Collaborative Research: Statistical Methods for Quantifying Autogenic Processes in Sedimentary Basins

合作研究：沉积盆地自生过程量化的统计方法（图兰大学）elizabeth Hajek（宾夕法尼亚州立大学）项目摘要：古代沉积盆地是地球过去气候、构造和陆面变化的档案。这些沉积物还含有重要的能源和水储备，并将作为碳捕获和储存的宿主。为了管理这些资源和了解沉积矿床，需要改进解释和预测地层模式的方法。沉积系统内部产生的（自生的）动力学可以产生模仿构造、气候和海平面变化产生的模式的地层。为了充分理解和模拟地层学，需要统计方法来过滤沉积沉积物中的自生信号。本项目旨在确定自生沉积模式的主要控制因素，并开发从地层记录中识别和过滤自生信号的方法。通过实验、数值模拟和实地考察相结合，pi将绘制和测量不同大小和特征崩裂时间尺度的河流和三角洲产生的地层组织。这项工作将提高我们从地层数据集中恢复有关自生过程的有意义数据的能力，分离古沉积物中环境条件变化的保存信号，并在冲积盆地中生成预测地层模型。更广泛的影响利用地层记录来了解河流和三角洲环境的演变将提高我们管理自然资源和预测三角洲对气候变化的反应的能力。为了提高公众对沉积物如何通过河流三角洲运输以及这些三角洲如何随时间演变的理解，pi将在杜兰大学开设短期课程？s泥沙动力学实验室，面向高中学生和教师。这些课程将与新奥尔良的艾布拉姆森科学与技术特许学校合作开发，该学校是在卡特里娜飓风之后成立的，旨在改善新奥尔良贫困社区的科学和数学教育。在这些互动课程中，学生将建立一个实验性三角洲，并探索其对不断变化的环境条件（包括海平面上升）的反应。从事本研究项目的教师、研究生和本科生将为这些课程提供便利。此外，该项目的资金将支持两名博士生和几名本科生研究人员，并将帮助两名早期职业教师建立成功的研究项目。

Collaborative Research: Statistical methods for quantifying autogenic processes in sedimentary basinsKyle Straub, Tulane University, EAR-1024443Elizabeth Hajek, Penn State University, EAR-1024710ABSTRACTProject summaryAncient sedimentary basins are archives of past climate, tectonic, and land-surface changes on Earth. These deposits also contain important energy and water reserves and will serve as hosts for carbon capture and storage. In order to manage these resources and understand sedimentary deposits, improved methods are needed for interpreting and predicting stratigraphic patterns. Internally generated (autogenic) dynamics in sedimentary systems can generate stratigraphy that mimics patterns produced by tectonics, climate, and sea level changes. Statistical methods are needed to filter autogenic signals from sedimentary deposits in order fully understand and model stratigraphy. This project aims to determine the primary controls on autogenic sedimentation patterns and develop methods for identifying and filtering autogenic signals from the stratigraphic record. Through a combination of experiments, numerical modeling, and fieldwork, PIs will map and measure stratigraphic organization produced by rivers and deltas with different sizes and characteristic avulsion timescales. This work will advance our ability to recover meaningful data about autogenic processes from stratigraphic datasets, isolate preserved signals of changing environmental conditions in ancient deposits, and generate predictive stratigraphic models in alluvial basins.Broader ImpactsUsing the stratigraphic record to understand the evolution of river and delta environments will improve our ability to manage natural resources and forecast the response of deltas to climate change. In an effort to increase public understanding about how sediment is transported through river deltas and how these deltas evolve through time PIs will hold short courses at Tulane University?s Sediment Dynamics Laboratory for high school students and teachers. These courses will be developed in collaboration with Abramson Science & Technology Charter School in New Orleans, which was founded after Hurricane Katrina to improve the science and math education of underprivileged communities in New Orleans. During these interactive courses students will build an experimental delta and explore its reaction to changing environmental conditions, including rising sea level. The faculty, graduate students, and undergraduates working on this research project will facilitate these classes. Additionally, funding for this project will support two PhD students and several undergraduate researchers and will help two early career faculty establish successful research programs.