Dam‐related downstream adjustments of riverbeds are normally investigated by analysing the trend in sediment supply and high flow events during the pre‐ and post‐dam periods. The required data for existing predictive models is not measured at river gauges, which limits the application of these tools. We derived the frequency of sediment‐transporting streamflow events (T*) and upstream sediment supply (S*) in the pre‐ and post‐dam periods with widely available gauged records and predicted changes in the downstream riverbed by adapting an existing model. Ten gauging stations in the Godavari River Basin, India, located downstream of dams, were chosen as study sites. Annually surveyed cross‐sections at each site validated the accuracy of the predicted dam‐related downstream changes. Then, a regression equation (R² = 0.75) was established between T*/S* (independent variable) and changes in the downstream bed elevation (dependent variable) for the Godavari Basin. We recommended that similar local empirical equations be formulated for larger river basins. Models of large‐scale rainfall‐runoff and sediment transport processes that can account for the influence of dams, such as the Soil & Water Assessment Tool, can be paired with the proposed regression equation to estimate dam‐related downstream erosion and deposition with globally available data.

中文翻译：

---

利用广泛可用的水位仪数据预测与大坝相关的下游地貌响应：以印度戈达瓦里河流域为例

通常通过分析大坝前后的沉积物供应和高流量事件的趋势来研究大坝相关的河床下游调整。现有预测模型所需的数据未在河流表处测量，这限制了这些工具的应用。我们利用广泛可用的实测记录并通过改编现有模型来预测大坝之前和之后大坝的泥沙输送水流事件（T *）和上游泥沙供应（S *）的频率。选择位于印度戈达瓦里河流域大坝下游的10个测量站作为研究地点。每个站点的年度调查横截面验证了与大坝相关的下游变化预测的准确性。然后，回归方程（R ²在戈达瓦里盆地的T * / S *（独立变量）和下游河床高程变化（独立变量）之间建立0.75的差值。我们建议为较大的流域制定类似的当地经验公式。可以考虑大坝影响的大规模降雨径流和泥沙输送过程模型，例如土壤和水评估工具，可以与建议的回归方程配对使用，以估算与大坝有关的下游侵蚀和沉积情况数据。