Collaborative Research: TESPRESSO: Tectonic Encoding, Shredding, and PRopagation of Environmental Signals as Surface Observables

沉积物和沉积岩记录了山脉是如何形成的，何时气候变化，海平面如何波动，以及侵蚀，移动和存款沉积物的过程。 这些信息可以帮助我们了解现代地球表面过程、自然灾害以及对可持续粮食和水资源至关重要的环境系统。研究这些过程的一个关键地点是西西里东北部的佩洛里塔尼山脉，由于频繁的大地震，那里的山脉正在迅速上升。山坡在地震和猛烈的暴风雨中很容易发生滑坡，将大量的沉积物送入河流。这些沉积物被运送到下游一个狭窄的，人口稠密的沿海地带，在那里它蔓延形成一个三角洲在海平面。该项目记录了三角洲沉积物沉积的事件，并使用计算机模型来解释成因过程。这项研究将更好地限制Peloritani山景观如何应对地震，气候，山体滑坡，山洪暴发和海平面变化。这项工作的结果将有助于向当地民众通报该地区的地质灾害。该项目为研究生、早期职业博士后研究人员提供支持，并为K-12水平的代表性不足的群体提供教育推广。该项目的重点是构建一个由沉积物产量和岩石磁性旋回地层数据提供信息的源到汇景观演化模型（LEM），以探索准周期和随机构造作用力如何编码、分解、传播、并保存在沉积物档案中。相对较小的流域面积（500平方公里），均匀的基岩，和已知的历史气候和基准面变化，研究区提供了一个无与伦比的自然实验，规模以及LEM探索地貌和沉积学的构造强迫在低源存储系统的反应。该项目测试了以下假设：从短地震周期到长长期隆起时间尺度上岩石隆起速率的变化（1）影响系统的响应时间和自生期，使两者都延长，（2）影响源的粒度和沉积物产量，而不依赖于周期性气候变化驱动的响应，并且是其独有的响应，以及（3）赋予独特的地层上超和下超几何形状，床的厚度，纹理，和岩石磁性的变化，在汇，不同于那些由周期性的气候强迫和准周期自生过程。该项目采用了一种建模策略，将源中的Landlab与汇中的Sedflux合并，以预测源沉积物通量的不稳定性以及由此产生的紧密相连的源-汇系统的盆地沉积结构。LEM预测是根据岩石地层学、岩石磁性旋回地层学、地球宇宙成因核素（TCN）确定的现代和古侵蚀速率以及光学发光确定的扇三角洲沉积物累积速率进行评估的。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。

Sediments and sedimentary rocks record how mountains are built, when climate changes, how sea level fluctuates, and the processes that erode, move, and deposit sediment. This information can inform our understanding of modern Earth surface processes, natural hazards, and environmental systems crucial to sustainable food and water resources. A key location to study these processes is in the Peloritani Mountains, northeastern Sicily, where the mountains are going up rapidly as a result of large and frequent earthquakes. Hillslopes are prone to landslides during both earthquakes and violent storms, sending large amounts of sediment into the rivers. This sediment is transported downstream to a narrow, densely-populated coastal strip, where it spreads out forming a delta at sea level. This project documents episodes of sediment deposition in the deltas and uses computer models to decipher the causative processes. This research will better constrain how the Peloritani Mountain landscape responds to earthquakes, climate, landslides, flash floods, and sea level variability. Results from this work will help inform the local populace on geologic hazards in the region. The project provides support for graduate students, early career post-doctoral researchers, and educational outreach to underrepresented groups at the K-12 level.This project focuses on the construction of a source to sink landscape evolution model (LEM) informed by sediment yield and rock-magnetic cyclostratigraphic data to explore how quasi-periodic and stochastic tectonic forcings are encoded, shredded, propagated, and preserved in sedimentary archives. With a relatively small drainage area ( 500 km2), uniform bedrock, and a known history of climate and base level variation, the study area offers an unparalleled natural experiment that scales well to a LEM exploring the geomorphic and sedimentologic responses to tectonic forcings in a system with low source storage. The project tests hypotheses that changes in rates of rock uplift on short earthquake cycles to long secular uplift time scales (1) impact the response time and the autogenic periods of the system, lengthening both, (2) impact the grain size and sediment yield of the source independent of, and unique to, responses driven by periodic climate change, and (3) impart unique stratal onlap and offlap geometries, bed thickness, textural, and rock-magnetic variations in the sink, distinct from those imparted by periodic climatic forcing and quasi-periodic autogenic processes. The project incorporates a modeling strategy that merges Landlab in the source to Sedflux in the sink in order to predict unsteadiness in the source sediment flux and the resulting basin depositional architecture for a tightly linked source-to-sink system. LEM predictions are evaluated against lithostratigraphy, rock-magnetic cyclostratigraphy, terrestrial cosmogenic nuclide (TCN)-determined modern and paleo-erosion rates, and sediment accumulation rates in fan deltas determined by optical luminescence.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.