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Application of GIS and Hydraulic Modeling for Sustainable Management of Water Supply Networks: A Pathway for Achieving Sustainable Development Goal (SDG) 6

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Abstract

This study presents a novel approach for coupling QGIS and hydraulic modeling using EPANET for the sustainable operation and management of water supply networks (WSNs) based on the pressure-dependent demand algorithm (PDA). The geo-referenced hydraulic model (GHM) was developed in QGIS utilizing the QWater plug-in, followed by the hydraulic performance appraisal based on the nodal pressures and flow velocities at the least and peak demand times. The global hydraulic performance index (HPIG) was implemented to assess the overall network reliability in 2030, generating HPIG values of 24.5% and 15% during least and peak demand, respectively. These outputs demonstrate poor hydraulic performance. Also, the simulation results indicated that at low demand, the water velocity and pressure ranged from 0.03–1.56 m/s to 0.78–78.62 m, respectively. At peak demand, the flow velocity and pressure ranged from 0.00–3.59 m/s to − 15.65–43.74 m, respectively. The suitability modeling of the ground-water potential zones (GWPZs) was implemented in QGIS utilizing the EasyAHP plug-in to facilitate the development of additional production wells. Consequently, a significant portion (36%) of the study area is highly suitable for implementing borehole wells. Therefore, integrating the QWater plug-in with EPANET 2.2 to develop and simulate the GHM of WDN based on PDA could support hydraulic engineers, field operators, planners, and decision-makers. The innovative approach would achieve several targets of SDG 6 (6.1, 6.2, 6.4, 6.5, and 6.6) of the United Nations Agenda 2030.

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References

  • Abdelbaki C, Benchaib MM, Benziada S et al (2017) Management of a water distribution network by coupling GIS and hydraulic modeling: a case study of Chetouane in Algeria. Appl Water Sci 7:1561–1567. https://doi.org/10.1007/s13201-016-0416-1

    Article  Google Scholar 

  • Abdelbaki C, Touaibia B, Ammari A et al (2019) Contribution of GIS and hydraulic modeling to the management of water distribution network. Springer International Publishing

  • Ackley JRL, Tanyimboh TT, Tahar B, Templeman AB (2001) Head-driven analysis of water distribution systems. In: Ulanicki B, Coulbeck B, Rance J (eds) Chapter 3, Water software systems: theory and applications vol 1. Research Studies Press Ltd., England, pp 183–192

  • Adham A, Riksen M, Abed R et al (2022) Assessing suitable techniques for rainwater harvesting using analytical hierarchy process (AHP) methods and GIS techniques. Water (Switzerland) 14. https://doi.org/10.3390/w14132110

  • Ahmed SO, Bilgili AV, Cullu MA, et al (2023) Using geographic information systems and multi-criteria decision analysis to determine appropriate locations for rainwater harvesting in Erbil Province, Iraq. Water (Switzerland) 15. https://doi.org/10.3390/w15234093

  • Atukunda A, Ibrahim MG, Fujii M et al (2022) Dual biogas/biochar production from anaerobic co-digestion of petrochemical and domestic wastewater: a techno-economic and sustainable approach. Biomass Convers Biorefinery. https://doi.org/10.1007/s13399-022-02944-w

    Article  Google Scholar 

  • Baskaran V, Velkennedy R (2022) A systematic review on the role of geographical information systems in monitoring and achieving sustainable development goal 6: Clean water and sanitation. Sustain Dev 30:1417–1425. https://doi.org/10.1002/sd.2302

    Article  Google Scholar 

  • Berrezel YA, Abdelbaki C, Rouissat B et al (2022) Coupling decision support systems for the optimization of the management of water distribution networks, PREPRINT (Version 1) available at research square. https://doi.org/10.21203/rs.3.rs-1038410/v1

  • Dadebo D, Obura D, Etyang N, Kimera D (2023a) Economic and social perspectives of implementing artificial intelligence in drinking water treatment systems for predicting coagulant dosage : A transition toward sustainability. Groundw Sustain Dev 23:100987. https://doi.org/10.1016/j.gsd.2023.100987

    Article  Google Scholar 

  • Dadebo D, Obura D, Kimera D (2023b) Hydraulic modeling and prediction of performance for a drinking water supply system towards the achievement of sustainable development goals ( SDGs ): A system case study from Uganda. Groundw Sustain Dev 22:100951. https://doi.org/10.1016/j.gsd.2023.100951

