1,720,990 research outputs found
L'UTILIZZO DELLE TECNOLOGIE GIS PER LA RICOSTRUZIONE TRIDIMENSIONALE DI CORPI GEOLOGICI PROFONDI: IL CASO DEL BACINO CARBONIFERO DEL SULCIS (SARDEGNA SUD-ORIENTALE)
No full text
A combination of TIN meshing, geometric extrapolation and linear interpolation for deep ore bodies modelling: case of Sulcis Coal Basin (Sardinia, Italy)
No full textThe realization of any kind of environmental and/or mining project is not possible without a
strong knowledge of the main features of the geological body involved in. Usually the
evaluation of these characteristics is based on reality models built on a limited set of data
deriving from different survey campaigns. Consequently, the decision-making and the
planning processes are based on models that are, obviously, affected by errors. The
seriousness of these errors is closely related to the modeling technique, to the data accuracy,
to the approximations that have been taken to build them and, especially, to the real variability
of the ore body inhomogeneity inside the study domain. Therefore from an engineering point
of view the consequences can be very dangerous especially where, because of the presence
of geological noises elements (i.e. tectonic faults and folds), it is not possible to apply directly
a statistical and/or a geostatistical interpolation technique (because of the limitations of these
techniques) without producing high errors of evaluation (like could happen in the target area
of this study). For this reason, in these cases, the only possible solution is proceeding with a
preliminary analysis of the available data and of the environmental/geological features in
order to define the most appropriate modeling technique to hold the evaluation errors down.
In this paper, exploiting GIS analysis tools, an innovative 3D modeling technique based on a
combined use of TIN meshing, geometric extrapolation and linear interpolation will be
presented and its results on the Sulcis Coal Basin (Sardinia, Italy) will be introduced and
discussed
Kriging Assistant: an innovative and automatic procedure for geostatistical analysis of environmental data
No full textGeostatistical Approach for Operating Speed Modelling on Italian Roads
No full textInjuries are one of the main causes of death according to W.H.O. For this reason the attention of road safety researchers especially regards the study of the relationship between driver and road environment. Several research works show that operating speed is an excellent driver behavior parameter. This article describes a different approach to the classical definition of prediction models for operating speed on horizontal curves. In this paper, the fundamental theories, the applied operating procedures and the first results obtained with the application of Geostatistics are discussed. The mathematical models expressing operating speed in function of horizontal curves characteristics found in International scientific literature, have mainly been built on the basis of Classical Statistics. For this reason, it needs to be pointed out that the interpolative techniques found in Classical Statistics are based upon the use of canonical forms (linear or polynomial regressions) that completely ignore the correlation law between collected data. As such, the determined interpolation stems from the assumption that the data represent a random sample. The models described in this article have instead been created with the geostatistical interpolation technique (i.e. Kriging). This technique allows to obtain the "best" estimates possible because it considers the true correlation law between the measured data. The applied methods are then described along with the results obtained in the field of road safety by applying Geostatistics which, for several years, have been used, with positive results, in all scientific and engineering fields dealing with empirical data analysis and processing
Caratterizzazione e prova di miscele di acqua e carbone e sviluppo di un sistema informativo geografico a supporto della scelta di siti idonei allo stoccaggio di CO2
No full textCaratterizzazione e valutazione della capacità di adsorbimento/desorbimento della CO2 del Carbone “Sulcis”
No full textA GEOSTATISTICAL APPROACH TO PREDICT 'OPERATING SPEED' ALONG HORIZONTAL CURVES ON TWO-LANE HIGHWAYS
No full textInjuries are one of the main causes of death according to W.H.O. For this reason the attention of road safety researchers especially regards the study of the relationship between driver and road environment.
Several research works show that operating speed is an excellent driver behavior parameter. This article describes a different approach to the classical definition of prediction models for operating speed on horizontal curves. In this paper, the fundamental theories, the applied operating procedures and the first results obtained with the application of Geostatistics are discussed. The mathematical models expressing operating speed in function of horizontal curves characteristics found in International scientific literature, have mainly been built on the basis of Classical Statistics. For this reason, it needs to be pointed out that the interpolative techniques found in Classical Statistics are based upon the use of canonical forms (linear or polynomial regressions) that completely ignore the correlation law between collected data. As such, the determined interpolation stems from the assumption that the data represent a random sample.
The models described in this article have instead been created with the geostatistical interpolation technique (i.e. Kriging). This technique allows to obtain the "best" estimates possible because it considers the true correlation law between the measured data.
The applied methods are then described along with the results obtained in the field of road safety by applying Geostatistics which, for several years, have been used, with positive results, in all scientific and engineering fields dealing with empirical data analysis and processing
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