Flood forecasting information using rain data from satellites
Abstract
Flood disaster is one of the natural disasters that always occur in various regions in Indonesia. One of the causes is the high rainfall that often occurs in all regions in Indonesia. In order to minimize the losses caused by the disaster, it is necessary to make information system of flood forecasting that is disseminated to relevant stakeholders in every area of water resources management which is limited by river area. This paper presents a flood early warning information system that informs the potential for floods for up to two days ahead, using inputs in the form of static data (socio-economic vulnerability map, flood hazard map and land slope map) and dynamic data (TRMM rainfall and forecasting data). The method used is to overlay static and dynamic data on FEWS (Flood Early Warning System) software and with certain limitations in determining the potential of flood generating output in the form of map of potential flood information in every region in Indonesia for today condition up to two days ahead. The objective of a flood early warning information system is to present flood early warning information in Indonesian Territory and the result is expected to be used by the stakeholders in facing the flood-related threat in their area.
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Deltares. 2009. Introduction to Delft-FEWS , WL, Delft Hydraulic.
BNPB. 2017. Http://dibi.bnpb.go.id. (Diakses tgl 19 Oktober 2017).
Ginting, S. W. Putuhena. 2014. Sistem Peringatan Dini Banjir Jakarta Jakarta-Flood Early Warning System (J-Fews). Jurnal Sumber Daya Air, Vol. 10 No. 1, Mei 2014: 71-84.
Ginting, S.H., and Wanny K. Adidarma. 2013. "Jakarta Flood Early Warning System (J-FEWS)." JAMSTEC - Japan Agency For Marine - Earth Science and Technology. Februari 28, 2013. http://www.jamstec.go.jp/rigc/tcvrp/satreps_id/slide/Radar_WS/Session2/RadarWS_130228_Wanny.pdf (diakses 19 Oktober 2017).
Ginting, S. Van Loeneon, A. 2013. Delft-FEWS sebagai Kerangka untuk Sistem Peringatan Dini Banjir, Bahan Materi Pelatihan.
Ginting, S. Van Loeneon, A. 2013. Delft-FEWS Si Peramal Banjir. Majalah Dinamika Riset.
Ginting, S. 2014. Sistem Peringatan Dini Banjir Jakarta. Jurnal Sumber Daya Air, Vol. 10 No. 1, Mei 2014: 71-84.
Sahabatnesia. http://sahabatnesia.com/bencana-alam. (Diakses tgl 19 Oktober 2017).
Syaifullah, M.D. 2011. Validasi Data TRMM Terhadap Data Curah Hujan Aktual di Tiga DAS di Indonesia. Jurnal Meteorologi dan Geofisika .15: 109-118.
Pemanfaatan Informasi Data Hujan TRMM 3B43 dalam Penentuan Panjang Periode Basah dan Kering dalam Usaha Pertanian (PDF Download Available). Available from: https://www.researchgate.net/publication/312192244_Pemanfaatan_Informasi_Data_Hujan_TRMM_3B43_dalam_Penentuan_Panjang_Periode_Basah_dan_Kering_dalam_Usaha_Pertanian [accessed Oct 20 2017].
R. R. E. Vernimmen, A. Hooijer, Mamenun, E. Aldrian, and A. I. J. M. van Dijk. 2012. Evaluation and bias correction of satellite rainfall data for drought monitoring in Indonesia. Hydrol. Earth Syst. Sci., 16, 133146, 2012.
Werner, M G F,. Schellekens, J and Kwadijk, J C J,. 2005. Flood Early Warning Systems for Hydrological (sub) Catchments, In Encyclopedia of Hydrological Sciences vol 1, Editors: Anderson, MG and McDonnell, J J, John Wiley & Sons Ltd.
Werner, M,, Schellekens, J,, Gijsbers, P,, van Dijk, M,, van den Akker, O,, and Heynert, K,. 2012. The DELFT-FEWS flow forecasting system, Environmental Modelling & Software (2012), http://dx,doi,org/10,1016/j,envsoft,2012,07,010. (accessed Oct 19, 2017).
Werner, M and van Dijk, M,. 2005. Developing Flood Forecasting Systems: Examples from The UK, Europe and Pakistan, International conference on innovation advances and implementation of flood forecasting technology, 17 to 19 October 2005, Troms, Norway.
World Meteorological Organization (WMO). 2011. Manual on Flood Forecasting and Warning, WMO No, 1072.
DOI: https://doi.org/10.32679/jsda.v13i2.210
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