scholarly journals Fluvial inverse modeling for inferring the timing of Quaternary uplift in the Simbruini range (Central Apennines, Italy)

2021 ◽  
Author(s):  
Michele Delchiaro ◽  
Veronica Fioramonti ◽  
Marta Della Seta ◽  
Gian Paolo Cavinato ◽  
Massimo Mattei
Keyword(s):  
Inverse Modeling ◽  
Central Apennines

Obtaining the Spatial Distribution of Water Content along a TDR Probe Using the SCEM-UA Bayesian Inverse Modeling Scheme

2004 ◽  
Vol 3 (4) ◽  
pp. 1128-1145 ◽  
Author(s):  
Timo J. Heimovaara ◽  
Johan A. Huisman ◽  
Jasper A. Vrugt ◽  
Willem Bouten
Keyword(s):  
Spatial Distribution ◽  
Water Content ◽  
Inverse Modeling

Multiphase Inverse Modeling: Review and iTOUGH2 Applications

2004 ◽  
Vol 3 (3) ◽  
pp. 747-762 ◽  
Author(s):  
Stefan Finsterle
Keyword(s):  
Inverse Modeling

Effect of Time Dependence on Probabilistic Seismic-Hazard Maps and Deaggregation for the Central Apennines, Italy

2009 ◽  
Vol 99 (2A) ◽  
pp. 585-610 ◽  
Author(s):  
A. Akinci ◽  
F. Galadini ◽  
D. Pantosti ◽  
M. Petersen ◽  
L. Malagnini ◽  
...  
Keyword(s):  
Seismic Hazard ◽  
Time Dependence ◽  
Probabilistic Seismic Hazard ◽  
Hazard Maps ◽  
Central Apennines ◽  
Seismic Hazard Maps

scholarly journals A Review of Geophysical Modeling Based on Particle Swarm Optimization

2021 ◽  
Author(s):  
Francesca Pace ◽  
Alessandro Santilano ◽  
Alberto Godio
Keyword(s):  
Particle Swarm Optimization ◽  
Inverse Modeling ◽  
Critical Evaluation ◽  
Particle Swarm ◽  
Geophysical Data ◽  
Magnetic Data ◽  
Data Sets ◽  
Swarm Optimization ◽  
Geophysical Modeling ◽  
Original Works

AbstractThis paper reviews the application of the algorithm particle swarm optimization (PSO) to perform stochastic inverse modeling of geophysical data. The main features of PSO are summarized, and the most important contributions in several geophysical fields are analyzed. The aim is to indicate the fundamental steps of the evolution of PSO methodologies that have been adopted to model the Earth’s subsurface and then to undertake a critical evaluation of their benefits and limitations. Original works have been selected from the existing geophysical literature to illustrate successful PSO applied to the interpretation of electromagnetic (magnetotelluric and time-domain) data, gravimetric and magnetic data, self-potential, direct current and seismic data. These case studies are critically described and compared. In addition, joint optimization of multiple geophysical data sets by means of multi-objective PSO is presented to highlight the advantage of using a single solver that deploys Pareto optimality to handle different data sets without conflicting solutions. Finally, we propose best practices for the implementation of a customized algorithm from scratch to perform stochastic inverse modeling of any kind of geophysical data sets for the benefit of PSO practitioners or inexperienced researchers.

scholarly journals Emission factor estimation of ca. 160 emerging organic microcontaminants by inverse modeling in a Mediterranean river basin (Llobregat, NE Spain)

2015 ◽  
Vol 520 ◽  
pp. 241-252 ◽  
Author(s):  
Zoran Banjac ◽  
Antoni Ginebreda ◽  
Maja Kuzmanovic ◽  
Rafael Marcé ◽  
Martí Nadal ◽  
...  
Keyword(s):  
River Basin ◽  
Inverse Modeling ◽  
Emission Factor ◽  
Mediterranean River ◽  
Ne Spain ◽  
Factor Estimation
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