Junming ZHANG
Research Topic
Creating predictive models for underground water/wastewater infrastructures
Research Abstract
Water/wastewater infrastructure in developed countries is rapidly aging, with many sewer and drinking water systems approaching or exceeding their design lifespans. Due to limited manpower and financial constraints, comprehensive replacement or repair is not feasible, and there is an urgent need for predictive tools and effective indicators that enable proactive maintenance and risk-based resource allocation. This study develops predictive models for underground pipeline degradation. The focus includes sewer pipelines and drinking water pipelines, with corrosion assessed from both internal and external sources.
Conference Presentations
- Sewer pipe corrosion estimation using habitat potential of sulfate-reducing bacteria in wastewater
Junming Zhang, Kanki Watanabe, Mohan Amarasiri, Wakana Oishi, Daisuke Sano
Singapore International Water Week 2026
2026年6月16-18日、Sands Expo & Convention Centre, Marina Bay Sands, Singapore