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

Collaborative Research: Statistical Methods for Quantifying Autogenic Processes in Sedimentary Basins
合作研究:量化沉积盆地自生过程的统计方法
批准号:
1024710
负责人:
Elizabeth Hajek
金额:
$16.11万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-03-01 至 2015-02-28

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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.
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Collaborative Research: Community tools for automated paleoenvironmental interpretation from sedimentary field data
Collaborative Research: Reconstructing paleo-sediment flux from river deposits: toward quantifying sediment discharge from bedform to basin scale
CAREER: Ancient river and floodplain dynamics: a research and education plan for improving paleoenvironmental reconstructions and stratigraphic prediction
Workshop: MYRES V - The Sedimentary Record of Landscape Dynamics
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)