A5073868501- earthquake and tectonic studies
- Seismology and Earthquake Studies
- Earthquake Detection and Analysis
- Theoretical and Computational Physics
- Stochastic processes and statistical mechanics
- Complex Systems and Time Series Analysis
- Climate variability and models
- Ecosystem dynamics and resilience
- Hydrology and Watershed Management Studies
- Coastal wetland ecosystem dynamics
- Seismic Imaging and Inversion Techniques
- Geochemistry and Geologic Mapping
- Microtubule and mitosis dynamics
- Complex Network Analysis Techniques
- Geology and Paleoclimatology Research
- Plant Water Relations and Carbon Dynamics
- Geological and Geochemical Analysis
- Meteorological Phenomena and Simulations
- Seismic Waves and Analysis
- High-pressure geophysics and materials
- Cellular transport and secretion
- Time Series Analysis and Forecasting
- Opinion Dynamics and Social Influence
- Topological and Geometric Data Analysis
- Markov Chains and Monte Carlo Methods
University of Nevada, Reno
2015-2024
Oregon State University
2018-2022
University of California, Los Angeles
2002-2014
Planetary Science Institute
2002-2014
Institute of Earthquake Prediction Theory and Mathematical Geophysics
2000-2005
Institute of Geophysics
2002
Russian Academy of Sciences
2000
Abstract We use recent results on statistical analysis of seismicity to present a robust method for comprehensive detection and earthquake clusters. The is based nearest‐neighbor distances events in space‐time‐energy domain. applied 1981–2011 relocated catalog southern California having 111,981 with magnitudes m ≥ 2 corresponding synthetic catalogs produced by the Epidemic Type Aftershock Sequence (ETAS) model. Analysis ETAS model demonstrates that cluster are accurate stable respect (1)...
We introduce a statistical methodology for clustering analysis of seismicity in the time-space-energy domain and use it to establish existence two statistically distinct populations earthquakes: clustered nonclustered. This result can be used, particular, nonparametric aftershock identification. The proposed approach expands Baiesi Paczuski [Phys. Rev. E 69, 066106 (2004)] based on space-time-magnitude nearest-neighbor distance $\ensuremath{\eta}$ between earthquakes. show that homogeneous...
Abstract. We review work on extreme events, their causes and consequences, by a group of European American researchers involved in three-year project these topics. The covers theoretical aspects time series analysis value theory, as well the deterministic modeling via continuous discrete dynamic models. applications include climatic, seismic socio-economic along with prediction. Two important results refer to (i) complementarity spectral terms part its power spectrum; (ii) need for coupled...
We document space-dependent clustering properties of earthquakes with m ≥ 4 in the 1975–2015 worldwide seismic catalogue Northern California Earthquake Data Center. clusters are identified using a nearest-neighbour distance time–space–magnitude domain. Multiple cluster characteristics compared heat flow level and type deformation defined by parameters strain rate tensor. The analysis suggests that dominant seismicity region depends strongly on flow, while style intensity play secondary role....
Abstract This is a second paper in study of statistical identification and classification earthquake clusters using relocated catalog 1981–2011 seismicity southern California synthetic catalogs produced by the Epidemic Type Aftershock Sequence model. Here we focus on event families —statistically significant composed foreshocks, mainshocks , aftershocks —that are detected with methodology discussed part I study. The analyzed their representation as time oriented tree graphs. results (1)...
Abstract River deltas are intricate landscapes with complex channel networks that self‐organize to deliver water, sediment, and nutrients from the apex delta top eventually coastal zone. The natural balance of material energy fluxes, which maintains a stable hydrologic, geomorphologic, ecological state river delta, is often disrupted by external perturbations causing topological dynamical changes in structure function. A formal quantitative framework for studying network connectivity...
Abstract We introduce an algorithm for declustering earthquake catalogs based on the nearest‐neighbor analysis of seismicity. The discriminates between background and clustered events by random thinning that removes according to a space‐varying threshold. threshold is estimated using randomized‐reshuffled are stationary, have independent space time components, preserve distribution original catalog. Analysis catalog produced Epidemic Type Aftershock Sequence model demonstrates correctly...
