IMPACT OF DATA RELIABILITY ON RESILIENCE-BASED DECISION MAKING IN A WATER DISTRIBUTION SYSTEM

Author

Amrit Babu Ghimire, Southern Illinois University CarbondaleFollow

Date of Award

5-1-2024

Degree Name

Master of Science

Department

Civil Engineering

First Advisor

Shin, Sangmin

Abstract

This thesis explores the increasing necessity for resilience in Water Distribution Systems (WDS) facing challenges like leakage, missing data, and cyber-physical attacks. Resilience-based strategies enhance WDS sustainability by minimizing losses and ensuring quick recovery. Integrating smart systems, utilizing real-time data, boosts infrastructure resilience by improving efficiency and responsiveness. Data precision is essential for practical system analysis, development of resilience strategy, and making real-time decisions. The study also investigates into the potential of decentralization, combined with smart systems, to enhance WDS resilience, considering diverse water resources and hybrid systems. It seeks to answer critical questions about resilience in various failure scenarios and the impact of deviating pressure values at demand nodes.Acknowledging vulnerabilities introduced by smart systems, especially in cyber-physical attacks, the study emphasizes the critical role of data reliability during such threats. Data imputation techniques emerge as a promising solution for challenges like manipulated and missing data, ensuring a more complete dataset for resilience-based decision-making. The study investigates how different degrees of data reliability influence the decision-making process and the evaluation of WDS resilience, specifically focusing on assessing existing data imputation models. The thesis outlines a comprehensive approach, utilizing laboratory-scale experiments and the C-town benchmark WDS model, to enhance understanding of the significance of data reliability in WDS resilience.