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Investigating the Sediment Yield Predictability in Some Italian Rivers by Means of Hydro-Geomorphometric Variables

机译：利用水文地貌变量研究意大利一些河流的泥沙产量可预测性

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In the present work, preliminary results are reported from an ongoing research study aimed at developing an improved prediction model to estimate the sediment yield in Italian ungauged river basins. The statistical correlations between a set of hydro-geomorphometric parameters and suspended sediment yield (SSY) data from 30 Italian rivers were investigated. The main question is whether such variables are helpful to explain the behavior of fluvial systems in the sediment delivery process. To this aim, a broad set of variables, simply derived from digital cartographic sources and available data records, was utilized in order to take into account all the possible features and processes having some influence on sediment production and conveyance. A stepwise regression analysis pointed out that, among all possibilities, the catchment elevation range ( H r ), the density of stream hierarchical anomaly ( D a ), and the stream channel slope ratio (Δ S s ) are significantly linked to the SSY. The derived linear regression model equation was proven to be satisfactory ( r 2 -adjusted = 0.72; F -significance = 5.7 × 10 ?8 ; ME = 0.61), however, the percentage standard error (40%) implies that the model is still affected by some uncertainties. These can be justified, on one hand, by the wide variance and, on the other hand, by the quality of the observed SSY data. Reducing these uncertainties will be the effort in the follow-up of the research.
机译：在目前的工作中，正在进行的一项研究报告了初步结果，该研究旨在开发一种改进的预测模型，以估算意大利未开挖流域的沉积物产量。研究了一组水文地貌参数与30条意大利河流的悬浮泥沙产量（SSY）数据之间的统计相关性。主要问题是这些变量是否有助于解释沉积物输送过程中河流系统的行为。为此，利用了一系列简单地从数字制图资源和可用数据记录中得出的变量，以考虑对沉积物产生和输送有一定影响的所有可能的特征和过程。逐步回归分析指出，在所有可能性中，集水区高程范围（H r），河流分层异常密度（D a）和河流通道斜率（ΔS s）与SSY密切相关。事实证明，得出的线性回归模型方程是令人满意的（r 2调整后= 0.72; F显着性= 5.7×10？8; ME = 0.61），但是，百分比标准误差（40％）意味着该模型仍然受一些不确定因素的影响。一方面，可以通过较大的差异来证明这些合理性，另一方面，可以通过观察到的SSY数据的质量来证明这些合理性。减少这些不确定性将是后续研究的努力。

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