PWG - Actualidad en Geofísica
HOME | Free E-book

Julio de 2006
Explosion energy of the 2004 eruption of the Asama Volcano, central Japan, inferred from ionospheric disturbances
Authors: Kosuke Heki
Link: Click here

Abstract
The Japanese dense array of Global Positioning System recorded ionospheric disturbances as

changes in Total Electron Content ~ 12 minutes after the September 1 2004 eruption of the Asama Volcano, Central Japan. The disturbance had a period of one and a quarter minutes and propagated as fast as ~ 1.1 km/s, suggesting its origin as the acoustic wave generated by the explosion. By comparing the disturbance amplitudes with those by a surface mine blast with a known energy, the overall Asama explosion energy is inferred to be about 2 × 1014 J.

Julio de 2006
Structure of the San Andreas Fault at SAFOD from P-wave tomography and fault-guided wave mapping
Authors: Peter Malin , Eylon Shalev et al
Link: Click here

Abstract
Fault-guided waves reveal a low-velocity fault segment a few hundred meters southwest of the main strand of the San Andreas Fault (SAF) system. In 2004, the San Andreas Fault Observatory at Depth (SAFOD) Main Hole was

drilled 2.5 km underground and 0.7 km west of the SAF surface trace. A 3-component, 4.5-Hz seismograph was installed near the bottom of this hole. This instrument recorded fault zone guided (Fg) waves originating from earthquakes along the main SAF ~2 km north and 3 km south of the SAFOD site. This ~5 km length corresponds to a distinctive low-velocity structure imaged in 2003 using microearthquakes recorded on the Pilot Hole array. Because this structure transmits Fg-waves from the main fault, it is probably connected to the main SAF and is most likely a major, unmapped fault.
Julio de 2006
Quantitative network model predictions of saturation behind infiltration fronts and comparison with experiments
Author: David A. DiCarlo
Link: Click here

Abstract
Infiltrations with certain boundary and initial conditions show an anomalous behavior where the water saturation and pressure profile are inverted in the vertical direction. This occurs when the water at the infiltration front oversaturates the porous medium, causing drainage behind the front, and is most likely due to the front being sharp at the pore scale. Here we attempt to quantitatively model water flow at infiltration fronts by using a physically based network model that

includes viscous effects. The network model includes pore and throat elements of different shapes and sizes, and a connection topology based on geologic media. Viscous effects are added quasi-statically through calculating the water pressure in each element for a particular applied flux. For media with a small initial saturation, the infiltration flux range for which saturation overshoot occurs is predicted by the network model. For initially dry media, the model predictions scale correctly with media size but require an independent parameter to predict the absolute transition flux. The predicted magnitude of the overshoot does not match particularly well with the measured magnitude for coarse media, although this may be the result of certain simplified assumptions in the model. The results suggest that pore-scale modeling can make certain quantitative predictions of saturation overshoot.
Julio de 2006
Bayesian neural network for rainfall-runoff modeling
Authors: Mohammad Sajjad Khan and Paulin Coulibaly
Link: Click here

Abstract
In this paper, a Bayesian learning approach is introduced to train a multilayer feed-forward network for daily river flow and reservoir inflow simulation in a cold region river basin in Canada. In Bayesian approach, uncertainty about the relationship between inputs and outputs is initially taken care of by an assumed prior distribution of parameters (weights and biases). This prior distribution is updated to posterior distribution using a likelihood function following Bayes' theorem while data are observed. This posterior distribution is called the objective function of a network in the Bayesian learning approach. The objective function is maximized using a suitable optimization technique. Once the network is trained, the predictive distribution of the network outputs is obtained by integrating over the posterior distribution of weights. In this study, Gaussian prior distribution and a Gaussian noise model are used in defining posterior distribution.

The network has been optimized using a scaled conjugate gradient technique. Posterior distribution of weights is approximated to Gaussian during prediction. Prediction performance of the Bayesian neural network (BNN) is compared with the results obtained from a standard artificial neural network (ANN) model and a widely used conceptual rainfall-runoff model, namely, HBV-96. The BNN model outperformed the conceptual model and slightly outperformed the standard ANN model in simulating mean, peak, and low river flows and reservoir inflows. The significant contribution of the Bayesian method over the conventional ANN approach, among others, is the uncertainty estimation of the outputs in the form of confidence intervals which are particularly needed in practical water resources applications. Prediction confidence limits (or intervals) indicate the extent to which one can rely on predictions for decision making. It is shown that the BNN can provide reliable streamflow and reservoir inflow forecasts without a loss in model prediction accuracy as compared to standard ANN and conceptual model HBV. Another significant advantage of BNN approach is that the overfitting and underfitting problems are automatically taken care of by the Bayesian learning algorithm, which conversely remain serious problems with conventional ANN learning algorithm.
Julio de 2006
Climate change scenarios for seasonal precipitation in South America from IPCC-AR4 models
Authors: Carolina Vera , Gabriel Silvestri et al
Link: Click here

