Detection of Flood Inundation in the Progo Watershed using the SHETRAN Model

Abstract

Floods are the most frequent disasters in Indonesia in the past 20 years. Based on the Indonesian Disaster Information Data (DIBI) compiled by BNPB, there are considered to be 9053 events (37.5%) of the total natural disaster events in Indonesia. The flood disaster has threatened and disrupted people’s lives and even resulted in fatalities, environmental damage, property losses, and psychological impacts. Therefore several efforts of flood risk reduction are required. One of them is to develop a model to detect the depth of flood inundation. The purpose of this study is to apply the SHETRAN Model for flood inundation detection in the Progo Watershed. The SHETRAN model is a distributed hydrological model. The data required in this model are hydro-climatological data, including rainfall and evaporation, land use land cover, soil type, and topography data obtained from remote sensing. The results of this study indicate that in the range from 2001 to 2017, the maximum height of flood inundation between the data on flood events in the field and the phreatic depth of the results from the SHETRAN Model were 0.606 m which occurred on January 17, 2013 in Tirta Rahayu Village, Sub-district Galur, Kulon Progo Regency. While the maximum height of flood inundation results from the RStudio analysis on the Progo Watershed range from 2001 to 2017 were 3,856 m which occurred in 2010.