Collaborative Research: Reading lithology from topography: How rock properties influence landscape form and evolution in the Guadalupe Mountains, TX and NM

合作研究:从地形中解读岩性:岩石特性如何影响德克萨斯州和新墨西哥州瓜达卢佩山脉的景观形态和演化

基本信息

  • 批准号:
    1918351
  • 负责人:
  • 金额:
    $ 31.97万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-09-01 至 2024-08-31
  • 项目状态:
    已结题

项目摘要

The shape of landscapes partly depends on the physical properties of the bedrock that underlies them (e.g., how strong different rock types are in different places, how fractured the rocks are, and how easily particular rocks break down to make soil and sediment, also known as weathering). It should be possible to "read" rock properties from landscape form (topography), but we currently lack a quantitative relationship that can be used practically. For example, the likelihood of landslides depends on rock and soil properties. Past tectonic activity and the potential for future earthquakes along faults can also potentially be inferred from topography, but the effects of tectonics must be isolated from rock property controls on landscape form. Predicting land surface properties would also be beneficial for planning access to remote areas following natural disasters or during human conflicts. The researchers will develop teaching modules based on the Guadalupe Mountains to use in a dual enrollment (i.e., college credit for high school students) geoscience course taught through UT Austin that provides college credit to high school students across Texas. High school geoscience and environmental science teachers will be trained through intensive and fun field workshops to be taught in the Guadalupe Mountains.This project uses the Guadalupe Mountains in Texas and New Mexico as a natural laboratory to understand how rock properties can be inferred from topography. In addition to (a) using geographic information system analysis to relate meter-scale topographic data and digital geology maps, the researchers will also (b) make extensive field measurements of rock properties across this landscape, (c) determine long-term bedrock erosion rates by measuring cosmogenic radionuclide concentrations from rock samples, and (d) evaluate open-source computer models that predict how landscapes will evolve through time, and improve these models to better incorporate rock properties into their equations.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.
景观的形状部分取决于它们下面的基岩的物理性质(例如,不同的岩石类型在不同的地方有多坚固,岩石有多破碎,以及特定的岩石有多容易分解成土壤和沉积物,也称为风化)。从地貌形态(地形)中“读取”岩石属性应该是可能的,但我们目前缺乏一种可实际使用的定量关系。例如,滑坡的可能性取决于岩石和土壤的性质。过去的构造活动和潜在的未来地震沿着断层也可以从地形推断,但构造的影响必须从岩石属性控制景观形式。预测地表特性也将有利于规划自然灾害后或人类冲突期间进入偏远地区的机会。研究人员将开发基于瓜达卢佩山脉的教学模块,用于双招生(即,为高中生提供大学学分)通过德州大学奥斯汀分校教授的地球科学课程,为德克萨斯州的高中生提供大学学分。 高中地球科学和环境科学教师将通过密集和有趣的实地讲习班接受培训,讲习班将在瓜达卢佩山脉授课。该项目将德克萨斯州和新墨西哥州的瓜达卢佩山脉作为天然实验室,以了解如何从地形推断岩石性质。除了(a)使用地理信息系统分析将米级地形数据和数字地质图联系起来之外,研究人员还将(B)对整个景观的岩石特性进行广泛的实地测量,(c)通过测量岩石样本中的宇宙成因放射性核素浓度来确定长期基岩侵蚀率,以及(d)评估预测景观如何随时间演变的开源计算机模型,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知识价值和更广泛的影响审查标准进行评估来支持。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Building a bimodal landscape: bedrock lithology and bed thickness controls on the morphology of Last Chance Canyon, New Mexico, USA
构建双峰景观:美国新墨西哥州最后机会峡谷形态的基岩岩性和床厚控制
  • DOI:
    10.5194/esurf-11-995-2023
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    Anderson, Sam;Gasparini, Nicole;Johnson, Joel
  • 通讯作者:
    Johnson, Joel
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Joel Johnson其他文献

