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EAR-PF: Using distributions of channel geometry and channel belt properties to distinguish meandering and braided fluvial deposits in the rock record

EAR-PF: Using distributions of channel geometry and channel belt properties to distinguish meandering and braided fluvial deposits in the rock record
EAR-PF:利用河道几何形状和河道带特性的分布来区分岩石记录中的曲流和辫状河流沉积物
批准号:
1952814
负责人:
Tian Dong
金额:
$17.4万
依托单位:
依托单位国家:
美国
项目类别:
Fellowship Award
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-01 至 2022-08-31

项目摘要

项目成果

Tian Dong的其他基金

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中文摘要
翻译
田东博士获得美国国家科学基金会EAR博士后奖学金,在美国德克萨斯大学奥斯汀分校接受Timothy Goudge博士的指导,开展研究和教育计划。这个项目将研究在地球上观察到的两种主要河流形态之间的区别:单线和编织模式。在现代环境中,区分这些河流类型很简单,因为它们可以通过水文数据直接观察或预测。然而,在沉积岩记录中区分河道模式被证明是更加困难的,因为只有残存的河道被保存下来,而且它们只占整个记录的一小部分。在地质记录中识别河道模式对于预测地下水和油气储层的质量和非均质性具有重要意义。通过这一项目,将开发一套新的度量标准,利用利用遥感数据从地球上的现代河流测量的河道和河道带(即同一条河流在不同时间的河道沉积物的集合)的尺寸分布来区分河流类型。然后,这些指标将在区分古代岩石记录中的河流类型的背景下进行解释,预期的发现与美国和相关行业的能源和水资源安全有关。该项目还旨在通过GeoFORCE等外展项目和德克萨斯大学奥斯汀分校的研究机会,促进未被充分代表的群体在各级(K-12和本科)STEM领域的参与。在现代环境下,利用河道坡度、宽度、深度和水量等水力变量,可以较好地预测两种主要河流形态(单线型和辫状型)的形成。然而,在岩石记录中识别河道模式是困难的,因为只保留了原始河道的残迹。由于斜坡和流量等水力变量不能直接在岩层中测量,因此这项工作将依赖地质代理。除了区分河流类型对评估地下储层质量的重要性外,这种区分对于检验单线河流在志留纪(~415 ~ 445 Ma)陆生植物到来之前是否罕见的假设也很重要。先前的研究已经重建了上述四个水力变量,以区分岩石记录中的河道模式,但由于复合计算误差,这些结果具有高达一个数量级的不确定性。本研究建议开发新的诊断指标,利用水力变量的分布和河道带性质(例如,宽度和曲率半径),通过遥感技术从世界各地的现代河流系统中测量,最终目的是在岩石记录中区分河道类型。具体而言,我们的目的是验证辫状河和单线河在河流分支理论支持下具有不同的河道几何形状和河道带性质分布的假设。我们预计,这项研究的结果将广泛适用,因为几何变量,如宽度和深度,以及水道带宽度很容易测量,或者可以用最小的计算步骤在观测长度尺度上重建,从露头到地震图像,时间尺度,从现代系统到古代沉积矿床,跨越地点,从地球到其他行星。该项目获得了地球科学部地貌学和土地利用动力学项目的共同资助。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
An NSF EAR Postdoctoral Fellowship has been granted to Dr. Tian Dong to carry out research and education plans at the University of Texas at Austin under the mentorship of Dr. Timothy Goudge. This project will study the distinctions between the two dominant river morphologies observed on Earth: single-thread and braided patterns. Distinguishing between these river types is straightforward in the modern environment as they can be directly observed or predicted using hydrological data. However, distinguishing channel patterns in the sedimentary rock record has proven more difficult, as only remnants of the river channels are preserved and they only account for a small fraction of the overall record. Identifying channel patterns in geologic records is important for predicting the quality and heterogeneity of groundwater and hydrocarbon reservoirs. Through this project, a new set of metrics will be developed for distinguishing river types using distributions of the dimensions of river channels and channel belts (i.e., collections of channel deposits from the same river at different times), measured from modern rivers on Earth using remote sensing data. These metrics will then be interpreted in the context of distinguishing between river types in the ancient rock record, with the anticipated findings relevant for the security of energy and water resources in the United States and related industries. This project also aims to promote participation of underrepresented groups in STEM fields at all levels (K-12 and undergraduate) through outreach programs such as GeoFORCE and research opportunities at the University of Texas at Austin.Formation of the two main river morphologies, single-thread and braided patterns can be relatively well predicted in modern environments using hydraulic variables of channel slope, width, depth, and water discharge. However, recognition of channel patterns in the rock record is difficult because only remnants of the original river channels are preserved. Since hydraulic variables such as slope and discharge cannot be measured directly in rock formations, this work will rely on geologic proxies. In addition to the significance of distinguishing river types to assess subsurface reservoir quality, this distinction is important for testing the hypothesis that whether single-thread rivers were rare prior to the arrival of land plants in the Silurian (~415 to 445 Ma). Previous studies have reconstructed the above four hydraulic variables to distinguish channel patterns in the rock record, but such results have uncertainties that range up to an order of magnitude due to compounded calculation errors. This study proposes to develop new diagnostic metrics using distributions of hydraulic variables and channel belt properties (e.g., width and radius of curvature), measured from modern fluvial systems worldwide via remote sensing techniques, with the ultimate aim for distinguishing channel types in the rock record. Specifically, we aim to test the hypothesis that braided and single-thread rivers have distinct distributions of channel geometry and channel belt properties as supported by theories on river branching. We anticipate that the results of this study will be widely applicable, as geometry variables, such as width and depth, and channel belt width are easily measurable or can be reconstructed with minimum calculation steps across observational length scales, from outcrops to seismic images, timescales, from modern systems to ancient sedimentary deposits, and across localities, from Earth to other planets. This project received co-funding from the Geomorphology and Land-use Dynamics program in the Earth Science division.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1130/g49935.1
发表时间: 2022-06-13
期刊: GEOLOGY
影响因子: 5.8
作者: [Dong, Tian Y., Goudge, Timothy A.]
通讯作者: Goudge, Timothy A.
Collaborative Research: RAPID: Investigating the magnitude and timing of post-fire sediment transport in the Texas Panhandle
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