Development of flood early warning system based on the geoinformatics system in the Krukut River, Jakarta, Indonesia

This article aims to develop a Web-GIS based flood early warning system (EWS) for urban areas in Jakarta based on the overflow from Krukut River, where, in recent years, the flood has caused the great losses of lives and properties. There is a method for combining the real time data (water level, depth, flow distribution, velocity) with the digital data. These maps were used and were applied with the Fuzzy Logic to produce the flood early warning system maps. After model validation, the Fuzzy Logic method is used for finding the best fitting and classifying the alert level. The water level analysis (1999–2018) revealed the highest water level in 2014 that is 2.65 m and it could initiate the flood in aroundof the Krukut River areas. Later, the hydraulic simulation based on the water level to produce the inundation area (depth, flow distribution, velocity, and time) and then to combine with the digital data and alert level in accordance with the conditions of the study areaby using the Fuzzy Logic. Each inundation areas were associated with a hazard class (no warning vs. warning state) based on the assumption that the higher susceptibility will cuase the the lower rainfall. Finally, the EWS was developed by using the various libraries and frameworks that are connected with a reliable online-based water level application programming interface. The method in this system is publicly available, dynamic, and replicable. The proposed EWS is novel and the first of its kind in Jakarta is especially used for the Krukut River, and can be applied to mitigate the flood disaster risks.