Abstract
A subset of climate simulations of the 20th century from the IPCC-AR4 is analyzed to assess the ability of these models to reproduce the observed climatological seasonal precipitation in South America during the period 1970-1999. Changes of the model climatology in a climate change

scenario (SRESA1b) for the period 2070-2099 are also discussed. Results show that models are able to reproduce the main features of the precipitation seasonal cycle over South America, although the precipitation in the SACZ region and the precipitation maximum over southeastern South America observed during the cold season are not well- represented. There is a general consensus among models that the precipitation changes projected are mainly: i) an increase of summer precipitation over southeastern subtropical South America; ii) a reduction of winter precipitation over most of the continent; and iii) reduction of precipitation in all seasons along the southern Andes.
Julio de 2006
Simulation study of the one-dimensional Burridge-Knopoff model of earthquakes
Authors: Takahiro Mori and Hikaru Kawamura
Link: Click here

Abstract
Spatiotemporal correlations of the one-dimensional spring-block (Burridge-Knopoff) model of earthquakes are extensively studied by means of numerical computer simulations. Particular attention is paid to clarifying how the statistical properties of earthquakes depend on the frictional and elastic properties of earthquake faults. It is found that as the velocity-weakening tendency of the friction force gets weaker, the

system tends to be more critical, while as the velocity-weakening tendency gets stronger, the system tends to be more off critical with enhanced features of a characteristic earthquake. The model exhibits several eminent precursory phenomena prior to the large event in its spatiotemporal correlations. Preceding the main shock, the frequency of smaller events is gradually enhanced, whereas just before the main shock, it is suppressed in a close vicinity of the epicenter of the upcoming event (the Mogi doughnut). The timescale of the onset of the doughnut-like quiescence depends on the extent of the frictional instability. Under certain conditions, preceding the main shock, the apparent B value of the magnitude distribution increases significantly. The existence of such distinct precursory phenomena may open a way to the prediction of the time and the position of the upcoming large event.
Julio de 2006
Upper mantle velocity-temperature conversion and composition determined from seismic refraction and heat flow
Authors: H. K. C. Perry , C. Jaupart et al
Link: Click here

Abstract
We compile upper mantle P n velocities from seismic refraction/wide-angle reflection surveys in the southern Superior Province of the Canadian Shield and compare them with temperatures at the Moho deduced from heat flow data. Calculated Moho temperatures and P n velocities correlate well, showing that in this area, P n depends primarily on temperature. The obtained values of delta V(P n )/delta T depend weakly on the assumed value of Moho heat flow and are on the order of -6.0 × 10-4 ± 10% km s-1 K-1, within the range of temperature derivatives obtained in laboratory studies of ultramafic rocks.

Comparison between observed P n velocities and predicted values for several mineralogical models at Moho temperatures allows constraints on both the Moho heat flow and the shallow mantle composition. For all Moho heat flows, undepleted (clinopyroxene-rich) mantle compositions do not allow a good fit to the data. For depleted mantle compositions, temperatures consistent with the observed P n velocities correspond to values of Moho heat flow larger than 12 mW m-2. For our preferred Moho heat flow of 15 mW m-2, the best fit mantle composition is slightly less depleted than models for average Archean subcontinental lithospheric mantle. This may be due to rejuvenation by melt-related metasomatism during the Keweenawan rifting event. The similarity in P n - T conversion factors estimated from this empirical large-scale geophysical study and those from laboratory data provides confidence in the absolute temperature values deduced from heat flow measurements and seismic studies.
Julio de 2006
On the chaotic nature of solar-terrestrial environment: Interplanetary Alfvén intermittency
Authors: A. C.-L. Chian , Y. Kamide et al
Link: Click here

Abstract
We present an overview of observational and theoretical evidence of chaos and intermittency in the solar-terrestrial environment including solar dynamo, solar atmosphere, solar wind, and terrestrial magnetosphere-ionosphere-atmosphere. The chaotic nature of space

plasmas is studied by a nonlinear model of Alfvén waves described by the low-dimensional limit of the derivative nonlinear Schrödinger equation given by its stationary solutions in the frame moving with the driver wave velocity. A periodic window of the bifurcation diagram is constructed to identify two types of Alfvén chaos related to type-I intermittency and crisis-induced intermittency. We show that an Alfvén chaotic attractor is composed of chaotic saddles and unstable periodic orbits and explain the links between these unstable structures and Alfvén intermittency. The role of interplanetary Alfvén intermittency in the solar wind driving of intense geomagnetic activities is discussed.
Julio de 2006
Direct gas injection into saturated glass beads: Transition from incoherent to coherent gas flow pattern
Authors: Helmut Geistlinger , Gunnar Krauss et al
Link: Click here

Abstract
The transition from incoherent to coherent buoyancy-driven gas flow is investigated in two-dimensional tanks filled with glass beads using a high-resolution optical-gravimetrical setup.

