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

机译:稳态基岩河流剖面分析的耦合斜率-面积分析,积分方法和统计检验

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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.
机译:边坡面积分析和积分方法都已广泛用于流剖面分析中。前者更擅长识别凹度指数的变化,但产生的流功率参数相对于积分方法具有较高的不确定性。后者对于计算通道陡度要好得多。已经完成了有限的工作来结合这两种方法的优点并弥补这些缺点。在这里,我们展示了对数变换的坡度-面积图的优点,可以确定凹度的变化,然后确定沿河剖面的冲积,基岩和冲积河道。通过积分方法,我们可以得到高精度的基岩通道凹度和陡度。此外,我们针对这两种方法运行双变量线性回归统计检验,以检查和消除序列相关的残差,因为它们可能会影响流功率参数的估计值和精度。我们最后建议,结合过程结合坡面分析和整体方法的优点,可以成为基岩河流剖面分析的一种更强大,更强大的方法。

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