Improving mass-wasting inventories by incorporating debris flow topographic signatures
Debris flows are a prevalent and destructive mass-wasting type in many mountainous regions throughout the world, yet the recent identification of a debris flow topographic signature has not been incorporated into landslide inventories. We have detected this signature in a digital elevation model of the mountainous Oconaluftee River basin of the southern Appalachians, USA, where we have conducted mass-wasting inventories. We evaluate the applicability of this topographic signature in debris flow mapping efforts using inventories created by semiautomated classification of topographic derivative and vegetation index maps. Debris flow detection was increased by 12 % when the inventory was limited to the portion of the landscape that exhibits the debris flow topographic signature. The extent of drainages with this topographic signature, which have areas of 6 to 35 km2, is corroborated by analyses of channel form, knickpoint and bedrock distributions, and hypsometry. This mass-wasting inventory technique provides a more focused approach to statistically characterize the land surface, which resulted in increased inventory proficiency across a landscape with an extensive and relatively well-documented debris flow history.
KeywordsLandslide Southern Appalachians Disaster management Supervised classification Landscape evolution Knickpoint
The authors wish to thank the National Park Service staff of the Great Smoky Mountains for their assistance; especially Paul Super, Benjamin Zank, Kris Johnson, Matt Kulp, and Keith Langdon. Field assistance was provided by Jacqueline S. Gronwald. Regional insight and technical guidance was provided by Scott Southworth, Michael Starek, Sean Gallen, Richard Ketelle, and Bill Weatherspoon. Reviews by Mauri McSaveney, Birgit Terhorst, and two anonymous readers greatly improved the manuscript.
- Cruden DM, Varnes DJ (1996) Landslide types and processes. In: Turner AK, Schuster RJ (eds) Landslides: investigation and mitigation. Transportation Research Board, National Research Council, Washington D.C, pp 36–75Google Scholar
- ESRI (2011) ArcGIS Desktop: Release 10. Environmental Systems Research Institute, Redlands, CAGoogle Scholar
- Gallen SF, Wegmann KW, Frankel KL, Hughes S, Lewis RQ, Lyons N, Paris P, Ross K, Bauer JB, Witt AC (2011) Hillslope response to knickpoint migration in the Southern Appalachians: implications for the evolution of post–orogenic landscapes. Earth Surf Process Landforms 36:1254–1267CrossRefGoogle Scholar
- GRASS Development Team (2011) Geographic Resources Analysis Support System (GRASS) Software, Version 6.4.1. Open Source Geospatial Foundation. http://grass.osgeo.org.
- Hack JT (1975) Dynamic equilibrium and landscape evolution. In: Melhorn WL, Flemal RC (eds) Theories of landform development. State University of New York Press, New York, pp 87–102Google Scholar
- Hadley JB, Goldsmith R (1963) Geology of the eastern Great Smoky Mountains, North Carolina and Tennessee. US Geological Survey Professional Paper 349B:1–118Google Scholar
- Hershfield DM (1961) Rainfall frequency atlas of the United States for durations from 30 minutes to 24 hours and return periods from 1 to 100 years. U.S. Department of Commerence Weather Bureau Technical Paper 40.Google Scholar
- Jungers MC, Bierman PR, Matmon A, Nichols K, Larsen J, Finkel R (2009) Tracing hillslope sediment production and transport with in situ and meteoric 10Be. J Geophys Res 114:1–16Google Scholar
- Kochel RC (1990) Humid fans of the Appalachian Mountains. In: Rachocki AH, Church M (eds) Alluvial fans: a field approach. John Wiley & Sons, New York, pp 109–129Google Scholar
- Madden M, Jackson P, Seavey R, Seavey J (2004) Digital vegetation maps for the Great Smoky Mountains National Park final report. Center for Remote Sensing and Mapping Science, Department of Geography, University of Georgia.Google Scholar
- MATLAB (2009) MATLAB version 7.8.0. The MathWorks Inc., Natick, Massachusetts.Google Scholar
- Moine M, Puissant A, Malet J-P (2009) Detection of landslides from aerial and satellite images with a semi-automatic method. Application to the Barcelonnette basin (Alpes-de-Haute-Provence, France). In: Malet JP, Remaitre A, Bogaard T (eds) Landslide processes: from geomorphic mapping to dynamic modeling. CERG, Strasborg, France, pp 63–68Google Scholar
- North Carolina Flood Mapping Project (2011) Floodplain mapping information system lidar data, North Carolina Flood Mapping Project. http://floodmaps.nc.gov. Accessed 12 December 2011.
- Pack RT, Tarboton DG, Goodwin CN (1998) The SINMAP approach to terrain stability mapping. 8th Congress of the International Association of Engineering Geology, Vancouver, British Columbia, Canada 21–25 September 1998Google Scholar
- Pazzaglia FJ, Gardner TW, Merritts DJ (1998) Bedrock fluvial incision and longitudinal profile development over geologic time scales determined by fluvial terraces. Geophysical Monograph-American Geophysical Union 107:207–236Google Scholar
- Seidl M, Dietrich W (1992) The problem of channel erosion into bedrock. Catena Supplement 23:101–101Google Scholar
- Southworth S, Schultz A, Denenny D, Triplett J (2005) Surficial geologic map of the Great Smoky Mountains National Park Region, Tennessee and North Carolina. US Geological Survey Professional Report and Geological Map, scale 1:100,000.Google Scholar
- Stock JD, Dietrich WE (2003) Valley incision by debris flows: evidence of a topographic signature. Water Resour Res 39:1089Google Scholar
- Tarboton DG (1990) The analysis of river basins and channel networks using digital terrain data. Bras RL (Ed), Massachusetts Institute of Technology thesis: http://hdl.handle.net/1721.1/39956.
- Wegmann KW (2006) Digital landslide inventory for the Cowlitz County urban corridor, Washington; version 1.0: Washington Division of Geology and Earth Resource Report of Investigations 35, 24 pp., 14 maps, scale 1:24,000.Google Scholar
- Witt AC (2005) A brief history of debris flow occurrence in the French Broad River Watershed, western North Carolina. NC Geogr 13:58–82Google Scholar
- Wobus CW, Whipple KX, Kirby E, Snyder NP, Johnson J, Spyropolou K, Crosby BT, Sheehan D (2006) Tectonics from topography: procedures, promise, and pitfalls. In: Willett SD, Hovius N, Brandon MT, Fisher DM (eds) Tectonics, climate and landscape evolution: geological society of america special paper 398, Penrose Conference Series., pp 55–57Google Scholar
- Wooten R, Gillon KA, Witt AC, Latham RS, Douglas TJ, Bauer JB, Fuemmeler SJ, Lee LG (2008) Geologic, geomorphic, and meteorological aspects of debris flows triggered by Hurricanes Frances and Ivan during September 2004 in the Southern Appalachian Mountains of Macon County, North Carolina (Southeastern USA). Landslides 5:31–44CrossRefGoogle Scholar