fluctuation in the existing service area. The projection of service coverage is up to 70% in the year of 2030 and 97% in the year of 2040, with an estimated water demand of 216 L/second and 352 L/second, respectively.



[1] Paul R. Hunter, Alan M. MacDonald, and Richard C. Carter, “Water Supply and Health”, PLoS Medicine, vol. 7, issue 11, Nov. 2010, doi: 10.1371/journal.pmed.1000361.
[2] Dipali Babubhai Paneria and Bhasker Vijaykumar Bhatt, “Modernization in Water Distribution System”, Conference: New Horizons in Civil Engineering, 2017.
[3] S. Behboudian, M. Tabesh, M. Falahnezhad, and F. A. Ghavanini, “A Long-Term Prediction of Domestic Water Demand Using Preprocessing in Artificial Neural Network”, Journal of Water Supply: Research and Technology—AQUA, vol. 63, issue 1, pages 31-42, Oct. 2013, doi:10.2166/aqua.2013.085.
[4] M. Herreraa, L. Torgob, J. Izquierdoa, and R. Pérez-Garcíaa, “Predictive Models For Forecasting Hourly Urban Water Demand”, Journal of Hydrology, vol. 387, issues 1–2, 7, Pages 141-150, Jun. 2010, doi: 10.1016/j.jhydrol.2010.04.005.
[5] Šárka Kročová, “Water Supply Systems And Their Influence On Increasing Operational Safety In Industry”, Perspectives in Science, vol. 7, pages 236-239, Mar. 2016, doi: 10.1016/j.pisc.2015.11.038.
[6] M.A. Al-Zahrani, and A. Abo-Monasar, “Urban Residential Water Demand Prediction Based on Artificial Neural Networks and Time Series Models”, Water Resources Management, vol. 29, issue 10, pp 3651-3662, Aug. 2015, doi:10.1007/s11269-015-1021-z. Regional Goverment of Bandung Regency, Master Plan of The Water Supply System Development in Bandung Regency 2017 – 2037, Nov. 2017.
[7] Andrew Taylor, “Population Projections for Sparsely Populated Areas: Reconciling “Error” and Context”, International Journal of Population Research, vol. 2014, Article ID 658157, Sep. 2014, doi: 10.1155/2014/658157.
[8] J. S. Siegel, and D. Swanson, The Methods and Materials of Demography. San Diego: Elsevier Academic Press, 2004.
[9] Jean-Daniel Rinaudo, “Long-Term Water Demand Forecasting”, Adaptation to Climate Change in Urban Water Management – Flood Management in The Rotterdam Rijnmond Area, pages 239-268, Jan. 2015, doi: 10.1007/978-94-017-9801-3_11 .
[10] Mamat Ruhimat, “Population Pressure on The Land in Sukaraja District, Sukabumi Regency”, Juornal of Geography Education, vol. 15, issue 2, pages 59-65, Oct. 205, doi: 10.17509/gea.v15i2.3548.
[11] Robert J. Kodoatie, and Sjarief Rustam. Water Resources Management Integreted, Yogyakarta: Andi, 2005.