Hydraulic and Water Quality Modeling of the Drinking Water Supply Network

Ben-Daoud, Mohamed; Ben-Daoud, Abderrahmane; Sayad, Ahmed; Mansouri, Bouâbid El; Kili, Malika; Elaoufir, Radouane; Elgasmi, Houssine

doi:10.1145/3399205.3399253

Cited by 2 publications

(1 citation statement)

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“…313-321) have been published and used as computer programs for a long time to calculate hydraulic parameters of interest, namely the headloss along pipes, flowrates and material transport with chemical reactions. It should also be noted that there is no standardised and legally obligatory methodologies for network hydraulic calculations, but an extensive number of different case studies are available in the literature (Ben-Daoud et al, 2020;Kourbasis et al, 2020;Mentes et al, 2020).…”

Section: Available Datamentioning

confidence: 99%

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

Salamon¹,

Papp²,

Goda³

2021

Security and Defence Quarterly

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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.

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Section: Available Datamentioning

confidence: 99%