Parameters Optimization in Extracting Digital Drainage Networks with DEM

  • 1. College of Geography, Fujian Normal University, Fuzhou 350007, China|2. Fujian Provincial Engineering Research Center for Monitoring and Assessing Terrestrial Disasters, Fuzhou 350007, China

Received date: 2010-03-22

  Revised date: 2010-07-05

  Online published: 2011-02-25


Digital Elevation Model (DEM) is the main data source for digital drainage network extraction. But the extracted result would have great subjectivity because of the scale influences by the parameters such as the drainage area threshold and DEM resolution. Therefore, it is of great significance that how to optimize these factors for extracting the drainage networks better. The existing researches are mainly concerned on any two factors qualitatively or quantitatively. It is yet to be answered about how to define the drainage area threshold and the spatial resolution in a given research area. Taking Xiamen City of Fujian Province as the study area and using the Digital Line Graphic (DLG) on the scale of 1:10 000 as the original data to construct the DEM with grid cell size of 2.5m, we re-sampled the DEM into a series of DEMs with nested grid size as 5m, 10m, 20m, 40m, 80m, 160m and 320m using the Nearest Re-sampling method. And then the D8 algorithm and the Hydrology module in ArcGIS software was employed to extract the drainage networks from each DEM mentioned above with 7 drainage area thresholds as 0.9km2, 2.7km2, 4.5km2, 7.2km2, 9km2, 13.5km2 and 18km2. Finally, the length of the drainage networks, as a key factor, was calculated to analyse quantitatively the relationship between the three parameters mentioned above and to further discuss the optimization of these parameters. The research results revealed that:(1)The length of the drainage networks obeys one composite power function;(2)When thresholds keeps constant, drainage network features decreased with DEM grid cell size continuously;(3)According to the mathematical analysis of the composite function, the optimal grid cell size and drainage area threshold are 40m and 7.2km2 respectively. The extracted drainage networks with the optimal parameters met with those extracted from the SPOT5 remote sensing image very well.

Cite this article

CHEN Junming, LIN Guangfa, YANG Zhihai, CHEN Hanyue . Parameters Optimization in Extracting Digital Drainage Networks with DEM[J]. Journal of Geo-information Science, 2011 , 13(1) : 32 -37 . DOI: 10.3724/SP.J.1047.2011.00032


[1] 汤国安,杨昕. ArcGIS地理信息系统空间分析实验教程

[2] 陈加兵,励惠国,郑达贤,等.基于DEM的福建省小流域划分研究
[J].地球信息科学,2007,9(2): 74-77.

[3] Jenson S K. Applications of Hydrologic Information Automatically Extracted from Digital Elevation Models
[J]. Hydrological Processes, 1991, 5:31-44.

[4] Venkatachalam P, Mohan B K, Kotwal A, et al. Automatic Delineation of Watersheds for Hydrological Applications . // "The 22nd Asian Conference On Remote Sensing", 2001.

[5] O' Callaghan J F, Mark D M. The Extraction of Drainage Networks from Digital Elevation Data
[J]. Computer Vision Graphics and Image Process, 1984, 28(3): 323-344.

[6] 周贵云,刘瑜,邬伦.基于数字高程模型的水系提取算法
[J].地理学与国土研究,2000,16(4): 77-81.

[7] 张东辉,张金存,刘方贵.关于水文学中非线性效应的探讨
[J].水科学进展,2007,18(5): 776-784.

[8] 赵雅萍,黄岩,邱道持.数字流域河网提取中的阈值问题研究
[J].信阳师范学院学报:自然科学版,2008,21(2): 232-235.

[9] 李昌峰,冯学智,赵锐.流域水系自动提取的方法和应用
[J].湖泊科学,2003,15(3): 205-212.

[10] 魏林宏,郝振纯,李丽.不同分辨率DEM的信息熵评价及其对径流模拟的影响
[J].水电能源科学,2004,22(4): 1-4.

[11] 刘金涛,陆春明.DEM分辨率对数字河网水系提取的影响趋势分析
[J].中国农村水利水电,2009(3): 7-9.

[12] Vaze J, Teng J. Impact of DEM Resolution on Topographic Indices and Hydrological Modelling Results. // Oxley L and Kulasiri D. (Eds). MODSIM 2007 International Congress on Modeling and Simulation, 2007, 706-712.

[13] McMaster K J. Effects of Digital Elevation Model Resolution on Derived Stream Network Positions
[J]. Water Resources Research, 2002, 38(4):131-134.

[14] Li Z. A Comparative Study of the Accuracy of Digital Terrain Models (DTMs) Based on Various Data Models
[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 1994, 49.

[15] 郝振纯,池宸星.空间分辨率与取样方式对DEM流域特征提取的影响
[J].冰川冻土,2004,26(5): 610-615.

[16] Deng Y, Wilson J P, Bauer B O. DEM Resolution Dependencies of Terrain Attributes across a Landscape
[J]. International Journal of Geographical Science, 2007, 21(2):187-213.

[17] 苪孝芳.水文学原理

[18] 孔凡哲,李莉莉.利用DEM提取河网时集水面积阈值的确定
[J].水电能源科学,2005,23(4): 65-67.

[19] 孔凡哲,苪孝芳.处理DEM中闭合洼地和平坦区域的一种新方法
[J].水科学进展,2003,14(3): 290-294.

[20] Martz L W, Garbrecht J. Automated Recognition of Valley Lines and Drainage Networks from Grid Digital Elevation Models: A Review and a New Method——Comment
[J]. Journal of Hydrology, 1995, 167: 393-396.