Abstract

This research integrates Real-Time Storm Sewer Simulation model (RTSS) and SWMM Parameters Optimization Model (SPOM) to develop a Sewer Warning System For Mobile Devices (MDSWS). The RTSS and SPOM are integrated into a web service to provide online storm sewer simulation and parameter optimization of SWMM. A mobile App is then developed using HTML5, CSS3, JavaScript and PhoneGap technologies. The App can be applied for real-time storm sewer simulation and warning; the simulated results then be shown immediately on Google maps. In this research, Zhunggung, Baoyi and Shijian drainage systems in Taipei city are employed as the case study. The MDSWS receives real-time rainfall data from Central Weather Bureau to simulate storm sewer conditions of the case studies. The simulated results compared with that simulated by Urban Sewer Warning System (USWS) are identical. In addition, the Google map provides user with visual layers, achieves early warning, and reduces flood damage by warning icons, which can show manhole status. Consequently, it is possible to further achieve the realtime warning for storm sewers so as to mitigate the disasters.

Keywords: SWMM; Google maps; App; Storm sewer; Real-time; simulation