Idealized laboratory experiments reported in the literature have been designed to simulate specific physical and chemical conditions. These laboratory conditions have allowed researchers to control the variables which affect the behavior of contaminants in the subsurface and to identify the mechanisms which are likely to occur in the field. An understanding of the various mechanisms of facilita...

Idealized laboratory experiments reported in the literature have been designed to simulate specific physical and chemical conditions. These laboratory conditions have allowed researchers to control the variables which affect the behavior of contaminants in the subsurface and to identify the mechanisms which are likely to occur in the field. An understanding of the various mechanisms of facilita...

We present a Bayesian framework for reconstruction of subsurface hydraulic properties from nonlinear dynamic flow data by imposing sparsity on the distribution of the solution coefficients in a compression transform domain. Sparse representation of the subsurface flow properties in a compression transform basis lends itself to a natural regularization approach, i.e. sparsity regularization, whi...

The deep marine subsurface is a vast habitat for microbial life where cells may live on geologic timescales. Because DNA in sediments may be preserved on long timescales, ribosomal RNA (rRNA) is suggested to be a proxy for the active fraction of a microbial community in the subsurface. During an investigation of eukaryotic 18S rRNA by amplicon pyrosequencing, unique profiles of Fungi were found...

[1] The spatial distribution of subsurface soil textural properties across the landscape is an important control on the hydrological and ecological function of a watershed. Traditional methods of mapping soils involving subjective assignment of soil boundaries are inadequate for studies requiring a quantitative assessment of the landscape and its subsurface connectivity and storage capacity. Ge...

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Subsurface models are generally built from both subjective interpretation and mathematical interpolation/extrapolation techniques. These models are therefore uncertain, but their uncertainty is rarely expressed in a geological forecast. In this paper, an evaluation method of geological uncertainties related to 3-D subsurface models is proposed and tested on a real case. This method is based on ...

Understanding the spatial and temporal variations of soil moisture is crucial for the land surface processes and their management. Accurate estimation of spatial and temporal variations of soil moisture is important for various hydrological studies also. Recently, remote sensing techniques have been used to estimate soil moisture. Estimation of soil moisture by remote sensing techniques provide...

Idealized laboratory experiments reported in the literature have been designed to simulate specific physical and chemical conditions. These laboratory conditions have allowed researchers to control the variables which affect the behavior of contaminants in the subsurface and to identify the mechanisms which are likely to occur in the field. An understanding of the various mechanisms of facilita...

This paper analyzes the consequences of the microstructural changes in a quenchable steel component subjected to grinding. The model takes into account the coupling of the temperature history and stress field in the grinding, where the temperature field is assessed by Jager’s model and the stress field is analyzed by means of an embossed grid method. The effects of the dislocation density and g...