Now showing items 1-6 of 6
On the main components of landscape evolution modelling of river systems
Currently, the use of numerical models for reproducing the evolution of river systems and landscapes is part of the day-by-day research activities of fuvial engineers and geomorphologists. However, despite landscape evolution ...
Tidal modulation of river-flood deposits: How low can you go?
(The Geological Society of America, 2020)
Quantification of the interaction between river discharge and tides is vital to characterize fluvio-deltaic systems, to identify diagnostic elements of tidal signatures in the rock record, and to reconstruct paleogeographies. ...
Numerical modeling of the hydro-morphodynamics of a distributary channel of the Po River Delta (Italy) during the spring 2009 flood event
One-dimensional (1D) numerical models generally provide reliable results when applied to simulate river hydraulics and morphodynamics upstream of the tidal influence, given the predominantly unidirectional flow conditions. ...
Characterization of drilling-related noise and curvelet-based evaluation of seismic-interferometric reflections for imaging of iron-bearing formations in Pilbara,Western Australia
Here we analyse ambient noise (AN) data generated during drilling of exploration boreholes and recorded using a dense array deployed over one of the numerous shallow iron-ore mineralisation targets in the Pilbara region ...
Structure of a diffuse suture between Fennoscandia and Sarmatia in SE Poland based on interpretation of regional reflection seismic profiles supported by unsupervised clustering
The Paleoproterozoic suture between Sarmatia and Fennoscandia (SFS), two major components of the East European Craton, extends SW-ward from Russia through Belarus to SE Poland. The exact character of this suture remains ...
Deriving Planform Morphology and Vegetation Coverage From Remote Sensing to Support River Management Applications
With the increasing availability of big geospatial data (e.g., multi-spectral satellite imagery) and access to platforms that support multi-temporal analyses (e.g., cloud-based computing, Geographical Information Systems, ...