    Article  Google Scholar 

  • Deepali VR, Sandip MT (2019) Pressure driven approach in water distribution network analysis: a Review. Int J Anal Exp modal Anal XI:877–896

    Google Scholar 

  • Dem S (2018) Evaluation of the suitability of global gradient algorithm and inverse matrix method for steady-state analysis of water distribution networks. 7:23–33. https://doi.org/10.28948/ngumuh.383777

  • Do NC, Simpson A, Deuerlein J, Piller O (2017) Demand estimation in water distribution systems : solving underdetermined problems using genetic algorithms. Procedia Eng 186:193–201. https://doi.org/10.1016/j.proeng.2017.03.227

    Article  Google Scholar 

  • Doke AB, Zolekar RB, Patel H, Das S (2021) Geospatial mapping of groundwater potential zones using multi-criteria decision-making AHP approach in a hardrock basaltic terrain in India. Ecol Indic 127:107685. https://doi.org/10.1016/j.ecolind.2021.107685

    Article  Google Scholar 

  • Ficarelli TRA, Ribeiro H (2021) The contribution of geographical information systems—GIS in water and sewage companies for water sustainability. In: Filho WL, Azeiteiro UM, Setti AFF (eds) Sustainability in Natural Resources Management and Land Planning. World Sustainability Series. Springer, Cham, pp 17–29

  • Garcia-Avila F, Aviles-Anazco A, Ordonez-Jara J et al (2019) Pressure management for leakage reduction using pressure reducing valves. Case Study Andean City. https://doi.org/10.1016/j.aej.2019.11.003

    Article  Google Scholar 

  • Germann V, Borgwardt F, Fischer J et al (2023) Development and evaluation of options for action to progress on the SDG 6 targets in Austria. J Environ Manage 325. https://doi.org/10.1016/j.jenvman.2022.116487

  • Hajibabaei M, Nazif S, Sitzenfrei R (2019) Improving the performance of water distribution networks based on the value index in the system dynamics framework. Water (switzerland) 11:1–23. https://doi.org/10.3390/w11122445

    Article  Google Scholar 

  • Haldar S, Majumder A (2022) Identifying suitable location for surface rainwater harvesting using GIS and analytical hierarchy process identifying suitable location for surface rainwater harvesting using GIS and analytical hierarchy process. Pap Appl Geogr 8:339–356. https://doi.org/10.1080/23754931.2022.2051196

    Article  Google Scholar 

  • Ibrahim GRF, Rasul A, Hamid AA et al (2019) Suitable site selection for rainwater harvesting and storage case study using Dohuk governorate. Water (Switzerland) 11. https://doi.org/10.3390/w11040864

  • Jaiswal AK, Thakur PK, Kumar P, Kannaujiya S (2021) Geospatial modeling of water supply distribution system: a case study of Dehradun city, India. H2Open J 4:393–412. https://doi.org/10.2166/H2OJ.2021.118

  • Jha K, Mishra MK (2020) Object-oriented integrated algorithms for efficient water pipe network by modified Hardy Cross technique. 7:56–64. https://doi.org/10.1093/jcde/qwaa006

  • Kara S, Karadirek IE, Muhammetoglu A, Muhammetoglu H (2016) Hydraulic modeling of a water distribution network in a tourism area with highly varying characteristics. Procedia Eng 162:521–529. https://doi.org/10.1016/j.proeng.2016.11.096

    Article  Google Scholar 

  • Letting LK, Hamam Y, Abu-mahfouz AM (2017) Estimation of water demand in water distribution systems using particle swarm optimization. Water 8:1–16. https://doi.org/10.3390/w9080593

    Article  Google Scholar 

  • Luvizotto E, Cavichia MC, Vatavuk P, Andrade JGP (2013) Nonmatrix gradient method for the simulation of water distribution networks. J Water Resour Plan Manag 139:433–439. https://doi.org/10.1061/(asce)wr.1943-5452.0000271

    Article  Google Scholar 

  • Mahmoud HA, Savić D, Kapelan Z (2017) New pressure-driven approach for modeling water distribution networks. J Water Resour Plan Manag 143:1–11. https://doi.org/10.1061/(asce)wr.1943-5452.0000781

