# Integrating machine learning and physically based hydrodynamic modeling for flood hazard mapping: a case study of the Takkalasi watershed, Indonesia
> Soma A.S.

URL kanonis: https://discover.unhas.ac.id/publications/pub_scopus_105035595210
Jurnal / Konferensi: Geomatics Natural Hazards and Risk
Tahun terbit: 2026
DOI: https://doi.org/10.1080/19475705.2026.2659164
ISSN: 19475705
Kuartil SJR: Q1
Citations: 0

## Authors
- Soma A.S.

## Abstract
Sourced directly from Elsevier Scopus. No OpenAlex abstract available.

## Keywords
- Flood myth
- Artificial intelligence
- Computer science
- Machine learning
- Hazard
- Engineering
- Environmental science
- Training (meteorology)
- Hazard analysis
- Flood forecasting
- Random forest
- Support vector machine

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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