A Micro-Scale Study of Flood Risk Assessment in Urban Fluvial Areas Using the Flood Potential Index

Worldwide, increasing various methods are being offered to solve the issue of flood disasters in urban fluvial areas, yet there is a relative lack of micro-scale studies concerning the flood potential index (FPI) to forecast future flood events in DKI Jakarta. With recent advances, the information of flood risk assessment can be monitored and communicated by using FPI embedded with a geographical information system (GIS)-based model. Therefore, the main purpose and concerned issue in this paper is how to relate the micro-scale study of flood risk assessment in the urban fluvial area in DKI Jakarta as the study case using FPI. Specific parameters were selected to develop and analyze FPI, involving three considerations: meteorological, physical-environment, and socio-economic aspects. The classification has also been developed by the analysis of data from rainfall, normalized difference vegetation index (NDVI) obtained from Landsat eight interpretation, and population density to produce a flood potential hazard map for each sub-district in DKI Jakarta during 2021-2024. The results of the completed analysis of classification for each sub-district in DKI Jakarta showed 10 sub-districts with high potential, 219 sub-districts with medium potential, and 32 sub-districts with low potential in 2024. Our findings also confirmed that using a GIS approach in identifying and measuring the FPI in DKI Jakarta for micro-scale areas is very helpful in order to develop better adaptive local flood management practices. For future works, the assessment not only produces a visualization of the flood potential index but also estimates possible damage due to the flood hazard itself.

Automated summary

This study utilizes a GIS-based model and Flood Potential Index (FPI) to conduct micro-scale flood risk assessment in urban fluvial areas of DKI Jakarta. The results show that there are 10 sub-districts with high potential, 219 sub-districts with medium potential, and 32 sub-districts with low potential.