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					| Titre : | Évolution spatio-temporelle de la sismicité de la région Nord-Est Algérienne |  
					| Type de document : | document électronique |  
					| Auteurs : | Rahmani,Sofine taki-eddine, Auteur ; Issam Abacha, Directeur de thèse |  
					| Editeur : | Setif:UFA |  
					| Année de publication : | 2024 |  
					| Importance : | 1 vol (208 f .) |  
					| Format : | 29 cm |  
					| Langues : | Français (fre) |  
					| Catégories : | Thèses & Mémoires:Physique 
 |  
					| Mots-clés : | Northeast Algeria, Spatio-temporal evolution, Statistical analysis, Swarm sequences, Seismic sequences, Fluid driven, Mainshock-aftershock sequences.
 |  
					| Index. décimale : | 530 Physique |  
					| Résumé : | The seismic activity in Northeastern Algeria is characterized by the occurrence of swarms, often without a mainshock, or classic sequences comprising a mainshock followed by aftershocks. These seismic
 events exhibit strong temporal and spatial concentrations in both cases, lasting from days to months and
 spanning distances ranging from a few to tens of kilometers. Occasionally, these activities demonstrate a
 migration pattern over several kilometers across several weeks. While the advent of various seismological
 methodologies at CRAAG has enhanced seismic studies in Algeria, there remains a notable absence
 of detailed statistical analysis to characterize and categorize seismic sequences according to their spatiotemporal
 patterns and physical processes. This thesis aims to address this gap by employing robust statistical
 models to characterize earthquake sequences, focusing on quantifying their spatio-temporal patterns.
 It embarks on a comprehensive exploration of spatio-temporal pattern modeling, elucidating both mathematical
 and physical characteristics. Key aspects covered include determining magnitude completeness
 (mc), understanding magnitude distribution using the Gutenberg-Richter model, and examining spatiotemporal
 models like the Omori-Utsu law and the ETAS (Epidemic Type Aftershock Sequence) model.
 Additionally, it highlights physical models such as Rate-and-state friction, Coulomb failure, and time
 dependent stress rate. The thesis also scrutinizes various statistical analysis approaches, exploring the effects
 of declustering on parameter estimation and the influence of misestimating completeness magnitude
 on ETAS parameters. It further investigates techniques for achieving unbiased parameter estimation and
 explores the impact of disregarding aseismic forcing transients. Moreover, it compares the isotropic and
 anisotropic spatial distribution of aftershocks, shedding light on the complexities of seismic activity. Another
 significant aspect of the study is the detection and characterization of earthquake swarms, utilizing
 spatio-temporal ETAS models and moment release time series analysis. Employing two methodologies
 to identify swarm-like behavior, the research considers the tectonic and geological characteristics of the
 area, offering valuable insights into the nature of seismic swarms. Special emphasis is placed on the
 Beni-Ilmane earthquake sequence, one of the most important seismic events in Northeastern Algeria, in
 terms of the number of earthquakes produced and studies conducted. Through the application of statistical
 tests, the research endeavors to understand the underlying mechanisms driving the heightened
 seismicity observed in this sequence, drawing comparisons with previous physical and geological studies.
 In conclusion, this thesis significantly contributes to the understanding of seismicity in Northeastern
 Algeria. The analyses conducted provide insights into the spatio-temporal characteristics of earthquakes,
 crucial for predicting and managing seismic risks in the region. The comprehensive categorization of
 seismic sequences enhances targeted mitigation strategies, making a valuable contribution to the field of
 seismic research and facilitating informed decision-making for earthquake-prone regions.
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					| Note de contenu : | 
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					| Côte titre : | DPH/0302 |  
					| En ligne : | http://dspace.univ-setif.dz:8888/jspui/handle/123456789/4395 | 
Évolution spatio-temporelle de la sismicité de la région Nord-Est Algérienne [document électronique] / Rahmani,Sofine taki-eddine , Auteur ; Issam Abacha , Directeur de thèse . - [S.l.] : Setif:UFA , 2024 . - 1 vol (208 f .) ; 29 cm.Langues  : Français (fre ) 
					| Catégories : | Thèses & Mémoires:Physique 
 |  
					| Mots-clés : | Northeast Algeria, Spatio-temporal evolution, Statistical analysis, Swarm sequences, Seismic sequences, Fluid driven, Mainshock-aftershock sequences.
 |  
					| Index. décimale : | 530 Physique |  
					| Résumé : | The seismic activity in Northeastern Algeria is characterized by the occurrence of swarms, often without a mainshock, or classic sequences comprising a mainshock followed by aftershocks. These seismic
 events exhibit strong temporal and spatial concentrations in both cases, lasting from days to months and
 spanning distances ranging from a few to tens of kilometers. Occasionally, these activities demonstrate a
 migration pattern over several kilometers across several weeks. While the advent of various seismological
 methodologies at CRAAG has enhanced seismic studies in Algeria, there remains a notable absence
 of detailed statistical analysis to characterize and categorize seismic sequences according to their spatiotemporal
 patterns and physical processes. This thesis aims to address this gap by employing robust statistical
 models to characterize earthquake sequences, focusing on quantifying their spatio-temporal patterns.
 It embarks on a comprehensive exploration of spatio-temporal pattern modeling, elucidating both mathematical
 and physical characteristics. Key aspects covered include determining magnitude completeness
 (mc), understanding magnitude distribution using the Gutenberg-Richter model, and examining spatiotemporal
 models like the Omori-Utsu law and the ETAS (Epidemic Type Aftershock Sequence) model.
 Additionally, it highlights physical models such as Rate-and-state friction, Coulomb failure, and time
 dependent stress rate. The thesis also scrutinizes various statistical analysis approaches, exploring the effects
 of declustering on parameter estimation and the influence of misestimating completeness magnitude
 on ETAS parameters. It further investigates techniques for achieving unbiased parameter estimation and
 explores the impact of disregarding aseismic forcing transients. Moreover, it compares the isotropic and
 anisotropic spatial distribution of aftershocks, shedding light on the complexities of seismic activity. Another
 significant aspect of the study is the detection and characterization of earthquake swarms, utilizing
 spatio-temporal ETAS models and moment release time series analysis. Employing two methodologies
 to identify swarm-like behavior, the research considers the tectonic and geological characteristics of the
 area, offering valuable insights into the nature of seismic swarms. Special emphasis is placed on the
 Beni-Ilmane earthquake sequence, one of the most important seismic events in Northeastern Algeria, in
 terms of the number of earthquakes produced and studies conducted. Through the application of statistical
 tests, the research endeavors to understand the underlying mechanisms driving the heightened
 seismicity observed in this sequence, drawing comparisons with previous physical and geological studies.
 In conclusion, this thesis significantly contributes to the understanding of seismicity in Northeastern
 Algeria. The analyses conducted provide insights into the spatio-temporal characteristics of earthquakes,
 crucial for predicting and managing seismic risks in the region. The comprehensive categorization of
 seismic sequences enhances targeted mitigation strategies, making a valuable contribution to the field of
 seismic research and facilitating informed decision-making for earthquake-prone regions.
 |  
					| Note de contenu : | 
 |  
					| Côte titre : | DPH/0302 |  
					| En ligne : | http://dspace.univ-setif.dz:8888/jspui/handle/123456789/4395 | 
 |