Issue |
E3S Web Conf.
Volume 429, 2023
The Third International Conference of Construction, Infrastructure, and Materials (ICCIM 2023)
|
|
---|---|---|
Article Number | 02010 | |
Number of page(s) | 9 | |
Section | Hydrological & Environmental Engineering | |
DOI | https://doi.org/10.1051/e3sconf/202342902010 | |
Published online | 20 September 2023 |
Examining meandering stream by using geomorphological characteristics with GIS-based analysis
Civil Engineering Department, Universitas Kristen Maranatha, Jl. Prof.drg.Soeria Soemantri No. 65 Bandung, Indonesia
* Corresponding author: robbyyussac@yahoo.com, robby.yt@eng.maranatha.edu
An assessment of the meandering stream type using its classification system to geomorphology characteristics combined with GIS-based analysis is presented in this paper. It describes geomorphology characteristics consisting of 8 parameters with GIS-based analysis that differ in the zone of sediment position, stream width, stream sinuosity, amplitude, wavelength, bend sharpness, meander pattern, and slope. The selected case study in this paper is the Barito Stream, South Kalimantan, Indonesia. Based on the results, the variability varied in all the geomorphology characteristics except bend sharpness and slope. The transport zone is the longest zone with classified as a very wide river with moderate sinuosity and high amplitude (< 1500). It is also categorized as a moderate wavelength and sharp bend with a relatively shallow slope. This approach is a simple, appropriate, and easy-to-use practice in examining meandering stream since there is no data or lack of supporting field data. The implementation of this meandering stream classification method is suitable for stream restoration projects, fish habitat enhancement, and water resource management. Further research is the study of possible geomorphic responses of a channel to natural and anthropogenic disturbances including channel-bed degradation, channel-bed aggradation, channel widening, and channel straightening.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.