Results 51 to 60 of about 8,991,672 (195)

Geomorphometry-Informed Ground-Motion Modeling for Earthquake-Induced Landslides

Remote Sensing
Earthquake-induced landslides are a major hazard in mountainous regions, where complex topography and near-surface conditions jointly control ground-motion amplification and slope instability.
Federico Mori, Giuseppe Naso, Gabriele Fiorentino   +2 more
doaj   +1 more source

Neural circuit tuning fly visual interneurons to motion of small objects: I. Dissection of the circuit by pharmacological and photoinactivation techniques [PDF]

, 1993
Warzecha A-K, Egelhaaf M, Borst A. Neural circuit tuning fly visual interneurons to motion of small objects: I. Dissection of the circuit by pharmacological and photoinactivation techniques. Journal of neurophysiology. 1993;69(2):329-339.1.
Egelhaaf, M., Egelhaaf, Martin, Warzecha, A., A. K. Warzecha, Borst, Alexander, Egelhaaf, Martin ; https://orcid.org/, Borst, A., Warzecha, Anne-Kathrin, M. Egelhaaf, A. Borst   +9 more
core   +1 more source

Assessing extent of building damage following an earthquake: case study of the 2023 Turkey-Syria doublet

npj Natural Hazards
An earthquake doublet (M w 7.8 and M w 7.5) struck southeastern Turkey on February 6, 2023, causing widespread devastation. To evaluate seismic damage across 11 provinces, we analysed strong motion data, developed fragility functions and building damage ...
Guan Chen, Yong Liu, Zhangfeng Ma, Jiashu Yang, Michael Beer, Siau Chen Chian, Shengji Wei   +6 more
doaj   +1 more source

The extremely shallow MW 4.9 2019 Le Teil earthquake, France: main ground motion features and comparison with ground motion models

Seismica
On 11 November 2019, a MW  4.9 earthquake occurred in Le Teil, southeastern France, at an exceptional depth of 1 to 2~km. We benefit from a comprehensive dataset of high-quality seismic records to investigate ground motion features in terms of source ...
Aurore Laurendeau, Mathieu Causse, Edward Marc Cushing, Céline Gélis, Maria Lancieri, Roxanne Rusch, Paula Fahed, Cécile Cornou, Sébastien Hok   +8 more
doaj   +1 more source

Ground Motion Models and Computer Techniques [PDF]

, 1972
Abstract : The work reported consists of three task areas: (a) development of constitutive models and computer methods for calculating stress wave effects in geologic media in the vicinity of a buried energy source, (b) verification of the computer models and their application to examine the sensitivity of ground motion predictions to the material ...
A. J. Good, D. H. Brownell, J. W. Kirsch, S. K. Garg, G. A. Frazier, J. K. Dienes, T. David Riney   +6 more
openaire   +1 more source

Prediction of peak ground acceleration using ϵ-SVR, ν-SVR and Ls-SVR algorithm

Geomatics, Natural Hazards & Risk, 2017
In this paper, a prediction model is developed using support vector machine for forecasting the parameter associated with ground motion of a seismic signal. The prediction model is developed using three learning algorithms, ϵ-support vector regression, ν-
Sonia Thomas, G.N. Pillai, Kirat Pal
doaj   +1 more source

A machine learning estimator trained on synthetic data for real-time earthquake ground-shaking predictions in Southern California

Communications Earth & Environment
After large-magnitude earthquakes, a crucial task for impact assessment is to rapidly and accurately estimate the ground shaking in the affected region.
Marisol Monterrubio-Velasco, Scott Callaghan, David Modesto, Jose Carlos Carrasco, Rosa M. Badia, Pablo Pallares, Fernando Vázquez-Novoa, Enrique S. Quintana-Ortí, Marta Pienkowska, Josep de la Puente   +9 more
doaj   +1 more source

A Quick Turn of Foot: Rigid Foot-Ground Contact Models for Human Motion Prediction

Frontiers in Neurorobotics, 2019
Computer simulation can be used to predict human walking motions as a tool of basic science, device design, and for surgical planning. One the challenges of predicting human walking is accurately synthesizing both the movements and ground forces of the ...
Matthew Millard, Katja Mombaur
doaj   +1 more source

A Machine Learning Approach to Developing Ground Motion Models From Simulated Ground Motions

Geophysical Research Letters, 2020
AbstractWe use a machine learning approach to build a ground motion model (GMM) from a synthetic database of ground motions extracted from the Southern California CyberShake study. An artificial neural network is used to find the optimal weights that best fit the target data (without overfitting), with input parameters chosen to match that of state‐of ...
Kyle B. Withers, Morgan P. Moschetti, Eric M. Thompson   +2 more
openaire   +1 more source

Preliminary analysis of amplified ground motion in Bangkok basin using HVSR curves from recent moderate to large earthquakes

Geoenvironmental Disasters, 2023
Background The Bangkok Basin has been known from non-instrumental observations of the local population to be subject to ground motion amplification due to the deep alluvial sediments and basin geometry.
Teraphan Ornthammarath, Amorntep Jirasakjamroonsri, Patinya Pornsopin, Rajesh Rupakhety, Nakhorn Poovarodom, Pennung Warnitchai, Tun Tun Tha Toe   +6 more
doaj   +1 more source