dc.description.abstract | Water resource management is a core method for ensuring the world’s sustainable development. Water resource management units urgently need to promote the use of appropriate tools to assist in maintenance, operational management, analysis, and decision-making. This study anticipates leveraging artificial intelligence, hydrological analysis, and other technologies to aid decision-makers in understanding the overall distribution of water pressure and flow within the water supply zone, as well as identifying potential water leakage conditions. Further analysis of the risk characteristics of each pipeline will allow us to propose strategies for improvement and sustainable development, mainly focusing on high-risk pipelines. This study integrates hydrological analysis into risk assessment to provide a clearer understanding of the potential impact on users, addressing past shortcomings by enhancing the accuracy of calculating affected users in risk analysis, thereby offering more optimized risk assessment recommendations. The findings of this research are categorized into three stages.
1.Initial Stage: This stage utilizes the existing water pipeline network structure of the Taipei Water Department and automates the extraction of the pipeline network structure to generate the required INP files for hydraulic analysis. In addition to facilitating the reading and analysis by hydraulic analysis software (EPANET), the conversion results are compared with commercial software (WaterGEMs) and show a similarity of over 99%WaterGEMs, indicating the reliability of the automated export process.
2.Second Stage: This stage involves employing genetic algorithms to conduct model calibration. After adjusting the model parameters through the calibration procedure, the analysis results closely align with on-site measurement results. The calibration results are superior to those obtained with WaterGEMs, the error of only 8.97% compared to 24-hour monitoring data.
3.Final Stage: This stage combines logistic regression, hydraulic analysis, and liquefaction potential to conduct risk assessments of water pipelines. The integrated risk assessment model (SynerRisk) accurately depicts the number of affected users and provides detailed analysis results for individual pipelines. This approach better meets the management requirements of the Taipei Water Department and serves as a foundation for pipeline maintenance management and replacement decisions. | en_US |