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Title: Geophysical estimation of shallow permafrost distribution and properties in an ice-wedge polygon-dominated Arctic tundra region

Journal Article · · Geophysics

Shallow permafrost distribution and characteristics are important for predicting ecosystem feedbacks to a changing climate over decadal to century timescales because they can drive active layer deepening and land surface deformation, which in turn can significantly affect hydrologic and biogeochemical responses, including greenhouse gas dynamics. As part of the U.S. Department of Energy Next-Generation Ecosystem Experiments- Arctic, we have investigated shallow Arctic permafrost characteristics at a site in Barrow, Alaska, with the objective of improving our understanding of the spatial distribution of shallow permafrost, its associated properties, and its links with landscape microtopography. To meet this objective, we have acquired and integrated a variety of information, including electric resistance tomography data, frequency-domain electromagnetic induction data, laboratory core analysis, petrophysical studies, high-resolution digital surface models, and color mosaics inferred from kite-based landscape imaging. The results of our study provide a comprehensive and high-resolution examination of the distribution and nature of shallow permafrost in the Arctic tundra, including the estimation of ice content, porosity, and salinity. Among other results, porosity in the top 2 m varied between 85% (besides ice wedges) and 40%, and was negatively correlated with fluid salinity. Salinity directly influenced ice and unfrozen water content and indirectly influenced the soil organic matter content. A relatively continuous but depth-variable increase in salinity led to a partially unfrozen saline layer (cryopeg) located below the top of the permafrost. The cryopeg environment could lead to year-round microbial production of greenhouse gases. Results also indicated a covariability between topography and permafrost characteristics including icewedge and salinity distribution. In addition to providing insight about the Arctic ecosystem, through integration of lab-based petrophysical results with field data, this study also quantified the key controls on electric resistivity at this Arctic permafrost site, including salinity, porosity, water content, ice content, soil organic matter content, and lithologic properties.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1563927
Journal Information:
Geophysics, Vol. 81, Issue 1; ISSN 0016-8033
Publisher:
Society of Exploration GeophysicistsCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 52 works
Citation information provided by
Web of Science

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Cited By (10)

Three-Dimensional Electrical Conductivity and Induced Polarization Tomography of a Rock Glacier journal November 2018
Landscape topography structures the soil microbiome in arctic polygonal tundra journal February 2018
Permafrost Degradation and Subsidence Observations during a Controlled Warming Experiment journal July 2018
Glacial seismology journal November 2017
Monitoring changes in unfrozen water content with electrical resistivity surveys in cold continuous permafrost journal August 2018
Quantitative imaging of water, ice and air in permafrost systems through petrophysical joint inversion of seismic refraction and electrical resistivity data journal September 2019
Deep Convolutional Neural Networks for Automated Characterization of Arctic Ice-Wedge Polygons in Very High Spatial Resolution Aerial Imagery journal September 2018
Modeling the spatiotemporal variability in subsurface thermal regimes across a low-relief polygonal tundra landscape journal January 2016
Mapping snow depth within a tundra ecosystem using multiscale observations and Bayesian methods journal January 2017
A distributed temperature profiling method for assessing spatial variability in ground temperatures in a discontinuous permafrost region of Alaska journal January 2019