| dc.description.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. | en_US |
