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Two large-scale glacier detachments occurred at the peaks of the 2013 and 2015 CE melt seasons, releasing a cumulative 24.4–31.3 × 106 m3 of ice and lithic material from Flat Creek glacier, St. Elias Mountains, Alaska. Both events produced highly mobile and destructive flows with runout distances of more than 11 km. Our results suggest that four main factors led to the initial detachment in 2013: abnormally high meltwater input, an easily erodible glacier bed, inefficient subglacial drainage due to a cold-ice tongue, and increased driving stresses stemming from an internal redistribution of ice after 2011. Under a drastically altered stress regime, the stability of the glacier remained sensitive to water inputs thereafter, culminating in a second detachment in 2015. The similarities with two large detachments in the Aru mountains of Tibet suggest that these detachments were caused by a common mechanism, driven by unusually high meltwater inputs. As meltwater production increases with rising temperatures, the possible increase in frequency of glacier detachments has direct implications for risk management in glaciated regions.
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What drives large-scale glacier detachments? Insights from Flat
Creek Glacier, St. Elias Mountains, Alaska
Mylène Jacquemart1, Michael Loso2, Matthias Leopold3, Ethan Welty4, Etienne Berthier5, Jasmine
S. S. Hansen1, John Sykes6, Kristy Tiampo1
1 Department of Geological Sciences & CIRES, University of Colorado, Boulder, CO, 80309, USA
2 Wrangell-St. Elias National Park and Preserve, Copper Center, AK 99573
3 UWA-School of Agriculture and Environment, University of Western Australia, Perth, 6009, Australia
4 INSTAAR, University of Colorado, Boulder, CO, 80309, USA
5 LEGOS, Université de Toulouse, 31400 Toulouse, France
6 Department of Geography, Simon Fraser University, Burnaby, BC V5A 1S6, Canada
ABSTRACT
Two large-scale glacier detachments occurred at the peaks of the 2013 and 2015 melt seasons, releasing a
cumulative 24.4 31.3 x 106 m3 of ice and lithic material from Flat Creek Glacier, St. Elias Mountains,
Alaska. Both events produced highly mobile and destructive flows with runout distances of more than 11
km. Our results suggest that four main factors led to the initial detachment in 2013: Abnormally high
meltwater input, an easily erodible glacier bed, inefficient subglacial drainage due to a cold-ice tongue,
and increased driving stresses stemming from an internal redistribution of ice after 2011. Under a
drastically altered stress regime, the stability of the glacier remained sensitive to water inputs thereafter,
culminating in a second detachment in 2015. The similarities with two large detachments in the Aru
mountains of Tibet suggest that these detachments were caused by a common mechanism, driven by
unusually high meltwater inputs. As meltwater production increases with rising temperatures, the possible
increase in frequency of glacier detachments has direct implications for risk management in glaciated
regions.
INTRODUCTION
Large-scale glacier detachments occur when large portions of valley glaciers’ tongues decouple from the
glacier bed, resulting in catastrophic mass flows (Evans & Delaney, 2015). Recent observations from
around the world including the 2002 detachment of Kolka Glacier (100130 x 106 m3; Haeberli et al.,
2004; Evans et al., 2009), the twin 2016 detachments of the Aru glaciers in Tibet (68 x 106 m3 and 83 x
106 m3, respectively; Kääb et al., 2018), the 2007 detachment of Leñas Glacier in the Argentinian Andes
(4 x 106 m3, Falaschi et al., 2019), and repeated ice detachments from an unnamed glacier in central
China (unknown volume; Paul, 2019) raise the question whether anthropogenic climate change is not
only accelerating glacier retreat, but also introducing a previously unobserved yet catastrophic mechanism
of glacier destruction.
We extend the list above by documenting two large-scale detachments at Flat Creek Glacier,
Alaska, which occurred in 2013 and 2015. Understanding the cause of these hazardous events is critical to
predicting where else they are likely to occur. Although Gilbert et al. (2018) have proposed that the Aru
and Kolka detachments were ultimately caused by a failure of the subglacial till, the climatic and glacial
conditions leading up to these detachments differed significantly (Gilbert et al., 2018, Evans et al., 2009).
In this study, we used data from two field campaigns and a remote sensing analysis to characterize the
geologic, glacial, thermal, and meteorological conditions that led to the Flat Creek detachments. In an
attempt to identify common drivers of glacier detachments, we describe and quantify the Flat Creek
detachments and compare them to those of Aru and Kolka.
