session no. 81--booth# 60 mapping and characterizing...
TRANSCRIPT
Abstract
The Butternut Valley in the Appalachian Plateau of upstate New
York hosts a considerable number of alluvial fans abutting the
valley walls and resting at the mouths of several small tributaries
to the Butternut Creek, which is a headwaters drainage to the
Susquehanna River. These fans were deposited during a time
period ranging from deglaciation to ice free conditions. Ice-
contact and post-glacial deposits rest in close contact with each
other. We hypothesize that the distribution of post-glacial fans
varies between valley types in this area. Basically, valleys that
served as outlets for ice streams from the Laurentide ice sheet
(through valleys) experienced active ice conditions, whereas non-
through valleys experienced stagnant ice conditions. In both
cases, exposed upland tributaries delivered sediment into the main
valleys which were still occupied by glaciers. Within non-through
valleys, alluvial fans experienced deposition against or on
stagnant (dead) ice. We propose that fan formation is most
common within non-through valleys as opposed to through-
valleys, due to greater degree of sediment mobility in through
valleys from active ice and increased meltwater.
We present herein new mapping of alluvial fans in a non-through
valley setting. Ice contact fans exhibit toes with sharp or distinct
angles of repose and an uneven undulating appearance from on-
ice deposition. Fans deposited after ice retreat retain a classic fan
semblance marked by a nearly linear profile and radial
distribution pattern. At many tributaries we find a series of fans
which provide a history of deposition during deglaciation. Ice
contact fans are typically higher in elevation than younger fans.
We are beginning to more formally interpret fan distribution and
areal extent using digital topographic data (USGS National
Elevation Data), new LiDAR elevation data for parts of our field
area, and field mapping.
MAPPING AND CHARACTERIZING LATE GLACIAL AND HOLOCENE ALLUVIAL FANS IN UPSTATE
NEW YORKKAKOLEWSKI, Christopher and HASBARGEN, Les, Department of Earth Sciences, SUNY College at Oneonta, Oneonta, NY 13820-4015, [email protected]
Session No. 81--Booth# 60
Recent Advances in
Understanding the
Geomorphology and Quaternary
History of the Appalachian
Region and Adjacent Regions
Sheraton Baltimore City Center:
International ABCDF
Tuesday, 16 March 2010
Geological Society of America Abstracts with Programs, Vol. 42, No. 1, p. 189
Fan Identification Criteria:
Glaciology and Geomorphology:
Summary of Methods and Limitations:
Alluvial Fan Profiles:
Figures 1a and 1b: Map of New York State illustrating the location of the Butternut Valley and the Butternut Valley highlighted in black rectangle.
Figures 2a and 2b: National Elevation Dataset (NED) 1/3 arc second (10 meter resolution) maps of the Butternut Valley highlighting drainage basins (black comb) and alluvial fans (black dots) . Both figures use slope shading, although, figure 2a highlights slopes from 0-3
degrees while figure 2b highlights slopes from 0-10 degrees. Yellow indicates lower slope values while blue indicates higher values. Each setting can help to elucidate fan features.
Figure 3: Digital Raster Graphic (DRG) 1:24,000 scale map (2.438 meter resolution) providing contour and topographic surface details.
Figures 4: National Agricultural Imagery Program (NAIP) image of Wheeler Fans (Kakolewski and Hasbargen, 2009) (one meter
ground sample distance and six meter accuracy) with superimposed GPS points correlating to specific data collection sites.
Figure 5: Line of site profile (Wheeler Fans Fig. 4) highlighting from left to right an abutting
fan surface. The first yellow point represents the current depositional fan surface. The next
point features the intermediate age fan surface. The undulating character of the intermediate
fan suggests deposition on ice. The third point represents a channel below a sharp angle of
repose leading to a third, ice contact, fan surface.
Figure 7: Map outlining alluvial fans and drainage basins. Blue represents drainage basins, red indicates alluvial fans, and green indicates fans abutted
against ice.