Both a grain-size (d k )- and flow rate (Q)-dependent transition are observed in the gas flow pattern. Standard quasistatic criteria do not explain the experimental results, since they do not take into account the competition between stabilizing friction forces and destabilizing capillary and gravitational forces. Conceptualizing the steady state tortuous gas flow as core-annulus flow and applying Hagen-Poiseuille flow for a straight capillary, we propose a flow rate and grain-size-dependent stability criterion that accounts for the experimental results and is used to classify the experiments in a d k -Q diagram.
Julio de 2006
Theory of borehole stability when drilling through salt formations
Authors: José M. Carcione et al
Link: Click here

Abstract
We present a mathematical analysis of borehole stability when drilling through rock salt. First, we consider an elastic transversely isotropic medium and find the optimal mud weight as a function of the vertical overburden and horizontal tectonic stresses. Then, the Zener and Maxwell mechanical models are used to model the effects of transient and steady-state creep flow, respectively, in isotropic media. Under certain conditions such as the absence of dilatational

anelasticity, the Burger model can be used to describe the steady-state flow, including transient creep effects. The type of creep is regulated by critical octahedral-stress values that depend on temperature and pressure. A typical drilling results in conditions of plane strain, whose solution is given by Kirsch's equations. In this case, the borehole is subject to minimum and maximum horizontal stresses, which differ from the vertical stress. The analysis provides expressions for the shape of the borehole-cross section, the borehole-wall closure time, and the optimal mud weight to avoid wall collapse or expansion. It is shown that an anisotropic state of tectonic stress may require mud pressures exceeding the overburden stress and that the calculation should consider the joint optimization of the shape and area of the borehole cross section.
Julio de 2006
Ultrasonic borehole velocity imaging
Authors: Kenneth W. Winkler and Ralph D'Angelo
Link: Click here

Abstract
We describe a new technique for making high-resolution velocity images of rocks using refracted ultrasonic waves. The use of refracted waves makes this technique potentially suitable for imaging borehole walls. In the laboratory, we use a single-transmitter, two-receiver, first-arrival method for making velocity measurements, with a

spatial resolution on the order of 1 cm. Our acoustic pulses are centered near 200 kHz. Scans of a borehole wall reveal dipping thin layers and fractures. When external stress is applied perpendicular to the borehole, stress concentrations appear on our images as axial bands of high and low velocities. Breakouts created by high stress also can be imaged. On a planar sample, a velocity image reveals shale laminations and carbonate stringers. For field applications, this technique offers the potential for imaging in both conductive and nonconductive muds and provides images based on a physical property (velocity) that currently is not used for fine-scale borehole imaging.
Julio de 2006
Prediction of vein connectivity using the percolation approach: model test with field data
Authors: M Belayneh, M Masihi, S K Matthäi and P R King
Link: Click here

Abstract
Evaluating the uncertainty in fracture connectivity and its effect on the flow behaviour of natural fracture networks formed under in situ conditions is an extremely difficult task. One widely used probabilistic approach is to use percolation theory, which is well adapted to estimate the connectivity and conductivity of geometrical objects near the percolation threshold. In this paper, we apply scaling laws from percolation theory to predict the connectivity of vein sets

exposed on the southern margin of the Bristol Channel Basin. Two vein sets in a limestone bed interbedded with shales on the limb of a rollover fold were analysed for length, spacing and aperture distributions. Eight scan lines, low-level aerial photographs and mosaics of photographs taken with a tripod were used. The analysed veins formed contemporaneously with the rollover fold during basin subsidence on the hanging wall of a listric normal fault. The first vein set, V1, is fold axis-parallel (i.e. striking ~100°) and normal to bedding. The second vein set, V2, strikes 140° and crosscuts V1. We find a close agreement in connectivity between our predictions using the percolation approach and the field data. The implication is that reasonable predictions of vein connectivity can be made from sparse data obtained from boreholes or (limited) sporadic outcrop.
Julio de 2006
A method for determining gas-hydrate or free-gas saturation of porous media from seismic measurements
Author: Matthias Zillmer
Link: Click here