STUDY AREA
Prior to the 2013 detachment, informally-named Flat Creek Glacier covered 2.6 km2 (6.5%) of the Flat
Creek watershed (Fig. 1). It occupied a central trough at 2030 2650 m above sea level (asl) on the NNE-
facing headwall. Meltwater from the glacier drains into the White River at 1050 m asl. The glacier lies in
a subarctic climate in the rain shadow of the St. Elias Mountains. Over the last decade, the Chisana
weather station (50 km NW of Flat Creek, at 1012 m asl) recorded a mean annual air temperature of -4.5
°C and a mean annual precipitation of 335 mm. Regional and global maps (Jorgenson et al., 2008;
Gruber, 2012), electrical resistivity tomography, and ground temperature measurements (see methods
suppl.) indicate that permafrost is continuous in the upper part of the valley (above 1800 m asl) and
discontinuous-to-sparse on the alluvial fan (below 1600 m asl). Many glaciers in the area have a history of
surging (Post, 1969), and one glacier adjacent to Flat Creek surged between 2012 and 2015. Crosscutting
upper Flat Creek, the influence of the Totschunda Fault (Schwartz et al., 2012) is apparent in heavily
fractured, thin-bedded silt and sandstones of the Permian Hasen Creek Formation that underlie the
valley’s glaciers. Just downstream, the lithology changes to volcaniclastic sediments of the Nikolai
Greenstone Formation (MacKevett, 1979).
THE FLAT CREEK GLACIER DETACHMENTS
On 2013-08-05, the lowermost 500 m of Flat Creek Glacier (below 2270 m asl) detached and traveled 11
km downstream (Fig. 2). The remaining ice responded rapidly, advancing 3045 m in the days following
the detachment (measured with orthophotos from 2013-08-11 and 2013-09-05) and thinned by up to 28.1
± 0.7 m (Fig. 3). We estimated elevation changes by differencing two digital elevation models (DEMs)
from before and after the detachment (2012-08-26 and 2014-10-12). The total detachment volume was 6.8
± 0.2 x 106 m3 to 11.2 ± 0.7 x 106 m3 (Fig. 3, methods see suppl. data). The lower bound only considers
the elevation difference in the detachment zone. The upper bound further includes the thinning of the
upper glacier as an estimate of the volume that advanced into the detachment zone in response to the
collapse.
Throughout summer 2013 to spring 2015, the remaining glacier advanced and crumbled at the
front, covering the original detachment zone with loose ice. Sometime between 2015-07-18 and 2015-07-
25, this loose ice detached and traveled 10 km down the valley (see suppl. data). On 2015-07-30, another
17.6 ± 0.2 x 106 m3 to 20.1 ± 0.3 x 106 m3 of ice and lithic material detached. This failure reached the
drainage divide at 2650 m asl (Fig. 2 & 3). The resulting mass flow spread debris over 8 km2 of the
alluvial fan, burying 3 km2 of mature forest (at least 4-centuries old; see suppl. data). The angle of the
exposed glacier bed presumably the failure plane was 21° above horizontal.
In both 2013 and 2015, the detached masses transformed into highly-mobile mass flows that
reached the White River (12 km downstream) in minutes and ran an average of 76 m up the back of West
Hill, a prominent bedrock knob adjacent to Flat Creek (Fig. 1). Using runup heights (Iverson et al., 2016;
Prochaska, 2008) and the duration of the detachment-induced quakes recorded at the Barnard Glacier
seismic station (60 km SW of Flat Creek), we derived peak velocities up to 50 m/s and mean velocities
around 30 m/s for both events (see suppl. data). Surveying the detachment deposits in 2018 and 2019, we
found fine-grained lithic material (3040 % clay, see suppl. data) mixed with interstitial ice and rounded
ice blocks. The lithic material was almost exclusively Hasen Creek mudstone from under the glacier.
DETACHMENT DRIVERS
Photographs of the detachment zone acquired with an unmanned aerial vehicle in 2018 show that the thin-
bedded mud and sandstones erode into thick layers of fine-grained, unconsolidated sediment. Despite the
proximity of the Totschunda Fault, we found no seismic triggers for the detachments in the US
Geological Survey (USGS) earthquake record.
One of Flat Creek Glacier’s remarkable features before the first detachment was thick, bulging
ice behind a thin, crevasse-free tongue (Fig. 2). From the length of the shadows cast by the bulge in a
2009-07-13 orthophoto, we constrained the maximum height of the bulge to 70.2 ± 9.4 m (see methods
suppl.). We rule out the possibility that the bulge was caused by a bedrock step because the post-
detachment DEM shows no such feature and it is unlikely that such a feature would have endured
centuries of glacial erosion, yet disintegrate during the detachment (Fig. 3). We found no change in the
horizontal position of the bulge between 2009 and 2011. However, between 2011 and 2013-06-22
(coincident with the surge of the glacier in the adjacent drainage), satellite images show that the bulge
advanced by as much as 100 m (Fig. 2; suppl. data), suggesting that a mass redistribution was underway.
