Quantifying sedimentary deposits is crucial to fully test generic trends cited within facies models. To date, few studies have quantified downstream trends alongside vertical and lateral variations within distributive fluvial systems (DFS), with most studies reporting qualitative trends. This study reports on the generation of a quantitative dataset on the Huesca DFS, Ebro Basin, Spain, in which downstream, vertical and lateral trends in channel characteristics are analyzed using a fusion of field data and virtual outcrop model derived data (VOM). Vertical trend analysis reveals that the exposed portion of the Huesca DFS does not show any systematic changes through time, which suggests autogenic-driven local variability. Proximal-to-distal trends from field data display a downstream decrease in average channel body thicknesses (13.1–0.7 m), channel deposit percentage (70–4%), and average storey thicknesses (5.2–0.7 m) and confirm trends observed on other DFS. The VOM dataset shows a similar downstream trend in all characteristics. The range in values are, however, larger due to the increase in amount of data that can be collected, and trends are thus less clear. This study therefore highlights that standard field techniques do not capture the variability that can be present in outcrops. Channel percentage was found to be most variable (37% variation) in the medial setting, whereas channel body thickness is most variable (∼15 m range) in the proximal setting. Storey thickness varied in both the proximal and medial settings (range of 9 and 11 m for field and VOM data respectively) becoming more consistent downstream. Downstream shifts in architecture are also noted from massive, highly amalgamated channel-body sandstones in proximal regions to isolated or offset-stacked channel-bodies dominating the distal region. Trends are explained by spatial variability in DFS processes and preservation potential. The overlap present indicates that no single value is representative of position within a DFS, which has important implications for interpreting the location that a data point sits within a DFS when using limited (i.e., single log) datasets. These comparative results contribute to improving the accuracy of system-scale downstream predictions for channel characteristic variability within subsurface deposits.

量化沉积物沉积对于全面测试相模型中引用的一般趋势至关重要。迄今为止，很少有研究量化分布河流系统（DFS）内的下游趋势以及垂直和横向变化，大多数研究报告了定性趋势。这项研究报告了西班牙埃布罗盆地韦斯卡DFS定量数据集的生成，其中使用现场数据和虚拟露头模型导出数据（VOM）的融合分析了河道特征的下游，垂直和横向趋势。垂直趋势分析显示，韦斯卡DFS的裸露部分不会随时间显示任何系统变化，这表明自成因驱动的局部变异性。现场数据从近到远的趋势显示，平均河道体厚度（13.1–0.7 m）向下游减小，通道沉积物百分比（70–4％）和平均层厚度（5.2–0.7 m），并确认在其他DFS上观察到的趋势。VOM数据集的所有特征都显示出相似的下游趋势。但是，由于可以收集的数据量增加，因此值的范围更大，因此趋势不太清楚。因此，这项研究强调了标准田间技术无法捕获露头可能存在的变异性。发现在中间位置，通道百分比变化最大（变化37％），而在近端位置，通道主体厚度变化最大（约15 m范围）。在近端和内侧设置中，层厚均发生变化（对于野外和VOM数据分别为9 m和11 m），下游变得更加一致。大规模的，在近端区域高度合并的通道体砂岩，到孤立的或偏移堆积的通道体占主导地位的远端区域。趋势可以通过DFS流程中的空间可变性和保存潜力来解释。存在的重叠表明没有单个值代表DFS中的位置，这在解释使用有限（即单个对数）数据集时数据点在DFS中的位置具有重要意义。这些比较结果有助于提高地下沉积物内通道特征变异性的系统规模下游预测的准确性。存在的重叠表明没有单个值代表DFS中的位置，这在解释使用有限（即单个对数）数据集时数据点在DFS中的位置具有重要意义。这些比较结果有助于提高地下沉积物内通道特征变异性的系统规模下游预测的准确性。存在的重叠表明没有单个值代表DFS中的位置，这在解释使用有限（即单个对数）数据集时数据点在DFS中的位置具有重要意义。这些比较结果有助于提高地下沉积物内通道特征变异性的系统规模下游预测的准确性。