『Abstract
The regional distribution of arsenic and 20 other elements in
stream-sediment samples in northern Nevada and southeastern Oregon
was studied in order to gain new insights about the geologic framework
and patterns of hydrothermal mineralization in the area. Data
were used from 10,261 samples that were originally collected during
the National Uranium Resource Evaluation (NURE) Hydrogeochemical
and Stream Sediment Reconnaissance (HSSR) program in the 1970s.
The data are available as U.S.
Geological Survey Open-File Report 02-0227.
The data were analyzed using traditional dot maps and interpolation
between data points to construct high-resolution raster images,
which were correlated with geographic and geologic information
using a geographic information system (GIS). Wavelength filters
were also used to deconvolute the geochemical images into various
textural components, in order to study features with dimensions
of a few kilometers to dimensions of hundreds of kilometers.
The distribution of arsenic, antimony, gold, and silver is different
from distributions of the other elements in that they show a distinctive
high background in the southeast part of the area, generally in
areas underlain by the pre-Mesozoic craton. Arsenic is an extremely
mobile element and can be used to delineates structures that served
as conduits for the circulation of metal-bearing fluids. It was
used to delineate large crustal structures and is particularly
good for delineation of the Battle Mountain-Eureka mineral trend
and the Steens lineament, which corresponds to a post-Miocene
fault zone. Arsenic distribution patterns also delineated the
Black Rock structural boundary, northwest of which the basement
apparently consists entirely of Miocene and younger crust.
Arsenic is also useful to locate district-sized hydrothermal
systems and clusters of systems. Most important types of hydrothermal
mineral deposit in the northern Great Basin appear to be strongly
associated with arsenic; this is less so for low-sulfidation epithermal
deposits.
In addition to individual elements, the distribution of factor
scores that resulted from principal component studies of the data
was used. The strongest factor is characterized by Fe, Ti, V,
Cu, Ni, and Zn and is used to map the distribution of distinctive
basalts that are high in Cu, Ni, and Zn and that appear to be
related to the Steens Basalt. The other important factor is related
to hydrothermal precious metal mineralization and is characterized
by Sb, Ag, As, Pb, Au, and Zn. The map of the distribution of
this factor is similar in appearance to the one for arsenic, and
we used wavelength filters to remove regional variations in the
background for this factor score. The resulting residual map shows
a very strong association with the most significant precious metal
deposits and districts in the region. This residual map also shows
a number of areas that are not associated with known mineral deposits,
illustrating the utility of the method as a regional exploration
tool. A number of these prospective areas are distant from known
significant mineral deposits.
The deconvolution of the spatial wavelength structure of geochemical
maps, combined with the use of large regional geochemical data
sets and GIS, permits new possibilities for the use of stream-sediment
geochemistry in the study of large-scale crustal features as well
as the isolation of mineral-district scale anomalies.』
Introduction
Previous studies
Regional studies
Studies within the Great Basin
Date sources
Data quality
Partial versus total analyses
Methods of interpretation
Point-symbol maps
Gridding methods
Smoothing methods
The example of arsenic
Old versus new map
Detecting crustal structures
Regional heat flow
Environmental implications of arsenic distribution
Arsenic and mineral deposits
Principal component analysis
The strongest factor: basalt
The hydrothermal mineralization factor
Summary and conclusions
Acknowledgments
References