In contrast, the glacier terminus did not advance during this time, supporting our inference of a cold-ice
tongue. The bulge and cold-ice tongue very closely resemble the geometry observed in 1980 on Trapridge
Glacier, 80 km SE (Clarke & Blake, 1991). Englacial temperature measurements on Trapridge Glacier
showed that a thin, cold-ice tongue served as a mechanical dam to temperate ice up-glacier, forming the
bulge. Given the morphological similarities to Trapridge Glacier, a mean annual air temperature of -
12.1°C at the pre-detachment terminus, and continuous permafrost in the headwall, we conclude that Flat
Creek Glacier was polythermal, with a thin cold-ice tongue slowing the advance of thicker, temperate ice
up-glacier.
Based on Flat Creek Glacier’s thermal regime, we infer that subglacial drainage was restricted by
the cold-ice tongue. Glacier marginal-streams and deeply incised supraglacial streams on many of the
region’s small glaciers suggest that this mechanism is common in this area (Irvine-Fynn et al., 2011;
Ryser et al., 2013). Observations from Trapridge suggest that water likely drains through the subglacial
substrate to ice-marginal streams, and we suggest the same was true at Flat Creek Glacier. The limited
efficiency of this drainage mechanism causes water to accumulate if the input rate exceeds the output rate
(Clarke et al., 1984; Clarke & Blake, 1991). To identify where below Flat Creek Glacier water would
have accumulated, we applied a Rho8 flow routing analysis to the 2012-08-26 DEM (Fairfield &
Leymarie, 1991, see methods suppl.). Glacier surface topography is taken as an acceptable catchment-
level proxy for water drainage below the glacier (Igneczi et al., 2018). We find that the area immediately
upstream of the bulge received water from a larger catchment than any other point on the glacier. The
next highest flow concentrations were under the detachment zone. Given this large drainage area and the
crevassed surface of the glacier upstream of the bulge, meltwater likely reached the bed and increased the
subglacial water pressure.
To evaluate the availability of liquid water prior to the detachments, we used a 36-year record of
dynamically-downscaled ERA-Interim temperature and precipitation data available for Alaska at 20 km
resolution (Bieniek et al., 2016; see methods suppl.), bias-corrected with ten years of weather station data
from Chisana. Since both failures happened during peak melt season, we calculated the cumulative
summer water availability for each year by summing rainfall and melt from April through July. Melt was
modeled at an hourly resolution using a degree-day approach with melt factors of 2.7 mm d-1 °C-1 for
snow and 4.87 mm d-1 °C-1 for ice (see methods suppl.; Hock, 2003). At Flat Creek, according to our
model, the cumulative summer water availability preceding the 2013 detachment exceeded the 36-year
mean cumulative summer water availability by 100 615 %, or 3.59 4.77 standard deviations (𝜎),
depending on elevation (Fig. 4). Water availability was lower than average (-0.49 0.03 𝜎) in 2014, but
again exceeded the mean by 0.08 0.91 𝜎 in 2015.
DISCUSSION
The apparent emergence of large-scale glacier detachments (Kääb et al., 2018; Falaschi et al., 2018; Paul,
2019; Jacquemart & Loso, 2019) raises the question of whether these events share common drivers, and
whether these will be exacerbated by current warming.
The 2013 detachment at Flat Creek Glacier coincided with unprecedented water availability
driven by record warm temperatures. Our modeled water availability is supported by Alaska-wide
measurements showing 2013 to be the year with the most negative mass balance since 2003 (Wouters,
2019). Due to the inefficient drainage mechanism identified at Flat Creek, the high melt rates allowed
water to accumulate under the glacier, increasing the water pressure in the subglacial till and weak
bedrock. The ultimate shear strength of subglacial till has been shown to increase linearly with effective
normal stress (Iverson et al., 1998). By reducing the effective pressure, increasing basal water pressure is
therefore likely to have weakened the subglacial till. Indeed, the high clay content of the deposits
indicates that the failure initiated within the glacier’s basal substrate. Meanwhile, the advancing bulge
upstream of the cold-ice tongue contributed to increased driving stresses. When meltwater input peaked in
July 2013, rising subglacial water pressures and increased driving stresses allowed the glacier tongue to
detach about 100 m upstream of the 2009 - 2011 location of the bulge.
