Flash Flood Susceptibility Mapping at Andungbiru Watershed, East Java Using AHP-Information Weighted Method

Devi Ratna Handini; Entin Hidayah; Gusfan Halik

doi:10.19184/geosi.v6i2.24173

Devi Ratna Handini Master Program in Civil Engineering, Department of Civil Engineering, Faculty of Engineering, University of Jember, Jl. Kalimantan No. 37 Jember, 68121, Indonesia
Entin Hidayah Master Program in Civil Engineering, Department of Civil Engineering, Faculty of Engineering, University of Jember, Jl. Kalimantan No. 37 Jember, 68121, Indonesia http://orcid.org/0000-0002-1233-6850
Gusfan Halik Master Program in Civil Engineering, Department of Civil Engineering, Faculty of Engineering, University of Jember, Jl. Kalimantan No. 37 Jember, 68121, Indonesia

DOI: https://doi.org/10.19184/geosi.v6i2.24173

Abstract

Flash floods are among the most frequent natural disasters caused by heavy rain associated with a severe thunderstorm, which leads to social and economic losses in infrastructure and agriculture. Therefore, this research aims to map flash flood potential susceptibility (FFPS) in the Pekalen watershed, using Geographic Information System (GIS) technology and statistical analysis to reduce the risk of flooding. The opinion and experience of an expert on the weight assessment method were carried out using the Analytical Hierarchy Process (AHP). Furthermore, the probability statistical methods and GIS were used in flash flood areas in the Pekalen watershed in Andungbiru, Probolinggo village. This study was carried out using geomorphological factors, namely elevation, slope, stream power index, and topographic wetness index, with a resolution of 30 m. Thematic map scale of the land use, river density, distance to the river, rainfall, and geology is in the ratio of is in a ratio of 1:25.000. Imagery processing was carried out using Landsat 8 30 m x 30 m resolution imagery, such as the Normalized Difference Vegetation Index. The result showed that the model map of FFPS obtained low 8%, low 23%, moderate 27%, moderate to high 26%, high 13%, and very high 2% index values. The next stage of modeling analysis led to validation using statistic receiver operating Characteristic Curve (ROC) of area Under Curve (AUC) with a value of 90.15. In conclusion, the factors that significantly trigger flash floods are distance to the river, land use, and slope.

Keywords: AHP-weighted; information content; FFSP; GIS; Geomorphology

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