Information Extraction of River Networks and Determination of Drainage Area Threshold Using DEM Data

LUO Dayou; WEN Xingping; SHEN Pan; ZHANG Haonan; ZHANG Lijuan; LI Jinbo; YU Zhi

doi:10.13961/j.cnki.stbctb.2017.04.032

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Information Extraction of River Networks and Determination of Drainage Area Threshold Using DEM Data

- Information Extraction of River Networks and Determination of Drainage Area Threshold Using DEM Data
- Bulletin of Soiland Water Conservation Vol. 37, Issue 4, Pages: 189-193(2017)
- 作者机构：
  
  1. 昆明理工大学国土资源工程学院,云南,昆明,650093
  2. 云南省矿产资源预测评价工程实验室,云南,昆明,650093
  3. 贺州学院,广西,贺州,542899
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2017.04.032
  CLC：
- Published：2017
- 稿件说明：
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LUO Dayou, WEN Xingping, SHEN Pan, et al. Information Extraction of River Networks and Determination of Drainage Area Threshold Using DEM Data[J]. Bulletin of Soiland Water Conservation, 2017, 37(4): 189-193.
DOI：

LUO Dayou, WEN Xingping, SHEN Pan, et al. Information Extraction of River Networks and Determination of Drainage Area Threshold Using DEM Data[J]. Bulletin of Soiland Water Conservation, 2017, 37(4): 189-193. DOI： 10.13961/j.cnki.stbctb.2017.04.032.

摘要

[目的

]

确定适宜的集水阈值，使自动提取的水系河网与实际河道相符。[方法

]

以DEM数据为基础，利用ArcGIS水文分析模块对研究区流域河网水系进行自动提取，基于河网密度与集水阈值的相关性，在已提出的拟合函数一阶导数求转折点、二阶导数求拐点法确定集水阈值的基础上，以龙川江流域为例，提出求解河网密度变化率等于集水阈值变化率的数值方法，得到适宜的集水阈值。[结果

]

通过设置不同集水阈值生成河网，发现不同集水阈值对主河道长度及地理空间位置影响较小，但对提取的河网特征影响较大，最终确定龙川江流域集水阈值设置为0.12 km

为宜。[结论

]

集水阈值的确定影响着河网提取的精度，通过变化率确定集水阈值的方法主观因素较少，避免了人为干扰，相对客观，可对区域水土流失监测提供一定依据。

Abstract

[Objective] Method of determining appropriate drain area threshold was demonstrated to reflect the actual river drainage network.[Methods] Based on the DEM data of Longchuan River basin

the automatic extraction module of watershed drainage network in ArcGIS software was used to extract relevant drainage information. After that

a function between river network density and catchment threshold was fitted

which was used to determine the appropriate drainage threshold by finding the turning point of its first derivative function and/or the inflection point of the second order derivative. This was simultaneously exemplified by the Longchuan River basin. In this case

the threshold was determined by finding where the ratio change of river network density equal to the change rate of the water drainage threshold.[Results] The river networks under different catchment drainage threshold were compared and found that no obvious differences existed with regard to the catchment threshold length of the main channel and the geographic location

but other features of river network were apparently different. In the case of the Longchuan River basin

its appropriate threshold was thought to be 0.12 km2.[Conclusion] The river network extraction precision varied with the drain area threshold. The proposed method in the determination of the catchment threshold is less subjective

and is more objective

which can be used to provide some bases for the monitoring of regional soil erosion.

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