Smart Forecasting and Corrosion Risk Assessment of Urban Steel Pipeline Networks: A Case Study of Guangzhou (2002–2022)

This study addresses the forecasting and corrosion risk assessment of urban steel pipeline networks in Guangzhou from 2002 to 2022. It examines infrastructure deterioration under urbanization and industrial growth pressures, focusing on pipeline integrity affected by factors such as mechanical stress, chemical corrosion, and microbial influence. Data-driven methodologies, including probabilistic failure models and advanced non-destructive testing techniques like remote field eddy current testing (RFEC) and side scanning evaluation technology (SSET), are applied to evaluate pipeline conditions and predict failure likelihood. The integration of environmental monitoring data with risk analysis supports optimized maintenance scheduling and resource allocation. The research highlights the importance of multi-stakeholder data coordination and scenario-based risk ranking to enhance urban water system resilience. Results inform decision support systems that prioritize asset renewal based on cost-benefit analyses and key performance indicators. This framework contributes to sustainable infrastructure management strategies amid complex urban and environmental challenges.