Methodology for Rare Earth Element Determinations of Uranium Oxides by Ion Microprobe

A methodology for the determination of the rare earth elements in uranium oxides by ion microprobe has been set up on a Cameca ims-3f instrument. An uranium oxide reference material from a syn-metamorphic uranium deposit related to albitisation has also been developed for this type of analysis. Applications of the methodology are presented for a series of uranium oxides selected from some major uranium deposit types: from the world's highest grade unconformity-related uranium deposit from the Athabasca Basin (Saskatchewan, Canada; the Shea Creek and the McArthur River examples), a perigranitic vein-type deposit (Pen Ar Ran, Vendée, France) and a volcanic caldera-related deposit (Streltsovkoye, Transbaikalia, Russia). Each type of uranium deposit appears to have a specific REE signature. All REE patterns from the Shea Creek and the McArthur deposits are characterised by bell-shaped patterns centred on Tb-Dy and similar to those already published for uranium oxides from unconformity-related deposits from Australia. Such bell-shaped REE patterns centred on Tb-Dy may therefore be considered as a typical signature of uranium oxides from Mesoproterozoic unconformity-related deposits. A smoother bell shape pattern centred on Eu characterises the syn-metamorphic albitisation related deposit of Mistamisk selected for the reference material. The REE patterns from the Pen Ar Ran deposit show a fractionation from LREE to HREE with anomalously high abundances of Sm, Eu and Gd with respect to the other REEs, similar to the REE patterns of uranium oxides from the volcanic-related deposits of Streltsovkoye.     

Vestan lithologies mapped by the visual and infrared spectrometer on Dawn

We present global lithological maps of the Vestan surface based on Dawn mission's Visible InfraRed (VIR) Spectrometer acquisitions with a spatial sampling of 200 m. The maps confirm the results obtained with the data set acquired by VIR with a spatial sampling of 700 m, that the reflectance spectra of Vesta's surface are dominated by pyroxene absorptions that can be interpreted within the context of the distribution of howardites, eucrites, and diogenites (HEDs). The maps also partially agree with the ground and Hubble Space Telescope observations: they confirm the background surface being an assemblage of howardite or polymict eucrite, as well as the location of a diogenitic‐rich spot; however, there is no evidence of extended olivine‐rich regions in the equatorial latitudes. Diogenite is revealed on the Rheasilvia basin floor, indicating that material of the lower crust/mantle was exposed. VIR also detected diogenites along the scarp of Matronalia Rupes, and the rims of Severina and a nearby, unnamed crater, and as ejecta of Antonia crater. The diogenite distribution is fully consistent with petrological constraints; although the mapped distribution does not provide unambiguous constraints, it favors the hypothesis of a magma ocean.     

Imagery Scale and Type for Natural Hazards Analysis: Classroom Examples Using Forest Fires and Snow Avalanches

Abstract

The type of remotely sensed imagery best suited for natural hazards analysis is largely dependent on the geographic size and discreteness of the hazard in question. Some forms of imagery that are appropriate for analyses of spatially fixed, relatively fine‐scale hazards are inappropriate for use with geographically widespread and transient hazards, and vice versa. In this paper we utilize one study area, Waterton‐Glacier International Peace Park (Canada and USA), and two natural hazard types (snow avalanches and forest fires), to illustrate how these remote sensing principles can be presented to students of natural hazards. We also address the issue of familiarity, or lack thereof, that students have with different images from a variety of platforms.     

An Assessment of Snow Avalanche Paths and Forest Dynamics Using Ikonos Satellite Data

Abstract

Ikonos panchromatic and multispectral satellite data were acquired in October 2000 and August 2002 for a test area along US Highway 2, the southern border of Glacier National Park (GNP), Montana, USA. The research goals were to map snow avalanche paths and to characterize vegetation patterns in selected paths for longitudinal (i.e., source, track, and runout) and transverse (i.e., inner, flanking, outer) zones as part of a study of forest dynamics and nutrient flux from paths into terrestrial and aquatic systems. In some valleys, as much as 50 percent of the area may be covered by snow avalanche paths, and as such, serve as an important carbon source servicing terrestrial and aquatic ecosystems. Snow avalanches move woody debris down‐slope by snapping, tipping, trimming, and excavating branches, limbs, and trees, and by injuring and scaring trees that remain in‐place. Further, snow avalanches alter the vegetation structure on paths through secondary plant succession of disturbed areas. Contrast and edge enhancements, Normalized Difference Vegetation Index (NDVI), and the Tasseled Cap greenness and wetness transformations were used to examine vegetation patterns in selected paths that were affected by high magnitude snow avalanches during the winter of 2001-2002. Using image transects organized in longitudinal patterns in paths and in forests, and transects arranged in transverse patterns across the sampled paths, the Tasseled Cap transforms (and NDVI values) were plotted and assessed. Preliminary results suggest that NDVI patterns are different for paths and forests, and Tasseled Cap greenness and wetness patterns are different for longitudinal and transverse zones that describe the morphology of snow avalanche paths. The differentiation of paths from the background forest and the characterization of paths by morphometric zones through remote sensing has implications for mapping forest disturbances and dynamics over time and for large geographic areas and for modeling nutrient flux in terrestrial and aquatic systems.     