Abstract
The occurrence of gas hydrate or free gas in a porous medium changes the medium's elastic properties. Explicit formulas for gas-hydrate or free-gas saturation of pore space on the basis of the Frenkel-Gassmann equations describe the elastic moduli and seismic velocities of a porous medium for low frequencies. A key assumption of the model is that either gas hydrate or free gas is present in the pore space in addition to water. Under this assumption, the method uses measured P- and S-wave velocities and bulk density along with estimates of the moduli and

densities of the solid and fluid phases present to determine whether gas or hydrate is present. The method then determines the saturation level of either the gas or the hydrate. I apply the method to published velocity and density data from seismic studies at the antarctic Shetland margin and at the Storegga slide, offshore Norway, and to borehole log and core data from Ocean Drilling Program (ODP) Leg 164 at Blake Ridge, offshore South Carolina. A sensitivity analysis reveals that the standard deviations of the gas-hydrate and free-gas saturations reach 30%-70% of the saturations if the standard deviations of the P- and S-wave velocities and of the bulk density are 50 m/s and 0.05 g/cm3, respectively. I conclude that a reliable quantification of gas hydrate and free gas can be achieved by seismic methods only if the seismic velocities and bulk density of the medium are determined with high accuracy from the measured data.
Julio de 2006
Ground-penetrating radar theory and application of thin-bed offset-dependent reflectivity
Authors: John H. Bradford and Jacob C. Deeds
Link: Click here

Abstract
Offset-dependent reflectivity or amplitude-variation-with-offset (AVO) analysis of ground-penetrating radar (GPR) data may improve the resolution of subsurface dielectric permittivity estimates. A horizontally stratified medium has a limiting layer thickness below which thin-bed AVO analysis is necessary. For a typical GPR signal,

this limit is approximately 0.75 of the characteristic wavelength of the signal. Our approach to modeling the GPR thin-bed response is a broadband, frequency-dependent computation that utilizes an analytical solution to the three-interface reflectivity and is easy to implement for either transverse electric (TE) or transverse magnetic (TM) polarizations. The AVO curves for TE and TM modes differ significantly. In some cases, constraining the interpretation using both TE and TM data is critical. In two field examples taken from contaminated-site characterization data, we find quantitative thin-bed modeling agrees with the GPR field data and available characterization data.
Julio de 2006
Induced-polarization detection and mapping of contaminant plumes
Authors: John A. Sogade, Francesca Scira-Scappuzzo et al
Link: Click here

Abstract
Several laboratory and scaled model investigations suggest that organic contaminants affect the surface electrical properties of exposed soils/rocks and therefore produce measurable induced polarization (IP) signatures. However, there is little field evidence of an IP methodology for contaminant mapping. A 2D time-domain IP method is developed for mapping the FS-12 contaminant plume at the Massachusetts Military Reservation (MMR) located in Cape Cod, Massachusetts. The FS-12 plume consists of approximately 265 m3 of fuel that erupted from a broken underground pipeline in the early 1970s. Benzene and ethylene dibromide (EDB) are the primary contaminants at FS-12, with concentrations exceeding the allowed maximum

concentration levels (MCL), while other constituents of the plume did not exceed their MCL. Therefore, the contaminants of interest are benzene and EDB, partly because of their health risk and partly because they present the highest concentrations (2400 and 1000 µg/L, respectively) among the plume constituents and are therefore more likely to be related to the polarization source. IP data were acquired along a survey line that partially transects the plume extending over contaminated and uncontaminated zones and were inverted to give 2D resistivity and chargeability plots to 100 m depth and a horizontal extent of 400 m. By separately inverting IP data derived from time windows located at short and long decay times, a time-domain gross (spectral) chargeability difference is produced. Both the chargeability and gross spectral chargeability difference show good agreement with the known location of the plume from monitoring wells, with the IP chargeability section suggesting contaminant distribution detail that cannot otherwise be inferred from the sparse borehole distribution.
Julio de 2006
Parallel 3-D simulation of seismic wave propagation in heterogeneous anisotropic media: a grid method approach
Authors:Hongwei Gao and Jianfeng Zhang
Link: Click here

