Field and Laboratory Hydraulic Characterization of Landslide‐Prone Soils in the Oregon Coast Range and Implications for Hydrologic Simulation. Issue 1 (30th August 2018)

• Record Type: Journal Article
• Authors: Ebel, Brian A.; Godt, Jonathan W.; Lu, Ning; Coe, Jeffrey A.; Smith, Joel B.; Baum, Rex L.
• Is Part Of: Vadose zone journal. Volume 17:Issue 1(2018)
• Page Start: 1
• Page End: 15
• Publication Date: 2018-08-30
• Subjects: Soil science -- Periodicals; Zone of aeration -- Periodicals; Groundwater flow -- Periodicals; Groundwater flow; Zone of aeration; Periodicals; Electronic journals; 631.4
• DOI: 10.2136/vzj2018.04.0078
• Languages: English
• ISSNs: 1539-1663

Abstract

Abstract : Core Ideas: Laboratory hydraulic parameters differ substantially from values estimated from field data. Hydraulic parameters determined in the laboratory overestimate hysteresis magnitude. Field data‐based model parameterizations may simulate landslide initiation more accurately. Unsaturated zone flow processes are an important focus of landslide hazard estimation. Differences in soil hydraulic behavior between wetting and drying conditions (i.e., hydraulic hysteresis) may be important in landslide triggering. Hydraulic hysteresis can complicate soil hydraulic parameter estimates and impact prediction capability. This investigation focused on hydraulic property estimation for soil in a landslide‐prone area where the relative importance of hysteresis is unclear. Laboratory measurements of soil‐water retention from field soils in the Oregon Coast Range during wetting and drying show that pronounced hydraulic hysteresis is present. In contrast, a 4‐yr field data record of pore‐water pressure and soil‐water content from multiple soil pits at the same landslide‐prone area shows relatively minor hydraulic hysteresis compared with the laboratory estimates. Simulated subsurface hydrologic response parameterized using estimates from field data more closely matched hydrologic observations relative to model parameterization based on laboratory analysis of repacked soil samples. Our results suggest that (i) unsaturated hydraulic parameter estimates based on in situ field data, as opposed to laboratory measurements alone, may lead to more accurate simulation of the hydrologic response to rainfall, (ii) in situ data of soil‐water retention may need to include values at both high suctions and near saturation to improve estimates of soil hydraulic parameters for slope failure applications, and (iii) laboratory measurements of soil‐water retention made under dynamic conditions may overestimate hydraulic hysteresis.