Abstract
Fractal-skeletal based channel network (F-SCN) model, which describes how the boundary of the basin constrains the channel network evolution, produces a channel network pattern that obeys Horton's laws. The statistical features of this model conform well with real networks. For this F-SCN that depends on general shape of the initiator-basin, generating mechanism and rule, and the nature of skeletonization process, the estimation of fractal dimension (D) is Log RB Log RL. The estimated D, 1.76 is approximated to the observed value, 1.8.
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