Jane Groom

ORCID: 0000-0001-6938-483X
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About
Contact & Profiles
Research Areas
  • Soil erosion and sediment transport
  • Hydrology and Sediment Transport Processes
  • Geological formations and processes
  • Remote Sensing and LiDAR Applications
  • Aeolian processes and effects

University of Auckland
2017-2019

Abstract There is a growing consensus that gravel‐bed roughness should be parameterized based on bed‐surface topography, not only sediment size. One benefit the possible identification of various spatial scales surface and evaluation their respective contributions to flow resistance (and also bedload transport). The absence relationships between at different apparent in previous work, which currently limits parameterization from topography application modeling. This study examines use...

10.1002/2016wr020205 article EN Water Resources Research 2017-07-26

Abstract In fluvial research, comparisons of laboratory and field data sets are rare or outdated; therefore, future research would benefit from the integration sets. We use close‐range photogrammetry as a tool to help bridge that interface. Close‐range is technique readily applied in both environments capture submillimetre topographic natural replica surfaces gravel‐bed rivers. Digital Elevation Models (DEMs) difference (DoDs) presented quantitatively assess replicability four surfaces,...

10.1002/rra.3370 article EN River Research and Applications 2018-10-30

Detrending is required to enable robust parameterization of surface roughness by removing large topographic trends from fluvial data. A range detrending methods exist in the literature; however, there limited presentation effect these on output statistics. Here, results non-detrended data compared with flat-surface (e.g., removal bed slope and setup misalignment) moving-window nonlinear undulations) are presented for a wide suite Digital elevation models (DEMs) gravel surfaces obtained field...

10.1061/(asce)hy.1943-7900.0001612 article EN Journal of Hydraulic Engineering 2019-03-27

Remote sensing of gravel-bed patches and resulting high-resolution digital elevation models (DEMs) allow for the identification various spatial scales surface roughness. Thus far, dimensions relating to grain bedform roughness have been determined using semivariograms or equivalent structure/autocorrelation functions. However, it is difficult clearly differentiate separate analysis properties not possible. This study examines use moving-window detrending on gravel-patch DEMs isolating their...

10.1051/e3sconf/20184004005 article EN cc-by E3S Web of Conferences 2018-01-01
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