SNOW-AVALANCHE HAZARDS IN GLACIER NATIONAL PARK,MONTANA: METEOROLOGIC AND CLIMATOLOGIC ASPECTS

Hazardous snow avalanches in Glacier National Park, Montana, are associated with a variety of meteorologic conditions: heavy snow; heavy snows followed by a rise in air temperature to above freezing; a rise in air temperature to above freezing, without precipitation; and rain in association with above-freezing air temperatures. Years of major, widespread avalanching may be recognized by examination of historical information and tree-ring data. Avalanche types include slab avalanches, wet snow avalanches, and dry loose snow avalanches. February is the peak avalanche month. Intraannual seasonalities of avalanche trigger mechanisms and type of avalanche are related. The presence of sun crusts in some cases provides unstable stratigraphic planes in the snowpack over which freshly deposited snow may glide. Destructive windblasts also occur in association with some avalanches. Insufficient data from east of the Continental Divide precluded a comparison of avalanche type and trigger mechanisms from the western and eastern portions of Glacier National Park. The general avalanche climate is more similar to that reported from the southern Canadian cordillera than to continental locations such as the mountains of Colorado. [Key words: Snow avalanches; avalanche trigger mechanisms; avalanche types; avalanche seasonality; Glacier National Park, Montana; northern Rocky Mountains; hazard planning.]     

PEDESTRIAN- AND BICYCLE-INDUCED PATH EROSION ON A UNIVERSITY CAMPUS

Soil denudation studies in urban environments are infrequent in the geomorphic literature. Here we describe the amount of soil erosion associated with pedestrian and bicycle pathways on an American university campus. The amount of soil denudation from thirty pedestrian/bicycle paths on the campus of the University of North Carolina was determined by morphometric measurements. Volumes denuded ranged from nearly 20 m³ to <0.2 m³ per site. Highest amounts were located at sites adjacent to a football stadium. Three types of paths were recognized, based on their utilization: paths running adjacent to existing sidewalks; paths cutting across lawns and through shrubbery from one sidewalk to another; and those formed by bicycles in order to avoid going up or down steps.     

Imagining resilience: situating perceptions and emotions about climate change on Kamchatka, Russia

Global environmental change shapes places and people through ongoing transformation of ecological, socioeconomic, political, and cultural phenomena. One region construed as highly vulnerable to global environmental change, particularly anthropogenic climate change, is the North. Recent research about human communities in Western arctic and subarctic places revolve around vulnerability to anthropogenic climate change, focusing on loss of the ability to pursue traditional livelihoods, threats to ecosystems sustaining human communities and the need to adapt to new environmental regimes. Fewer studies address Russia and the perceptions and emotions related to climate change. To understand how people of the Russian North engage with climate change, I conducted ethnographic research in two rural and remote communities in subarctic alpine Kamchatka, Russia in 2009–2010. Local narratives about climate change largely reflect climate skepticism, and anthropogenic climate change is rejected as explaining environmental changes because: (1) climate is considered as naturally and cyclically changing, (2) humans are not considered a large enough force to alter natural climate cycles, (3) environmental problems are solvable with technology and (4) there is a lack of knowledge about climate change science. Thus, perceptions and emotions about transformation focus on other realms—socioeconomic, political, cultural—that are perceived as more critical to everyday life in the present and near future. Here, I describe these narratives and place the regional understanding of climate change in greater context to explain resistance to imagining environmental transformations due to climate change.     

Shape,metal abundance,chemistry, and origin of chondrules in the Renazzo (CR) chondrite

Abstract— We used synchrotron X‐ray microtomography to image in 3‐dimensions (3D) eight whole chondrules in a ?1 cm³piece of the Renazzo (CR) chondrite at ?17 μm per volume element (voxel) edge. We report the first volumetric (3D) measurement of metal/silicate ratios in chondrules and quantify indices of chondrule sphericity. Volumetric metal abundances in whole chondrules range from 1 to 37 volume % in 8 measured chondrules and by inspection in tomography data. We show that metal abundances and metal grain locations in individual chondrules cannot be reliably obtained from single random 2D sections. Samples were physically cut to intersect representative chondrules multiple times and to verify 3D data. Detailed 2D chemical analysis combined with 3D data yield highly variable whole‐chondrule Mg/Si ratios with a supra‐chondritic mean value, yet the chemically diverse, independently formed chondrules are mutually complementary in preserving chondritic (solar) Fe/Si ratios in the aggregate CR chondrite. These results are consistent with localized chondrule formation and rapid accretion resulting in chondrule + matrix aggregates (meteorite parent bodies) that preserve the bulk chondritic composition of source regions.     

Post‐Younger Dryas deglaciation of the Greenland western margin as revealed by spatial analysis of lakes

Lake shapes and their spatial distribution are important geomorphological indicators in previously glaciated areas. Their shapes are influenced by the underlying geological structure and processes of glacial sediment deposition or erosion. Since these processes act on large areas, distribution of lakes can reflect the intensity of glacial erosional/depositional processes and their spatial extent. Landsat imagery was used to extract lake outlines from a selected pilot‐study area on the widest ice‐free coastal margin of the south‐western Greenland north of Kangerlussuaq. Analysis included image classification and spatial analysis of lakes with elevation data using geographic information system (GIS) tools. A morphometric index was applied to extract kettle lakes as indicators of a specific glacial process – ice stagnation. Analysis of their spatial distribution helped in the reconstruction of glacial dynamics in formerly glaciated terrain. Our results show that spatial lake distribution combined with elevation analysis can be used to identify zones of glacial erosion and deposition. The highest concentrations of lakes within the study area occupy the elevation range between 164 and 361 m above sea level (a.s.l.). This zone can be identified as an area where intensive glacial erosion took place in the past. The widespread distribution of modeled kettle lake features within the same elevation range and across the study area suggests that the last deglaciation process was accompanied by abandonment of blocks of stagnant ice. This conclusion is supported by surface exposure ages obtained in the same study area and published elsewhere. Copyright © 2009 John Wiley & Sons, Ltd.