Pindiga AM, Sani MJ (2015) Mapping of Water Distribution Network using GIS Technology in Bauchi Metropolis, Nigeria 5(13):88–95 MoWR (2006) Urban water supply design criteria, ministry of water resources, Addis Ababa Kruszynski W, Dawidowicz J (2020) Computer modeling of water supply and sewerage networks as a tool in an integrated water and wastewater management system in municipal enterprises. Kapelan Z, Savic DA, Walters GA (2005) Optimal sampling design methodologies for water distribution model calibration. Kapelan Z, Savic DA, Walters GA (2007) Calibration of WDS Hydraulic Models using the Bayesian Recursive Procedure. Herrin G, Smith C (2017) Hydraulic modeling for Esri © ArcGIS users In PROCEDIA ENGINEERING - ISSN:1877-7058 vol. Morosini AF, Costanzo F, Veltri P, Savic D (2014) Identification of measurement points for calibration of water distribution network models.
In EPIC SERIES IN ENGINEERING - ISSN:2516-2330 vol. In HIC 2018 13th International Conference on Hydroinformatics. Morosini AF, Caruso O, Veltri P (2018) Comparison between calibration and sensitivity approach in water network management in Emergency conditions. (asce)wr.1943-5452.0000841Įljamassi A, Abeaid RA (2013) A GIS-based DSS for management of water distribution networks (Rafah City as Case Study). J Water Resour Plan Manag 334–344ĭo NC, Simpson AR, Deuerlein JW, Piller O (2017) Particle Filter–Based Model for Online Estimation of Demand Multipliers in Water Distribution Systems under Uncertainty. Hence, the implementation of the WaterGEMs hydraulic model integrated approach with GIS enabled to estimate the pressure and velocity of the system with better accuracy and this will be helpful for sustainable management of the water distribution system.Īlrayess H, Ulke A (2017) Evaluation and development of spatial decision support system 33–40īush C, Uber J (1998) Sampling design methods for water distribution model calibration. The velocity of water in the pipes of the distribution system were found to be within the standard range from 0.2 to 2m/s which covers 82.7% (162 out of 196 pipes). Results of the analysis show that 92.6% of nodes reached optimized pressure ranging between 15m to 70m and about 1.27% are under permissible pressure while the remaining nodes have above the permissible pressure. The WaterGEMS hydraulic model was calibrated (R 2=0.93) using measured data at 10 randomly selected nodes. In this paper, a case study of hydraulic performance was evaluated using WaterGEMS hydraulic model integrated with GIS at Tulu Bolo town. The investigation of the global network vulnerabilities has revealed several critically exposed systems, and the local distributions unveiled new properties of WDNs in the case of a random pipe break.Understanding hydraulic performance of water distribution system is crucial for sustainable management of a water supply system. It was found that metrics based purely on topology suggest different network behaviour as vulnerability analysis, which also includes the hydraulics. network diameter, clustering coefficient). 27 comprehensive real-life WDNs have been examined by means of the new metric and with the help of complex network theory, exploiting the concept of the degree distribution and topology-based structural properties (e.g. A novel, objective, dimensionless, segment-based quantity is proposed to evaluate the vulnerability of both the segments and the whole WDN against a single, incidental pipe break, computed as the product of the probability of failure within the segment and the amount of unserved consumption. This paper explores the behaviour and topology of segments, especially their criticality from the viewpoint of the whole system.
The affected area must be segregated by closing the corresponding isolation valves as a result, the required amount of drinking water might not be available. Even the best-maintained water distribution network (WDN) might suffer pipe bursts occasionally, and the utility company must reconstruct the damaged sections of the system.