scholarly journals Previously undiscovered landslide deposits in Harrison Lake, British Columbia, Canada

Landslides ◽  
2020 ◽  
Author(s):  
K. E. Hughes ◽  
M. Geertsema ◽  
E. Kwoll ◽  
M. N. Koppes ◽  
N. J. Roberts ◽  
...  
Keyword(s):  
British Columbia ◽  
Surface Morphology ◽  
Hazard Analysis ◽  
Tsunami Hazard ◽  
Acoustic Survey ◽  
Bathymetric Survey ◽  
Potential Form ◽  
Lake Floor ◽  
Landslide Tsunami

Abstract A bathymetric survey of Harrison Lake in southwest British Columbia revealed deposits of three large landslides on the lake floor. The blocky and flow-like surface morphology of the deposits suggests rapid emplacement from subaerial sources. The multibeam survey, together with a subbottom acoustic survey, allowed us to estimate deposit volumes of 2.4 Mm3, 1.3 Mm3, and 0.2 Mm3 for the Mount Douglas, Mount Breakenridge, and Silver Mountain landslides, respectively. The large volumes and inferred rapid emplacement of the Mount Douglas and Mount Breakenridge landslides suggest they were tsunamigenic. Because people live along the shoreline of Harrison Lake, our discovery and characterization of these landslide deposits and their tsunami-generating potential form an important foundation for further landslide-tsunami hazard analysis in the region.

scholarly journals On the landslide tsunami uncertainty and hazard

Landslides ◽  
2020 ◽  
Vol 17 (10) ◽  
pp. 2301-2315 ◽  
Author(s):  
Finn Løvholt ◽  
Sylfest Glimsdal ◽  
Carl B. Harbitz
Keyword(s):  
Hazard Analysis ◽  
Tsunami Hazard ◽  
Tsunami Source ◽  
Probabilistic Framework ◽  
Tsunami Inundation ◽  
Event Trees ◽  
To Come ◽  
Probabilistic Tsunami Hazard Analysis ◽  
Landslide Tsunami ◽  
Prognostic Modelling

Abstract Landslides are the second most frequent tsunami source worldwide. However, their complex and diverse nature of origin combined with their infrequent event records make prognostic modelling challenging. In this paper, we present a probabilistic framework for analysing uncertainties emerging from the landslide source process. This probabilistic framework employs event trees and is used to conduct tsunami uncertainty analysis as well as probabilistic tsunami hazard analysis (PTHA). An example study is presented for the Lyngen fjord in Norway. This application uses a mix of empirical landslide data combined with expert judgement to come up with probability maps for tsunami inundation. Based on this study, it is concluded that the present landslide tsunami hazard analysis is largely driven by epistemic uncertainties. These epistemic uncertainties can be incorporated in the probabilistic framework. Conducting a literature analysis, we further show examples of how landslide and tsunami data can be used to better constrain landslide uncertainties, combined with statistical and numerical analysis methods. We discuss how these methods, combined with the probabilistic framework, can be used to improve landslide tsunami hazard analysis in the future.

Isolasi Dan Karakterisasi Bentonit Alam Menjadi Nanopartikel Monmorillonit

2018 ◽  
Vol 3 (1) ◽  
pp. 12 ◽  
Author(s):  
Zaimahwati Zaimahwati ◽  
Yuniati Yuniati ◽  
Ramzi Jalal ◽  
Syahman Zhafiri ◽  
Yuli Yetri
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Particle Size ◽  
Surface Morphology ◽  
Average Diameter ◽  
Particle Size Analyzer ◽  
Ft Ir ◽  
Scanning Electron ◽  
Sedimentation Processes

<p>Pada penelitian ini telah dilakukan isolasi dan karakterisasi bentonit alam menjadi nanopartikel montmorillonit. Bentonit alam yang digunakan diambil dari desa Blangdalam, Kecamatan Nisam Kabupaten Aceh Utara.  Proses isolasi meliputi proses pelarutan dengan aquades, ultrasonic dan proses sedimentasi. Untuk mengetahui karakterisasi montmorillonit dilakukan uji FT-IR, X-RD dan uji morfologi permukaan dengan Scanning Electron Microscopy (SEM). Partikel size analyzer untuk menganalisis dan menentukan ukuran nanopartikel dari isolasi bentonit alam. Dari hasil penelitian didapat ukuran nanopartikel montmorillonit hasil isolasi dari bentonit alam diperoleh berdiameter rata-rata 82,15 nm.</p><p><em>In this research we have isolated and characterized natural bentonite into montmorillonite nanoparticles. Natural bentonite used was taken from Blangdalam village, Nisam sub-district, North Aceh district. The isolation process includes dissolving process with aquades, ultrasonic and sedimentation processes.  The characterization of montmorillonite, FT-IR, X-RD and surface morphology test by Scanning Electron Microscopy (SEM). Particle size analyzer to analyze and determine the size of nanoparticles from natural bentonite insulation. From the research results obtained the size of montmorillonite nanoparticles isolated from natural bentonite obtained an average diameter of 82.15 nm.</em></p>

