Fractal dimension estimations of drainage network in the Carpathian–Pannonian system

Dombrádi, Endre; Timár, Gábor; Bada, G.; Cloetingh, S.; Horváth, Frank

doi:10.1016/j.gloplacha.2007.02.011

Cited by 60 publications

(52 citation statements)

References 66 publications

(81 reference statements)

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“…The presented values of the fractal dimension of the drainage networks are clearly lower than those previously reported by Gaudio et al (2006) and Dombradi et al (2007) for areas having similar source rock types to the lithologic units studied here.…”

Section: Fractal Scaling Parameterscontrasting

confidence: 78%

“…After the introduction of fractal geometry in the natural sciences (Mandelbrot, 1983), many researchers have investigated and confirmed the fractal and multifractal behavior of drainage networks (Rodríguez-Iturbe and Rinaldo, 1997;De Bartolo et al, 2000, 2004, 2006. Recent studies of the lithologic controls on the fractal and multifractal parameters of river networks (Gaudio et al, 2006;Dombradi et al, 2007) have analyzed areas, ranging from 100 to 10 000 km 2 , considered as lithologically homogeneous. In other word, the differences in scaling properties of drainage networks are interpreted using a single dominant lithology in each of those networks.…”

Section: Introductionmentioning

confidence: 99%

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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

Gajate¹

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Section: Fractal Scaling Parameterscontrasting

confidence: 78%

Section: Introductionmentioning

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

Gajate¹

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“…DEM resolution influences the extraction of topographic information and fitting results in models other than the SWAT model (Ariza-Villaverde et al, 2013;Dombradi et al, 2007). Callaghan and Mark (1984) adopted the minimum drainage area and Martz and Garbrecht (1998) held that the drainage area threshold value can comprehensively reflect the complicated interactive relation of influencing factors for the development of drainage networks.…”

Section: Discussionmentioning

confidence: 99%

“…The linear direction from the centre of the selected grid to the centre of the grid unit with the largest slope among the nearest 8 grids is defined as the flow direction of the processed grid. The flow direction of a grid is expressed with a feature code (ArizaVillaverde et al, 2013;Dombradi et al, 2007). The effective flow directions are northeast, east, southeast, south, southwest, west, northwest and north, which are expressed respectively with 8 effective feature codes, of 128, 1, 2, 4, 8, 16, 32 and 64 (Fig.…”

Section: Figurementioning

confidence: 99%

Impacts of DEM resolution and area threshold value uncertainty on the drainage network derived using SWAT

Shi

Chen

et al. 2017

WSA

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Many hydrological algorithms have been developed to automatically extract drainage networks from DEM, and the D8 algorithm is widely used worldwide to delineate drainage networks and catchments. The simulation accuracy of the SWAT model depends on characteristics of the watershed, and previous studies of DEM resolution and its impacts on drainage network extraction have not generally considered the effects of resolution and threshold value on uncertainty. In order to assess the influence of different DEM resolutions and drainage threshold values on drainage network extraction using the SWAT model, 10 basic watershed regions in China were chosen as case studies to analyse the relationship between extracted watershed parameters and the threshold value. SRTM DEM data at 3 different resolutions were used in this study, and regression analysis for DEM resolution, threshold value and extraction effects was done. The results show that DEM resolution influences the selected flow accumulation threshold value; the suitable flow accumulation threshold value increases as the DEM resolution increases, and shows greater variability for basins with lower drainage densities. The link between drainage area threshold value and stream network extraction results was also examined, and showed a variation trend of power function y = ax b between the sub-basin counts and threshold value, i.e., the maximum reach length increases while the threshold value increases, and the minimum reach length shows no relation with the threshold value. The stream network extraction resulting from a 250 m DEM resolution and a 50 000 ha threshold value was similar to the real stream network. The drainage network density and the threshold value also shows a trend of power function y = ax b ; the value of b is usually 0.5.

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“…FD is defined as a shape that in some way comprises parts similar to the whole (Guillermo et al, 2004;Dombradi et al, 2007;Gloaguen et al, 2007). The degree of complexity in a drainage network can be reflected by FD because the structure of the feature has characteristics of invariability of scale and self-similarity.…”

Section: Shape Indicesmentioning

confidence: 99%

Relative tectonics and debris flow hazards in the Beijing mountain area from DEM-derived geomorphic indices and drainage analysis

et al. 2016

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The geomorphic setting of the tectonically active area around Beijing is a result of complex interactions involving Yanshan neotectonic movements and processes of erosion and deposition. The Beijing Mountain study area contains the junction of two mountain ranges (the Yanshan Mountains and the Taihang Mountains). Tectonic activity has significantly influenced the drainage system and the geomorphic situation in the area, leading to a high probability of the development of debris flows, which is one of the major abrupt geological disasters in the region. Based on 30-m-resolution ASTER GDEM data, a total of 752 drainage basins were extracted using ArcGIS software. A total of 705 debris flow valleys were visually interpreted from ALOS satellite images and published documents. Seven geomorphic indices were calculated for each basin including the relief amplitude, the hypsometric integral, the stream length gradient, the basin shape indices, the fractal dimension, the asymmetry factor, and the ratio of the valley floor width to the height. These geomorphic indices were divided into five classes and the ratio of the number of the debris flow valleys to the number of the drainage basins for each geomorphic index was computed and analyzed for every class. Average class values of the seven indices were used to derive an index of relative active tectonics (IRAT). The ratio of the number of the debris flow valleys to the number of the drainage basins was computed for every class of IRAT. The degree of probable risk level was then defined from the IRAT classes. Finally, the debris flow hazard was evaluated for each drainage basin based on the combined effect of probable risk level and occurrence frequency of the debris flows. The result showed a good correspondence between IRAT classes and the ratio of the number of the debris flow valleys to the number of the drainage basins. Approximately 65% of the drainage basins with occurred debris flow valleys are at a high risk level, while 43% of the drainage basins without occurred debris flow valleys are at a high risk level. A comparison with results from past studies demonstrated that the accuracy of these findings is greater than 85%, indicating that the basin topography created by rapid tectonic deformations is more favorable for debris flows.

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Fractal dimension estimations of drainage network in the Carpathian–Pannonian system

Cited by 60 publications

References 66 publications

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

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

Impacts of DEM resolution and area threshold value uncertainty on the drainage network derived using SWAT

Relative tectonics and debris flow hazards in the Beijing mountain area from DEM-derived geomorphic indices and drainage analysis

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