The effects of global warming are putting the world’s coasts at risk. Coastal
planners need relatively accurate projections of the rate of sea-level rise and
its possible consequences, such as extreme sea-level changes, flooding, and
coastal erosion. The east coast of Peninsular Malaysia is vulnerable to sea-level
change. The purpose of this study is to present an Artificial Neural Network
(ANN) model to analyse sea-level change based on observed data of tide gauge,
rainfall, sea level pressure, sea surface temperature, and wind.

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Categories: Kenaikan Paras Air Laut, Perubahan Iklim
Tags: Artikel Jurnal, Data Penerbitan, Terbuka