Paranoid delusions and cognitive impairment suggesting Fahr's disease.
偏执妄想和认知障碍提示法赫尔病。
  • DOI:
  • 发表时间:
    2005
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    Shamim Shakibai;Joel Johnson;J. Bourgeois
  • 通讯作者:
    J. Bourgeois
A 'KEYSTONE' PROJECT
  • DOI:
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Joel Johnson
  • 通讯作者:
    Joel Johnson
The Mars Science Laboratory Organic Check Material
火星科学实验室有机检查材料
  • DOI:
    10.1007/s11214-012-9893-1
  • 发表时间:
    2012
  • 期刊:
  • 影响因子:
    10.3
  • 作者:
    P. Conrad;J. Eigenbrode;M. V. D. Heydt;C. Mogensen;J. Canham;D. Harpold;Joel Johnson;T. Errigo;D. Glavin;P. Mahaffy
  • 通讯作者:
    P. Mahaffy
Quantification and distribution of a <em>Tetragonula carbonaria</em> swarm (Hymenoptera: Apidae)
  • DOI:
    10.1016/j.aspen.2020.03.004
  • 发表时间:
    2020-06-01
  • 期刊:
  • 影响因子:
  • 作者:
    Joel Johnson
  • 通讯作者:
    Joel Johnson
The Distributional Effects of Recent Changes to Maine’s Tax System
缅因州税收制度近期变化的分配效应
  • DOI:
    10.53558/kpiw1476
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Joel Johnson
  • 通讯作者:
    Joel Johnson

Joel Johnson的其他文献

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{{ truncateString('Joel Johnson', 18)}}的其他基金

Collaborative Research: SWIFT: Facilitating Novel Modalities for Spectrum Sharing between Earth-Observing Microwave Radiometers and Commercial Users
合作研究:SWIFT:促进地球观测微波辐射计和商业用户之间频谱共享的新模式
  • 批准号:
    2229103
  • 财政年份:
    2023
  • 资助金额:
    $ 31.97万
  • 项目类别:
    Standard Grant
Monitoring Sea Ice Evolution with Ultrawideband Microwave Radiometry in the MoSAIC Campaign
在 MoSAIC 活动中利用超宽带微波辐射测量监测海冰演变
  • 批准号:
    1838401
  • 财政年份:
    2019
  • 资助金额:
    $ 31.97万
  • 项目类别:
    Standard Grant
Achieving Efficient Spectrum Usage in Active and Passive Sensing Through a Market-Based Approach
通过基于市场的方法实现主动和被动传感中的频谱高效利用
  • 批准号:
    1247840
  • 财政年份:
    2012
  • 资助金额:
    $ 31.97万
  • 项目类别:
    Standard Grant
Quantifying the coevolution of bedload transport and bed topography in mountain rivers: field and flume experiments using smartrocks
量化山区河流底质输送和河床地形的协同演化:使用 smartrocks 进行现场和水槽实验
  • 批准号:
    1053508
  • 财政年份:
    2011
  • 资助金额:
    $ 31.97万
  • 项目类别:
    Standard Grant
Collaborative Research: Modeling and monitoring of landscape evolution along a climate gradient: Kohala Peninsula, Hawaii
合作研究:沿气候梯度模拟和监测景观演化:夏威夷科哈拉半岛
  • 批准号:
    1024982
  • 财政年份:
    2010
  • 资助金额:
    $ 31.97万
  • 项目类别:
    Continuing Grant
CAREER: Surface Scattering Effects in Mine Detection and Remote Sensing Systems
职业:地雷探测和遥感系统中的表面散射效应
  • 批准号:
    9701678
  • 财政年份:
    1997
  • 资助金额:
    $ 31.97万
  • 项目类别:
    Standard Grant

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合作研究:SaTC:核心:媒介:Bubble Aid:辅助人工智能提高阅读手写选票的稳健性和安全性
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合作研究:从地形中解读岩性:岩石特性如何影响德克萨斯州和新墨西哥州瓜达卢佩山脉的景观形态和演化
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