Abstract

Flood is the most frequent natural disaster, with regards to the very large area of Indonesia, flood hazard related information is urgently required especially in a Geospatial format which requires a mapping effort of flood-prone areas. This is required to address which area need detail analysis and to support projected damage and loss assessment. We utilized a simple yet robust SCS method which is a well-known method to calculate runoff composed of simple calculation formula but proven to be able to do flood-prone area mapping effectively. Satellite rainfall dataset has been given as the main forcing factor in SCS formula to generate runoff values. The results of this research experiments have been successfully produced the map of the flood-prone areas in Java Island and therefore confirm that rainfall data is the primary forcing factor to develop flood hazard map rather than solely use topographic data. A combination between runoff and the other hydrological parameter such as flow accumulation might be useful to enhance the existing Java island flood index. According to the results, we proposed to do a more in-depth study in the northern part of Java Island.

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