Thank you very much for downloading modern applied statistics with s. As you may know, people have search hundreds times for their favorite readings like this modern applied statistics with s, but end up in harmful downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they cope with some harmful virus inside their laptop. modern applied statistics with s is available in our digital library an online access to it is set as public so you can download it instantly. Our digital library saves in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the modern applied statistics with s is universally compatible with any devices to read.

Modern Applied Statistics With S

Stable non-Gaussian random processes , by G. Samorodnitsky and M. S. Taqqu. Pp. 632. £49.50. 1994. ISBN 0-412-05171-0 (Chapman and Hall).

https://pubag.nal.usda.gov/download/10780/pdf

rosetta: a computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions

Hydrologic analyses often involve the evaluation of soil water infiltration, conductivity, storage, and plant-water relationships. To define the hydrologic soil water effects requires estimating soil water characteristics for water potential and hydraulic conductivity using soil variables such as texture, organic matter (OM), and structure. Field or laboratory measurements are difficult, costly, and often impractical for many hydrologic analyses. Statistical correlations between soil texture, soil water potential, and hydraulic conductivity can provide estimates sufficiently accurate for many analyses and decisions. This study developed new soil water characteristic equations from the currently available USDA soil database using only the readily available variables of soil texture and OM. These equations are similar to those previously reported by Saxton et al. but include more variables and application range. They were combined with previously reported relationships for tensions and conductivities and the effects of density, gravel, and salinity to form a comprehensive predictive system of soil water characteristics for agricultural water management and hydrologic analyses. Verification was performed using independent data sets for a wide range of soil textures. The predictive system was programmed for a graphical computerized model to provide easy application and rapid solutions and is available at http://hydrolab.arsusda. gov/soilwater/Index.htm.

/pdf/soil-water-characteristic-estimates-by-texture-and-organic-56ntsbkyo4.pdf

Soil Water Characteristic Estimates by Texture and Organic Matter for Hydrologic Solutions

Terrestrial net primary production (NPP) quantifies the amount of atmospheric carbon fixed by plants and accumulated as biomass. Previous studies have shown that climate constraints were relaxing with increasing temperature and solar radiation, allowing an upward trend in NPP from 1982 through 1999. The past decade (2000 to 2009) has been the warmest since instrumental measurements began, which could imply continued increases in NPP; however, our estimates suggest a reduction in the global NPP of 0.55 petagrams of carbon. Large-scale droughts have reduced regional NPP, and a drying trend in the Southern Hemisphere has decreased NPP in that area, counteracting the increased NPP over the Northern Hemisphere. A continued decline in NPP would not only weaken the terrestrial carbon sink, but it would also intensify future competition between food demand and proposed biofuel production.

Drought-Induced Reduction in Global Terrestrial Net Primary Production from 2000 Through 2009

This research concerns the soil organic matter linked availability of water in forests on dry, sandy soils. Results show that changes in soil organic matter (SOM) storage influences soil water retention, especially at low SOM contents. Further the organic forest floor allows a significant evaporation flux from the forest floor (yearly max. 30% of the evapotranspiration). Sensitivity analyses show that forest transpiration is only indirectly affected by SOM. A change in water retention does hardly change the transpiration but can alter the strategies of water uptake by roots. Global changes can thus indirectly affect the vitality of forests although the effects may vary with soil type.

The Role of Organic Soil Profiles on Water Availability in Forests: Sensitivity Analyses

This presentation will describe the concept of an autonomous, intelligent, rover-based rapid surveying system to identify and map several key lunar resources to optimize their ISRU (In Situ Resource Utilization) extraction potential. Prior to an extraction phase for any target resource, ground-based surveys are needed to provide confirmation of remote observation, to quantify and map their 3-D distribution, and to locate optimal extraction sites (e.g. ore bodies) with precision to maximize their economic benefit. The system will search for and quantify optimal minerals for oxygen production feedstock, water ice, and high glass-content regolith that can be used for building materials. These are targeted because of their utility and because they are, or are likely to be, variable in quantity over spatial scales accessible to a rover (i.e., few km). Oxygen has benefits for life support systems and as an oxidizer for propellants. Water is a key resource for sustainable exploration, with utility for life support, propellants, and other industrial processes. High glass-content regolith has utility as a feedstock for building materials as it readily sinters upon heating into a cohesive matrix more readily than other regolith materials or crystalline basalts. Lunar glasses are also a potential feedstock for oxygen production, as many are rich in iron and titanium oxides that are optimal for oxygen extraction. To accomplish this task, a system of sensors and decision-making algorithms for an autonomous prospecting rover is described. One set of sensors will be located in the wheel tread of the robotic search vehicle providing contact sensor data on regolith composition. Another set of instruments will be housed on the platform of the rover, including VIS-NIR imagers and spectrometers, both for far-field context and near-field characterization of the regolith in the immediate vicinity of the rover. Also included in the sensor suite are a neutron spectrometer, ground-penetrating radar, and an instrumented cone penetrometer for subsurface assessment. Output from these sensors will be evaluated autonomously in real-time by decision-making software to evaluate if any of the targeted resources has been detected, and if so, to quantify their abundance. Algorithms for optimizing the mapping strategy based on target resource abundance and distribution are also included in the autonomous software. This approach emphasizes on-the-fly survey measurements to enable efficient and rapid prospecting of large areas, which will improve the economics of ISRU system approaches. The mature technology will enable autonomous rovers to create in-situ resource maps of lunar or other planetary surfaces, which will facilitate human and robotic exploration.

Autonomous In-Situ Resources Prospector

Understanding Critical Zone Evolution through Predicting the Three-Dimensional Soil Chemical Properties of a Small Forested Catchment

Recent advances in observational and computational techniques have facilitated the
study of fluid dynamics and interfacial geometry in porous media. Within some
experimental limitations, computed tomography X-ray (CMT) and magnetic resonance
imaging (MRI) are now able to accurately map the 3D structure of porous geometries.
Computational advances largely concern Lattice Boltzmann (LB) method that has been
shown to be useful in simulating microscale flow in porous media. With some
phenomenological or thermodynamic extensions, the LB method is also able to deal with
microscale interfacial phenomena in single or multiphase systems.
	The goal of this presentation is to provide insight into what is needed to make a
link between 3D experimental observations of interfacial geometry and LB simulations.
 The experimental data consist of CMT observations several Sotrol-water displacements
 inside a glass bead system with a resolution of 17 microns. Also available are
capillary pressure-saturation curves between 0 and 1kPa. The LB model is that of
Shan-Chen as modified by Martys and Chen (1996). We present the most parsimonious
way to calibrate the surface tension and contact angle in the model, define space,
pressure and time scaling. We will also identify potential problems relating to
pore-size and digitization effects that are present in the simulations, but not in
the original observations. The analyses are partly performed on idealized systems
and finally applied to large scale (107 voxel) simulations of the real physical
systems. Observations are simulations are compared in terms of pressure-saturation
curves, and where possible, in terms of fluid distribution and interfacial curvatures.

/pdf/linking-experimental-capillary-pressure-saturation-data-with-1x4fnly2m0.pdf

Marcel G. Schaap

Papers

The Role of Organic Soil Profiles on Water Availability in Forests: Sensitivity Analyses

Autonomous In-Situ Resources Prospector

Understanding Critical Zone Evolution through Predicting the Three-Dimensional Soil Chemical Properties of a Small Forested Catchment

Linking Experimental Capillary Pressure-Saturation Data with Lattice Boltzmann Simulations.

Quanü taü ve Pore-Scale Invesü gaü ons of Mulü phase Bio/Geo/Chemical Processes