March 19, 1998
For more information on these science news and feature story tips, please
contact the public information officer at the end of each item at (703)
292-8070. Editor: Cheryl Dybas
Contents of this News Tip:
By tracing the abundance and distribution of bacteria in an abandoned
mine at Iron Mountain, California, scientists may have found a better
way to predict the potential environmental consequences of mining metal
ores.
A team of scientists funded by the National Science Foundation (NSF)
and affiliated with the University of Wisconsin (UW) at Madison has conducted
the first molecular-level ecological study of naturally-occurring microbes
that mediate some of the most severe pollution events associated with
sulfide mining. The findings could provide the mining industry with a
new predictive technology capable of estimating acid mine drainage from
a given site.
In nature, minerals exposed to oxygen and water form sulfuric acid.
Around mines, an abundance of minerals is exposed to the surface in tailings
and the exposed surfaces of ore bodies. These oxidize naturally. But naturally-occurring
bacteria contribute to the process and like tiny factories, greatly accelerate
the rate of oxidation. The bacteria are now considered to be microorganisms
that control the production rate of acid mine drainage. According to UW
scientist Katrina Edwards, knowing precisely where and under what conditions
the microbes thrive in nature is a powerful new tool in predicting the
effects of sulfide mining. [Cheryl Dybas]
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Two complementary studies indicate successes in NSF's Engineering Research
Centers (ERC) program.
The ERC program has: created long-term collaborations between universities
and industry; created new industry-relevant knowledge at the intersections
of the traditional disciplines; and prepared a new generation of engineering
leaders who are more capable of engaging successfully in team-based, cross-disciplinary
engineering practice, according to the studies.
The program, begun in 1985, currently supports 19 centers. Seven additional
centers have completed their 11-year cycle. The ERC program is a three-way
partnership. Universities receive NSF support to establish the centers,
recruit companies to become partners, provide financial support, then
maintain close ties. NSF's support of $52.5 million is leveraged more
than two-to-one by funds from industry, academe and other agencies.
NSF initiated the studies as a management tool to determine the progress
of the program toward its goals. [Beth Gaston]
For a single summary of the two studies see: http://www.nsf.gov/cgi-bin/getpub?/nsf9840
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Earthquakes along the San Andreas fault northeast of Los Angeles have
occurred more regularly than previously thought. And the next "big one" may
come sooner than supposed, say two geologists who are using their special
knowledge to pinpoint the dates of previously unknown ancient earthquakes.
Using a new method called "lichenometry," William Bull of the University
of Arizona and Mark Brandon of Yale University in New Haven, Connecticut,
looked at numerous rock avalanches and landslides caused by major historic
and prehistoric earthquakes. The study tests the precision of their method
for dating ancient earthquakes, and supports previous lichenometry work
that identified a major unknown quake near Los Angeles that occurred in
1690.
"Earthquakes larger than magnitude 7 commonly generate numerous rock
avalanches over an entire region that can extend quite far from a quake's
epicenter," explains Brandon. "Soon afterward, lichens begin to colonize
the fresh rock surfaces. Because of their predictable growth rate, lichens
make it possible for us to pinpoint within 10 to 20 years when an earthquake
in the last thousand years occurred."
Lichenometry, the scientists maintain, could reveal the seismic history
of earthquake-prone areas, and be used in predicting the chances of future
quakes. [Cheryl Dybas]
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