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Possible applications of GIS tools in order to prepare for drinking water distribution network emergencies

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Data acquisition and computerised analysis can be used to plan for emergencies related to important pipe networks. The objective of this study is to illustrate how GIS and hydraulic calculations may be used to reduce the impact of unexpected events, such as contamination and physical destruction and train operators for such scenarios. A case study with calibrated hydraulic calculations is used to investigate the uncertainty of the obtained information. Hydraulic conditions and contaminant transport are simulated with open source software. It is shown how GIS analysis can be utilised to find optimal solutions for flow redirection problems and shutting off portions of the network. A control system integrated network hydraulic simulation solution is described in order to make training and preparation more efficient. The investigation revealed serious deficiencies regarding the necessary input for running simulations. Contaminant transport results indicated that localisation based on computed water quality models is possible, but contains uncertainties. Data processing and simulation are shown to be a promising tool in decision support and preparation based on the applications outlined. Despite advanced databases and computerised analysis tools, collected data and dynamic simulation are not utilised to their full potential in the process of planning for emergencies. Based on the hypothetical simulation presented, further research and data collection are required to reduce the uncertainty of contaminant transport. For future research, more effort has to be put into developing simulation environments.
Rocznik
Strony
21--36
Opis fizyczny
Bibliogr. 21 poz., rys., tab.
Twórcy
  • Department of Water Supply and Sewerage, Faculty of Water Sciences, University of Public Service, 2 Ludovika tér, H-1083 Budapest, Hungary
autor
  • Department of Water Supply and Sewerage, Faculty of Water Sciences, University of Public Service, 2 Ludovika tér, H-1083 Budapest, Hungary
autor
  • Department of Water Supply and Sewerage, Faculty of Water Sciences, University of Public Service, 2 Ludovika tér, H-1083 Budapest, Hungary
Bibliografia
  • 1. Ben-Daoud, M., Ben-Daoud, A., Sayad, A., Elmansouri, B., Kili, M., Elaoufir, R., and Elgasmi, H. (2020) ‘Hydraulic and Water Quality Modeling of the Drinking Water Supply Network: Fnideq City (Morocco) as a Case’, in ACM International Conference Proceeding Series. doi: 10.1145/3399205.3399253.
  • 2. Bibby, K., Crank, K., Greaves, J., Li, X., Wu, Z., Hamza, I. A., and Stachler, E. (2019) ‘Metagenomics and the development of viral water quality tools’, npj Clean Water, 2(1), pp. 1–13. doi: 10.1038/s41545-019-0032-3.
  • 3. Creaco, E. and Franchini, M. (2014) ‘Comparison of Newton-Raphson Global and Loop Algorithms for Water Distribution Network Resolution’, Journal of Hydraulic Engineering, 140(3), pp. 313–321. doi: 10.1061/(ASCE)HY.1943-7900.0000825.
  • 4. Cross, H. (1936) ‘Analysis of flow in networks of conduits or conductors’, University of Illinois at Urbana Champaign, College of Engineering, Engineering Experiment Station. Available at: https://www.ideals.illinois.ed... (Accessed: 13 September 2020).
  • 5. Duzinkiewicz, K. and Ciminski, A. (2006) ‘Drinking water distribution system modelling – An approach to skeletonization’, in IFAC Proceedings Volumes (IFAC-PapersOnline). IFAC Secretariat, pp. 244–249. doi:10.3182/20060830-2-sf-4903.00043.
  • 6. Fisher, I., Kastl, G. and Sathasivan, A. (2011) ‘Evaluation of suitable chlorine bulk-decay models for water distribution systems’, Water Research, 45(16), pp. 4896–4908. doi: 10.1016/j.watres.2011.06.032.
  • 7. Fisher, I., Kastl, G. and Sathasivan, A. (2012) ‘A suitable model of combined effects of temperature and initial condition on chlorine bulk decay in water distribution systems’, Water Research, 46(10), pp. 3293–3303. doi:10.1016/j.watres.2012.03.017.
