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Professor,
Geology
876 Natural Science Complex
North Campus Office: NSC 717
Email: mfs@geology.buffalo.edu
Voice: 645-6800 ext. 3984
Fax: 716-645-3999 |
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Citlaltepetl
(Pico de Orizaba)
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| Publications:
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| Siebe, C., Abrams, M., and Sheridan, M.F., 1993, Major Holocene
block-and-ash fan at the western slope of ice-capped Pico de
Orizaba volcano, México: Implications for future hazards:
Journal of Volcanology and Geothermal Research, 59:1-33. |
| Abstracts:
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Geological Society
of America, Toronto, October 1998
Alteration induced debris flows at Pico de Orizaba, Mexico
HUBBARD, Bernard E., SHERIDAN, Michael F.,
Department of Geology, SUNY at Buffalo, Buffalo, NY 14260
Carrasco-Nunez Gerardo, Instituto de Geologia, UNAM, Mexico,
DF, Mexico
Pico de Orizaba (Citlaltepetl) has a history of multiple
catastrophic collapses (Carrasco-Nunez, 1993). The largest
collapse produced a cohesive debris flow containing clays
and other minerals derived from hydrothermal alteration of
the volcano edifice (Carrasco-Nunez and others, 1993). The
modern edifice exposes zones of hydrothermally altered rock
that we identified using an AVIRIS dataset acquired 26 November
1994. Conversion of the original dataset to the broadband
equivalents of the VNIR and SWIR channels of Landsat TM provides
easy visualization with good resolution. The resulting image
was geometrically corrected, re-projected to a UTM base, and
fit to a DTM constructed from a TIN derived from a similar
topographic base. This multispectral image facilitates their
identification of clay and iron minerals in altered rocks
by their distinct spectral characteristics. The ratio of the
AVIRIS equivalents of TM bands 3/1 have high brightness values
where these minerals are present. This image also displays
outcrops of iron oxide or hydroxide minerals (limonite, hematite,
geothite or jarosite) on several steep slopes around the summit
cone, including the Torrecillas peaks south of the Citlaltepetl
crater and the Espolon de Oro (Sarcofago) peak north of the
Citlaltepetl crater. The ratio of the AVIRIS equivalents of
TM bands 5/7 indicate the presence of clay minerals or alunite
in small linear zones on the eastern sector of the Citlaltepetl
cone. This suggests structural control by a northeast trending
fault or other pre-existing fracture. Exposures of highly
weathered lavas, breccias and volcaniclastic deposits in deeply
incised barrancas on the more humid and tropical eastern valleys
of the proximal zone, also present a hazard for earthquake-induced
debris flows.
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Mexican Geophysical Union, Puerto
Vallarta, October 1999
CARTOGRAFÍA GEOLÓGICA APLICADA A LA EVALUACIÓN
DE PELIGROS VOLCÁNICOS. EL CASO DEL VOLCÁN CITLALTÉPETL
(PICO DE ORIZABA).
Carrasco-Núñez, G.¨1, Hubbard,
B.2, Sheridan, M.2 y Galicia, C.1
1 UNICIT, Canpus UNAM Juriquilla, 76230, Qro. gerardoc@conin.unicit.unam.mx.
2 Dept. Geology SUNY at Buffalo, NY 14260, EUA bhubbard@eng.buffalo.edu;
mfs@eng.buffalo.edu
Una adecuada evaluación de los peligros volcánicos
debe estar basada primordialmente en la reconstrucción
de la historia eruptiva del volcán en estudio, para
lo cual es necesario establecer una estratigrafía detallada
de las diferentes unidades de roca que lo conforman. La presentación
de la información geológica a través
de mapas geológicos convencionales normalmente no es
suficiente para mostrar la naturaleza y potencial eruptivo
de un volcán, ya que muchos de los depósitos
representativos de eventos catastróficos, o son fácilmente
erosionables o bien su tamaño es tan pequeño
que su registro geológico es escaso o nulo, resultando
comúnmente despreciable para fines cartográficos.
