Chow Reynold, Wu Hao, Bennett Jeremy P, Dugge Jürnjakob, Wöhling Thomas, Nowak Wolfgang
Institute for Modelling Hydraulic and Environmental Systems (LS3)/SimTech, University of Stuttgart, Stuttgart, Germany.
Center for Applied Geosciences, University of Tübingen, Tübingen, Germany.
Ground Water. 2019 May;57(3):378-391. doi: 10.1111/gwat.12816. Epub 2018 Aug 22.
This study determines the aspects of river bathymetry that have the greatest influence on the predictive biases when simulating hyporheic exchange. To investigate this, we build a highly parameterized HydroGeoSphere model of the Steinlach River Test Site in southwest Germany as a reference. This model is then modified with simpler bathymetries, evaluating the changes to hyporheic exchange fluxes and transit time distributions. Results indicate that simulating hyporheic exchange with a high-resolution detailed bathymetry using a three-dimensional fully coupled model leads to nested multiscale hyporheic exchange systems. A poorly resolved bathymetry will underestimate the small-scale hyporheic exchange, biasing the simulated hyporheic exchange towards larger scales, thus leading to overestimates of hyporheic exchange residence times. This can lead to gross biases in the estimation of a catchment's capacity to attenuate pollutants when extrapolated to account for all meanders along an entire river within a watershed. The detailed river slope alone is not enough to accurately simulate the locations and magnitudes of losing and gaining river reaches. Thus, local bedforms in terms of bathymetric highs and lows within the river are required. Bathymetry surveying campaigns can be more effective by prioritizing bathymetry measurements along the thalweg and gegenweg of a meandering channel. We define the gegenweg as the line that connects the shallowest points in successive cross-sections along a river opposite to the thalweg under average flow conditions. Incorporating local bedforms will likely capture the nested nature of hyporheic exchange, leading to more physically meaningful simulations of hyporheic exchange fluxes and transit times.
本研究确定了在模拟渗流交换时,对预测偏差影响最大的河流测深方面。为了对此进行研究,我们构建了德国西南部施泰因拉赫河试验场的一个高度参数化的水文地球模型作为参考。然后用更简单的测深数据对该模型进行修改,评估渗流交换通量和渡越时间分布的变化。结果表明,使用三维全耦合模型以高分辨率详细测深数据模拟渗流交换会导致嵌套的多尺度渗流交换系统。分辨率低的测深数据会低估小尺度渗流交换,使模拟的渗流交换偏向更大尺度,从而导致对渗流交换停留时间的高估。当外推以考虑流域内整条河流的所有河曲时,这可能会导致在估算流域污染物衰减能力时出现严重偏差。仅靠详细的河床坡度不足以准确模拟河流失水区和得水区的位置及大小。因此,需要考虑河流内部测深高低方面的局部河床形态。通过优先沿蜿蜒河道的深泓线和反深泓线进行测深测量,测深测量活动可能会更有效。我们将反深泓线定义为在平均水流条件下,连接河流中与深泓线相对的连续横截面上最浅点的线。纳入局部河床形态可能会捕捉到渗流交换的嵌套性质,从而对渗流交换通量和渡越时间进行更具物理意义的模拟。