Development of Hydro-Meteorological Hazard Early Warning System in Indonesia
| Autor: | D A Widiawan, Mamad Tamamadin, A Pratama, A R Wijaya, I Faisal, Alvin Pratama, Olgha P. Pandini, Armi Susandi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
landslide
Meteorology Emergency management Flood myth business.industry high resolution General Engineering Landslide flood Engineering (General). Civil engineering (General) Hazard Extreme weather extreme weather Weather Research and Forecasting Model hydro-meteorological hazard early warning system (H-MHEWS) Environmental science Early warning system Hydrometeorology TA1-2040 business hydrometeorology |
| Zdroj: | Journal of Engineering and Technological Sciences, Vol 50, Iss 4 (2018) |
| ISSN: | 2338-5502 2337-5779 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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