GEMT: Collaborative research: From grain to rock and back again: Elucidating the coordinated evolution of exhumation pathways, rock strength and topography in the Taiwanese orogen

GEMT：合作研究：从颗粒到岩石再返回：阐明台湾造山带折返路径、岩石强度和地形的协调演化

基本信息

批准号：
1933203
负责人：
Roman DiBiase
金额：
$ 47.19万
依托单位：
Pennsylvania State Univ University Park
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-04-01 至 2025-03-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1933203&HistoricalAwards=false
关键词：
GEMT Collaborative research grain rock

项目摘要

Topography influences stress in the Earth’s crust and the pattern of deformation that arises during mountain building. Because the material properties of rocks near the surface of the Earth depend on their burial and exhumation history, in collisional mountain belts feedbacks may exist between the burial history of rocks in the subsurface, their strength at the surface, and topography. However, few field data exist to evaluate the strength of such feedbacks between surface and deep-Earth processes. This project will address this knowledge gap by quantifying the tectonic origin and geomorphic implications of variations in rock material properties across the Taiwan Central Range. In addition, this project will facilitate international collaboration between US and Taiwanese scientists through paired field expeditions and a student exchange program, leveraging new and existing research collaborations.To explore relationships among burial and exhumation history, rock strength, and topography, this project will collect and integrate a paired dataset of structural and geomorphic observations. Existing and new measurements of erosion rates and thermal and deformation history will constrain patterns in burial and exhumation. Field surveys of river corridors assisted by small unmanned aerial vehicles will facilitate characterization of how rock properties influence river incision and hillslope-channel coupling at high resolution (centimeter-scale) and large spatial extent (kilometer-scale). Repeat surveys will enable high-resolution analysis of river response to individual storms. Data from this project will serve as a baseline for quantifying landscape response to future extreme events and help to address hazards associated with landslides, floods, and sedimentation.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.

地形影响地壳中的应力以及造山过程中产生的变形模式，因为地球表面附近岩石的材料特性取决于它们的埋藏和折返历史，因此在碰撞山带中，埋藏历史之间可能存在反馈。然而，很少有现场数据可以评估地表和地球深层过程之间的这种反馈的强度，该项目将通过量化构造起源来解决这一知识差距。此外，该项目将通过配对实地考察和学生交流计划，利用新的和现有的研究合作，促进美国和台湾科学家之间的国际合作。埋藏和折返历史、岩石强度和地形，该项目将收集和整合结构和地貌观测的配对数据集，现有和新的侵蚀率以及热和变形历史测量将限制河流埋藏和折返现场调查的模式。由小型无人机辅助的走廊将有助于在高分辨率（厘米级）和大空间范围（公里级）下描述岩石特性如何影响河流切割和山坡-河道耦合，重复调查将使河流的高分辨率分析成为可能。该项目的数据将作为量化景观对未来极端事件响应的基线，并有助于解决与山体滑坡、洪水和沉积相关的危害。该奖项是 NSF 的法定使命，并已被视为值得通过使用基金会的智力优点和更广泛的影响审查标准进行评估来支持。