Water age modeling as a tool to improve the quality and reduce the costs of water treatment in Polanica-Zdrój
PDF

Keywords

hydraulic modeling
water age
water quality
gis

How to Cite

Kruszynski, W., Andraka, D., Kaźmierczak, B., Jaroszewicz, K., & Moskal, M. (2023). Water age modeling as a tool to improve the quality and reduce the costs of water treatment in Polanica-Zdrój. Economics and Environment, 86(3), 436–452. https://doi.org/10.34659/eis.2023.86.3.564

Abstract

The article contains part of the results of the project Protection of Natural Water Resources in Polanica-Zdrój through Intelligent Water and sewage management. The article presents the research results into the water supply network (WDN). The aim of the research was to improve the quality of water and reduce the cost of its treatment by reducing the age of the water. For this purpose, a model was built that takes into account the time in which water stays in a given section from the moment it flows out of the intake and mixes with the water already present in the network. The research was preceded by the construction of a model based on GIS geodetic data and a digital terrain model. On the basis of the simulations and analyses carried out, a solution was proposed to reduce the average age of water in the investigated WDN.

https://doi.org/10.34659/eis.2023.86.3.564
PDF

References

AWWA. (2002, August 15). Effects of Water Age on Distribution. System Water Quality. https://www.epa.gov/sites/default/files/2015-09/documents/2007_05_18_disinfection_tcr_whitepaper_tcr_waterdistribution.pdf

Clarke, R. (2012). Modeling Water Quality in Distribution Systems (2nd Edition). American Water Works Association.

Desta, W. M., Feyessa, F. F., & Debela, S. K. (2022). Modelling and optimisation of pressure and water age for evaluation of urban water distribution systems performance. Heliyon, 8(11), e11257. https://doi.org/10.1016/j.heliyon.2022.e11257

Farmani, R., Walters, G., & Savic, D. (2006). Evolutionary multi-objective optimisation of the design and operation of water distribution network: total cost vs. reliability vs. water quality. Journal of Hydroinformatics, 8(3), 165-179. https://doi.org/10.2166/hydro.2006.019b

Gwoździej-Mazur, J., & Świętochowski, K. (2021). Evaluation of Real Water Losses and the Failure of Urban-Rural Water Supply System. Journal of Ecological Engineering, 22(1), 132-138. https://doi.org/10.12911/22998993/128862

Haghiabi, A. H., Nasrolahi, A. H., & Parsaie, A. (2018). Water quality prediction using machine learning methods. Water Quality Research Journal, 53(1), 3-13. https://doi.org/10.2166/wqrj.2018.025

Imran, S. A. (2022, November 12). Water Quality in the Distributions System. https://www.gov.nl.ca/ecc/files/waterres-training-adww-manageoperation-05-syed-imran-gander-conference.pdf

Kourbasis, N., Patelis, M., Tsitsifli, S., & Kanakoudis, V. (2020). Optimising Water Age and Pressure in Drinking Water Distribution Networks. Environmental Sciences Proceedings, 2(1), 51. https://doi.org/10.3390/environsciproc2020002051

Lahlou, Z. M. (2022, November 10). Water Quality in Distribution Systems. https://www.nesc.wvu.edu/files/d/f0dc634f-dd46-4fa6-99a1-f31c2806386b/water-quality-in-distribution-systems.pdf

Malmur, R., Mrowiec, M., Ociepa, E., & Deska, I. (2018). Sustainable Water Management in Cities Under Climat Changes. Problems of Sustainable Development, 13(1), 133-138.

Rossman, L. A., Woo, H., Tryby, M., Shang, F., Janke, R., & Haxton, T. (2020). EPANET 2.2 User Manual. https://epanet22.readthedocs.io/_/downloads/en/latest/pdf/

Shamsaei, H., Jaafar, O., & Basri, N. E. A. (2013). Effects residence time to water quality in large water distribution systems. Engineering, 5(4), 449-457. https://doi.org/10.4236/eng.2013.54054

Sitzenfrei, R. (2021). Using complex network analysis for water quality assessment in large water distribution systems. Water Research, 201, 117359. https://doi.org/10.1016/j.watres.2021.117359

Studzinski, J. (2015). ICS System Supporting the Water Networks Management by Means of Mathematical Modelling and Optimization Algorithms. Journal of Automation Mobile Robotics and Intelligent Systems, 9(4), 48-54. https://doi.org/10.14313/JAMRIS_4-2015/32

Sunela, M. I., & Puust, R. (2015). Real Time Water Supply System Hydraulic and Quality Modeling – A case study. Procedia Engineering, 119, 744-752. https://doi.org/10.1016/j.proeng.2015.08.928

Świętochowska, M., & Bartkowska, I. (2022). Analysis of Water Age and Flushing of the Water Supply Network of the Pressure Re-duction Zone. Journal of Ecological Engineering, 23(10), 229-238. https://doi.org/10.12911/22998993/152458

Tabesh, M., & Doulatkhah, A. (2006). Effects of pressure dependent analysis on quality performance assessment of water distribution networks. Iranian Journal of Science and Technology Transaction B: Engineering, 30(1), 119-128.

Wang, Y., & Zhu, G. (2022). Hydraulic and Water Quality Reliability of Water Distribution System under Uncertain Conditions. Journal of Pipeline Systems Engineering and Practice, 13(4), 04022035. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000676

Zimoch, I., & Bartkiewicz, E. (2018). Modeling of water age as an element supporting the management of the water supply system. Proceedings of the ECOpole, Polanica Zdrój, Poland, 12(2), 611-620. https://doi.org/10.2429/proc.2018.12(2)064

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Copyright (c) 2023 Economics and Environment

Downloads

Download data is not yet available.