The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Sep 2023)

COMPARATIVE ANALYSIS OF THE MCDA AND GFI METHODS IN DETERMINING FLOOD-PRONE AREAS IN JATINANGOR DISTRICT, SUMEDANG

  • R. Virtriana,
  • R. Virtriana,
  • D. A. Retnowati,
  • P. Rohayani,
  • T. S. Anggraini,
  • T. S. Anggraini,
  • K. T. N. Ihsan,
  • A. B. Harto,
  • A. B. Harto,
  • A. Riqqi,
  • A. Riqqi

DOI
https://doi.org/10.5194/isprs-archives-XLVIII-M-3-2023-261-2023
Journal volume & issue
Vol. XLVIII-M-3-2023
pp. 261 – 266

Abstract

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Flood is one of the natural disasters which has a high intensity in terms of occurrence. Despite the loss value in each event which is not as high as some natural disasters, such as earthquakes or tsunamis, the high occurrence of floods may cause high loss in total. Floods damage property and infrastructure, disrupt economic activity, displace people, harm communities, and degrade ecosystems. This study aims to compare the flood hazard model using Geomorphic Flood Index (GFI) and Multi-criteria Decision Analysis (MCDA). GFI is an established method which already used globally to identify the flood-prone area and the depth of the flood. The parameter needed to calculate GFI are the elevation, river network, and historical flood event. Meanwhile, the MCDA method tries to combine environmental, physical, and hydrographic factors, such as land use/land cover, precipitation, and runoff. The study area is Jatinangor District in Sumedang Regency which part of West Java Province, Indonesia. This location is chosen based on historical and potential flood events. Besides, Jatinangor District is the center of industry and commerce which Sumedang Regency is very dependent on. The finding of this study is expected to identify suitable methods for assessing flood hazards in Jatinangor or other areas with similar characteristics, between GFI and MCDA.