Es por ello que, la información cartográfica
geológica debe adecuarse en función de las características
propias del volcán, como son: su estructura, estilo
eruptivo, dimensiones, diversidad y abundancia de las unidades
de roca existentes, escala, etc. Es también importante
considerar la incorporación de mapas de depósitos
representativos de eventos mayores, así como un número
suficiente de columnas estratigráficas representativas
ubicadas alrededor del volcán, con lo cual se podrán
identificar con mayor precisión la magnitud, frecuencia
y posible ciclicidad de los eventos eruptivos que ocurrieron
en el pasado. El empleo de las herramientas modernas en las
que se conjunta un exhaustivo trabajo de campo con la fotogeología
y el procesamiento digital de imágenes de satélite
con los modelos digitales de elevación del terreno,
ha facilitado enormemente el manejo de información
diversa (geología, geoquímica, geomorfología,
demografía, etc.) que permite una visualización
integral del vulcanismo y su potencial amenaza a las áreas
circundantes.
En este trabajo se presentan diversos mapas geológicos
a diferente escala y con diferente detalle cartográfico,
así como mapas individualizados de depósitos
mayores asociados con la actividad eruptiva reciente del volcán
Citlaltépetl, y una serie de columnas estratigráficas
que, junto con la aplicación de modelos de simulación
de diversos procesos volcánicos, han permitido definir
una zonificación preliminar de los peligros volcánicos
para el volcán Citlaltépetl.
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American Geophysical
Union, San Francisco, December 1999
A comparison of two spectral analysis methods for identifying
and mapping hydrothermal alteration zones at Pico de Orizaba
(Citlaltepetl), Mexico.
B.E.Hubbard 1, D.R.Zimbelman 2, J.K.Crowley
3, M.F.Sheridan1, G.Carrasco-Nunez4
1. Department of Geology, State University
of New York at Buffalo, Buffalo, NY, USA
2. G. O. Logic, White Salmon, WA, USA
3. U. S. Geological Survey, Reston, VA,
USA
4. Unidad de Investigacion en Ciencias
de la Tierra, UNAM, Queretaro, Mexico
Pico de Orizaba (Citlaltepetl) has a history of multiple
edifice collapses, the last of which was clearly related to
hydrothermal alteration (Carrasco-Nunez et al., 1993). This
study utilizes Airborne Visible/Infrared Imaging Spectrometer
(AVIRIS) data to map altered rock exposures, first, by using
band-ratio analysis techniques applied to Landsat TM-equivalent
channels generated from the AVIRIS imagery, and second, by
applying a spectral shape-fitting algorithm to the 224-channel
AVIRIS image cube.
The 3/1 ratio of the AVIRIS TM band-equivalents was effective
for enhancing areas enriched in limonite, hematite, geothite
and jarosite. The ratio of the AVIRIS equivalents of TM bands
5/7 produced only marginal results after using several different
contrast enhancements and correcting for path radiance effects.
This was due in part to the similar spectral response of pixels
dominated by dry vegetation in desert grass and subalpine
zones with clay-rich altered rocks at higher elevations. Improved
results were obtained after applying two image processing
techniques: RGB to IHS conversion (Knepper & Raines, 1985)
and Directed Principal Component Analysis (DPCA - Fraser &
Green, 1987), both useful for identifying vegetated pixels
and masking their contributions to the ratio image histograms.
The band-ratio results were validated after calibrating the
original AVIRIS radiance data to scaled apparent reflectance
and removing path radiance and sun-angle effects. The Spectral
Angle Mapper (SAM) algorithm (Kruse et al., 1993) was used
to match the shape of AVIRIS pixel spectra to a known library
of mineral end-members (Clark et al., 1993). SAM mapping of
the hydroxyl-bearing minerals in the SWIR (2.0-2.5 um) produced
the most conclusive results verified by fieldwork, analysis
of AVIRIS spectra, XRD and laboratory reflectance spectra
of representative samples. After masking the effects of clouds,
SAM mapping showed major areas affected by advanced argillic
alteration, with kaolinite/smectite mixtures as the dominant
pixel end-members. This type of alteration covers much of
the south sector of the Citlaltepetl cone, and extends down
to the remains of the Torecillas edifice and the Espolon de
Oro peak (Sarcafago). Alteration on the north sector (most
evident in the illuminated portion of the crater) is masked
by snow and ice fields of the Jamapa Glacier. Additional fieldwork
is needed to determine the extent to which this material represents
in situ rock outcrops, or transported talus from higher elevations.