    Article  Google Scholar 

  • Mandal P, Saha J, Bhattacharya S, Paul S (2021) Delineation of groundwater potential zones using the integration of geospatial and MIF techniques: a case study on Rarh region of West Bengal, India. Environ Challenges 5:100396. https://doi.org/10.1016/j.envc.2021.100396

    Article  Google Scholar 

  • Muranho J, Ferreira A, Sousa J et al (2014) Technical performance evaluation of water distribution networks based on EPANET. Procedia Eng 70:1201–1210. https://doi.org/10.1016/j.proeng.2014.02.133

    Article  Google Scholar 

  • Muranho J, Ferreira A, Sousa J et al (2020) Pressure-driven simulation of water distribution networks: searching for numerical stability. 48. https://doi.org/10.3390/environsciproc2020002048

  • MWE (2013) Design guidelines for water supply infrastructure in Uganda. In: Minist. Water Environ. https://www.mwe.go.ug/. Accessed 11 Nov 2021

  • Obura D, Nabifo V, Apiny I et al (2024) Application of a decision support system for monitoring and maintenance management of water valley tank facilities : a technological transformation toward sector sustainability. Groundw Sustain Dev 25:101109. https://doi.org/10.1016/j.gsd.2024.101109

    Article  Google Scholar 

  • Pérez-Padillo J, Morillo JG, Poyato EC, Montesinos P (2021) Open-source application for water supply system management: implementation in a water transmission system in southern spain. Water (Switzerland) 13. https://doi.org/10.3390/w13243652

  • Punmia BC, Jain AK, Jain AK (2005) Water supply engineering. Laxmi publications (P) Ltd, New Delhi 

  • Randeniya A, Radhakrishnan M, Sirisena TAJG et al (2022) Equity - performance trade-off in water rationing regimes with domestic storage. Water Supply 22:4781–4797. https://doi.org/10.2166/ws.2022.188

    Article  Google Scholar 

  • Saaty TL (2008) Decision making with the analytic hierarchy process. int J Serv Sci 1:83–98

  • Swamee PK, Sharma AK (2008) Design of water supply pipe networks. John Wiley & Sons, New Jersey

    Book  Google Scholar 

  • Todini E, Santopietro S, Gargano R, Rossman LA (2021) Pressure flow–based algorithms for pressure-driven analysis of water distribution networks. J Water Resour Plan Manag 147:1–13. https://doi.org/10.1061/(asce)wr.1943-5452.0001401

    Article  Google Scholar 

  • Todini E, Gabriele A (2022) Comparing alternative PDA solvers with EPANET. 24:697–710. https://doi.org/10.2166/hydro.2022.005

  • Trifunovic N (2020) Introduction to urban water distribution. Second edi. Taylor & Francis, London

    Book  Google Scholar 

  • UBOS (2015) Statistical abstract information on: environmental, demographic, socio-economic, production and macroeconomic sectors. In: Ugnada Bureau of Statistics (UBOS). https://www.ubos.org/publications/statistical/. Accessed 10 Dec 2021

  • Uganda Bureau of Statistics (UBOS) (2016) The National Population and Housing Census 2014 – Main Report, Kampala, Uganda

  • United Nations (2015) Transforming our world: the 2030 Agenda for Sustainable Development, A/RES/70/1

  • Zischg J, Mair M, Rauch W, Sitzenfrei R (2017) Enabling efficient and sustainable transitions of water distribution systems under network structure uncertainty. Water (Switzerland) 9. https://doi.org/10.3390/w9090715

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Authors and Affiliations

  1. Department of Civil Engineering, Uganda Technical College (UTC), Kyema, P.O. Box 473, Masindi, Uganda

    Denis Obura & Derrick Dadebo

  2. Department of Water Resources Engineering, Busitema University, P.O. Box 236, Tororo, Uganda

    David Kimera

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  1. Denis Obura
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  2. David Kimera
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  3. Derrick Dadebo
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Contributions

DO: conceptualization, methodology, formal analysis, writing—original draft, writing—review and editing. DK: data curation, visualization, writing—review and editing. DD: conceptualization, methodology, formal analysis, writing—original draft. All authors read and approved the final manuscript.

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Correspondence to Derrick Dadebo.

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Obura, D., Kimera, D. & Dadebo, D. Application of GIS and Hydraulic Modeling for Sustainable Management of Water Supply Networks: A Pathway for Achieving Sustainable Development Goal (SDG) 6. Process Integr Optim Sustain (2024). https://doi.org/10.1007/s41660-024-00410-w

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