  • 8. Jamwal, P., Naveen, M. N. and Javeed, Y. (2016) ‘Estimating fast and slow reacting components in surface water and groundwater using a two-reactant model’, Drinking Water Engineering and Science, 9(1), pp. 19–25. doi: 10.5194/dwes-9-19-2016.
  • 9. Jose, N. and Sumam, K. S. (2016) ‘Optimal Water Distribution Network Design Accounting for Valve Closure’, Procedia Technology, 24, pp. 332–338. doi: 10.1016/j.protcy.2016.05.044.
  • 10. Kourbasis, N., Patelis, M., Tsitsifli, S., Kanakoudis, V. (2020) ‘Optimizing Water Age and Pressure in Drinking Water Distribution Networks’, Environmental Sciences Proceedings, 2(1), p. 51. doi: 10.3390/environsciproc2020002051.
  • 11. KSH (2020) STADAT – 6.2.2.11. Közműolló, december 31. (2000), Közműolló. Available at: http://www.ksh.hu/docs/hun/xst... (Accessed: 13 September 2020).
  • 12. Liu, G., Zhang, Y., Liu, X., Hammes, F., Liu, W. T., Medema, G., Wessels, P., and Van Der Meer, W. (2020) ‘360-Degree Distribution of Biofilm Quantity and Community in an Operational Unchlorinated Drinking Water Distribution Pipe’, Environmental Science and Technology, 54(9), pp. 5619–5628. doi: 10.1021/acs.est.9b06603.
  • 13. Mentes, A. Galiatsatou, P., Spyrou, D., Samaras, A., and Stournara, P. (2020) ‘Hydraulic simulation and analysis of an urban center’s aqueducts using emergency scenarios for network operation: The case of Thessaloniki City in Greece’, Water, 12(6). doi: 10.3390/W12061627.
  • 14. Monteiro, L. et al. (2014) ‘Modeling of chlorine decay in drinking water supply systems using EPANET MSX’, in Procedia Engineering, pp. 1192–1200. doi: 10.1016/j.proeng.2014.02.132.
  • 15. Pella, H. and Ose, K. (2018) ‘Network Analysis and Routing with QGIS’, in Baghdadi, N., Mallet, C. and Zribi, M. (eds) QGIS and Applications in Water and Risks. Hoboken, NJ, USA: Wiley, pp. 105–144. doi:10.1002/9781119476726.ch4.
  • 16. Pollard, D. (2018) ‘Yemeni Crisis Dynamics: Water Security and Possible Routes to Civilian Casualty Minimization’, SSRN Electronic Journal, 211. doi: 10.2139/ssrn.3266711.
  • 17. Rossman, L. A. (2000) EPANET 2 User’s Manual. Washington, D. C.: U.S. Environmental Protection Agency. doi: 10.1177/0306312708089715.
  • 18. Shu, S. (2011) ‘Microscopic model calibration of chlorine decay in water distribution system’, in Procedia Engineering, 15, pp. 3500–3504. doi: 10.1016/j.proeng.2011.08.655.
  • 19. Simões, J. and Dong, T. (2018) ‘Continuous and real-time detection of drinking-water pathogens with a lowcost fluorescent optofluidic sensor’, Sensors, 18(7). doi: 10.3390/s18072210.
  • 20. Sunela, M. I. and Puust, R. (2015) ‘Real time water supply system hydraulic and quality modeling-a case study’, in Procedia Engineering, 119, pp. 744–752. doi: 10.1016/j.proeng.2015.08.928.
  • 21. Wu, W., Gao, J., Yuan, Y., Zhao, H., and Chang, K. (2011) ‘Water distribution network real-time simulation based on SCADA system using OPC communication’, in 2011 International Conference on Networking, Sensing and Control, ICNSC 2011. IEEE Computer Society, pp. 329–334. doi: 10.1109/ICNSC.2011.5874916.
Uwagi
„Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).”
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-21c84cfd-980c-4938-a455-b886458b9691
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