Pixels dominated by kaolinite, Na-montmorillonite and natroalunite
are restricted to the uppermost part of the summit cone. SAM
mapping of the iron-bearing minerals was less conclusive because
of the marked similarity in reflectance spectra between the
different forms of hematite, geothite and jarosite. However,
the results partly match those areas identified in the band-ratios.
Jarosite- or geothite-bearing rocks appear to be restricted
to the remains of the Torecillas edifice, whereas hematite
dominated pixels appear at all lower elevations in the vicinity
of both Torecillas and Sarcofago.
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Application of a GIS Model for Predicting the Impact of
Medium to Large Debris Flows from Pico de Orizaba (Citlaltepetl),
Mexico.
B.E. Hubbard 1, M.F. Sheridan1, G.
Carrasco-Nunez2, K.M Scott3
1. Department of Geology, State University of New York at
Buffalo, Buffalo, NY, USA
2. Unidad de Investigacion en Ciencias de la Tierra, UNAM,
Queretaro, Mexico
3. Cascades Volcano Observatory, U. S. Geological Survey,
Vancouver, WA, USA
Pico de Orizaba has produced numerous debris flows in the
past. The magnitude and origin of these debris flows vary
from large-scale edifice collapses, the transformation and
remobilization of pyroclastic flows and pyroclastic deposits,
to moderate and small-scale earthquake- and storm-triggered
slope failures. On January 3, 1920 earthquake triggered landslides
occurred in the rugged highlands 30 km northeast of Pico de
Orizaba. These landslides transformed to debris flows along
the Huitzilapan-Pescados drainage. Laboratory analysis of
a sample of this deposit near Barranca Grande, indicates the
composition of a cohesive debris flow with clay-size particles
~ 5 percent of the matrix.
The LAHARZ model of Iverson et al. (1998) was used to constrain
the volume of this debris flow and determine the possible
impact that future events of this magnitude and larger would
have on the more populated drainages to the east and south
of Pico. The model uses statistically derived scaling factors
to plot the cross-sectional and planimetric areas of debris
flows on a DEM. Two criteria were used to constrain the volume
of the 1920 seismogenic event: 1) minimum planimetric area
required to produce a runnout past the Rio Pescados highway
bridge 30 km downstream, and 2) minimum cross-sectional area
to produce hydraulic radii of 40 to 65 m deep, as reported
by Camacho (1922) and Flores (1922). Simulations were made
on a georectified, Defense Mapping Agency DEM with a ~90 m
grid spacing and +- 30 m vertical accuracy. Results of our
best-fit simulations were based on a volume of 4.4 x 107
m3, which resulted in a planimetric area of 2.3
x 107 m2 and a cross-sectional area
of 6.2 x 103 m2. Such a model debris
flow produces a maximum flood wave height of 64 m above the
town of Barranca Grande, which was completely destroyed in
1920.
To evaluate hazards in other areas, debris flow inundation
zones of four magnitudes were simulated along the Jamapa and
Tliapa drainages north and east of Pico. These volumes represent
debris flows equivalent to the Teteltzingo lahar from Pico
(1.8 x 109 m3), Electron mudflow from
Mount Rainier (2.5 x 108 m3), 1920 seismogenic
debris flow (4.4 x 107 m3), and the
1897 Bolum Creek debris flow from Mount Shasta (1.5 x 106
m3). The latter three volumes were also simulated
along the Metlac-,Orizaba-, and Carbonera-Rio Blanco drainage
network to the south of Pico. Terraces associated with these
drainages are compatible with passage of debris flows with
magnitudes in the range of those modeled. The town of Coscomatepec
appears to be mainly at risk from the largest model debris
flows of the order of magnitude of the Teteltzingo lahar.
In contrast, the city of Orizaba is at high risk from all
but the smallest modeled debris flows. This city is located
on the floodplain of the Orizaba river. The hydraulic radius
of the largest model lahar (108 m3)
through downtown Orizaba would be about 46 m. At the same
location, the maximum flood wave height of a debris flow comparable
to the 1920 seismogenic event would be about 16 m.
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