In 2015, the geometry of the glacier was dramatically altered and we assume that all remaining
ice was temperate. However, the inverse correlation between water availability and glacier stability, and
the role of the weak basal substrate, continued. No detachment occurred in 2014, when water availability
was below average, while activity resumed with increasing water availability in 2015. The precursory
detachment of the loose ice accumulated in the detachment zone shows how easily the underlying lithic
material failed with increased water availability. Under the remaining glacier, the stability of the till may
have been compromised by two factors following the 2013 detachment: (1) reduction of the effective
normal stress due to thinning of the glacier (though this also reduces driving stresses), and (2) alignment
of clay particles by the glacier advance, an effect that has also been shown to reduce the shear strength of
glacial tills (Iverson, 1998). Combined, these factors likely contributed to the 2015 detachment, and also
highlight that a polythermal regime is not a mandatory prerequisite for a large-scale detachment.
Both the 2013 and 2015 mass flows impacted a large swath of 400 year old forest, indicating that
no event of comparable size has occurred here in the past 4 centuries. This suggests that large-scale
glacier detachments may indeed be a new hazard of our warming world.
A comparison with the Kolka and Aru detachments reveal that conditions at Flat Creek strongly
resemble those at Aru, but not those at Kolka. Kolka Glacier is temperate and the stress regime was likely
altered by an accumulation of debris from a series of ice and rock falls (Haeberli et al., 2004, Evans et al.,
2009). In contrast, the cold-ice margins of the Aru glaciers allowed water to accumulate in the subglacial
till over the 5 6 years preceding the detachments. Simultaneously, increasing flow velocities were
observed on bulging, temperate ice encroaching upon the tongues of both glaciers, increasing driving
stresses (Gilbert et al., 2018). Under this altered stress regime, the accumulation of water decreased the
effective normal stress on the till, inducing failure in 2016, the year with the highest recorded degree-day
sum (Kääb et al., 2018).
In conclusion, insights from this study suggest that remarkably similar glacial and climatic
conditions led to the Flat Creek and Aru detachments. At Flat Creek Glacier, these conditions led to two
detachments which both produced highly destructive mass flows with wide-reaching impacts, luckily
without human casualties or damage to infrastructure. Our work highlights the potential sensitivity of
soft-bedded polythermal glaciers to sudden detachments under warming conditions, and the need to refine
the criteria that distinguish collapse-prone glaciers from others in this broad category. Identifying which
glaciers are mostly likely to detach is critical to risk management in mountain environments.
Fig. 1: Study area: Glacier and alluvial fan changes (orange & purple box) are shown in detail in Fig. 2.
Yellow dots indicate the locations of electrical resistivity tomography surveys, ground temperatures were
measured at ERT-1. Cyan lines are from the Randolph Glacier Inventory 6.0 (RGI Consortium, 2017).
Flat Creek Glacier is labeled FCG. Note that the background image shows the watershed prior to the
detachments (© Planet, 2018).
Fig. 2: Changes of Flat Creek Glacier and the alluvial fan (orange & purple box in Fig. 1). Panel a) Image
from 2013-08-11. The orange star indicates the accumulation point of water based on the flow
accumulation analysis. Panel b) Image from 2015-08-13. All images © Planet
Panel c) Crevasse-free tongue of Flat Creek Glacier and thicker, crevassed ice upstream. Ikonos image
from 2009-07-13. The shadow used to estimate bulge height is indicated with a white arrow. Yellow and
magenta lines are the edge of the bulge in 2009 and 2013, respectively. © Maxar
Fig. 3: Top left: Surface elevation change between 2012-08-26 (AK IfSAR DEM) and 2014-10-12. Top
right: Surface elevation change between 2014-10-12 and 2016-03-13 (both ArcticDEM, Porter et al.,
2018). The inset maps resolve more detail over the detachments (dashed outlines), the black line is the
original glacier outline. Note the ongoing surge of the glacier west of Flat Creek.
Bottom: Longitudinal profiles from 2012, 2014, and 2016. Below the 2013 detachment line, loose ice
(area shaded green) masked the full surface change.
Fig. 4: Total summer (April - July) water availability at Flat Creek depending on elevation and mean
decadal water availability for an elevation of 2100 m asl.
Acknowledgements
We acknowledge a NASA Earth and Space Science Fellowship for M. Jacquemart and funding from the
NPS Inventory and Monitoring Program. E. Berthier acknowledges funding CNES funding. Field work
Pre-detachment total liquid water availability
1980 1985 1990 1995 2000 2005 2010 2015
Year
0
100
200
300
400
500
Water availability (mm)
Elevation (m asl)
2100
2300
2500
2700
decadal mean
was partially funded under NASA IDS award 80NSSC17K0017, as was K. Tiampo. We thank J. Trop, T.