Graph 1 and 2: Graph 1 shows that there is a very weak correlation between fan area and basin area in a through valley
setting. Graph 2 however shows a much stronger correlation between fan size and drainage basin size. The correlation can
probably be strengthened by more thorough mapping through LiDAR, especially in non-through valleys, and extrapolating
where fan surfaces would be if they were not affected by floodplains. The power law suggests that there is a stronger
correlation between fan areas and basin areas in non-through valley settings as opposed to through valley settings which can
be a general way to discriminate between in through and non-through valleys.
Table 1: Statistical slope data for the
20 fans mapped in the vicinity of
Butternut Valley
Average slope, degrees1.8
Standard Deviation 0.7
Variance 0.5
Skew 0.1
Max 2.99
Min 0.54
Range 2.45
Occurs at the mouth of a tributary.
Exhibits radial shape.
Average linear slope approximately near 0 and 3 .
Undulating surface indicate on-ice deposition.
Sharp angles of repose along fan margin indicates ice contact
deposition.
Radial shape and smooth linear slope relates to post glacial
deposition.
Fans push trunk stream channel to far side of the valley.
Lithology and stratigraphy.
Alluvial fan area versus the drainage basin area can
distinguish between fans that are part of a through valley or a
non –through valley setting.
Four main tools were used in the identification of alluvial fans in the non and
through valley setting; National Elevation Dataset (NED, 1/3 spacing), Digital
Raster Graphics (DRG 1:24K topographic quadrants), National Agricultural
Imagery Program (NAIP air photos), and field mapping. Each of the three data
sets contributed to the characterization of fan surfaces by elucidating their shape
and areal extent. Slopes were highlighted in the 0 to 3 and 0 to 10 range on
the NED to quickly locate areas of potential fan locations. The DRG 24K map
provided contours which show radial shapes. NAIP images provide a
visualization of vegetation, surface shadows, and color that computer or hand
drawn maps cannot virtually display. We mapped the margins of some alluvial
fans (marked as a distinct contact where fan gravels pinched out over the
modern fine-grained floodplain) with a GPS unit. This was then superimposed
on a map with Globabl Mapper ® software.
Each of these tools are limited by accuracy of available data. NED, DRG,
NAIP, and GPS range between several and many meters of accuracy. The
resolution displayed by these maps decreases as areas of interest are refined to
smaller sizes. LiDAR data sets can be used to improve resolution to a 1 meter
scale, however, LiDAR files are very large and typical computers are often not
powerful enough to handle them. In addition, the extent of LiDAR scans is
limited.
Figure 6: LiDAR map of alluvial fan west of the Butternut Valley – 5m resolution.
Through Valley – A valley in which glaciers passed through with no
identifiable origination point. Through valleys tend to experience
higher runoff and erosion rates and less stagnant ice features.
Non-Through Valley – A valley in which glaciers had a clear
origination point and generally connects to a through valley. These
valleys often exhibit a high degree of stagnant ice features such as
undulated surfaces, kettles, sinks, and well formed alluvial fans that
can exhibit a terraced surface due to direct ice contact formation.
Many glacial features can be recognized from the data sets.
Ridges running along valley walls are often kames while mounds
that run perpendicular to the valley walls can often be moraines or
kame deltas from ice retreat and post-glacial lakes.
Kettles and undulatory surfaces indicate that sediment was
deposited on ice
Linear features running down valley parallel to the walls are eskers
deposited under ice.
Modern floodplains often have oxbow lakes, are very low relief, and
mark boundaries for fans.
New York State maps generated using Google Maps © 2010. All other images created using Global Mapper version 11.01 © 2010. Graphs
and chart created with Microsoft ® Office Excel ® 2007 © 2006. Poster created using Microsoft ® Office PowerPoint ® 2007 © 2006.
LiDAR: