Fractal dimension of non‐network space of a catchment basin

[1] Topographically convex regions within a catchment basin represent varied degrees of hill-slopes. The non-network space (M), the characterization of which we address in this letter, is akin to the space that is achieved by subtracting channelized portions contributed due to concave regions from the watershed space (X). This non-network space is similar to non-channelized convex region within a catchment basin. We propose an alternative shape-dependent quantity like fractal dimension to characterize this non-network space. Towards this goal, we decompose the non-network space in two-dimensional discrete space into simple non-overlapping disks (NODs) of various sizes by employing mathematical morphological transformations and certain logical operations. Furthermore, we plot the number of NODs of less than threshold radius against the radius, and compute the shape-dependent fractal dimension of non-network space.

[1]  Charles Omoregie,et al.  Morphometric relations of fractal-skeletal based channel network model , 1998 .

[2]  Andrea Rinaldo,et al.  Optimal Channel Networks - a Framework for the Study of River Basin Morphology , 1993 .

[3]  B. S. Daya Sagar,et al.  Fractal relation of a morphological skeleton , 1996 .

[4]  Vladimir Nikora,et al.  River network fractal geometry and its computer simulation , 1993 .

[5]  D. Turcotte Fractals in geology and geophysics , 2009, Encyclopedia of Complexity and Systems Science.

[6]  R. L. Shreve Infinite Topologically Random Channel Networks , 1967, The Journal of Geology.

[7]  B. S. Daya Sagar,et al.  FRACTAL-SKELETAL BASED CHANNEL NETWORK (F-SCN) IN A TRIANGULAR INITIATOR-BASIN , 2001 .

[8]  Tay Lea Tien,et al.  Allometric power‐law relationships in a Hortonian fractal digital elevation model , 2004 .

[9]  Maritan,et al.  Scaling laws for river networks. , 1996, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[10]  T. Beer,et al.  HORTON'S LAWS AND THE FRACTAL NATURE OF STREAMS , 1993 .

[11]  B. S. Daya Sagar,et al.  Morphological decomposition of sandstone pore–space: fractal power-laws , 2004 .

[12]  I. Rodríguez‐Iturbe,et al.  The fractal nature of river networks , 1988 .

[13]  V. Gupta,et al.  Random self‐similar river networks and derivations of generalized Horton Laws in terms of statistical simple scaling , 2000 .

[14]  G. Matheron Random Sets and Integral Geometry , 1976 .

[15]  Donald L. Turcotte Fractals and Chaos in Geology and Geophysics: Fractal clustering , 1997 .

[16]  A. Rinaldo,et al.  Fractal River Basins: Chance and Self-Organization , 1997 .

[17]  Alessandro Marani,et al.  A Note on Fractal Channel Networks , 1991 .

[18]  B. S. Daya Sagar,et al.  Estimation of fractal dimension through morphological decomposition , 2004 .

[19]  Benoit B. Mandelbrot,et al.  Fractal Geometry of Nature , 1984 .

[20]  D. Montgomery,et al.  Channel Initiation and the Problem of Landscape Scale , 1992, Science.

[21]  A. Howard Theoretical model of optimal drainage networks , 1990 .

[22]  Alessandro Flammini,et al.  Universality Classes of Optimal Channel Networks , 1996, Science.

[23]  F. Holly,et al.  State space model for river temperature prediction , 1993 .

[24]  A. Scheidegger A STOCHASTIC MODEL FOR DRAINAGE PATTERNS INTO AN INTRAMONTANE TREINCH , 1967 .

[25]  Peter Sheridan Dodds,et al.  Packing-limited growth. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[26]  Hideki Takayasu,et al.  Fractals in the Physical Sciences , 1990 .

[27]  D. Montgomery,et al.  Erosion thresholds and land surface morphology , 1992 .

[28]  Peter Sheridan Dodds,et al.  Packing-limited growth of irregular objects. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[29]  S. S. Manna,et al.  Precise determination of the fractal dimensions of Apollonian packing and space-filling bearings , 1991 .