Improving hydroacoustic methods for monitoring suspended-sand flux and grain size in sediment-laden rivers

IF 2.7 3区 地球科学 Q2 GEOGRAPHY, PHYSICAL Earth Surface Processes and Landforms Pub Date : 2025-01-23 DOI:10.1002/esp.6056
Jessica Marggraf, Jérôme Le Coz, Benoît Camenen, François Lauters, Guillaume Dramais, Gilles Pierrefeu, David J. Topping
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Abstract

Suspended-sand concentration and grain-size data in rivers provide valuable information on the catchment's dynamics for scientists and river managers. Producing continuous measurements of suspended-sand concentrations remains a scientific challenge due to their high spatial and temporal variability. Traditional methods such as sediment-rating curves may be highly uncertain, and optical turbidity is insensitive to coarse particles when there are many fine particles. Surrogate hydroacoustic methods aim to improve sand concentration measurements. These single- or dual-frequency acoustic methods use acoustic attenuation and/or backscatter to estimate fine-sediment (i.e., silt and clay) and/or sand concentration and possibly grain size. New methods have recently been developed and applied in rivers exhibiting a wide range of sediment conditions in North America but not independently tested elsewhere by other researchers. In this article, we apply, adapt and evaluate hydroacoustic methods to continuously estimate suspended-sand concentration and grain size in an Alpine river with high suspended-sediment concentrations. From the example of the River Isère at Grenoble Campus, France, we show that the hydroacoustic methods adapted to local conditions may yield valuable sand concentration estimates consistent with traditional measurements. Compared with prior knowledge, limited additional information on the grain size can be obtained due to high uncertainties. Hydroacoustic concentration estimates are more sensitive to real changes in concentration at the event scale than traditional rating-curve methods that relate concentration to discharge only. These findings open the perspective for facilitated sand concentration monitoring at a higher temporal resolution with decreased field work.

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改进水声监测含沙河流悬浮沙通量和粒度的方法
河流中的悬浮砂浓度和粒度数据为科学家和河流管理者提供了有关流域动态的宝贵信息。由于悬浮砂浓度的高时空变异性,连续测量悬浮砂浓度仍然是一项科学挑战。传统的沉淀物分级曲线等方法可能具有高度的不确定性,并且当存在许多细颗粒时,光学浊度对粗颗粒不敏感。替代水声方法旨在改善砂浓度测量。这些单频或双频声学方法使用声波衰减和/或反向散射来估计细沉积物(即淤泥和粘土)和/或沙子浓度以及可能的粒度。最近开发了新的方法,并应用于北美河流中,显示了广泛的沉积物条件,但其他研究人员尚未在其他地方进行独立测试。在本文中,我们应用、改进和评价了水声方法来连续估计高悬浮泥沙浓度的高山河流的悬浮泥沙浓度和粒度。以法国格勒诺布尔校区的is河为例,我们证明了适应当地条件的水声方法可能产生与传统测量一致的有价值的砂浓度估计。与先验知识相比,由于不确定性较大,只能获得有限的粒度附加信息。与仅将浓度与流量联系起来的传统评级曲线方法相比,水声浓度估计对事件尺度上浓度的实际变化更为敏感。这些发现为在减少现场工作的情况下,以更高的时间分辨率进行砂浓度监测开辟了前景。
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来源期刊
Earth Surface Processes and Landforms
Earth Surface Processes and Landforms 地学-地球科学综合
CiteScore
6.40
自引率
12.10%
发文量
215
审稿时长
4 months
期刊介绍: Earth Surface Processes and Landforms is an interdisciplinary international journal concerned with: the interactions between surface processes and landforms and landscapes; that lead to physical, chemical and biological changes; and which in turn create; current landscapes and the geological record of past landscapes. Its focus is core to both physical geographical and geological communities, and also the wider geosciences
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