Mitigating the Impacts of Combined Sewer Overflow to an Urban River System via Web-based Share-vision Modeling

Storm water overflow from the combined sewer system might result in a sudden devastating impact to the local ecosystem in an urban river environment. In order to assess overflow pollution load during tropical rainfall, a web-based share vision modelling system is organized and designed in this study to investigate the resultant water quality impacts from both spatial and temporal aspects simultaneously. The study area covers the estuarine region in the Love River system in South Taiwan. The architecture of such a Decision Support System (DSS) requires applying, integrating, and linking the web-based database, Internet Geographic Information System (IGIS), and two well-calibrated water quality simulation models, including Storm Water Management Model (SWMM) and the Lover River Hydrodynamic and Water Quality model (LRHWQ). By properly sharing information, vision, and modelling outputs among different stakeholders and decision makers via a web-based platform, a more efficient emergency management action is achievable in response to mitigating possible ecological risk in the estuarine rehabilitation process.