A framework of Realtime Flood Simulation with IoT Sensors

Flood simulation has been develop for years, and it's common to engineers consider models like FLO-2D、HEC-RAS、SOBEK、SWMM in Taiwan. However, time consuming is a threshold preventing the flood models operated in a real... [ view full abstract ]

Flood simulation has been develop for years, and it's common to engineers consider models like FLO-2D、HEC-RAS、SOBEK、SWMM in Taiwan. However, time consuming is a threshold preventing the flood models operated in a real time fashion.   This research will setup a flood simulation framework by using a split-apply-combine strategy to derive the possible distributed computation.  The operation is to carry out a flood nowcast for next three hours in an hourly frequency.  Thus, in addition to gather all the observed and forecasting rainfall, available computation time is limited only within half an hour.  In other way, we set up the IoT(Internet of Things) Flood Sensors in Annan Dist., Tainan City, Taiwan, to compare the difference of simulation and observation and verify the model accuracy. Along with IoT tech specification, the abilities of small volume, low power consumption, and high adaptation in climate make it possible to be set up in urban are. From 2016, datas of three events were collected including 20160611 storm, 20160927 typhoon Megi(NO.1617) and 20170730 typhoon Haitang(NO.1710).