Analyzing Spatial Autocorrelation for the Hypsometric Integral to Discriminate Neotectonics and Lithologies Using DEMs and GIS

Mahmood, Syed Amer; Gloaguen, Richard

doi:10.2747/1548-1603.48.4.541

Cited by 24 publications

(14 citation statements)

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“…Higher values of average slope angle and HI, which in this work are shown in metamorphic units, are related in literature to harder bedrock materials. 43,47 Although granite seems to be more resistant to erosion than metamorphic rocks, except quartzite, the presence of biotite and the coarse grain in studied granites facilitate the erosion processes. Results of drainage density analysis agree with Strahler, 15 who reported similar values of drainage density for both plutonic and metamorphic lithologies.…”

Section: Discussionmentioning

confidence: 94%

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Quantifying the Relationship Between Drainage Networks at Hillslope Scale and Particle Size Distribution at Pedon Scale

2015

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Nowadays, translating information about hydrologic and soil properties and processes across scales has emerged as a major theme in soil science and hydrology, and suitable theories for upscaling or downscaling hydrologic and soil information are being looked forward. The recognition of low-order catchments as self-organized systems suggests the existence of a great amount of links at different scales between their elements. The objective of this work was to research in areas of homogeneous bedrock material, the relationship between the hierarchical structure of the drainage networks at hillslope scale and the heterogeneity of the particle-size distribution at pedon scale. One of the most innovative elements in this work is the choice of the parameters to quantify the organization level of the studied features. The fractal dimension has been selected to measure the hierarchical structure of the drainage networks, while the Balanced Entropy Index (BEI) has been the chosen parameter to quantify the heterogeneity ‡ Corresponding author. 1540007-1Fractals 2015.23. Downloaded from www.worldscientific.com by NANYANG TECHNOLOGICAL UNIVERSITY on 08/24/15. For personal use only.J. Cámara, M.Á. Martín & V. Gómez-Miguel of the particle-size distribution from textural data. These parameters have made it possible to establish quantifiable relationships between two features attached to different steps in the scale range. Results suggest that the bedrock lithology of the landscape constrains the architecture of the drainage networks developed on it and the particle soil distribution resulting in the fragmentation processes.

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Section: Discussionmentioning

confidence: 94%

“…43 Additionally, two properties of the drainage networks of the study sites have been investigated: the drainage density and the highest Strahler's order of the network. 15…”

Section: Brief Geomorphological Descriptionmentioning

confidence: 99%

Quantifying the Relationship Between Drainage Networks at Hillslope Scale and Particle Size Distribution at Pedon Scale

2015

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“…We focus on parameters that have been shown to correlate with tectonic activity, including mean and average slope, hypsometric integral, basin relief ratio, and the basin elongation ratio (Table ), assuming a uniform bedrock lithology, climate, and base‐level history (Lifton & Chase, ; Mahmood & Gloaguen, ; Schumm, ; Strahler, ; Wobus et al, ). Some parameters, such as the hypsometric integral (Strahler, ), have been shown to be scale or catchment‐size dependent (Willgoose & Hancock, ; Hurtrez, Lucazeau, Lavé, & Avouac, ; Mahmood & Gloaguen, ; Rabii et al, ) and sensitive to the catchment bedrock lithology (Hurtrez & Lucazeau, ). Regardless, the hypsometric integral has been shown to correlate with tectonic activity for larger catchments (>1,000 km 2 ), but there is a stronger lithologic influence on smaller scales (<100 km 2 ) (Lifton & Chase, ), similar to the scales of catchments along Crowleys Ridge.…”

Section: Methodsmentioning

confidence: 99%

Evidence for Late Quaternary Deformation Along Crowleys Ridge, New Madrid Seismic Zone

et al. 2020

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The New Madrid seismic zone has been the source of multiple major (M~7.0-7.5) earthquakes in the past 2 ka, yet the surface expression of recent deformation remains ambiguous. Crowleys Ridge, a linear ridge trending north-south for 300+ km through the Mississippi Embayment, has been interpreted as either a fault-bounded uplift or a nontectonic erosional remnant. New and previously published seismic reflection and shallow resistivity data show discontinuities at the ridge margins in Plio-Pleistocene strata, yet the timing of most recent faulting and the lateral extent of these faults remain unknown. To assess Pleistocene-to-recent tectonic activity of Crowleys Ridge, we perform landscape-scale geomorphic analyses, such as relief, slope, hypsometry, and drainage basin shape, on a 10-m digital elevation model (DEM). North-to-south variations in geomorphic indices indicate Pleistocene-to-recent tectonic uplift of the southern ridge. Moreover, mapping on a <1-m lidar-derived DEM reveals scarps on late Pleistocene geomorphic surfaces. The scarps are primarily located along the southern ridge, trend parallel to the ridge margin discontinuously for 0.1-1 km, and vertically offset <56 ka surfaces 0.4 m with up to 6 m of tilting. These landscape-scale patterns and scarps, integrated with discontinuities in the seismic reflection and resistivity data, provide evidence of low-rate (<0.2 mm/year) late Quaternary tectonic activity along the southern segment of Crowleys Ridge. The interpretations agree with recent tectonic models suggesting southern Crowleys Ridge is a compressional step over in a right-lateral fault system within the Reelfoot Rift.

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“…Higher values of average slope angle and HI, which in this work are shown in metamorphic units, are related in literature to harder bedrock materials (Mahmood and Gloaguen, 2011;Montgomery, 2001). Although granite seems to be more resistant to erosion than metamorphic rocks, except quartzite, the presence of biotite and the coarse grain in studied granites facilitate the erosion processes.…”

Section: Discussionmentioning

confidence: 68%

“…The HI values have been calculated by generating the elevation histogram from the 5 m DEM and using the following expression (Eq. 3.1) where Emean is the mean value of the distribution of DEM pixels values of the study site, Emin is the lowest value, and Emax is the highest value (Mahmood and Gloaguen, 2011).…”

Section: Brief Geomorphological Descriptionmentioning

confidence: 99%

Quantifying patterns of complexity controlled by parent material at different spatial scales: from drainage network architecture at landscape scale to soil texture. A hydropedologic research conducted on wine regions of the Douro river basin

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Analyzing Spatial Autocorrelation for the Hypsometric Integral to Discriminate Neotectonics and Lithologies Using DEMs and GIS

Cited by 24 publications

References 50 publications

Quantifying the Relationship Between Drainage Networks at Hillslope Scale and Particle Size Distribution at Pedon Scale

Quantifying the Relationship Between Drainage Networks at Hillslope Scale and Particle Size Distribution at Pedon Scale

Evidence for Late Quaternary Deformation Along Crowleys Ridge, New Madrid Seismic Zone

Quantifying patterns of complexity controlled by parent material at different spatial scales: from drainage network architecture at landscape scale to soil texture. A hydropedologic research conducted on wine regions of the Douro river basin

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