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

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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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  1. Department of Chemical and Geological Sciences, University of Modena and Reggio Emilia, Modena, Italy

    Saima Siddiqui, Mauro Soldati & Doriano Castaldini

  2. Centre for Integrated Mountain Research, University of the Punjab, Lahore, Pakistan

    Saima Siddiqui

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  1. Saima Siddiqui
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  2. Mauro Soldati
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Correspondence to Saima Siddiqui.

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Communicated by: H. A. Babaie

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Siddiqui, S., Soldati, M. & Castaldini, D. Appraisal of active deformation from drainage network and faults: inferences from non-linear analysis. Earth Sci Inform 8, 233–246 (2015). https://doi.org/10.1007/s12145-014-0156-4

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