利用水样和高分辨率 ADCP 测量,计算河流悬沙通量并进行不确定性估算

IF 2.8 2区 地球科学 Q2 GEOGRAPHY, PHYSICAL
Jessica Laible, Guillaume Dramais, Jérôme Le Coz, Blaise Calmel, Benoît Camenen, David J. Topping, William Santini, Gilles Pierrefeu, François Lauters
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引用次数: 0

摘要

摘要由于河流中悬浮砂的时空变异性很大,因此测量河流中的悬浮砂通量仍然是一项科学挑战。为了捕捉横截面上浓度的垂直和横向梯度,需要进行点取样测量。然而,由于对主要误差来源的研究很少,与这些测量相关的不确定性很少得到评估。因此,本研究旨在开发一种确定横截面砂流量并估算其不确定性的方法。这种 SDC(排沙计算)方法将点样本中的悬沙浓度与 ADCP(声学多普勒海流剖面仪)高分辨率深度和流速测量相结合。通过 MAP(多断面平均剖面)方法,可以获得规则网格上多个 ADCP 断面的平均值,包括未测量区域。利用贝叶斯模型对数据进行理论指数悬沙剖面拟合,从而对悬沙浓度进行垂直整合。横向整合则以水深作为当地河床剪应力的替代值,以评估河床浓度和泥沙沿河流断面的扩散情况。不确定性估算结合了 ISO 标准和半经验方法,并采用贝叶斯方法估算垂直整合带来的不确定性。新方法适用于在科罗拉多河、罗讷河、伊泽尔河和亚马逊河等四条河流的不同水文沉积条件下收集的数据,计算流量的不确定性介于 18% 与 32% 之间。与 ISO 4363 方法相比,拟议的 SDC 方法计算出的 21 个案例中的悬沙通量的相对差异在 -16% 到 +3% 之间。该方法具有灵活的开放源代码,首次提出了适用的不确定性估计方法,可用于其他通量计算方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
River suspended-sand flux computation with uncertainty estimation, using water samples and high-resolution ADCP measurements
Abstract. Measuring suspended-sand fluxes in rivers remains a scientific challenge due to their high spatial and temporal variability. To capture the vertical and lateral gradients of concentration in the cross section, measurements with point samples are performed. However, the uncertainty related to these measurements is rarely evaluated, as few studies of the major sources of error exist. Therefore, the aim of this study is to develop a method determining the cross sectional sand flux and estimating its uncertainty. This SDC (for Sand Discharge Computing) method combines suspended-sand concentrations from point samples with ADCP (Acoustic Doppler Current Profiler) high-resolution depth and velocity measurements. The MAP (for Multitransect Averaged Profile) method allows to obtain an average of several ADCP transects on a regular grid, including the unmeasured areas. The suspended-sand concentrations are integrated vertically by fitting a theoretical exponential suspended-sand profile to the data using Bayesian modelling. The lateral integration is based on the water depth as a proxy for the local bed shear stress to evaluate the bed concentration and sediment diffusion along the river cross-section to evaluate the bed concentration and sediment diffusion along the river cross-section. The estimation of uncertainty combines ISO standards and semi-empirical methods with a Bayesian approach to estimate the uncertainty due to the vertical integration. The new method is applied to data collected in four rivers under various hydro-sedimentary conditions: the Colorado, Rhône, Isère and Amazon Rivers, with computed flux uncertainties ranging between 18 and 32 %. The relative difference between the suspended-sand flux in 21 cases calculated with the proposed SDC method compared to the ISO 4363 method ranges between -16 and +3 %. This method, which comes with a flexible, open-source code, is the first proposing an applicable uncertainty estimation, that could be adapted to other flux computation methods.
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来源期刊
Earth Surface Dynamics
Earth Surface Dynamics GEOGRAPHY, PHYSICALGEOSCIENCES, MULTIDISCI-GEOSCIENCES, MULTIDISCIPLINARY
CiteScore
5.40
自引率
5.90%
发文量
56
审稿时长
20 weeks
期刊介绍: Earth Surface Dynamics (ESurf) is an international scientific journal dedicated to the publication and discussion of high-quality research on the physical, chemical, and biological processes shaping Earth''s surface and their interactions on all scales.
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