scholarly journals Probabilistic Tsunami Hazard Analysis of Inundated Buildings Following a Subaqueous Volcanic Explosion Based on the 1716 Tsunami Scenario in Taal Lake, Philippines

Geosciences ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 92
Author(s):  
Kwanchai Pakoksung ◽  
Anawat Suppasri ◽  
Fumihiko Imamura
Keyword(s):  
Hazard Analysis ◽  
Active Volcano ◽  
The Philippines ◽  
Tsunami Hazard ◽  
Initial Water ◽  
Volcanic Explosion ◽  
Inundation Depth ◽  
Tsunami Mitigation ◽  
Probabilistic Tsunami Hazard Analysis ◽  
Tunami N2

A probabilistic hazard analysis of a tsunami generated by a subaqueous volcanic explosion was performed for Taal Lake in the Philippines. The Taal volcano at Taal Lake is an active volcano on Luzon Island in the Philippines, and its eruption would potentially generate tsunamis in the lake. This study aimed to analyze a probabilistic tsunami hazard of inundated buildings for tsunami mitigation in future scenarios. To determine the probabilistic tsunami hazard, different explosion diameters were used to generate tsunamis of different magnitudes in the TUNAMI-N2 model. The initial water level in the tsunami model was estimated based on the explosion energy. The tsunami-induced inundation from the TUNAMI-N2 model was overlaid on the distribution of buildings. The tsunami hazard analysis of inundated buildings was performed by using the maximum inundation depth in each explosion case. These products were used to calculate the probability of the inundated building given the occurrence of a subaqueous explosion. The results from this study can be used for future tsunami mitigation if a tsunami is generated by a subaqueous volcanic explosion.

Logic-tree Approach for Probabilistic Tsunami Hazard Analysis and its Applications to the Japanese Coasts

2007 ◽  
Vol 164 (2-3) ◽  
pp. 577-592 ◽  
Author(s):  
Tadashi Annaka ◽  
Kenji Satake ◽  
Tsutomu Sakakiyama ◽  
Ken Yanagisawa ◽  
Nobuo Shuto
Keyword(s):  
Hazard Analysis ◽  
Tsunami Hazard ◽  
Logic Tree ◽  
Probabilistic Tsunami Hazard Analysis ◽  
Tree Approach

Synthesis and characterization of silver nanoparticle nanocomposite thin films with thermally induced surface morphology changes

2015 ◽  
Vol 159 ◽  
pp. 118-121 ◽  
Author(s):  
Ernandes T. Tenório-Neto ◽  
Marcos R. Guilherme ◽  
Manuel E.G. Winkler ◽  
Lucio Cardozo-Filho ◽  
Stéphani C. Beneti ◽  
...  
Keyword(s):  
Thin Films ◽  
Surface Morphology ◽  
Silver Nanoparticle ◽  
Synthesis And Characterization ◽  
Thermally Induced ◽  
Nanocomposite Thin Films ◽  
Morphology Changes

Combined AFM/Raman Studies of Heterogeneous Polymer Materials

MRS Advances ◽  
2016 ◽  
Vol 1 (25) ◽  
pp. 1859-1864 ◽  
Author(s):  
Marko Surtchev ◽  
Mark Wall ◽  
Sergei Magonov
Keyword(s):  
Surface Morphology ◽  
Polymer Blends ◽  
Heterogeneous Systems ◽  
Polymer Materials ◽  
Raman Mapping ◽  
Immiscible Polymer Blends ◽  
Immiscible Polymer ◽  
Heterogeneous Polymer ◽  
Comprehensive Characterization

ABSTRACTCompositional imaging of several immiscible polymer blends was examined with the combination of AFM-based mechanical and electric modes with chemically-specific Raman mapping. Results showed that these methods substantially complement each other in comprehensive characterization of surface morphology by helping to identify a composition of top surface and sub-surface materials in polymer heterogeneous systems.

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