利用Sentinel-2和Vjosa河浊度计小型网络进行沉积物来源和汇识别

IF 2.8 2区 地球科学 Q2 GEOGRAPHY, PHYSICAL Earth Surface Dynamics Pub Date : 2023-09-19 DOI:10.5194/esurf-11-881-2023
Jessica Droujko, Srividya Hariharan Sudha, Gabriel Singer, Peter Molnar
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引用次数: 0

摘要

摘要在流域出口测量悬沙浓度(SSC),可以得到流域整体的泥沙通量图;然而,它并没有给出流域内可能的沉积物路径的完整空间视角。需要对河网沿线的SSC进行空间分辨估计,以确定沉积物来源和汇,跟踪侵蚀梯度,并量化人类对流域尺度沉积物产生的影响,例如大坝建设或侵蚀控制。在这里,我们探索在狭窄和地形复杂的山地河流中使用高分辨率Sentinel-2卫星图像,结合地面站浊度传感进行校准,并通过拉格朗日皮划艇衍生的河流剖面测量来支持。这项研究是在阿尔巴尼亚的Vjosa河上进行的,这是欧洲最后一个完整的大型河流系统之一。我们开发了一个工作流程,从2019年5月至2021年7月(106张图像)的Sentinel-2图像中估计河流浊度概况,包括大气、云层和深水校正。位于Vjosa河沿岸的四个浊度传感器的现场浊度测量提供了地面真实情况。在浊度和反射率之间建立了多元线性回归模型。提取的纵向河流浊度剖面定性验证与河流的两个下降与浑浊度传感器连接到一个皮艇。卫星获取的河流剖面揭示了沿干流的浊度变化,具有强烈的季节性信号,整个河流的冬季平均浊度最高。最重要的是,沉积物来源和汇可以从河流的浑浊度剖面中识别和量化,包括支流和Vjosa河段。大部分时间,流域和河网作为泥沙源区,显著的泥沙汇很少。沉积物来源主要是全流域降雨后的支流,但河床和河岸内的沉积物来源也是可能的。最后,我们利用这些数据估计了Dorez的年平均细沙产量为~ 2.5±0.6 Mt yr - 1,这与之前的研究结果一致,揭示了Vjosa河作为亚得里亚海重要沉积物来源的重要性。这项工作提出了一个概念证明,即开放获取的高分辨率卫星数据不仅在大型水体中,而且在较小的河流中都有可能用于悬浮沉积物的量化。潜在的应用有很多,包括确定河流三角洲的侵蚀热点、泥沙活化过程、局部点源、冰川沉积物输入和泥沙通量,未来的研究重点是提高这些分析的准确性和减少不确定性。
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Sediment source and sink identification using Sentinel-2 and a small network of turbidimeters on the Vjosa River
Abstract. Measurement of suspended sediment concentration (SSC) at a basin outlet yields a basin-integrated picture of sediment fluxes; however, it does not give a full spatial perspective on possible sediment pathways within the catchment. Spatially resolved estimates of SSC along river networks are needed to identify sediment sources and sinks, to track erosion gradients, and quantify anthropogenic effects on catchment-scale sediment production, e.g., by dam construction or erosion control. Here we explore the use of high-resolution Sentinel-2 satellite images for this purpose in narrow and morphologically complex mountain rivers, combined with ground station turbidity sensing for calibration and supported by a Lagrangian kayak-derived river profile measurement. The study is carried out on the Vjosa River in Albania, which is one of the last intact large river systems in Europe. We developed a workflow to estimate river turbidity profiles from Sentinel-2 images including atmospheric, cloud cover, and deepwater corrections for the period May 2019 to July 2021 (106 images). In situ turbidity measurements from four turbidity sensors located along the Vjosa River provided ground truthing. A multivariate linear regression model between turbidity and reflectance was fitted to this data. The extracted longitudinal river turbidity profiles were qualitatively validated with two descents of the river with a turbidity sensor attached to a kayak. The satellite-derived river profiles revealed variability in turbidity along the main stem with a strong seasonal signal, with the highest mean turbidity in winter along the entire length of the river. Most importantly, sediment sources and sinks could be identified and quantified from the river turbidity profiles, both for tributaries and within the reaches of the Vjosa. The river basin and network acted as a sediment source most of the time and significant sediment sinks were rare. Sediment sources were mostly tributaries following basin-wide rainfall, but within-reach sources in river beds and banks were also possible. Finally, we used the data to estimate the mean annual fine sediment yield at Dorez at ∼2.5±0.6 Mt yr−1, in line with previous studies, which reveals the importance of the Vjosa River as an important sediment source of the Adriatic Sea. This work presents a proof of concept that open-access high-resolution satellite data have potential for suspended sediment quantification not only in large waterbodies but also in smaller rivers. The potential applications are many, including identifying erosion hotspots, sediment activation processes, local point sources, glacial sediment inputs, and sediment fluxes in river deltas, with a necessary future research focus on improving accuracy and reducing uncertainty in such analyses.
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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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