Exploring Predictive Relationships of Fluvial Morphology: Using Shuttle Radar Topography Mission Data
by Hannon, Mark Thomas, M.S., UNIVERSITY OF COLORADO AT BOULDER, 2011, 124 pages; 1499930

Abstract:

To identify general large-scale patterns (slope, slope change, sinuosity) along a river's course the worldwide SRTM 3 arc-second DEM satellite derived data was analyzed. Longitudinal profiles were calculated for sixteen rivers. This analysis uses auxiliary data sets to develop an understanding of the external and internal influences that are pressed upon and inherent within the lower 100 meters of the river systems. Contradictory to previous findings, the sixteen rivers studied here show that slope and sinuosity are not strongly correlated at the reach scale. The total river's longitudinal profile up to 100 meters, provides an average slope and sinuosity throughout the entire system and increases the correlation between slope and sinuosity (∼0.56). Comparing the entire river's longitudinal profiles also illustrates a threshold of planform sinuosity (>1.6) in which meandering rivers are found. Using this threshold, the Indus, Mississippi, and Fly Rivers are further examined to understand lateral migration rates, the link between meandering rivers and the production of oxbow lakes throughout their floodplain. The slope of three rivers was examined for external controls by overlaying geological data of bedrock type and fault locations. Neotectonics appears to impact the slope and/or sinuosity of the Mississippi, Niger, and Magdalena rivers. Results indicate growth faulting found in the mud-dominated systems of the Mississippi and Niger influences sinuosity. The resulting sinuosity is greatest in regions where these rivers are bound by growth faults. The Magdalena has several regions where the river intersects strike-slip faults, resulting in increased slopes with the more parallel the encounter. River longitudinal profiles can also reveal areas of bedload erosion and deposition. Zones of erosion (sources) and deposition (sinks), and knowing how to locate them, are of great interest to a variety of geoscientists. These predictive relationships will provide future assistance to the field of fluvial morphology.

 
AdviserJames P.M. Syvitski
SchoolUNIVERSITY OF COLORADO AT BOULDER
SourceMAI/ 50-02, p. , Oct 2011
Source TypeThesis
SubjectsGeographic information science and geodesy; Geology; Remote sensing
Publication Number1499930
Adobe PDF Access the complete dissertation:
 

» Find an electronic copy at your library.
  Use the link below to access a full citation record of this graduate work:
  http://gateway.proquest.com/openurl%3furl_ver=Z39.88-2004%26res_dat=xri:pqdiss%26rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation%26rft_dat=xri:pqdiss:1499930
  If your library subscribes to the ProQuest Dissertations & Theses (PQDT) database, you may be entitled to a free electronic version of this graduate work. If not, you will have the option to purchase one, and access a 24 page preview for free (if available).

About ProQuest Dissertations & Theses
With over 2.3 million records, the ProQuest Dissertations & Theses (PQDT) database is the most comprehensive collection of dissertations and theses in the world. It is the database of record for graduate research.

The database includes citations of graduate works ranging from the first U.S. dissertation, accepted in 1861, to those accepted as recently as last semester. Of the 2.3 million graduate works included in the database, ProQuest offers more than 1.9 million in full text formats. Of those, over 860,000 are available in PDF format. More than 60,000 dissertations and theses are added to the database each year.

If you have questions, please feel free to visit the ProQuest Web site - http://www.proquest.com - or call ProQuest Hotline Customer Support at 1-800-521-3042.