Parallel Channel Identification and Elimination Method Based on the Spatial Position Relationship of Different Channels

Author:

Zhao Mingwei1234ORCID,Ju Xiaoxiao5ORCID,Wang Ni1234,Wang Chun1234,Zeng Weibo1234,Xu Yan1234

Affiliation:

1. Anhui Province Key Laboratory of Physical Geographic Environment, Chuzhou University, Chuzhou 239000, China

2. Anhui Engineering Laboratory of Geo-Information Smart Sensing and Services, Chuzhou 239000, China

3. Anhui Center for Collaborative Innovation in Geographical Information Integration and Application, Chuzhou 239000, China

4. School of Geographic Information and Tourism, Chuzhou University, Chuzhou 239000, China

5. College of Resource, Environment and Tourism, Capital Normal University, Beijing 100048, China

Abstract

Extracting a channel network based on the Digital Elevation Model (DEM) is one of the key research topics in digital terrain analysis. However, when the channel area is wide and flat, it is easy to form parallel channels, which seriously affect the accuracy of channel network extraction. To solve this problem, this study proposes a method to identify and eliminate parallel channels extracted by classical methods. First, the channel level in the study area is marked based on the flow accumulation data, and the parallel channels are then identified using the positional relationship between the different channel levels. Finally, the modification point of the identified parallel channels is determined to eliminate the parallel channels, with the help of the change relationship between the parallel channel and its upper-level channel. In this study, two watersheds in southeast China are selected as examples for method verification and analysis. Experimental results show that the parallel channel identification method proposed in this paper can accurately identify all parallel channels and eliminate the identified parallel channels one by one. The location relationship of the modified channels is consistent with the actual situation, indicating that the proposed method has good application potential in DEM-based channel extraction networks.

Funder

Anhui Province Key Laboratory of Physical Geographic Environment, P.R. China

Anhui Province Universities Outstanding Talented Person Support Project

Major Project of Natural Science Research of Anhui Provincial Department of Education

Key Project of Natural Science Research of Anhui Provincial Department of Education

Chuzhou science and Technology Bureau

“113” Industry Innovation Team of Chuzhou city in Anhui province

Publisher

MDPI AG

Subject

Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Geography, Planning and Development

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