Abstract
This paper presents a parallel numerical technique for modelling wave propagation in 3-D heterogeneous anisotropic media. The scheme is developed by following a so-called 3-D grid method of the elastic-isotropic case. The proposed parallel algorithm needs small data exchanges between subdomains in contrast to that developed based on other numerical techniques; therefore, it is more suitable for a PC-Cluster. The algorithm is implemented on a mesh of mixed tetrahedrons and parallelepipedons, thus providing an accurate description of arbitrary 3-D surface and interface topographies and an easy generation of a non-uniform, unstructured mesh. The unstructured mesh means that the proposed algorithm can reduce the memory

requirement by flexibly assigning small grid spacing in regions with low velocities and larger grid spacing in regions with higher velocities. Like the 3-D grid method, the resulting anisotropic scheme naturally satisfies the free-surface boundary conditions of arbitrary surface topography. As a result, the near-surface scattering effects can be more accurately modelled. The proposed scheme can handle a general anisotropy without any interpolations. In this paper, the transversely isotropic medium with a tilted symmetry axis, as typically caused by a system of parallel cracks or fine layers, is discussed in detail. A paraxial absorbing boundary condition in a 3-D general anisotropic case is also proposed. Comparisons with analytical solutions demonstrate the accuracy of the parallel algorithm. Computed 3-D radiation patterns illustrate shear-wave splitting, as predicted by the theory. We show the generality and flexibility of the algorithm by modelling wave propagation in an anisotropic half-space with a hemispherical crater on the surface and in mixed isotropic/anisotropic models with horizontal and inclined interfaces.
Julio de 2006
The effect of energy feedbacks on continental strength
Authors: Klaus Regenauer-Lieb et al
Link: Click here

Abstract
The classical strength profile of continents1, 2 is derived from a quasi-static view of their rheological response to stress-one that does not consider dynamic interactions between brittle and ductile layers. Such interactions result in complexities of failure in the brittle-ductile transition and the need to couple energy to understand strain localization. Here we

investigate continental deformation by solving the fully coupled energy, momentum and continuum equations. We show that this approach produces unexpected feedback processes, leading to a significantly weaker dynamic strength evolution. In our model, stress localization focused on the brittle-ductile transition leads to the spontaneous development of mid-crustal detachment faults immediately above the strongest crustal layer. We also find that an additional decoupling layer forms between the lower crust and mantle. Our results explain the development of decoupling layers that are observed to accommodate hundreds of kilometres of horizontal motions during continental deformation.

Julio de 2006
S-transform view of geomagnetically induced currents during geomagnetic superstorms
Authors: Antti Pulkkinen and Ryuho Kataoka
Link: www.agu.org/pubs/crossref/2006/
2006GL025822.shtml

Abstract
A novel time-frequency analysis method (S-transform) capable of handling noisy non-stationary signals is applied to study the properties of geomagnetically induced current (GIC) fluctuations in the Finnish natural gas pipeline. New local time- and storm phase-dependent S-transform spectral properties of

auroral region GIC fluctuations during geomagnetic superstorms are reported. More specifically, the S-transform spectra have two distinct regions containing the most of the spectral power that persisted from storm to storm: main phase-related wide-band fluctuations driven possibly by a substorm-type ionospheric activity centered around the local midnight and recovery phase-related narrow-band fluctuations associated with Pc5 range geomagnetic pulsations in the local morning region. Based on this observed "stability", a new S-transform-based statistical approach using, for example, an ensemble of different S-transform responses for known storms is proposed for GIC prediction.

Julio de 2006
Thermal equation of state of Fe3S and implications for sulfur in Earth's core
Authors: Christopher T. Seagle, Andrew J. Campbellet, Dion L. Heinz, Guoyin Shen and Vitali B. Prakapenka
Link: www.agu.org/pubs/crossref/2006/
2005JB004091.shtml

Abstract
Iron (Fe) and coexisting Fe3S were studied simultaneously using synchrotron X-ray diffraction and a laser-heated diamond anvil cell (DAC). The thermal equation of state (EOS) of Fe3S was investigated up to pressures of 80 GPa and temperatures of 2500 K. Fitting a third-order Birch-Murnaghan EOS to the room temperature data yielded bulk modulus K0 = 156(7) GPa (values in parentheses are standard deviation) and pressure derivative K'0 = 3.8(3) calibrated against

NaCl in the B2 structure. The room temperature data were also calibrated against the EOS of hcp-Fe for comparison and aid in the determination of the thermal pressure contribution of Fe3S. This fit yielded bulk modulus K0 = 113(9) GPa and pressure derivative K'0 = 5.2(6). The thermal pressure contribution of Fe3S was assumed to be of the form Delta P thermal = aK Delta T, where aK is constant. The best fit to the data yielded aK = 0.011(2) GPa K-1. Iron and Fe3S coexisted in the high-pressure, high-temperature experiments, and a density relationship between Fe and Fe3S was found to be linear and independent of temperature. Extrapolation of the data to the core-mantle boundary (CMB), using an assumed temperature of 3500 K at the CMB, a 2% volume change associated with melting, and applying a small adjustment to account for the nickel content of the core indicates that 14.7(11) wt % sulfur is adequate to resolve the density deficit of the outer core.

