Flood susceptibility assessment using artificial neural networks in Indonesia

Flood incidents can massively damage and disrupt a city economic or governing core. However, flood risk can be mitigated through event planning and city-wide preparation to reduce damage. For, governments, firms, and civilians to make such preparations, flood susceptibility predictions are required. To predict flood susceptibility nine environmental related factors have been identified. They ar…

A machine learning approach using legacy geophysical datasets to model Quater…

High-resolution subsurface marine mapping tools, including chirp and 3D seismic, enable the reconstruction of ancient landscapes that have been buried and subsequently submerged by marine transgression. However, the established methods for paleotopographic reconstruction require time consuming field and data interpretation efforts. Here we present a novel methodology using machine learning to e…

Animated visualization of post-glacial land uplift and shore displacement fro…

Post-glacial land uplift and shore displacement are dynamic processes that are challenging to present with cartography and geovisualization. To communicate these phenomena, we have created a dynamic visualization in the form of high-quality animation, utilizing automated processes in the computation and rendering of large raster datasets. We have developed a simplified model to assess the past …

Is there a safe spot? modelling seismic amplification with sepctral element m…

Edisi

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ISBN/ISSN

978-90-365-4465-8

Deskripsi Fisik

ix, 98 hlm. : illus. ; 24 cm.

Judul Seri

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No. Panggil

DS 526.9 SAA i