GSA Annual Meeting in Seattle, Washington, USA - 2017

Paper No. 216-2
Presentation Time: 8:15 AM

VARIABILITY IN SOIL-WATER RETENTION PROPERTIES AND IMPLICATIONS FOR PHYSICS-BASED SIMULATION OF LANDSLIDE EARLY WARNING CRITERIA


THOMAS, Matthew A.1, MIRUS, Benjamin B.2, COLLINS, Brian D.3, LU, Ning4 and GODT, Jonathan W.1, (1)U.S. Geological Survey, Geologic Hazards Science Center, 1711 Illinois Street, Golden, CO 80401, (2)U.S. Geological Survey, Geologic Hazards Sciences Center, 1711 Illinois St., Golden, CO 80401, (3)Landslide Hazards Program, U.S. Geological Survey, 345 Middlefield Road, MS973, Menlo Park, CA 94025, (4)Civil Engineering, Colorado School of Mines, 1500 Illinois St, Golden, CO 80401, matthewthomas@usgs.gov

Landsliding is a persistent hazard to human life and will likely remain so as populations continue to expand into failure-prone terrain. Despite the observed connection between the unsaturated zone and the shallow landslide initiation problem, there is considerable uncertainty in how the approaches used to estimate soil-water retention properties affect slope stability assessment. Further examination of this uncertainty is critical to evaluating the utility of hydrologic modeling as a physics-based tool for shallow landslide prediction and early warning. To examine conditions relevant to shallow landsliding, we employ a numerical model of variably saturated groundwater flow parameterized with an ensemble of texture-, laboratory-, and field-based soil-water retention properties for an extensively monitored landslide-prone site. Simulations of soil-water content (θ), pore-water pressure (uw), and the resultant Factor of Safety (FS) show considerable variability across and within these different parameter estimation techniques. In particular, we demonstrate that variability in soil-water retention properties influences predictions of positive uw coincident with widespread shallow landsliding. We also find that the ensemble of soil-water retention properties imposes an order-of-magnitude and two-fold variability in seasonal and event-scale landslide susceptibility, respectively. Despite reduced FS uncertainty during wet conditions, parameters that control the dry end of the soil-water retention function markedly impact the ability of a hydrologic model to capture θ dynamics observed in the field. These results suggest that neglecting variability in soil-water retention properties could be problematic for objective physics-based simulation of landslide early warning criteria.