Vaden, P. Claus, and L. Wassink for early field observations. Valuable input was received from A. Kääb,
M. Dokukin, K. Allstadt, D. Farinotti, A. Vieli, W. Haeberli, and G. Wolken. We thank R. Hooke and A.
Gilbert as well as one anonymous reviewer for their valuable comments.
REFERENCES CITED
Clarke, G.K., and Blake, E.W., 1991, Geometric and thermal evolution of a surge-type glacier in its
quiescent state: Trapridge Glacier, Yukon Territory, Canada, 1969 - 89: Journal of Glaciology, v. 37,
p. 158169.
Clarke, G.K.C., Collins, S.G., and Thompson, D.E., 1984, Flow, thermal structure, and subglacial
conditions of a surge- type glacier.: Canadian Journal of Earth Sciences, v. 21, p. 232240,
doi:10.1139/e84-024.
Bieniek, P.A., Bhatt, U.S., Walsh, J.E., Rupp, T.S., Zhang, J., Krieger, J.R., and Lader, R., 2016, Full
access dynamical downscaling of ERA-interim temperature and precipitation for Alaska: Journal of
Applied Meteorology and Climatology, v. 55, p. 635654, doi:10.1175/JAMC-D-15-0153.1.
Evans, S.G., Tutubalina, O. V., Drobyshev, V.N., Chernomorets, S.S., McDougall, S., Petrakov, D.A., and
Hungr, O., 2009, Catastrophic detachment and high-velocity long-runout flow of Kolka Glacier,
Caucasus Mountains, Russia in 2002: Geomorphology, v. 105, p. 314321,
doi:10.1016/j.geomorph.2008.10.008.
Fairfield, J., and Leymarie, P., 1991, Drainage networks from grid digital elevation models: Water
Resources Research, v. 27, p. 709717, doi:10.1109/isie.1999.796880.
Falaschi, D., Kääb, A., Paul, F., Tadono, T., Rivera, J.A., and Lenzano, L., 2018, Brief communication : 4
Mm 3 collapse of a cirque glacier in the Central Andes of Argentina: The Cryosphere Discuss.,
doi:10.5194/tc-2018-201.
Gilbert, A., Leinss, S., Kargel, J., Kääb, A., Gascoin, S., Leonard, G., Berthier, E., Karki, A., and Yao, T.,
2018, Mechanisms leading to the 2016 giant twin glacier collapses, Aru Range, Tibet: Cryosphere,
v. 12, p. 28832900, doi:10.5194/tc-12-2883-2018.
Gruber, S., 2012, Derivation and analysis of a high-resolution estimate of global permafrost zonation:
Cryosphere, v. 6, p. 221233, doi:10.5194/tc-6-221-2012.
Haeberli, W., Huggel, C., Kääb, A., Zgraggen-Oswald, S., Polkvoj, A., Galushkin, I., Zotikov, I., and
Osokin, N., 2004, The Kolka-Karmadon rock/ice slide of 20 September 2002: An extraordinary
event of historical dimensions in North Ossetia, Russian Caucasus: Journal of Glaciology, v. 50, p.
533546, doi:10.3189/172756504781829710.
Hock, R., 2003, Temperature index melt modelling in mountain areas: Journal of Hydrology, v. 282, p.
104115, doi:10.1016/S0022-1694(03)00257-9.
Ignéczi, Á., Sole, A.J., Livingstone, S.J., Ng, F.S.L., and Yang, K., 2018, Greenland Ice Sheet Surface
Topography and Drainage Structure Controlled by the Transfer of Basal Variability: Frontiers in
Earth Science, v. 6, doi:10.3389/feart.2018.00101.
Irvine-Fynn, T.D.L., Hodson, A.J., Moorman, B.J., Vatne, G., and Hubbard, A.L., 2011, Polythermal
Glacier Hydrology: A Review: Reviews of Geophysics, v. 49, p. 137,
doi:10.1029/2010RG000350.1.INTRODUCTION.
Iverson, N.R., Hoover, T.S., and Baker, R.W., 1998, Ring-shear studies of till deformation: Coulomb-
plastic behavior and distributed strain in glacier beds: Journal of Glaciology, v. 44, p. 634642,
doi:10.1017/S0022143000002136.
Iverson, R.M., George, D.L., and Logan, M., 2016, Debris flow runup on vertical barriers and adverse
slopes: Journal of Geophysical Research: Earth Surface, v. 121, p. 23332357,
doi:10.1002/2016JF003933.
