J Shanghai Jiaotong Univ Sci

Journal of Shanghai Jiaotong University(Science) >

2014 , Vol. 19 >Issue 3: 367 - 377

DOI: https://doi.org/10.1007/s12204-014-1511-9

A New Algorithm to Automatically Extract the Drainage Networks and Catchments Based on Triangulation Irregular Network Digital Elevation Model

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  • (1. Department of Hydraulic and Marine Engineering, Zhejiang University, Hangzhou 310058, China; 2. Zhoukou Normal University, Zhoukou 466000, Henan, China)

Online published: 2014-07-15

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Abstract

A new algorithm to automatically extract drainage networks and catchments based on triangulation irregular networks (TINs) digital elevation model (DEM) was developed. The flow direction in this approach is determined by computing the spatial gradient of triangle and triangle edges. Outflow edge was defined by comparing the contribution area that is separated by the steepest descent of the triangle. Local channels were then tracked to build drainage networks. Both triangle edges and facets were considered to construct flow path. The algorithm has been tested in the site for Hawaiian Island of Kaho’olawe, and the results were compared with those calculated by ARCGIS as well as terrain map. The reported algorithm has been proved to be a reliable approach with high efficiency to generate well-connected and coherent drainage networks.

Key words： drainage networks; catchment extraction; flow direction; triangulation irregular network (TIN); digital elevation model (DEM); hydrological model

Cite this article

QU Guo-dong1,2 (屈国栋), SU Dan-yang1* (苏丹阳), LOU Zhang-hua1 (楼章华) . A New Algorithm to Automatically Extract the Drainage Networks and Catchments Based on Triangulation Irregular Network Digital Elevation Model[J]. Journal of Shanghai Jiaotong University(Science), 2014 , 19(3) : 367 -377 . DOI: 10.1007/s12204-014-1511-9

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