SUMMARY We examine localization processes of low magnitude seismicity in relation to the occurrence large earthquakes using three complementary analyses: (i) estimated production rock damage by background events, (ii) evolving occupied fractional area and (iii) progressive coalescence individual into clusters. The different techniques provide information on time scales spatial extent weakened damaged regions. Techniques use declustered catalogues avoid occasional strong fluctuations...
Abstract Deltas are landforms that deliver water, sediment and nutrient fluxes from upstream rivers to the deltaic surface eventually oceans or inland water bodies via multiple pathways. Despite their importance, quantitative frameworks for analysis lack behind those available tributary networks. In a companion paper, delta channel networks were conceptualized as directed graphs spectral graph theory was used design framework exploring connectivity flux dynamics. Here we use this introduce...
We analyze statistical features of background and clustered subpopulations earthquakes in different regions an effort to distinguish between human‐induced natural seismicity. Analysis end‐member areas known be dominated by (The Geyser geothermal field northern California TauTona gold mine South Africa) regular tectonic activity (the San Jacinto fault zone southern the Coso region, excluding eastern central California) reveals several distinguishing characteristics. Induced seismicity is...
Abstract After approximately 2 months of swarm‐like earthquakes in the Mogul neighborhood west Reno, NV, seismicity rates and event magnitudes increased over several days culminating an M w 4.9 dextral strike‐slip earthquake on 26 April 2008. Although very shallow, main shock had a different sense slip than locally mapped dip‐slip surface faults. We relocate 7549 earthquakes, calculate 1082 focal mechanisms, statistically cluster relocated catalog to understand character interaction active...
Significance River deltas are critically important Earthscapes at the land–water interface, supporting dense populations and diverse ecosystems while also providing disproportionately large food energy resources. Deltas exhibit complex channel networks that dictate how water, sediment, nutrients spread over delta surface. By adapting concepts from information theory, we show a range of field numerically generated obey an optimality principle suggests self-organize to increase diversity...
Abstract Deltas contain complex self‐organizing channel networks that nourish the surface with sediment and nutrients. Developing a quantitative understanding of how controlling physical mechanisms delta formation relate to they imprint on landscape remains an open problem, hindering further progress classification process from form. Here we isolate effect composition network structure by analyzing Delft3D river‐dominated deltas within recently introduced graph‐theoretic framework for...
We examine the relations between spatial symmetry properties of earthquake patterns along faults in California (CA) and local velocity structure images to test hypothesis that ruptures on bimaterial have statistically preferred propagation directions. The analysis employs seismic catalogues for 25 fault zones CA. distinguish clustered homogeneous parts each catalogue, using a recently introduced cluster analysis, asymmetry offspring with respect parent events within portion catalogue....
The topology of river networks has been a subject intense research in hydro‐geomorphology, with special attention to self‐similar (SS) structures that allow one develop concise representations and scaling frameworks for hydrological fluxes. Tokunaga (TSS) represent particularly popular two‐parameter class models, commonly accepted hydrology but rarely tested rigorously. In this paper we ( ) present statistical framework testing the TSS assumption estimating parameters; b an improved method...
Microtubule (MT)-based transport of organelles driven by the opposing MT motors kinesins and dynein is tightly regulated in cells, but underlying molecular mechanisms remain largely unknown. Here we tested regulation ubiquitous protein MAP4 using Xenopus melanophores as an experimental system. In these pigment granules (melanosomes) move along MTs to cell center (aggregation) or periphery (dispersion) means cytoplasmic kinesin-2, respectively. We found that aggregation signals induced...
Abstract We analyze nearest‐neighbor proximities of earthquakes in California based on the joint distribution ( T , R ) rescaled time and distance between pairs (Zaliapin & Ben‐Zion, 2013a, https://doi.org/10.1002/jgrb.50179 ), using seismic catalogs from several regions for San Jacinto Fault Zone (SJFZ). The study aims to identify informative modes diagrams beyond general background clustered modes, assess derived by different methods. results show that earthquake clusters with large...
This study is motivated by problems related to environmental transport on river networks. We establish statistical properties of a flow along directed branching network and suggest its compact parameterization. The downstream treated as particular case nearest neighbor hierarchical aggregation with respect the metric induced structure network. describe static geometric drainage tree, referred introduce an associated dynamic tree that describes tree. It well known networks can be described...