Open AccessPREDIKSI DEBIT SUNGAI BENGAWAN SOLO MENGGUNAKAN NUMERICAL WEATHER MODEL GLOBAL FORECAST SYSTEM DAN INTEGRATED FLOOD ANALYSIS SYSTEM (Prediction of discharge in Bengawan Solo River using Numerical Weather Model Global Forecast System and Integrated Flood Analysis System)
Author(s) -
Deffi Munadiyat Putri,
Aries Kristianto
Publication year - 2021
Publication title -
jurnal penelitian pengelolaan daerah aliran sungai (journal of watershed management research)
Language(s) - English
Resource type - Journals
eISSN - 2579-6097
pISSN - 2579-5511
DOI - 10.20886/jppdas.2021.5.1.41-50
Subject(s) - flood myth , meteorology , environmental science , hydrometeorology , numerical weather prediction , scale (ratio) , global forecast system , flood forecasting , hydrology (agriculture) , geography , precipitation , engineering , cartography , geotechnical engineering , archaeology
Flood is one of the most common hydro-meteorological disasters. Bengawan Solo is one of the watersheds in Indonesia that also hit by this disaster. This study discusses the flood disaster in the Bengawan Solo area in early March 2019. The purpose of this study is to conduct a discharge simulation using numerical weather model Global Forecast System (GFS) data through Integrated Flood Analysis System (IFAS) so it is possible to predict discharge in the future. There are three types of numerical weather model GFS data that have been downscale using weather research and forecasting model which differentiated based on spin-up time. The numerical weather model product is then used as rainfall data input for IFAS simulation. Based on the analysis, the flood discharge simulation using an 84-hour spin-up time has a satisfactory performance in describing the change in discharge with respect to time. This happens because numerical weather models will be better at quantifying processes that occur on a meso scale with spatial scale of 10 to 1000 km. The result of this research shows that it is possible to predict river discharge up to 84 hours before the disaster so this is can support the mitigation process for hydrometeorological disasters.