Assessing the failures in water distribution networks using a combination of geographic information system, EPANET 2, and descriptive statistical analysis: a case study

Abstract

Nowadays, issues related water are considered one of the most significant and vital problems in human societies. One of the fundamental branches of the water crisis is the distribution network-related problems. The present study attempted to extract, classify and verify the failure data obtained from the Preventive Maintenance database of Birjand Water Distribution Network (WDN). The WDN was meshed in terms of the rate of failures using a combination of Geographic Information Systems (GIS) and EPANET 2. Then it was assessed by using the descriptive statistical analysis method. Investigations revealed that the middle sections of WDN involved the highest rate of failures. Furthermore, the investigations demonstrated that from 2011 to 2016 the highest rate of failures per kilometer per year ranged in range of 0.6 to 1.8 which involved the highest aggregation for all cells. In this regard, the highest intensity aggregation of occurrence rate in 2011 was estimated as 1.

Water Supply Network Renewal Strategic Planning Utilizing the VIKOR Method

“…Water supply companies, to varying degrees, utilize free software such as EPANET 2.0 or EPANET 2.2 for hydraulic analysis and optimization of their water supply networks [33][34][35][36]. For the purpose of creating the hydraulic model of the Vojkovići water supply system within the EPANET 2.2 software, data concerning the existing types and materials of pipelines were gathered.…”

Optimal Exploitation of Urban Water Supply Networks Based on Pressure Management with the Nondominated Sorting Differential Evolution (NSDE) Algorithm

“…Therefore, one of the practical and effective solutions that has attracted the attention of researchers is the simultaneous use of the simulation-based optimization model. By using this approach, it is possible to integrate the hydraulic simulator model with the optimizer model to provide a more accurate and efficient solution [24]. The simulation-based optimization model allows the optimization algorithm to work with a more accurate representation of the real system, taking into account various constraints and parameters that can affect the performance of the system [25].…”

GIS-Based Assessment of the Potential for Treated Wastewater Reuse in Agricultural Irrigation: A Case Study in Northern Italy

“…Moreover, it is also important to consider the geographical distance between WWTPs and agricultural fields, because it could be the deciding factor for implementing this practice. A useful tool for these analyses could be geographical information systems (GISs), because this tool has been intensively used and integrated into almost every discipline to solve complex problems [40][41][42][43][44][45][46][47] and it represents a powerful solution to real-world problems [48,49].…”