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Earth Surface Dynamics An interactive open-access journal of the European Geosciences Union
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Volume 5, issue 1
Earth Surf. Dynam., 5, 145–160, 2017
https://doi.org/10.5194/esurf-5-145-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Earth Surf. Dynam., 5, 145–160, 2017
https://doi.org/10.5194/esurf-5-145-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 24 Feb 2017

Research article | 24 Feb 2017

Coupling slope–area analysis, integral approach and statistic tests to steady-state bedrock river profile analysis

Yizhou Wang, Huiping Zhang, Dewen Zheng, Jingxing Yu, Jianzhang Pang, and Yan Ma Yizhou Wang et al.
  • State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing 100029, China

Abstract. Slope–area analysis and the integral approach have both been widely used in stream profile analysis. The former is better at identifying changes in concavity indices but produces stream power parameters with high uncertainties relative to the integral approach. The latter is much better for calculating channel steepness. Limited work has been done to couple the advantages of the two methods and to remedy such drawbacks. Here we show the merit of the log-transformed slope–area plot to determine changes in concavities and then to identify colluvial, bedrock and alluvial channels along river profiles. Via the integral approach, we obtain bedrock channel concavity and steepness with high precision. In addition, we run bivariant linear regression statistic tests for the two methods to examine and eliminate serially correlated residuals because they may bias both the estimated value and the precision of stream power parameters. We finally suggest that the coupled process, integrating the advantages of both slope–area analysis and the integral approach, can be a more robust and capable method for bedrock river profile analysis.

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We analyze steady-state bedrock river profiles via a coupled approach. First, we identify channel types from slope–area data. Then, we get concavity and steepness indices of bedrock channels by the chi analysis. We run bivariant linear regression statistic tests for the two methods to examine and eliminate autocorrelation of residuals. We apply the coupled approach to rivers in the Mendocino Triple Junction region of northern California and get reliable results consistent with previous work.
We analyze steady-state bedrock river profiles via a coupled approach. First, we identify...
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