Integrated Performance Evaluation Indicators for Water Supply Systems | ||||
Engineering Research Journal | ||||
Article 2, Volume 174, Issue 0, June 2022, Page 22-37 PDF (439.56 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/erj.2022.241970 | ||||
View on SCiNiTO | ||||
Author | ||||
Mohamed Ahmed Reda Hamed* | ||||
Assistant Professor, Civil Engineering Department, Canadian International Colleague (CIC), El Sheikh Zayed, Giza, Egypt | ||||
Abstract | ||||
Water supply systems (WSSs) process optimization can be considered as one of the highest importance priorities in core public infrastructures management challenges. The primary goal of water service is to operate this valuable asset with the utmost efficiency possible at an acceptable cost throughout its life. Achieving this objective primarily requires assessing the existing performance of all components of the WSS using distinct performance indicators (PIs). Various international water bodies have developed detailed performance assessment frameworks based on multiple indicators to comprehensively cover all WSSs. On this basis, the present study proposes a conceptual WSSs performance evaluation framework linking various water collection, treatment, and distribution processes with their PIs groups and corresponding categories. However, multi-attribute utility theory (MAUT) was used to provide a stepwise approach, starting abroad range of quantitative and qualitative drinking water performance evaluation process depending on specific operating conditions. Meanwhile, the integrated performance evaluation indicators (IPEI) for elven extended Cairo drinking WSSs were developed to determine the overall complex interrelationship between the targets evaluating indicators sets. The results of this study are a very useful entry point for water services providers to put forward their basis selection, ranking of WSSs critical elements, and consequently developing the required future plans | ||||
Keywords | ||||
Water Supply Systems; Infrastructures Management; Multi-Attribute Utility Theory; Integrated Performance Evaluation Indicators | ||||
Statistics Article View: 133 PDF Download: 128 |
||||