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Mamad Tamamadin
Department of Meteorology, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Jalan Ganesha No. 10, Bandung 40132,
Engineering

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Development of Hydro-Meteorological Hazard Early Warning System in Indonesia Susandi, Armi; Tamamadin, Mamad; Pratama, Alvin; Faisal, Irvan; Wijaya, Aristyo R.; Pratama, Angga F.; Pandini, Olgha P.; Widiawan, Destika Agustina
Journal of Engineering and Technological Sciences Vol 50, No 4 (2018)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (841.332 KB) | DOI: 10.5614/j.eng.technol.sci.2018.50.4.2

Abstract

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.
Development of Hydro-Meteorological Hazard Early Warning System in Indonesia Armi Susandi; Mamad Tamamadin; Alvin Pratama; Irvan Faisal; Aristyo R. Wijaya; Angga F. Pratama; Olgha P. Pandini; Destika Agustina Widiawan
Journal of Engineering and Technological Sciences Vol. 50 No. 4 (2018)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2018.50.4.2

Abstract

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.
Co-Authors Alvin Pratama Angga F. Pratama Aristyo R. Wijaya Armi Susandi Destika Agustina Widiawan Faisal, Irvan Irvan Faisal Olgha P. Pandini Pandini, Olgha P. Pratama, Angga F. Susandi, Armi Widiawan, Destika Agustina Wijaya, Aristyo R.