Su kayıp yönetimi için temel hesaplama araçlarının geliştirilmesi ve temel su kayıp bileşenlerinin analizi

Year 2021, Volume: 11 Issue: 2, 405 - 416, 15.04.2021

Mahmut Fırat Salih Yılmaz Cansu Orhan

https://doi.org/10.17714/gumusfenbil.812340

Cited By: 2

Abstract

Su kayıp yönetimi, çeşitli yöntem ve süreçleri içermekte ve bu yöntemlerin kullanılması ile sürdürülebilir kentsel su yönetiminin sağlanması mümkün olmaktadır. Su ve enerji verimliliği ve sürdürülebilir su kayıp yönetiminde en uygun hesaplama araçlarının kullanılması ve uluslararası literatüre göre analiz yapılması önemlidir. Bu çalışmada, su kayıp yönetiminin sistematik, planlı ve sürdürülebilir bir şekilde yapılmasına esas teşkil eden temel su kayıp analizleri için hassas ve doğru analiz imkanı sunan hesaplama araçlarının geliştirilmesi amaçlanmıştır. Bunun için web tabanlı çalışan, birbiri ile bütünleşik olan “su dengesi”, “minimum gece debisi” ve “altyapı kaçak indeksi” hesaplama araçları geliştirilmiş ve pilot veri seti için uygulama gerçekleştirilmiştir. Bu hesaplama araçlarının, İdarelerde, sızıntıların yönetilmesinde, su kayıp yönetim performanslarının izlenmesinde, sistem verimliliğinin sağlanmasında, sızıntı hesaplarının daha sistematik ve hassas bir şekilde yapılmasında, su kayıp yönetimi hesaplamalarının uluslararası standartlara göre yapılmasında önemli katkılar sunacağı düşünülmektedir.

Keywords

Hesaplama aracı, İçmesuyu dağıtım sistemi, Su dengesi, Su kayıpları, Su kayıp yönetimi

Supporting Institution

İnönü Üniversitesi Bilimsel Araştırma Projeleri Koordinasyon Birimi

Project Number

İÜ-BAP FOA-2018-626

Thanks

Bu çalışma, İnönü Üniversitesi Bilimsel Araştırma Projeleri Birimi, (İÜ-BAP FOA-2018-626) tarafından desteklenmiştir. Yazarlar desteklerinden dolayı İÜ-BAP birimine teşekkür eder.

Development of basic analysis tools for water loss management and analysis of basic water loss components

Abstract

Water loss management includes various methods and processes, and it is possible to ensure sustainable urban water management to use these methods. However, it is important to use the most appropriate tools and to analyze according to international literature in water and energy efficiency and sustainable water loss management. In this study, it is aimed to perform basic water loss analysis, which is the basis for systematic, planned and sustainable water loss management, and to develop analysis tools that provide more precise and accurate analysis. For this purpose, web-based, integrated "water balance", "minimum night flow" and "infrastructure leakage index" calculation tools have been developed and an application has been made for the pilot data set. It is thought that these calculation tools will provide significant contributions in the management of spills, monitoring water loss management performances, ensuring system efficiency, making leakage calculations more systematically and precisely, and making water loss management calculations in accordance with international standards.

Keywords

Analysis tool, Water balance, Water distribution system, Water losses, Water loss management

