Development of Multi-Hazard Early Warning System in Indonesia

Abstract

This paper discusses the results of Multi-hazard Early Warning System (MHEWS) development that combine weather prediction from Weather Research and Forecasting (WRF) and hydrometeorology hazard index from National Disaster Management Authority (BNPB), Indonesia. Until now, the predicted hazards in MHEWS that has been produced are flood, landslide, and extreme weather. These indices were obtained by using overlay approach and resample methods so that the data have 100 m spatial resolution. All potential hazard indices are classified into 4 status categories. These categories are “No alert”, ‘Advisory”, “Watch”, and “Warning”. Flood potential was produced by using overlay methods between 3-hours interval rainfall prediction and flood index. Landslide potential was produced from overlay method between rainfall prediction and landslide index. Extreme weather potentials are divided into 3 categories which are heavy rain, strong winds, and high wave. The whole of prediction is dynamic following weather prediction in 3-hourly interval. Then, this hazard prediction results will provide “warning” sign especially for the alert status “emergency”. This sign will be set up into notification system for making user easier to identify the most dangerous hydrometeorology hazard event.