Bridging Arctic pathways: integrating hydrology, geomorphology and remote sensing in the North

Dissertation (Ph.D.) University of Alaska Fairbanks, 2015This work presents improved approaches for integrating patterns and processes within hydrology, geomorphology, ecology and permafrost on Arctic landscapes. Emphasis was placed on addressing fundamental interdisciplinary questions using robust, repeatable methods. Water tracks were examined in the foothills of the Brooks Range to ascertain their role within the range of features that transport water in Arctic regions. Classes of water tracks were developed using multiple factor analysis based on their geomorphic, soil and vegetation characteristics. These classes were validated to verify that they were repeatable. Water tracks represented a broad spectrum of patterns and processes primarily driven by surficial geology. This research demonstrated a new approach to better understanding regional hydrological patterns. The locations of the water track classes were mapped using a combination method where intermediate processing of spectral classifications, texture and topography were fed into random forests to identify the water track classes. Overall, the water track classes were best visualized where they were the most discrete from the background landscape in terms of both shape and content. Issues with overlapping and imbalances between water track classes were the biggest challenges. Resolving the spatial locations of different water tracks represents a significant step forward for understanding periglacial landscape dynamics. Leaf area index (LAI) calculations using the gap-method were optimized using normalized difference vegetation index (NDVI) as input for both WorldView-2 and Landsat-7 imagery. The study design used groups to separate the effects of surficial drainage networks and the relative magnitude of change in NDVI over time. LAI values were higher for the WorldView-2 data and for each sensor and group combination the distribution of LAI values was unique. This study indicated that there are tradeoffs between increased spatial resolution and the ability to differentiate landscape features versus the increase in variability when using NDVI for LAI calculations. The application of geophysical methods for permafrost characterization in Arctic road design and engineering was explored for a range of conditions including gravel river bars, burned tussock tundra and ice-wedge polygons. Interpretations were based on a combination of Directcurrent resistivity - electrical resistivity tomography (DCR-ERT), cryostratigraphic information via boreholes and geospatial (aerial photographs & digital elevation models) data. The resistivity data indicated the presence/absence of permafrost; location and depth of massive ground ice; and in some conditions changes in ice content. The placement of the boreholes strongly influenced how geophysical data can be interpreted for permafrost conditions and should be carefully considered during data collection strategies

Modeling discharge using HBV in the Imnavait Basin, North Slope, Alaska

Thesis (M.S.) University of Alaska Fairbanks, 2009"The Arctic fresh water hydrological cycle is dominated by the melting of the seasonal snow cover and scattered precipitation events during the summer months. Predicting and characterizing potential hydrological response is an important component for engineering infrastructure for the appropriate climatic conditions. A semi-distributed Swedish conceptual model, HBV, has been applied to the Imnavait basin, located in the headwaters of the Kuparuk River on the North Slope of Alaska, to examine runoff during spring and summer months. The methodology began by analyzing the long-term climatic records of the Imnavait basin from 1986 to present. Initial calibration work was completed in both spring and summer periods using the Monte Carlo technique; one set from each period was selected and used in the complete version of HBV. The model was recalibrated from 1988 to 2002 and then validated against the 2003 to 2008 time frame. The overall model performance was adequate for engineering purposes, with the best results when the input precipitation was accurate in terms of timing and magnitude. Differences between observed and modeled results included the impact of snow-damming and evaporation during the spring, while convective storms and melting of basal ice in the active layer distorted the summer period"--Leaf iiiAlaska Department of Transportation and Public Facilities, Alaskan Department of Natural Resources, National Science Foundation, Office of Polar Programs (OPP-0335941