Analysis of the Evolution of Water Quality in Tanks According to the Connections and Operation Mode: Application to the Most Suitable Design

Author:

Hervás Marta12ORCID,Martínez-Alzamora Fernando3ORCID,Conejos Pilar12ORCID

Affiliation:

1. Department of Hydraulic Engineering and Environment, Universitat Politècnica de València, 46022 Valencia, Spain

2. G.O. Idrica, 46010 Valencia, Spain

3. Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, 46022 Valencia, Spain

Abstract

The analysis and simulation of water quality in distribution networks is a complex issue of great concern today. The analysis of the evolution of water age as a simple indicator of water quality in the network is of great interest in both the design and operation phases. Understanding the factors that have the strongest influence on water quality is key to developing adequate strategies aimed at preserving it. This paper first analyses the factors with the biggest influence on the tank’s water age to support the selection of the most appropriate configuration from the point of view of water quality during design phases. Then, the main considerations when modelling tanks following the different mixing models considered in Epanet are presented. Also, real tank behaviour is characterised through field measurements and Epanet simulations in order to determine the best-fitting mixing model.

Publisher

MDPI AG

Reference31 articles.

1. Water quality in the distribution system. A review;Spencer;J. AWWA,2012

2. Grayman, W., Clark, R., Harding, B., Maslia, M., and Aramini, J. (2004). Book Water Security and Safety, McGraw-Hill.

3. Janke, R., Tryby, M., and Clark, R. (2014). Book Securing Water and Wastewater Systems Global Experiences, Springer-Science.

4. Parault, P., and Ziemann, S. (2023). Book Handbook for Water Distribution Systems Model Calibration, AWWA.

5. Hervás, M., Martínez-Alzamora, F., Conejos, P., and Alonso, J.C. (2024). Advantages of the Event Method for the Simulation of Water Quality in Pressurised Water Systems. Water, 16.

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