Project Number

İÜ-BAP FOA-2018-626

References

• Babić, B., Dukić, A, Stanić, M., 2014. Managing water pressure for water savings in developing countries, Water SA, 40(2), 221-232 Boztaş, F., Özdemir, Ö., Durmuşçelebi, F.M., Firat M., 2019. Analyzing the effect of the unreported leakages in service connections of water distribution networks on non-revenue water, International Journal of Envi. Science and Technology,16, 4393-4406.
• Cavazzini, G., Pavesi, G., Ardizzon, G., 2020. Optimal Assets Management of a Water Distribution Network for Leakage Minimization Based on an Innovative Index, Sustainable Cities and Society. 54, 101890.
• Cheung, P.B., Girol, G. V., Abe, N., Propato, M., 2010. Night flow analysis and modeling for leakage estimation in a water distribution system. In: Integrating Water Systems - Proceedings of the 10th International on Computing and Control for the Water Industry, CCWI 2009
• Choi, T., Hong, M., Kim, J., Koo, J., 2015. Efficient minimum night flow analysis using Bayesian inference. Journal of Water Supply: Research and Technology - AQUA, 64(1),10-18
• Creaco, E., Campisano, A., Fontana, N., Marini, G., Page, P. R., Walski, T., (2019) Real time control of water distribution networks: A state-of-the-art review. Water Research, 161, 517–530.
• Eggimann, S., Mutzner, L., Wani, O., 2017. The Potential of Knowing More: A Review of Data-Driven Urban Water Management. Environmental Science and Technology, 51(5), 2538–2553
• Eugine, M., 2017. Predictive Leakage Estimation using the Cumulative Minimum Night Flow Approach. American Journal of Water Resources. doi: 10.12691/AJWR-5-1-1
• Fallis, P., Hübschen, K., Oertlé, E., 2011. Guidelines for Water Loss Reduction. 236
• Fantozzi, M., Calza, F., Lambert, A., 2009. Experience and Results Achieved in Introducing District Metered Areas (DMA) and Pressure Management Areas (PMA) at Enia Utility (Italy). Proceedings of the 5th IWA Water Loss Reduction Specialist Conference
• Farah, E., Shahrour, I., 2017. Leakage Detection Using Smart Water System: Combination of Water Balance and Automated Minimum Night Flow, Water Resources Managemen, 31, 4821-4833
• Farley, M., 2001. Leakage Management and Control : A Best Practice Training Manual. World Health Organization Geneva, Switzerland 2001.
• Farley, M., Liemberger, R., 2005. Developing a non-revenue water reduction strategy: planning and implementing the strategy, Water Science and Technology: Water Supply, 15,41–50
• Farley, M., Wyeth, G., Ghazali, Z.B.M., 2008. The Manager’s Non-Revenue Water Handbook. A Guide to Understanding Water Losses
• Fontana, N., Giugni, M., Glielmo, L., 2018. Real-time control of pressure for leakage reduction in water distribution network: Field experiments, Journal of Water Resources Planning and Management. doi: 10.1061/(ASCE)WR.1943-5452.0000887
• García, V.J., Cabrera, E., 2007. The minimum night flow method revisited. In: 8th Annual Water Distribution Systems Analysis Symposium 2006
• Gupta, A., Kulat, K.D., 2018. A Selective Literature Review on Leak Management Techniques for Water Distribution System, Water Resources Management 32, 3247–3269.
• Hamilton, S., Mckenzie, R., Seago, C., 2006. A Review of Performance Indicators for Real Losses from Water Supply Systems, Voda i sanitarna tehnika. 36, 15–24
• Jadhao, R.D., Gupta, R., 2018. Calibration of water distribution network of the Ramnagar zone in Nagpur City using online pressure and flow data. Applied Water Science.doi:10.1007/s13201-018-0672-3
• Jafari-Asl, J., Kashkooli, B.S., Bahrami, M., 2020. Using Particle Swarm Optimization Algorithm to Optimally Locating and Controlling of Pressure Reducing Valves for Leakage Minimization in Water Distribution Systems. Sustainable Water Resources Management.
• Kleiner, Y., Adams, B.J., Rogers, J.S., 2001. Water distribution network renewal planning. Journal of Computing in Civil Engineering. doi: 10.1061/(ASCE)0887-3801(2001)15:1(15)
• Lambert, A., 1994. Accounting for Losses: The Bursts and Background Concept, Water and Environment Journal. doi:10.1111/j.1747-6593.1994.tb00913.x.
• Lambert, A., Brown, T.G., Takizawa, M., Weimer, D., 1999. A review of performance indicators for real losses from water supply systems, Journal of Water Supply: Research and Technology - AQUA 48:227–237. doi: 10.2166/aqua.1999.0025
• Liemberger, R., Brothers, K., Lambert, A., 2007. Water Loss Performance Indicators, Water 21. 148–160
• Liemberger, R., Farley, M., 2004. Developing a Non-Revenue Water Reduction Strategy Part 1 : Investigating and Assessing Water Losses. Proc IWA 4th World Water Congress and Exhibition 1924 September 2004 Marrakech Morocco 1–10
• Lipiwattanakarn, S. et al., 2019. Real benefits of leak repair and increasing the number of inlets to energy, Water Science&Technology, 14(3), 714–725.
• Mann, E., Frey, J., 2011. Optimized pipe renewal programs ensure cost-effective asset management". In: Pipelines 2011: A Sound Conduit for Sharing Solutions - Proceedings of the Pipelines 2011 Conference
• McKenzie, R., Seago, C., Liemberger, R., 2008. Benchmarking of Losses from Potable Water Reticulation Systems - Results from IWA Task Team. In: Proceedings of Water Loss 2008 New Zealand
• Moglia, M., Burn, S., Meddings, S., 2006. Decision support system for water pipeline renewal prioritisation, Electronic Journal of Information Technology in Construction
• Mutikanga, H.E., Sharma, S., Vairavamoorthy, K., 2009. Water loss management in developing countries: Challenges and prospects, Journal / American Water Works Association.
• Mutikanga, H.M., Sharma, S.K., Vairavamoorthy, K., 2013. Methods and Tools for Managing Losses in Water Distribution Systems, Journal of Water Resources Planning and Management, 139, 166–174
• Nafi, A, Werey, C, Llerena, P., 2008. Water pipe renewal using a multiobjective optimization approach. Canadian Journal of Civil Engineering. doi: 10.1139/L07-075
• Puust, R., Kapelan, Z., Savic, D., Koppel, T., 2010. A review of methods for leakage management in pipe networks, Urban Water Journal, 7, 25–45.
• Roshani, E., Filion, Y. 2014. "WDS leakage management through pressure control and pipes rehabilitation using an optimization approach", Procedia Engineering,89, 21–28.
• Yazdekhasti, S.,Piratla, K.R.,Sorber, J., Atamturktur, S., 2020. Sustainability Analysis of a Leakage-Monitoring Technique for Water Pipeline Networks, Journal of Pipeline Systems Engineering and Practice. 11(1), 04019052
• Zaman, D., Tiwari, M.K., Gupta, A.K., Sen, D., 2020. A Review of Leakage Detection Strategies for Pressurised Pipeline in Steady-State, Engineering Failure Analysis. 109, 104264
• Zyoud, S.H., Kaufmann, L.G., Shaheen, H., 2016. A framework for water loss management in developing countries under fuzzy environment: Integration of Fuzzy AHP with Fuzzy TOPSIS, Expert Systems with Applications, 61,86–105.