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GIS-based Spatial Modeling of Flood Prone Areas in Ambon City Center, Indonesia

Authors

  • Ahmad Rifai

    Department of Environmental Science, School of Environmental Sciences, Universitas Indonesia, Salemba, Indonesia
    Author
  • Heinrich Rakuasa

    Department of Geography, Faculty of Geology and Geography, Tomsk State University
    Author
  • Abd. H Amahoru

    Islamic Astronomy Laboratory, Faculty of Sharia, IAIN Ambon, Indonesia
    Author
  • Jossh C.E Talakua

    Master of Architecture Program, Faculty of Engineering, Udayana University, Indonesia
    Author
  • Adi Jufriansah

    Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada, Indonesia
    Author
  • Philia Ch. Latue

    Biology Education Study Program, Faculty of Teacher Training and Education, Pattimura University, Indonesia
    Author

DOI:

https://doi.org/10.62201/mkr08f68

Keywords:

ambon, flood, GIS, multicriteria evaluation

Abstract

This research aims to model flood-prone areas in Ambon's downtown area, given the increasing disaster potential due to climate change and urbanization. The method used includes geographic information system (GIS) technology and remote sensing, namely the multicriteria evaluation method, where the data analyzed includes elevation, slope, soil type, land use, distance from the river, and rainfall. The results showed that low vulnerability has an area of 1,589.91 ha or 73.30%, medium vulnerability has an area of 238.59 ha or 11%, and high vulnerability has an area of 340.49 ha or 15.70%. Flood-affected settlements in the low class are 827.15 ha or 60.68%, in the medium class are 214.51 ha or 15.74%, and in the high class are 321.46 ha or 23.58%. The increase in flood risk in the study area is due to land use change and limited drainage capacity that requires serious attention. The results of this study provide a basis for more effective mitigation planning and policies in reducing flood impacts, as well as increasing community resilience in Ambon City against disaster threats

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Published

2025-08-14