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

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.

Keywords


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

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References


Meteorological, Climatology and Geophysics Agency (BMKG), Warning map from http://web.meteo.bmkg.go.id/id, retrieved 27 October 2017.

Purwalaksana, A.Z. & Waslaluddin, S., Automation from the Results of Automatic Weather Station (AWS) Observation and Its Utilization of Satellite Disaster Early Warning System (SADEWA), Fibusi (JoF), 3(3), pp. 1-8 December 2015.

Ginting, S. & Adidarma, W., Jakarta Flood Early Warning System (J-FEWS), Workshop on MCCOE Radar Meteorology/Climatology in Indonesia, 2013.

Hatmoko, W., Radhika, Raharja, B., Tollenaar, D. & Vernimmen, R., Monitoring and Prediction of Hydrological Drought Using a Drought Early Warning System in Pemali-Comal River Basin, Indonesia, Procedia Environmental Sciences, 24, pp. 56-64, 2015.

Aditya, T., Suharyanto, Karnawati., D. & Fathani, T.F., Development of landslide early warning system by online GPS in Central Java, Indonesia, Proceeding of International Symposium and The 2nd AUN/Seed-Net Regional Conference on Geo-Disaster Mitigation in ASEAN, pp. 225-234, 2010.

Meteorological, Climatology and Geophysics Agency (BMKG), Wave Height Warning Information, accessed from , 27 October 2017.

InaRISK (Hazard Risk Index Monitoring in Indonesia) from www.inarisk.bnpb.go.id, 27 October 2017.

National Disaster Management Authority, Indonesia Disaster Risk, 2016.

Manfreda, S., Leo, M.D., Sole, A. Detection of Flood-Prone Areas Using Digital Elevation Models, Journal of Hydrologic Engineering, 16, (10), pp. 781-790, doi: 10.1061/(ASCE)HE.1943-5584 .0000367.

Burrough, P.A., Principles of Geographical Information System for Land Resources Assessment, Oxford University Press, Oxford, 1990.

Powers, J.G., Klemp, J.B., Skamarock, W.C., Davis, C.A., Dudhia, J., Gill, D.O., Coen, J.L., Goghis, D.J., Ahmadov, R., Peckham, S.E., Grell, G.A., Michalakes, J., Trahan, S., Benjamin, S.G., Alexander, C.R., Dimego, G.J., Wang, W., Schwartz, C.S., Romine, G.S., Liu, Z., Snyder, C., Chen, F., Barlage, M.J., Yu, W. & Duda, M.G., The Weather Research and Forecasting Model: Overview, System Efforts, and Future Directions, Bulletin of American Meteorological Society, August 2017, 98(8), pp. 1717-1737, 2017.

Keller, M.S. Cron Job Scheduler, Linux Journal, Sep 01 1999. https://www.linuxjournal.com/article/3290, retrieved 27 October 2017.

Skamarock, W.C., Klemp, J.B., Dudhia, J., Gill, D.O., Barker, D.M., Wang, W. & Powers, J.G., A Description of the Advanced Research WRF version 2, National Center for Atmospheric Research, Technical Note, NCAR/TN-468þSTR. (Boulder, CO), 2005.

National Center for Atmospheric Research, The Advanced Research WRF (ARW) Version 3.4 Modeling System, Released in April 2012.

Usery, E.L., Finn, M.P., Scheidt, D.J., Ruhl, S., Beard, T. & Bearden, M. Geospatial Data Resampling and Resolution Effects on Watershed Modeling: A Case Study using the Agricultural Non-point Source Pollution Model, Journal of Geographical System, 6, pp. 289-306, 2004, doi: 10.1007/s10109-004-0138-z.

Nasrollahi, N., Kazemi, H. & Kamkar, B., Feasibility of Ley-Farming System Performance in a Semi-Arid Region using Spatial Analysis, Journal of Ecological Indicators, 72, pp. 239-248, 2017.

Ainsworth, T., ‘Significant Wave Height’ – A Closer Look at Wave Forecasts, National Oceanic and Atmospheric Administration, 50(1), April 2006.

Thomas, T.J. & Dwarakish, G.S., Numerical Wave Modelling-A Review, Aquatic Procedia, 4, pp. 443-448, 2015.

BNPB Team, Evaluation of MHEWS Parameter with Observation Data, BNPB Report, 2016.

Fachrizal, F., Verification Of Numerical Weather Prediction With Neighborhood Method, Undergraduate Theses, Institut Teknologi Bandung, Indonesia, 2017. (Text in Indonesian)

World Meteorological Organization, Guidelines on Ensemble Prediction Systems and Forecasting, Geneva: World Meteorological Organization, 2012.

Lorenz, E.N., Deterministic Nonperiodic Flow, Journal of the Atmospheric Science, 20(2), pp. 130-141, 1963.

Buizza, R., The ECMWF Ensemble Prediction System in T. Palmer, & R. Hagedorn, Predictability of Weather and Climate, Cambridge: Cambridge University Press, pp. 459-488, 2006, ISBN: 9780511617652.

Kumar, P., Kishtawal, C.M. & Pal, P.K., Impact of Satellite Rainfall Assimilation on Weather Research and Forecasting Model Predictions Over the Indian Region, Journal of Geophysical Research: Atmospheres, 119(5), pp. 2017-2031, 2014.

Buizza, R., Houtekamer, P.L., Toth, Z., Pellerin, G., Wei, M. & Zhu, Y., A Comparison of the ECMWF, MSC, and NCEP Global Ensemble Prediction Systems, Monthly Weather Review, 133(5), pp. 1076-1097, 2005, doi:10.1175/MWR2905.1.

Joslyn, S. & Savelli, S., Communicating Forecast Uncertainty: Public Perception of Weather Forecast Uncertainty, Royal Meteorology Society, 17(2), pp. 180-195, 2010.

Joslyn, S.L. & LeClerc, J.E., Uncertainty Forecast Improve Weather-Related Decisions and Attenuate the Effects of Forecast Error, Journal of Experimental Psychology: Applied, 18(1), pp. 126-140, 2012, doi: 10.1037/a0025185.

Pratama, A. F., Probabilistic Prediction in Bandung Using Ensemble Prediction System, Research Report, Institut Teknologi Bandung, 2017. (Text in Indonesian)




DOI: http://dx.doi.org/10.5614%2Fj.eng.technol.sci.2018.50.4.2

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