Junio de 2006
Tectonic discrimination diagrams revisited
Author: Pieter Vermeesch
Link: www.agu.org/pubs/crossref/2006/
2005GC001092.shtml

Abstract
The decision boundaries of most tectonic discrimination diagrams are drawn by eye. Discriminant analysis is a statistically more rigorous way to determine the tectonic affinity of oceanic basalts based on their bulk-rock chemistry. This method was applied to a database of 756 oceanic basalts of known tectonic affinity (ocean island, mid-ocean ridge, or island arc). For each of these training data, up to 45 major, minor, and trace elements were measured. Discriminant analysis assumes multivariate normality. If the same covariance structure is shared by all the classes (i.e., tectonic affinities), the decision boundaries are linear, hence the term linear discriminant analysis (LDA). In contrast with this, quadratic discriminant analysis (QDA) allows the classes to have different covariance structures. To solve the statistical problems associated with the constant-sum constraint of geochemical data, the training

data must be transformed to log-ratio space before performing a discriminant analysis. The results can be mapped back to the compositional data space using the inverse log-ratio transformation. An exhaustive exploration of 14,190 possible ternary discrimination diagrams yields the Ti-Si-Sr system as the best linear discrimination diagram and the Na-Nb-Sr system as the best quadratic discrimination diagram. The best linear and quadratic discrimination diagrams using only immobile elements are Ti-V-Sc and Ti-V-Sm, respectively. As little as 5% of the training data are misclassified by these discrimination diagrams. Testing them on a second database of 182 samples that were not part of the training data yields a more reliable estimate of future performance. Although QDA misclassifies fewer training data than LDA, the opposite is generally true for the test data. Therefore LDA is a cruder but more robust classifier than QDA. Another advantage of LDA is that it provides a powerful way to reduce the dimensionality of the multivariate geochemical data in a similar way to principal component analysis. This procedure yields a small number of "discriminant functions," which are linear combinations of the original variables that maximize the between-class variance relative to the within-class variance.

Junio de 2006
Multifractality and rainfall extremes: A review
Authors: Daniele Veneziano, Andreas Langousis et al
Link: http://www.agu.org/pubs/crossref/2006/
2005WR004716.shtml

Abstract
The multifractal representation of rainfall and its use to predict rainfall extremes have advanced significantly in recent years. This paper summarizes this body of work and points at some open questions. The need for a coherent overview comes in part from the use of different terminology, notation, and analysis methods in the literature and in part from the fact that results are dispersed and not always readily available.

Two important trends have marked the use of multifractals for rainfall and its extremes. One is the recent shift of focus from asymptotic scaling properties (mainly for the intensity-duration-frequency curves and the areal reduction factor) to the exact extreme distribution under nonasymptotic conditions. This shift has made the results more relevant to hydrologic applications. The second trend is a more sparing use of multifractality in modeling, reflecting the limits of scale invariance in space-time rainfall. This trend has produced models that are more consistent with observed rainfall characteristics, again making the results more suitable for application. Finally, we show that rainfall extremes can be analyzed using rather rough models, provided the parameters are fitted to an appropriate range of large-deviation statistics.

Junio de 2006
Numerical simulations of frictional melting: Small dependence of shear stress drop on viscosity parameters
Authors: S. Sirono, K. Satomi et al
Link: www.agu.org/pubs/crossref/2006/
2005JB003858.shtml

Abstract
Frictional melting during coseismic slipping strongly affects dynamic sliding. An idealized numerical simulation of shear stress drop due to lubrication of fault surfaces by frictional melting is performed to investigate dynamical adjustment of melt thickness and its dependence on material properties. We numerically solved one-dimensional heat conduction equations coupled with hydrodynamic equations of motion of the melt layer. We adopt a simple Arrhenius-type temperature dependence of melt viscosity with a parametric factor eta sub 0. After the initial transient stage, the evolution of the melt layer

asymptotes to the late stage, where the melt thickness increases as root square (t) and the generated shear stress drops as 1/root square (t). An analytic self-similar solution of the temperature profile for the late stage is obtained. The balance between the viscous heat generation and conductive heat loss characterizes the late stage. For small eta sub 0, the melt thickness is proportional to eta sub 0, whereas it will saturate for a larger eta sub 0. This is because the strong temperature dependence of viscosity enables an automatic adjustment of viscosity, which drops through the temperature increase due to the viscous heating even if a large eta sub 0 is chosen. Numerical results and the thickness data of natural pseudotachylyte layers were compared. A maximum ratio X/ root square (D) (X is thickness, D is sliding distance) exists above which no solution is found. The effective thermal conductivity of the melt layer should be large, probably due to the sliding surface roughness. Comparison with laboratory experimental results showed that the normal stress applied to the sample is an important parameter for stress drop.

