Showing papers in "Computers & Geosciences in 2010"

TL;DR: A scale-invariant concept to quantify complex structures based on a limited set of meaningful morphological functions based on d+1 Minkowski functionals as defined for d-dimensional bodies is presented.

TL;DR: A comprehensive software package for two- and three-dimensional stochastic rock fracture simulation using marked point processes and a case study in rock fracture modelling is provided to demonstrate the application of the software.

TL;DR: This study proposes an indirect assessment strategy that shares in the advantages of quantitative and qualitative assessment methods and employs a fuzzy inference system (FIS) to model expert knowledge, and an artificial neural network (ANN) to identify non-linear behavior and generalize historical data to the entire region.

TL;DR: A new R package for designing spatial coverage samples for mapping, and for random sampling from compact geographical strata for estimating spatial means, with the mean squared shortest distance chosen as objective function.

TL;DR: The FC-AFC-FCA and mixing modeler is an interactive program that models the consequent theoretical vectors of FC, AFC, FCA, and mixing processes, which are frequently used in modern petrology.

TL;DR: A new Excel(TM) spreadsheet program is introduced, which calculates the surface profiles of former glaciers using an exact solution of a 'perfectly plastic' glacier model.

TL;DR: The GP is used to forecast sea level variations, three time steps ahead, for a set of time intervals comprising 12h, 24h, 5 day and 10 day time intervals using observed sea levels, and artificial intelligence methodologies perform satisfactorily and may be considered as alternatives to the harmonic analysis.

TL;DR: The GIS-based demarcation of artificial zones developed in this study was based on logical conditions and reasoning, so that the same techniques could be adopted elsewhere, especially in similar aquifer systems in arid areas where the occurrence of groundwater is restricted and subject to a greater complexity.

TL;DR: This paper is concerned with developing a framework for GIS-based multicriteria group decision-making using the fuzzy majority approach and demonstrates the implementation of the framework within the ArcGIS environment.

TL;DR: Support vector machines are explored as an intelligent technique to correlate porosity to well log data and the results reveal that the SVR method exhibits superior accuracy and robustness with respect to these neural network methods especially withrespect to accuracy when generalizing to previously unseen porosity data.

TL;DR: The current version of the open-source risk and loss estimation software SELENA v4.1 is presented, using the spectral displacement-based approach (capacity spectrum method), which analytically computes the degree of damage on specific building typologies as well as the associated economic losses and number of casualties.

TL;DR: This work proposes an automatic and robust technique for threshold selection based on edge detection which uses gradient masks which are defined as regions of interest for the determination of threshold values.

TL;DR: This contribution presents the first GUI and pre-processor, known as Y-GUI, developed for Y2D and the implementation of a new algorithm that allows for the use of heterogeneous materials.

TL;DR: Compressional, shear and Stoneley wave velocities (V"p, V"s andV"s"t, respectively) are important reservoir characteristics that have many applications in petrophysical, geophysical and geomechanical studies.

TL;DR: A comprehensive set of texture features extracted from the experimental semivariogram of specific image objects is proposed and described, and their usefulness for land use classification of high resolution images is evaluated.

TL;DR: The particle swarm optimization (PSO) method was applied to the inversion of single and multiple self-potential (SP) data anomalies caused by buried bodies with simple geometry like spheres, cylinders and inclined sheets and showed good agreement with the previous results obtained using other techniques.

TL;DR: The study reveals that the use of Levenberg-Marquardt algorithm with eight hidden neurons in the hidden layer is sufficient to produce satisfactory results in hydrologic simulation studies.

TL;DR: The use of the Kalman filter is explored to extend the aggregation of spatial multi-criteria evaluation (MCE) and to find optimal solutions with respect to a decision strategy space where a possible decision rule falls.

TL;DR: A finite element modeling technique for double U-tube borehole heat exchangers and the surrounding soil mass is presented, rendering the model suitable for utilization in engineering practice and describing the possible utilization of the model for research works and design optimization.

TL;DR: Four different methods to automatically select an optimal set of array configurations that gives the maximum subsurface resolution with a limited number of measurements for 2D electrical imaging surveys were tested, confirming that the models generated by the CR method have the best resolution.

TL;DR: It is shown how an elastic finite element model can be used to solve restoration problems, by setting displacement boundary conditions on the top horizon and contact boundary Conditions on the fault cut-offs and using an ''implicit'' approach.

TL;DR: FREZCHEM as mentioned in this paper is an equilibrium chemical thermodynamic model parameterized for concentrated electrolyte solutions [up to ~20moles/kg(H"2O) (molality)] using the Pitzer approach for the temperature range from <-70 to 25^oC and the pressure range from 1 to 1000bars.

TL;DR: This study investigated the size and spatial patterning of errors in a large-scale area, by comparing three different interpolation algorithms and ordinary least squares and geographically weighted regression models were used to model the relationship between error and surface characteristics.

TL;DR: An artificial neural network with k-fold cross validation is trained with manually classified mineral samples based on their pixel values to classify 5 different minerals, namely, quartz, muscovite, biotite, chlorite, and opaque.

TL;DR: The widely used CXTFIT code in Excel was implemented to provide flexibility and added sensitivity and uncertainty analysis functions to improve transport parameter estimation and to facilitate model discrimination for multi-tracer experiments on structured soils.

TL;DR: The concept and the computation of terrain representation error (ETR) are investigated and total DEM error is presented as an accuracy index for DEM evaluation at a global level and indicates that, although SMTS is more accurate than the classical interpolation methods, a real-world test indicates that there is a large accuracy loss.

TL;DR: A visualization method to render scalar fields with a probability density function at each data point and makes use of a colour scheme, which intuitively gives the viewer an idea of which parts of the surface are more reliable than others.

TL;DR: This work implements a Web-based Geographic Information System (Web GIS) for an existing oil spill monitoring and forecasting service, developed in the framework of the MARCOAST project, by remotely presenting the results of the oil spill forecasting module via a dedicated Web GIS, which allows authenticated end users to view the simulation results in a geographical context.

TL;DR: The results suggest that the new ANN model could be used as a practical tool for the reliable prediction of SFT in geothermal wells using BHT and shut-in time as input data only.

TL;DR: The approach can not only contribute to the automatic recording of geospatial data provenance, but also provide a more informed understanding of provenance information using Semantic Web technologies.