Development of Hydro-Meteorological Hazard Early Warning System in Indonesia

Journal of Engineering and Technological Sciences

Mamad Tamamadin¹  Armi Susandi²  Alvin Pratama³ 

[1] Department of Environmental Engineering, Faculty of Civil and Environmental Engineering, Institut Teknologi Bandung, Jalan Ganesha No. 10, Bandung 40132;Department of Meteorology, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Jalan Ganesha No. 10, Bandung 40132,;Department of Oceanography, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Jalan Ganesha No. 10, Bandung 40132,

关键词: extreme weather;    flood;    high resolution;    hydrometeorology;    hydro-meteorological hazard early warning system (H-MHEWS);    landslide;    warning;    weather prediction;   

DOI  :  10.5614/j.eng.technol.sci.2018.50.4.2

学科分类：工程和技术（综合）

来源: Institute for Research and Community Services ITB

【 摘 要 】

This paper discusses the result of the development of a hydro-meteorological hazard early warning system (H-MHEWS) that combines weather prediction from Weather Research and Forecasting (WRF) and the hydrometeorological hazard index from the National Disaster Management Authority (BNPB), Indonesia. In its current development phase, the hazards that H-MHEWS predicts are floods, landslides, and extreme weather events. Potential hazard indices are obtained by using an overlay approach and resampling so that the data have a 100-m spatial resolution. All indices are classified into 4 status categories: “No alert”, “Advisory”, “Watch”, and “Warning”. Flood potential is produced by overlaying rainfall prediction at 3-hour intervals with the flood index. Landslide potential is produced by overlaying rainfall prediction with the landslide index. Extreme weather potential is divided into 3 categories, i.e. heavy rain, strong winds, and extreme ocean waves. The whole prediction is dynamic, following weather predictions at 3-hour intervals. The hazard prediction results will trigger a ‘Warning’ alert in case of emergency status. This alert will be set up in a notification system to make it easier for the user to identify the most dangerous hydrometeorological hazard events.

【 授权许可】

CC BY