Junio de 2006
Earthquake recurrence as a record breaking process
Authors: Jörn Davidsen, Peter Grassberger et al
Link: www.agu.org/pubs/crossref/2006/
2006GL026122.shtml

Abstract
Extending the central concept of recurrence times for a point process to recurrent events in space-time allows us to characterize seismicity as a record breaking process using only

spatiotemporal relations among events. Linking record breaking events with edges between nodes in a graph generates a complex dynamical network isolated from any length, time or magnitude scales set by the observer. For Southern California, the network of recurrences reveals new statistical features of seismicity with robust scaling laws. The rupture length and its scaling with magnitude emerges as a generic measure for distance between recurrent events. Further, the relative separations for subsequent records in space (or time) form a hierarchy with unexpected scaling properties.

Junio de 2006
On the geomagnetic effects of solar wind interplanetary magnetic structures
Authors: E. Echer, W. D. Gonzalez et al
Link: www.agu.org/pubs/crossref/2006/
2005SW000200.shtml

Abstract
We present in this work a statistical study of the geoeffectiveness of the solar wind magnetic interplanetary structures over the entire observational period (1964–2003). The structures studied were magnetic clouds (MCs, 170 events), corotating interaction regions (CIRs, 727 events) and interplanetary shocks (830 events). The geoeffectiveness was assessed in terms of the geomagnetic index Kp, AE, and Dst peak values

within 2 days after the interplanetary structure had passed near Earth's orbit. Frequency distributions were obtained that give the probability of every interplanetary structure being followed by intense, moderate, weak, or quiet (none) magnetic activity levels. The knowledge of probability distribution is important in schemes to forecast space weather conditions after the detection, by in situ solar wind observations, of an interplanetary structure approaching Earth. We observed that magnetic clouds are more efficient than shocks or CIRs in producing all the geomagnetic activity disturbances; CIRs are themselves more geoeffective as measured by the AE activity. We have confirmed that compound structures (shocks plus MCs) are more geoeffective in every type of magnetospheric activity than isolated structures.

Junio de 2006
Global models of surface wave attenuation
Authors: Colleen A. Dalton and Göran Ekström
Link: http://www.agu.org/pubs/crossref/2006/
2005JB003997.shtml

Abstract
A large data set of fundamental mode Rayleigh wave amplitudes is analyzed to derive global models of surface wave attenuation (1/Q). The data set consists of measurements of Rayleigh wave amplitude anomalies in the period range 50-250 s for 347 earthquakes observed at 179 seismic stations. The amplitude anomalies are considered to depend on four factors: intrinsic attenuation along the ray path, elastic focusing effects along the ray path, a source factor accounting for uncertainties in the strength of excitation, and a receiver factor accounting for uncertainties in the response at the station. The amplitude data are inverted simultaneously for

global maps of attenuation expanded in spherical harmonics up to degree 12, global maps of phase velocity expanded to degree 20, and source and receiver correction factors. All four variable types are shown to be important in explaining the amplitude anomalies. A data set of phase delay measurements provides additional constraints on velocity structure. The maps of attenuation obtained by simultaneous inversion for elastic and anelastic models contain important features that are not robustly imaged when the effect of focusing on wave amplitude is ignored. These include high attenuation along western North America and along the East Pacific Rise and other ridge systems and low attenuation associated with stable continental interiors. The global attenuation maps exhibit a strong correlation with phase velocity maps corrected for the effect of the crust, particularly for periods <200 s. The correlation suggests that the variability in both Q and velocity in the shallow upper mantle is primarily thermal in origin.

