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Earth Science Informatics
Published in: Earth Science Informatics 1/2015

01-03-2015 | Research Article

Appraisal of active deformation from drainage network and faults: inferences from non-linear analysis

Authors: Saima Siddiqui, Mauro Soldati, Doriano Castaldini

Published in: Earth Science Informatics | Issue 1/2015

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Abstract

This investigation reveals the relative susceptibility of the landscape to surface deformation by means of non-linear analysis of drainage network. The geometrical characteristics of the drainage network are quite capable of discriminating the impact of active tectonics. This study uses fractal dimension, lacunarity and succolarity techniques to demarcate numerous zones where the drainage network is tectonically controlled. Rose diagrams are used to compare drainage network orientation with the faults. This investigation is primarily based on the basic concept that the drainage network is subject to linearized and modify from its natural geometrical shape and orientation under the influence of tectonic activity. The areas with similar fractal dimension can be further discriminated by lacunarity and succolarity analysis. A detailed textural investigation of the drainage network (Strahler order ≥2) of Secchia, Panaro and Reno mountain river basins in northern Apennines, Italy is carried out to analyze the linearization, translational invariance and rotation of the stream patterns. The low fractal dimension values of Secchia, Panaro, Reno, Dragone, Dolo and Setta rivers indicate tectonically controlled drainage. The results reveal that the fractal dimension, lineament density and orientation analysis of drainage network and faults is a significant tool to pinpoint areas susceptible to active deformation.
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Metadata
Title
Appraisal of active deformation from drainage network and faults: inferences from non-linear analysis
Authors
Saima Siddiqui
Mauro Soldati
Doriano Castaldini
Publication date
01-03-2015
Publisher
Springer Berlin Heidelberg
Published in
Earth Science Informatics / Issue 1/2015
Print ISSN: 1865-0473
Electronic ISSN: 1865-0481
DOI
https://doi.org/10.1007/s12145-014-0156-4

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