Sediment accumulation at the Amazon coast observed by satellite gravimetry

IF 11.4 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES Remote Sensing of Environment Pub Date : 2025-03-05 DOI:10.1016/j.rse.2025.114688
Earthu H. Oh , Ki-Weon Seo , Taehwan Jeon , Jooyoung Eom , Jianli Chen , Clark R. Wilson
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Abstract

Terrestrial sediment transport through large rivers exerts a significant impact on coastal morphology, marine ecosystems, and human livelihoods. Accurately measuring these sediment discharges has long been a challenge. Traditional in-situ methods fall short of providing comprehensive and continuous assessments of sediment dynamics due to spatiotemporal and economic constraints. While remote sensing techniques using satellite imagery have offered valuable insights into sediment transportation and deposition, their scope is primarily restricted to observing suspended sediment loads rather than total loads. Sediment accumulation at river margins will cause gravity increases observable by the Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GFO) missions. Previous efforts to observe sediment signals lacked proper corrections for various GRACE/GFO issues, including leakage of signals from surrounding land, variations in nearby ocean mass, and noise levels that typically exceed sediment signal magnitudes. In this study, we develop a new approach to obtain a satellite gravity estimate of sediment accumulation along the Amazon coast where the largest amount of sediment deposition is expected. We address limitations in previous studies using three steps: Forward modeling to suppress leakage of signal from land to oceans; adjusting ocean mass change via the sea level equation; and filtering using empirical orthogonal functions. The estimated accumulation rate of sediment on the Amazon continental shelf is approximately 1301 Mtons per year for the period June 2002 to May 2023. This estimate is slightly higher than the results from field-based studies, which fall in the range 550 to 1030 Mtons per year.

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卫星重力测量法观测到的亚马逊沿岸沉积物堆积情况
陆地沉积物通过大河的输运对海岸形态、海洋生态系统和人类生计产生重大影响。长期以来,准确测量这些沉积物排放一直是一个挑战。由于时空和经济的限制,传统的原位方法无法提供全面和连续的沉积物动态评估。虽然利用卫星图像的遥感技术提供了关于泥沙运输和沉积的宝贵见解,但其范围主要限于观测悬浮泥沙负荷,而不是总负荷。重力恢复与气候实验(GRACE)和GRACE后续(GFO)任务观测到,河流边缘沉积物的积累将导致重力增加。以前观测沉积物信号的努力缺乏对各种GRACE/GFO问题的适当修正,包括来自周围陆地的信号泄漏,附近海洋质量的变化,以及通常超过沉积物信号量级的噪声水平。在这项研究中,我们开发了一种新的方法来获得沿亚马逊海岸沉积物堆积的卫星重力估计,那里的沉积物沉积量最大。我们通过三个步骤解决了以前研究中的局限性:正演模拟来抑制从陆地到海洋的信号泄漏;通过海平面方程调整海洋质量变化;用经验正交函数滤波。2002年6月至2023年5月期间,亚马逊大陆架沉积物的估计累积速率约为每年1301亿吨。这一估计略高于实地研究的结果,实地研究的结果在每年5.5亿吨至10.3亿吨之间。
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来源期刊
Remote Sensing of Environment
Remote Sensing of Environment 环境科学-成像科学与照相技术
CiteScore
25.10
自引率
8.90%
发文量
455
审稿时长
53 days
期刊介绍: Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing. The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques. RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.
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