Washover fans are located on small barriers in fetch‐limited micro‐tidal coastal environments in Denmark. These washover fans are formed during high‐energy storm events and we present a method to quantify their volumes and to estimate sediment exchanges between washover fans and their adjacent morphologies. We use high resolution digital terrain models (DTMs) based on light detection and ranging (LiDAR) data. We have delineated landforms using known methods of scale analysis and geomorphometric classification. We quantified volumes of the delineated landforms and estimated the related sediment budgets. These computed volumes were compared using different pre‐depositional surfaces. Finally, we assessed the sediment exchange and associated sources of sediments of the washover fans. We applied a scale analysis to determine suitable DTM resolution and focal statistics window size as input to a geomorphometric classification analysis. Landform areas and landforms were delineated using morphometric threshold values, and volumes and sediment budgets of the delineated landforms were computed using different assumptions to define the pre‐depositional surface. Resulting washover fan volumes were validated against digital elevation model (DEM) of difference (DoD) derived volumes. Sediment budgets were derived from representative volumes of the washover fans and adjacent berms. We show that quantification of washover features derived from DTMs, using geomorphometric analysis is feasible and that the presented approach provides estimates of washover deposit volumes with an accuracy between 1% and 28% compared to control volumes. © 2021 John Wiley & Sons, Ltd.

中文翻译：

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一种使用数字地形模型估算冲刷沉积物沉积物预算的方法

在丹麦，取水风扇位于取水受限的微潮沿海环境中的小障碍物上。这些冲刷扇是在高能风暴事件期间形成的，我们提出了一种量化其数量并估算冲刷扇及其相邻形态之间泥沙交换的方法。我们使用基于光检测和测距（LiDAR）数据的高分辨率数字地形模型（DTM）。我们使用已知的比例尺分析和地貌分类方法绘制了地形图。我们量化了所描绘的地貌的数量，并估计了相关的沉积物预算。使用不同的预沉积表面比较了这些计算的体积。最后，我们评估了冲洗风扇的沉积物交换和相关的沉积物来源。我们应用了比例分析来确定合适的DTM分辨率和焦点统计窗口大小，以作为地貌分类分析的输入。使用形态学阈值来描绘地形区域和地貌，并使用不同的假设来计算所描绘地形的体积和沉积物预算，以定义沉积前的地表。针对差异（DoD）得出的数字高程模型（DEM）验证了产生的冲洗风扇的体积。沉积物预算来自冲洗风扇和相邻护堤的代表性体积。我们表明，使用几何形态分析对从DTM衍生的冲洗特征进行量化是可行的，并且所提出的方法与控制体积相比，可以提供1％至28％的准确度的冲洗沉积量估算值。