Jacquemart, M., and Loso, M., 2019, Catastrophic Glacier Collapse and Debris Flow at Flat Creek,
Wrangell-St. Elias National Park and Preserve: Alaska Park Science, v. 18, p. 4755.
Jorgenson, T., Yoshikawa, K., Kanevskiy, M., Shur, Y., Romanovsky, V., Marchenko, S., and Grosse, G.,
2008, Permafrost Characteristics of Alaska: Proceedings of the Ninth International Conference on
Permafrost, v. 29,
http://permafrost.gi.alaska.edu/sites/default/files/AlaskaPermafrostMap_Front_Dec2008_Jorgenson_
etal_2008.pdf.
Kääb, A. et al., 2018, Massive collapse of two glaciers in western Tibet in 2016 after surge-like
instability: Nature Geoscience, v. 11, p. 114120, doi:10.1038/s41561-017-0039-7.
MacKevett, E.M., Jr., 1978, Geologic map of the McCarthy quadrangle, Alaska: U.S. Geological Survey
Miscellaneous Investigations Series Map I-1032, scale 1:250,000.
Paul, F., 2019, Repeat glacier collapses and surges in the Amnye Machen mountain range, Tibet, triggered
by a developing rock‑slope instability. Remote Sensing.:, doi:10.3390/rs11060708.
Planet Team, 2018, Planet Application Program Interface: In Space for Life on Earth. San Francisco, CA.
https://api.planet.com.
Porter, C. et al., 2018, Arctic DEM:, doi:https://doi.org/10.7910/DVN/OHHUKH.
Post, A., 1969, Distribution of surging glaciers in western North America: Journal of Glaciology, v. 8, p.
229240.
Prochaska, A.B., Santi, P.M., Higgins, J.D., and Cannon, S.H., 2008, A study of methods to estimate
debris flow velocity: Landslides, v. 5, p. 431444, doi:10.1007/s10346-008-0137-0.
RGI Consortium, 2017, Randolph Glacier Inventory A Dataset of Global Glacier Outlines: Version 6.0.:
Ryser, C., Lüthi, M., Blindow, N., Suckro, S., Funk, M., and Bauder, A., 2013, Cold ice in the ablation
zone: Its relation to glacier hydrology and ice water content: Journal of Geophysical Research: Earth
Surface, v. 118, p. 693705, doi:10.1029/2012JF002526.
Schwartz, D.P., Haeussler, P.J., Seitz, G.G., and Dawson, T.E., 2012, Why the 2002 Denali fault rupture
propagated onto the Totschunda fault: Implications for fault branching and seismic hazards: Journal
of Geophysical Research B: Solid Earth, v. 117, p. 125, doi:10.1029/2011JB008918.
Wouters, B., Gardner, A.S., and Moholdt, G., 2019, Global glacier mass loss during the GRACE satellite
mission (2002-2016): Frontiers in Earth Science, v. 7, p. 96, doi:10.3389/FEART.2019.00096.
... The Aru 2016 twin glacier detachments, which killed nine people and hundreds of other animals, likely were triggered by basal failure linked to increasing water pore pressure due to increases in surface melting and rainfall . Other detachment events have been recorded from the Caucasus (Tielidze et al., 2019), the Andes (Falaschi et al., 2019), the Alps (Bodin et al., 2017), Alaska (Jacquemart et al., 2020) and the Pamir . ...
... Previous studies have shown that a soft glacial bed appears to be a common attribute of large low-angle glacier detachments. For example, the failures of the Aru twin glaciers Kääb et al., 2018), Kolka glacier (Evans et al., 2009), Bérard Rock Glacier (Bodin et al., 2017), and Flat Creek glacier (Jacquemart et al., 2020), all involved water acting on soft glacier beds. When the subglacial till is saturated with water, the shear strength can decrease significantly to trigger the failure, as a result of increasing pore water pressure, lubrication, and softening (Evans et al., 2009;Gilbert et al., 2018;Iverson et al., 1998). ...
