T195 Insights into Geological Processes and Hazards Acquired through Recent Technological Advances
Tuesday, 6 November 2012
1:30 PM - 5:30 PM
211AB
LIDAR AND GIS: TOOLS TO AUGMENT LANDSLIDE AND FAULT MAPPING IN METAMORPHIC ROCKS IN THE BLUE RIDGE GEOLOGIC PROVINCE OF WESTERN NORTH CAROLINA
Paper number: T195-6
Program: Technical Sessions
Time: 2:55 PM – 3:10 PM
Authors
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Bart CattanachNorth Carolina Geological Survey, Swannanoa, NC
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G. Nicholas BozdogNorth Carolina Geological Survey, Swannanoa, NC
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Kenneth A. GillonKershaw, SC
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Anne WittCharlottesville, VA
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Thomas J. DouglasMills River, NC
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Stephen J. FuemmelerAppalachian Landslide Consultants, PLLC, Asheville, NC
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Jennifer B. BauerAppalachian Landslide Consultants, Asheville, NC
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Rebecca S. LathamNewport News, VA
Abstract
We used LiDAR DEMs to identify topographic trends and lineaments in two areas where earlier ductile faulting followed by WNW-trending brittle faulting produced deformation fabrics that influence slope stability and probably groundwater flow. As part of the landslide hazard mapping in Watauga County we evaluated a 14km x 0.5km zone of existing and potential rock slope instability. This zone includes WNW-trending topographic features and lineaments where 14 active and past-active rock slides occur along the Linville Falls fault, mainly in rocks of the Grandfather Mountain Window. These WNW-trending features are expressions of a regionally extensive zone of fractures and faults that intersect the Blue Ridge Escarpment in an area of concentrated debris flows that occurred in 1940. In Buncombe County we completed 1:6,000-scale geologic mapping of a 3.5-km2 area to establish a geologic framework to support groundwater studies. Rocks are within the Ashe Metamorphic Suite, a highly deformed, heterogeneous package of metasedimentary and mafic metaigneous rocks. A >100m-wide brittle fault zone was identified by the presence of gouge, breccia and the realignment of older ductile fabrics. Locally the fault is in contact with unconsolidated colluvial(?) deposits. The fault zone trends WNW and is aligned with lineaments identified in LiDAR imagery.