Geomatics and Environmental Engineering, vol. 17, no. 6

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Vol. 17 No. 6 (2023): Geomatics and Environmental Engineering

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Submitted
Feb 27, 2023
Accepted
Aug 31, 2023
Published
Oct 13, 2023
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This work is licensed under a Creative Commons Attribution 4.0 International License.

Development of Flood-Hazard-Mapping Model Using Random Forest and Frequency Ratio in Sumedang Regency, West Java, Indonesia

https://doi.org/10.7494/geom.2023.17.6.129
Rido Dwi Ismanto
National Research and Innovation Agency (BRIN), Research Center for Computing, Cibinong, Indonesia
https://orcid.org/0000-0002-2903-6731
Hana Listi Fitriana
National Research and Innovation Agency (BRIN), Research Center for Remote Sensing, Pekayon, Indonesia
https://orcid.org/0000-0001-6752-8414
Johanes Manalu
National Research and Innovation Agency (BRIN), Research Center for Remote Sensing, Pekayon, Indonesia
https://orcid.org/0009-0000-1761-3725
Alvian Aji Purboyo
Indonesia University of Education, Department of Geographic Information Science, Bandung, Indonesia
https://orcid.org/0009-0009-3870-2327
Indah Prasasti
National Research and Innovation Agency (BRIN), Research Center for Remote Sensing, Pekayon, Indonesia
https://orcid.org/0000-0001-5332-6061

Corresponding Author(s) : Rido Dwi Ismanto

rido001@brin.go.id

Geomatics and Environmental Engineering, Vol. 17 No. 6 (2023): Geomatics and Environmental Engineering

Abstract

Flooding, often triggered by heavy rainfall, is a common natural disaster in Indonesia, and is the third most common type of disaster in Sumedang Regency. Hence, flood-susceptibility mapping is essential for flood management. The primary challenge in this lies in the complex, non-linear relationships between indices and risk levels. To address this, the application of random forest (RF) and frequency ratio (FR) methods has been explored. Ten flood-conditioning factors were determined from the references: the distance from a river, elevation, geology, geomorphology, lithology, land use/land cover, rainfall, slope, soil type, and topographic wetness index (TWI). The 35 flood locations from the flood-inventory map were selected, and the remaining 18 flood locations were used for justifying the outcomes. The flooded areas from the RF model were 28.39%; the rest (71.61%) were non-flooded areas. Also, the flooded areas from the FR method were 8.02%, and the non-flooded areas were 91.98%. The AUC for both methods was a similar value – 83.0%. This result is quite accurate and can be used by policymakers to prevent and manage future flooding in the Sumedang area. These results can also be used as materials for updating existing flood-susceptibility maps.

Keywords

flood-susceptibility assessment random forest frequency ratio Sumedang remote sensing
Ismanto, R. D., Fitriana, H. L., Manalu, J., Purboyo, A. A., & Prasasti, I. (2023). Development of Flood-Hazard-Mapping Model Using Random Forest and Frequency Ratio in Sumedang Regency, West Java, Indonesia. Geomatics and Environmental Engineering, 17(6), 129–157. https://doi.org/10.7494/geom.2023.17.6.129
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