Integrated seismic modelling for NPP risk assessment in Serpong: using hybrid machine learning clustering and support vector machine methods

The pursuit of clean and sustainable energy in Indonesia has intensified focus on nuclear power, positioning Serpong, West Java, as a prospective site. While previous studies have addressed regional seismicity, a comprehensive, high-resolution seismic hazard assessment – critical for the safety of n...

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Autores principales:	Haifani Akhmad Muktaf, Indrawati Yuni, Ariyanto Sudi, Mardha Amil, Suntoko Hadi, Alimah Siti, Anzhar Kurnia, Supartoyo, Aribowo Sonny, Setiadipura Topan, Prakoso Widjoyo
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	De Gruyter 2026-03-01
Colección:	Open Geosciences
Materias:	seismic zones seismic hazard assessment seismic clustering gutenberg-richter analysis earthquake catalog machine learning
Acceso en línea:	https://doi.org/10.1515/geo-2025-0925
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