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The high mountain ecosystem of the Indian Himalayas has frequently been experiencing primary hazards (like earthquakes, avalanches, and landslides). Often, these events are followed by the triggering of secondary hazards (like landslide dams, debris flows, and flooding), thereby posing massive risks to infrastructure and residents in the region. This study was taken up to understand the dynamics of an extraordinary debris flood disaster in the Rishiganga River valley, Chamoli district of Uttarakhand on 7th February 2021. Rapid mass movements (RAMMS)-debris flow software was employed to recreate the entire sequence of the hazard consisting of a rock-ice slide, mass deposition and erosion along the channel, and subsequent debris flood. Forty-nine scenarios were analyzed for accurate calibration of dry-Coulomb type friction coefficient (µ) and viscous-turbulent friction coefficient (ξ). Consequently, the geomorphologic characteristics of the debris flow were validated using high-resolution satellite image interpretation and field photographs. The volume of detached rock-ice mass was estimated to be 26.42 × 106 m3. At the same time, the RAMMS-derived model outputs for velocity, flow depth, and momentum were found in good agreement with the extent and height of actual debris on the ground. The study highlights an urgent need to identify the glaciers with a high risk of ice avalanches in the Indian Himalayas. The presented modeling approach may be applied in dynamic mountain ecosystems to simulate potential flash floods due to avalanches. Moreover, the information reported in this study can be vital input for improving the district-level disaster management plan.
... Namcha Barwa (Peng et al., 2022;Hu et al., 2020;Montgomery et al., 2004;Zhang, 1992) showed high disaster risks in this high mountain region. Based on previous glacier-related disaster studies, some precursors of abnormal glacier dynamics, such as accelerated surface velocity, widening surface crevasse and glacier thickening at the glacier terminus, could be captured prior to glacier collapse using repeated high-resolution remote sensing data (Kä ä b et al., 2018;Jacquemart et al., 2020;An et al., 2022;Shugar et al., 290 2021), thus providing first-order discrimination of glaciers at risk. ...
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The Tibetan Plateau and its surroundings have recently experienced several catastrophic glacier-related disasters. It is of great scientific and practical significance to establish ground-based early warning systems (EWS) to understand the processes and mechanisms of glacial disasters and warn against potential threats to downstream settlements and infrastructure. However, there are few sophisticated EWSs on the Tibetan Plateau. With the support of the Second Tibetan Plateau Scientific Expedition and Research Program, an EWS was developed and implemented in the Sedongpu Valley, southeastern Tibetan Plateau, where repeated river blockages have occurred due to ice/rock collapse debris flow. The EWS collected datasets of optical/thermal videos/photos, geophone waveforms, water levels, and meteorological variables in this sparsely populated zone. It has successfully warned against three ice-rock collapse-debris flow - river blockage chain events and seven small-scale ice-rock collapse-debris flow events. Meanwhile, it was found that the low-cost geophone can effectively indicate the occurrence and magnitude of ice/rock collapses by local thresholds, and water level observation is an efficient way to warn of river blockages. Our observations showed that several factors, such as the volume and location of the collapses and the percentage of ice content involved, influence the velocities of debris flows and the magnitude of river blockages. There are still two possible glaciers in the study area that are at risk of ice collapse. It is worth monitoring their dynamic changes using high-resolution satellite data and the ground-based EWS to safeguard the surrounding hydrological projects and infrastructure in this transboundary region.
... In fact, the snow in the basin melted dramatically in the summer, providing hardly any areas for ice accumulation in rock glaciers under the effects of climate warming [10]. Subsequent glacier thinning and retreat have exposed the steep rock walls below the glacier, separating the glacier from the rock and leading to the formation of fissures [11][12][13]. A powerful 6.9-magnitude earthquake struck near the Sedongpu Basin on 18 November 2017, causing significant ground motion within the basin, which affects the stability of the rock slopes and promotes the occurrence of large ice avalanches [13]. ...
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Drastic climate change has led to glacier retreat in southeastern Tibet, and the increased frequency and magnitude of heavy rainfall and intense snow melting have intensified the risk of ice avalanche-induced debris flows in this region. To prevent and mitigate such hazards, it is important to derive the pre-disaster evolutionary characteristics of glacial debris flows and understand their triggering mechanisms. However, ice avalanche-induced debris flows mostly occur in remote alpine mountainous areas that are hard for humans to reach, which makes it extremely difficult to conduct continuous ground surveys and optical remote sensing monitoring. To this end, synthetic aperture radar (SAR) images were used in this study to detect and analyze the pre-disaster deformation characteristics and spatial evolution in the Sedongpu Basin and to detect changes in the snowmelt in the basin in order to improve our understanding of the triggering mechanism of the ice avalanche-induced debris flows in this region. The results revealed that the maximum average deformation rate in the basin reached 57.3 mm/year during the monitoring period from January 2016 to October 2018. The deformation displacement in the gully where the ice avalanche source area was located was intimately correlated with the summer snowmelt and rainfall and was characterized by seasonal accumulation. Clear acceleration of the deformation was detected after both the most recent earthquake and the strong rainfall and snowmelt processes in the summer of 2018. This suggests that earthquakes, snowmelt, and rainfall were significant triggers of the Sedongpu ice avalanche-induced debris flows. The results of this study provide new insights into the genesis of the Sedongpu ice avalanche-induced debris flows, which could assist in disaster warning and prevention in alpine mountain regions.
