Research Article
Performance Evaluation of Water Supply Construction Projects: A Case of Oromia Water and Energy Bureau
Getahun Nagari Nukuse*
,
Bahiru Bewket Mitikie
Issue:
Volume 15, Issue 3, June 2026
Pages:
51-61
Received:
7 November 2025
Accepted:
9 March 2026
Published:
4 June 2026
Abstract: The purposes of Construction performance evaluation, which involves setting new operating targets and standards has been raised among the majority of water supply construction projects. The thesis was focused on the factors identifying, performance evaluation, and improvement strategy, which makes a water supply construction project focus on identifying improvement areas. The goal of the study is to pinpoint the key elements influencing project performance and provide methods for enhancement. Both qualitative and quantitative methodologies were used in a mixed research strategy. 184 respondents, including clients, contractors, consultants, and community stakeholders engaged in 48 water supply construction projects carried out between 2019 and 2023, provided the data. Project characteristics, labor and material factors, contractual relationships, external environmental factors, client-related issues, contractor and consultant performance, safety and health conditions, leadership, and project procedures were among the categories of factors influencing project performance that were examined in this study. The data was analyzed using regression analysis and descriptive statistics with SPSS software. The findings showed that all of the projects under consideration had some level of cost escalation and delay, and the majority of water supply construction projects had considerable time and cost overruns. Contractor capability, consultant efficacy, project procedures, leadership, labor and material availability, client commitment, and external environmental circumstances are important variables that impact performance. The results demonstrate that while project procedures, quality flaws, and client satisfaction exhibit moderate significance, contractor and consultant-related factors, along with time and cost management, have very significant effects on project performance. The study concludes that modern construction management techniques like lean management, PDCA cycles, and Kaizen principles, as well as strengthening monitoring and evaluation systems and improving stakeholder coordination, can greatly improve project performance. In order to enhance the effectiveness, sustainability, and quality of water supply construction projects in the Oromia region, the study offers contractors, consultants, and project owners useful suggestions.
Abstract: The purposes of Construction performance evaluation, which involves setting new operating targets and standards has been raised among the majority of water supply construction projects. The thesis was focused on the factors identifying, performance evaluation, and improvement strategy, which makes a water supply construction project focus on identi...
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Research Article
A Hybrid STL - GEV and RNNs Models Approach for Monthly Extreme Discharge Forecasting in the Mono Basin
Issue:
Volume 15, Issue 3, June 2026
Pages:
62-75
Received:
24 May 2026
Accepted:
2 June 2026
Published:
23 June 2026
DOI:
10.11648/j.wros.20261503.12
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Views:
Abstract: Forecasting monthly extreme flows is a major challenge in hydrology due to their rarity and high intensity, particularly in tropical basins vulnerable to climate change. This study proposes an innovative hybrid approach combining STL decomposition, generalized extreme value (GEV) theory, and LSTM and GRU architectures to predict river flow: the case of the Mono River in Togo. The methodology is based on isolating the residual component, modeled by a GEV distribution, whose values are converted into probabilities using a cumulative distribution function. A unique feature of this approach is the incorporation of multivariate meteorological data. Unlike conventional approaches, the results show that the hybrid model particularly in its univariate sequential configuration reproduces extreme dynamics with a high degree of accuracy. The evaluation was conducted at various stations in Togo using the "Peak Over Threshold" approach, applied at the 75th percentile. At the Dotaicopé station, the model performed robustly, achieving an accuracy of 0.82, a recall of 0.74, an F1 score of 0.78, and a Kling-Gupta efficiency coefficient of 0.75. At the Tététou station, the multivariate model achieved an exceptional recall of 0.9, confirming its superior ability to detect critical thresholds in areas with high hydrological variability; the univariate model, on the other hand, performed less well in this regard, thereby demonstrating the significant contribution of climatic parameters. However, the study highlights a limitation related to data asymmetry, as climate forcings are only available starting in 1981, whereas discharge records date back to 1952. These results validate the potential of both univariate and multivariate probabilistic hybrid models for better characterization of hydrological regimes and early flood risk prevention.
Abstract: Forecasting monthly extreme flows is a major challenge in hydrology due to their rarity and high intensity, particularly in tropical basins vulnerable to climate change. This study proposes an innovative hybrid approach combining STL decomposition, generalized extreme value (GEV) theory, and LSTM and GRU architectures to predict river flow: the cas...
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