Open Access
E3S Web Conf.
Volume 17, 2017
9th Conference on Interdisciplinary Problems in Environmental Protection and Engineering EKO-DOK 2017
Article Number 00010
Number of page(s) 7
Published online 24 May 2017
  1. B. Pawełek, A. Zeliaś, S. Wanat, Prognozowanie ekonomiczne, Teoria przykłady zadania (Wydawnictwo Naukowe PWN, Warszawa, 2003) [Google Scholar]
  2. K. Pietrucha-Urbanik, B. Tchórzewska–Cieślak, M. Urbanik, Analysis of the gas network failure and failure prediction using the Monte Carlo simulation method, Eksploat Niezawodn 18, 254-259 (2016) [CrossRef] [Google Scholar]
  3. K. Pietrucha-Urbanik, Failure analysis and assessment on the exemplary water supply network, Eng Fail Anal 57, 137-142 (2015) [CrossRef] [Google Scholar]
  4. J.P. Leitao, A. Martins, C. Amado, Comparative Study of Three Stochastic Models for Prediction of Pipe Failures in Water Supply Systems, J Infrastruct Syst 19, 442-450 (2013) [CrossRef] [Google Scholar]
  5. X. Jing, An integrated prediction model for water supply-demand ability, 4th International Conference on Advanced Materials and Information Technology Processing (AMITP), ACSR-Advances in Comptuer Science Research, Guilin, 2016, 60, 528–531. [Google Scholar]
  6. J. Han, The Analysis and Prediction of Water Supply and Demand for Beijing in future, 3rd International Conference on Education, Management and Computing Technology (ICEMCT), Advances in Social Science Education and Humanities Research, Hangzhou, 2016, 59, 1050–1053 [Google Scholar]
  7. J. Łomotowski, Z. Siwoń, W. Cieżak, P. Licznar, J. Cieżak, Analizy i prognozowanie rozbiorów wody w systemach wodociągowych (Komitet Inżynierii Lądowej i Wodnej PAN, Warszawa, 2008) [Google Scholar]
  8. J. Ciezak, W. Ciezak, Routine forecasting of the daily profiles of hourly water distribution in cities. An effectiveness analysis, Environ Prot Eng 41, 179-186 (2015) [Google Scholar]
  9. Z. Siwoń, W. Cieżak, J. Cieżak, Water demand modeling for housing estates, Och Śr 30, 23–28 (2008). [Google Scholar]
  10. J. Cieżak, Z. Siwoń, W. Cieżak, Praktyczne aspekty badań strat wody w sieciach wodociągowych, Och Śr 4, 25-30 (2004) [Google Scholar]
  11. A. Studzinski, K. Pietrucha-Urbanik, Analysis of water pipe breakage in Krosno, Poland, Environmental Engineering IV, Dudzińska M. R. Pawłowski L., Pawłowski A., Editor, London: Taylor & Francis Group, 59-62 (2013) [Google Scholar]
  12. B. Tchórzewska-Cieślak, D. Szpak, A Proposal of a Method for Water Supply Safety Analysis and Assessment, Och Śr 37, 43-47 (2015) [Google Scholar]
  13. B. Tchórzewska-Cieślak, Urban Water Safety Management, Chemical Engineering Transactions, V; DeRademaeker Cozzani E; Pierucci S; Klemes JJ, Editor, Milano, ITALY: AIDIC SERVIZI SRL, 201-206 (2012) [Google Scholar]
  14. B. Tchórzewska-Cieślak, Estimating the acceptance of bearing the cost of the risks associated with the management of water supply system, Och Sr 29, 69-72 (2007) [Google Scholar]
  15. J. Rak, B. Kucharski, Slude management in water treatment plants, Environ Prot Eng 35, 15-21 (2009) [Google Scholar]
  16. K. Boryczko, B. Tchórzewska-Cieślak, I. Piegdoń, Possibilistic risk analysis of failure in water supply network, Safety and Reliability: Methodology and Applications, Nowakowski et al. (Eds), Editor, London: Taylor & Francis Group, 1473–1480 (2015) [Google Scholar]
  17. K. Boryczko, Water age in the water supply network as health risk factor associated with collective water supply, Ecol Chem Eng A 23, 33-43 (2016) [Google Scholar]
  18. A. Kotowski, B. Kaźmierczak, M. Wdowikowski, Trend Analysis of Annual and Seasonal Precipitation Amounts in the Upper Odra Catchment, Och Sr 36, 49-54 (2014) [Google Scholar]
  19. M. Kutylowska, Neural network approach for failure rate prediction, Eng Fail Anal 47, 41-48 (2015) [CrossRef] [Google Scholar]
  20. A. Studzinski, K. Pietrucha-Urbanik, Selected issues of costs and failure of pipes in an exemplary water supply system, Rocz Ochr Sr 18, 616-627 (2016) [Google Scholar]
  21. L. Liu, B. Wang, G. H. Huang, et al., Forecast-based analysis for regional water supply and demand relationship by hybrid Markov chain models: a case study of Urumqi, China, J Hydroinform 18, 905-918 (2016) [CrossRef] [Google Scholar]
  22. K. Boryczko, A. Pasierb, Method for forecasting the failure rate index of water pipelines Environmental Engineering V, M. Pawlowska, L. Pawłowski Editor, London: Taylor & Francis Group, 15-24 (2017) [Google Scholar]
  23. J. Kaleta, D. Papciak, A. Puszkarewicz, Removal of Ammonia Nitrogen from Groundwater on Chalcedony Deposits in Two-stage Biofiltration Process, Rocz Ochr Sr 15, 1352–1366 (2013) [Google Scholar]
  24. B. Tchórzewska-Cieślak, K. Boryczko, Analysis of risk of failure in water main pipe network and of developing poor quality water, Environ Prot Eng 40, 77-92 (2014) [Google Scholar]
  25. J. Bajer, Economical and reliability criterion for the optimization of the water supply pumping stations designs, Environmental Engineering IV, Dudzińska M. R. Pawłowski L., Pawłowski A., Editor, London: Taylor & Francis Group, jhio9yu6j 21-28 (2013) [Google Scholar]
  26. E. Szymura, I. Zimoch, Operator reliability in risk assessment of industrial systems function, Przem Chem 93, 111-116 (2014) [Google Scholar]

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