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Glacier-related geohazards threaten societies in mountain regions. Massive rock-ice avalanches/rockslides/glacier debris flows frequently occurred and triggered secondary geohazard chains in the Yarlung Zangbo River downstream, which pose a serious threat to nearly residents and engineering facilities and can be linked to climate change as glaciers generally retreated after 2000. This paper provides an interdisciplinary and insight analysis for geohazard modes, monitoring and evolutions, deposits features and dynamic process of glacier geohazards by combining satellite images, field investigation, InSAR, UAVs, and simulation. It is revealed that more and more ice crevasses of various size, which may expand and further decrease the integrity of rock mass due to meltwater, earthquakes, and rainfall infiltration, appear on avalanche sources through cases analysis. The temperature rise accelerates glacier retreat and results in glacier movement. Hereafter, the slope gradually becomes unstable and starts to fail. It also analyzes historic events and long-runout process of rock-ice avalanches in the Sedongpu gully. Geomorphology plays an important role in high mobility and volume amplification, such as terrain gradient, valley twist, and moraines. The volume amplification is not only connected with the substrate entrainment, but also the riverbanks failure. This work mainly provides a scientific basis for disaster risk assessment and government policy formulation in this region.
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Glaciers outside of the ice sheets are known to be important contributors to sea level rise. In this work, we provide an overview of changes in the mass of the world's glaciers, excluding those in Greenland and Antarctica, between 2002 and 2016, based on satellite gravimetry observations of the Gravity Recovery and Climate Experiment (GRACE). Glaciers lost mass at a rate of 199 ± 32 Gt yr−1 during this 14-yr period, equivalent to a cumulative sea level contribution of 8 mm. We present annual mass balances for 17 glacier regions, that show a qualitatively good agreement with published estimates from in situ observations. We find that annual mass balance varies considerably from year to year, which can in part be attributed to changes in the large-scale circulation of the atmosphere. These variations, combined with the relatively short observational record, hamper the detection of acceleration of glacier mass loss. Our study highlights the need for continued observations of the Earth's glacierized regions.
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A ring-shear device was used to study the factors that control the ultimate(steady) strength of till at high shear strains.Tests at a steady strain rate and at different stresses normal to the shearing direction yielded ultimate friction angles of 26.3° and 18.6° for tills containing 4% and 30% clay-sized particles, respectively Other tests at steady normal stresses and variable shear-strain rates indicated a tendency for both tills to weaken slightly with increasing strain rate. This weakening may be due to small increases in till porosity. These results provide no evidence of viscous behavior and suggest that a Coulomb-plastic idealization is reasonable for till deformation. However, viscous behavior has often been suggested on the basis of distributed shear strain observed in subglacial till. We hypothesize that deformation may become distributed in till that is deformed cyclically in response to fluctuations in basal water pressure. During a deformation event, transient dilation of discrete shear zones should cause a reduction in internal pore-water pressure that should strengthen these zones relative to the surrounding till, a process called dilatant hardening. Consequent changes in shear-zone position, when integrated over time, may yield the observed distributed strain.
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In western North America 204 surging glaciers have been identified by aerial photographic observations. These glaciers exhibit either intense crevassing and rapid ice displacements during surges or distinctive surface features which have resulted from past surges. Distribution of these unusual glaciers is not random throughout the glacierized areas, as they occur only in the Alaska Range, eastern Wrangell Mountains, eastern Chugach Mountains, Icefield Ranges, and the St Elias Mountains near Yakutat and Glacier Bay. No surging glaciers have been identified in the Brooks Range, Kenai Mountains, west and central Chugach Mountains, west and central Wrangell Mountains, Coast Mountains, Rocky Mountains, Cascade Range, Olympic Mountains, or Sierra Nevada. No definite reason for this restricted distribution is apparent. Surging glaciers are found in maritime to continental and temperate to subpolar environments. Practically all physical forms of glaciers are represented. The restricted distribution does not relate to topography, bedrock type, altitude, orientation, or size of glacier. Some surging glaciers are associated with fault-related valleys, but neither recent faulting nor earthquakes have initiated surge activity. Possible causes for the limited distribution of surges are unusual bedrock roughness or permeability in certain areas, anomalously high ground-water temperatures, and/or abnormal geothermal heat flow.