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

合作研究：定量沉积盆地自生过程的统计方法Kyle Straub，Tulane University，CN-1024443 Elizabeth Hajek，Penn州立大学，CN-1024710摘要项目摘要古代沉积盆地是地球上过去气候、构造和陆地表面变化的档案。这些矿床还含有重要的能源和水资源，将成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。沉积系统中的内部生成（自生）动力学可以生成地层学，模拟由构造、气候和海平面变化产生的模式。需要统计方法来过滤沉积矿床中的自生信号，以便充分理解和模拟地层学。该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将绘制和测量由不同大小和特征撕脱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，分离保存的古沉积物中环境条件变化的信号，并在冲积盆地中生成预测性地层模型。更广泛的影响使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响应的能力。为了增加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着时间的推移而演变的理解，PI将在杜兰大学举办短期课程？的沉积动力学实验室的高中学生和教师。这些课程将与新奥尔良的艾布拉姆森科学技术特许学校合作开发，该学校是在卡特里娜飓风后成立的，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三角洲，并探索其对不断变化的环境条件的反应，包括海平面上升。从事这项研究项目的教师，研究生和本科生将促进这些课程。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计划。

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.