Junio de 2006
Are the Earth and the Moon compositionally alike? Inferences on lunar composition and implications for lunar origin and evolution from geophysical modeling
Authors: A. Khan , J. Maclennan et al
Link: http://www.agu.org/pubs/crossref/2006/
2005JE002608.shtml

Abstract
The main objective of the present study is to discuss in detail the results obtained from an inversion of the Apollo lunar seismic data set, lunar mass, and moment of inertia. We inverted directly for lunar chemical composition and temperature using the model system CaO-FeO-MgO-Al2O3-SiO2. Using Gibbs free energy minimization, stable mineral phases at the temperatures and pressures of interest, their modes and physical properties are calculated. We determine the compositional range of the oxide elements, thermal state, Mg#, mineralogy and physical structure of the lunar interior, as well as

constraining core size and density. The results indicate a lunar mantle mineralogy that is dominated by olivine and orthopyroxene (~80 vol%), with the remainder being composed of clinopyroxene and an aluminous phase (plagioclase, spinel, and garnet present in the depth ranges 0-150 km, 150-200 km, and >200 km, respectively). This model is broadly consistent with constraints on mantle mineralogy derived from the experimental and observational study of the phase relationships and trace element compositions of lunar mare basalts and picritic glasses. In particular, by melting a typical model mantle composition using the pMELTS algorithm, we found that a range of batch melts generated from these models have features in common with low Ti mare basalts and picritic glasses. Our results also indicate a bulk lunar composition and Mg# different to that of the Earth's upper mantle, represented by the pyrolite composition. This difference is reflected in a lower bulk lunar Mg# (~0.83). Results also indicate a small iron-like core with a radius around 340 km.

Mayo de 2006
Ignorance is bliss: Or seven reasons not to use uncertainty analysis.
Authors:F. Pappenberger and K. J. Beven.
Link: www.agu.org/pubs/crossref/2006/
2005WR004820.shtml

Abstract
Uncertainty analysis of models has received increasing attention over the last two decades in water resources research. However, a significant part of the community is still reluctant to embrace the estimation of uncertainty in hydrological and hydraulic modeling. In this paper, we summarize and explore seven common arguments: uncertainty analysis is not necessary given physically realistic models; uncertainty analysis

cannot be used in hydrological and hydraulic hypothesis testing; uncertainty (probability) distributions cannot be understood by policy makers and the public; uncertainty analysis cannot be incorporated into the decision-making process; uncertainty analysis is too subjective; uncertainty analysis is too difficult to perform; uncertainty does not really matter in making the final decision. We will argue that none of the arguments against uncertainty analysis rehearsed are, in the end, tenable. Moreover, we suggest that one reason why the application of uncertainty analysis is not normal and expected part of modeling practice is that mature guidance on methods and applications does not exist. The paper concludes with suggesting that a Code of Practice is needed as a way of formalizing such guidance.

Mayo de 2006
Observations of gas flow in porous media using a light transmission technique.
Authors: Laila Parker, Rockie Yarwood et al.
Link: www.agu.org/pubs/crossref/2006/
2005WR004080.shtml

Abstract
A novel technique for quantitative nondestructive study of two-dimensional disposition of gas phase in unsaturated porous media is presented. Carbon dioxide was pumped through a backlit 1 cm thick chamber packed with translucent sand, which was variably saturated with water containing the pH indicator dye methyl red. As the carbon dioxide dissolved in the pore water, lowering the pH and changing the dye color, a

CCD camera captured images of the resultant changes in transmitted light. These digital image files were then processed using a series of calibrated steps to relate light intensity to dye attenuation, dye attenuation to solution pH, and solution pH to aqueous and gaseous carbon dioxide concentration. The final product was a series of false-color images showing the development of the gaseous carbon dioxide plume. Limitations were found that will require further development, including more attention to calibration of dye concentration versus observed transmission and investigation of dye solubility across the range of pH values employed. With refinement, this technique may prove to be a useful tool in studying the complexities of gas phase transport in variably saturated porous media.

Mayo de 2006
Genetic algorithms for the design of looped irrigation water distribution networks
Authors: Juan Reca and Juan Martínez.
Link: www.agu.org/pubs/crossref/2006/
2005WR004383.shtml

Abstract
A new computer model called Genetic Algorithm Pipe Network Optimization Model (GENOME) has been developed with the aim of optimizing the design of new looped irrigation water distribution networks. The model is based on a genetic algorithm method, although relevant modifications and improvements have been implemented to adapt the model to this specific problem. It makes

use of the robust network solver EPANET. The model has been tested and validated by applying it to the least cost optimization of several benchmark networks reported in the literature. The results obtained with GENOME have been compared with those found in previous works, obtaining the same results as the best published in the literature to date. Once the model was validated, the optimization of a real complex irrigation network has been carried out to evaluate the potential of the genetic algorithm for the optimal design of large-scale networks. Although satisfactory results have been obtained, some adjustments would be desirable to improve the performance of genetic algorithms when the complexity of the network requires it.

<< Anterior | Home: www.geofisica.cl | Siguiente >>

geophysics job course geophysics training education geophysics geophysics monitoring geology geophysics borehole geophysics geophysics mining exploration geophysics environmental geophysics geophysics introduction engineering geophysics