Collaborative Research: From Surface Dynamics to Strata: Quantifying the Signals of Surface Processes in Space and Time

合作研究：从地表动力学到地层：量化时空地表过程的信号

• 批准号: 1855209
• 负责人: Antoinette Abeyta
• 金额: $ 7.55万
• 依托单位: University of New Mexico
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-07-15 至 2022-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1855209&HistoricalAwards=false
• 关键词: Collaborative; Research; Surface; Dynamics; Strata

River deltas are complex landforms which transport water and sediment from continents to oceans. They are extremely sensitive to environmental changes, e.g. sea-level rise, sediment and water supply, and therefore communities that rely on the resources of these dynamic and sensitive landscapes are at risk. The past dynamics of deltas are partially preserved in their sedimentary records, and these records represent valuable templates for testing predictive models of future change. To understand these systems, the researchers propose to create a predictive framework that enables them to relate the arrangement of channels and floodplains on the surface of deltas to the record of past dynamics preserved in their sediments. Much like river deltas, the earth science field also needs to be responsive to changing demographics in the scientific community through strategic distribution of resources and opportunities. This project provides support for underrepresented minority lead scientists, early career investigators, and inclusive research experiences for students, allowing the researchers to leverage the knowledge and experience that comes from a diverse research team. The framework of support proposed here could be a valuable template for creating a more diverse and inclusive scientific community, particularly in earth science, which continues to have the lowest (9%) rates of ethnic and racial diversity of all other STEM fields.Records of past environmental states contained within the sedimentary deposits of river deltas, while amongst the most complete on Earth, are extremely challenging to decipher. The premise of the proposed research is that the sedimentary record of deltaic systems is mediated by a combination of their autogenic dynamics (e.g. avulsion and lateral migration rates) and allogenic forcings (e.g. climate, tectonics, sea level). The researchers propose to develop an integrated statistical framework to characterize deltaic transport systems and their sedimentary records across a range of spatial and temporal scales. To construct this framework, they will iterate between data from physical and numerical experiments, and field data-sets, providing quantitative constraints on scale-dependent dynamics and their contribution to filtering signals stored in the subsurface sedimentary record. This information is crucial for (1) developing and constraining delta evolution models, (2) inferring paleo-environmental conditions from the stratigraphic record, and (3) aiding the management of natural resources (e.g. coastal aquifers, hydrocarbon reservoirs, etc.) by improving predictions of subsurface reservoir properties over a range of scales. This project is jointly funded by the Geomorphology and Land-Use Dynamics Program and the Established Program to Stimulate Competitive Research (EPSCoR).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.

河流三角洲是一种复杂的地貌，它将水和沉积物从大陆输送到海洋。它们对海平面上升、沉积物和供水等环境变化极为敏感，因此依赖这些动态和敏感地貌资源的社区面临风险。三角洲过去的动态部分保存在它们的沉积记录中，这些记录是测试未来变化预测模型的宝贵模板。为了理解这些系统，研究人员建议创建一个预测框架，使他们能够将三角洲表面的通道和洪泛平原的排列与沉积物中保存的过去动态记录联系起来。就像河流三角洲一样，地球科学领域也需要通过资源和机会的战略分配来应对科学界不断变化的人口统计。该项目为代表性不足的少数民族首席科学家，早期职业调查人员和学生的包容性研究经验提供支持，使研究人员能够利用来自多元化研究团队的知识和经验。这里提出的支持框架可以成为创建更加多元化和包容性的科学界的宝贵模板，特别是在地球科学领域，该领域的民族和种族多样性率仍然是所有其他STEM领域中最低的（9%）。河流三角洲沉积物中包含的过去环境状态记录，虽然是地球上最完整的，但破译起来极具挑战性。 拟议的研究的前提是，三角洲系统的沉积记录介导的自生动力学（如撕脱和横向迁移率）和外源强迫（如气候，构造，海平面）的组合。 研究人员建议开发一个综合统计框架，以描述三角洲运输系统及其在一系列空间和时间尺度上的沉积记录。为了构建这一框架，他们将在物理和数值实验数据与现场数据集之间进行转换，对尺度相关动态及其对过滤存储在地下沉积记录中的信号的贡献提供定量约束。这些信息对于（1）开发和约束三角洲演化模型，（2）从地层记录中推断古环境条件，以及（3）帮助管理自然资源（例如沿海含水层，油气藏等）至关重要。通过在一定范围内改进地下储层性质的预测。该项目由地貌学和土地利用动力学计划以及刺激竞争性研究的既定计划（EPSCoR）共同资助。该奖项反映了NSF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。

项目成果

"Enriching Lives within Sedimentary Geology": Actionable Recommendations for Making SEPM a Diverse, Equitable and Inclusive Society for All Sedimentary Geologists

• DOI: 10.2110/sedred.2020.3.4
• 发表时间: 2020-09
• 期刊: The Sedimentary Record
• 作者: A. Fernandes;A. Abeyta;R. Mahon;R. Martindale;K. Bergmann;C. Jackson;T. Present;D. Reano;T. Swanson;K. Butler;Sarah K. Brisson;C. Johnson;D. Mohrig;M. Blum