Collaborative Research: Linking loess landforms and eolian processes

合作研究:黄土地貌与风成过程的联系

基本信息

  • 批准号:
    0921838
  • 负责人:
  • 金额:
    $ 4.57万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2009
  • 资助国家:
    美国
  • 起止时间:
    2009-07-01 至 2011-12-31
  • 项目状态:
    已结题

项目摘要

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). This project will investigate the origin of large, striking landforms that occur in areas of thick loess (sediment formed by deposition of wind-blown dust), in North America, northern China, and central Europe. These landforms may extend for tens of kilometers and are aligned with prevailing winds, and they are especially well-developed in Nebraska, USA, where the research will be conducted. Two hypotheses on loess landform development will be tested, each of which makes distinctly different assumptions about the stability of dust after its initial deposition. One hypothesis assumes that settled dust will not be remobilized unless it is disturbed by wind-blown sand moving by saltation (short hops near the ground surface). The other hypothesis assumes that the coarse-grained dust forming most thick loess deposits is readily remobilized by the wind, and many loess landforms are formed by erosion after initial accumulation. The potential for loess deposits to be set in motion by the wind, with or without saltating sand, will be investigated using the recently developed Portable In Situ Wind Erosion Laboratory (PI-SWERL). In addition, the two hypotheses lead to different predictions about the spatial patterns of loess grain size and deposition rate, and how these properties would have changed over time. These predictions will be refined through quantitative modeling of dust transportation by wind, and will then be tested using grain size analysis and optically stimulated luminescence (OSL) dating of loess sections, which directly determines the time since the loess was originally deposited. This project will provide new insight on where and how loess deposits can become sources of dust in response to climatic or land-use change. If the second hypothesis is valid, for example, past wind erosion of loess was sufficient to carve out large landforms, potentially producing enormous quantities of dust. Dust is a common environmental hazard today in some areas of thick loess such as northern China, and was a hazard in the Great Plains in the 1930s and 1950s, but historical observations probably do not represent the full range of potential wind erosion and dust production. Thick loess deposits are also an important source of information on past climate change, over thousands to millions of years. The results of this project should allow a better assessment of climate factors, by documenting the complex processes that influence the deposition and long-term stability of loess.
该奖项是根据2009年美国复苏和再投资法案(公法111-5)资助的。该项目将调查北美、北方中国和中欧厚黄土(由风吹尘埃沉积而成的沉积物)地区的大型、引人注目的地貌的起源。这些地貌可能延伸数十公里,并与盛行风保持一致,在美国内布拉斯加州特别发达,研究将在那里进行。本文将检验两种关于黄土地貌发育的假说,每一种假说都对沙尘在初始沉降后的稳定性作出了明显不同的假设。一种假说认为,除非被风吹来的沙粒通过跃移(在地面附近的短距离跳跃)移动,否则沉降的尘埃不会被重新移动。另一种假说认为,形成大多数厚黄土沉积物的粗粒灰尘很容易被风重新移动,许多黄土地貌是在初始积累后通过侵蚀形成的。利用最近开发的便携式原位风蚀实验室(PI-SWERL),将对黄土沉积物在风的作用下(有或没有跃移的沙子)的可能性进行研究。此外,这两种假设导致不同的预测黄土粒度和沉积速率的空间格局,以及这些属性将如何随着时间的推移而变化。这些预测将通过风的尘埃运输的定量模型进行改进,然后将使用黄土剖面的粒度分析和光释光(OSL)测年进行测试,这直接确定了黄土最初沉积的时间。该项目将提供关于黄土沉积物在哪里以及如何成为气候或土地使用变化的灰尘来源的新见解。如果第二个假设是正确的,例如,过去黄土的风蚀足以雕刻出大片的地貌,可能产生大量的灰尘。在中国北方等厚黄土地区,沙尘是一种常见的环境危害,在20世纪30年代和50年代的大平原也是一种危害,但历史观测可能并不代表潜在的风蚀和沙尘产生的全部范围。厚的黄土沉积物也是过去气候变化的重要信息来源,在数千年到数百万年之间。通过记录影响黄土沉积和长期稳定性的复杂过程,该项目的结果应能更好地评估气候因素。

项目成果

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Paul Hanson其他文献

Spectral measure of color variation of black - orange - black (BOB) pattern in small parasitic wasps (Hymenoptera: Scelionidae), a statistical approach
小寄生蜂(膜翅目:Scelionidae)黑-橙-黑(BOB)图案颜色变化的光谱测量,一种统计方法
  • DOI:
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Rebeca Mora;M. Hernández;Marcela Alfaro;Esteban Avendaño;Paul Hanson
  • 通讯作者:
    Paul Hanson
A survey of homopteran species (Auchenorrhyncha) from coffee shrubs and poró and laurel trees in shaded coffee plantations, in Turrialba, Costa Rica.
对哥斯达黎加图里亚尔巴遮荫咖啡种植园的咖啡灌木、波罗树和月桂树中的同翅目物种(Aucheno rhyncha)进行的调查。
  • DOI:
  • 发表时间:
    2001
  • 期刊:
  • 影响因子:
    0.6
  • 作者:
    Liliana Rojas;Carolina Godoy;Paul Hanson;L. Hilje
  • 通讯作者:
    L. Hilje
A global review and network analysis of phytophagous insect interactions with ferns and lycophytes
植食性昆虫与蕨类植物和石松植物相互作用的全球回顾和网络分析
  • DOI:
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    1.7
  • 作者:
    Luis Javier Fuentes;Paul Hanson;V. Hernández‐Ortiz;C. Díaz‐Castelazo;K. Mehltreter
  • 通讯作者:
    K. Mehltreter
Effects of experimental host‐plant switching on the life cycle of a fern spore‐feeding micromoth of the genus Stathmopoda
实验寄主植物转换对以蕨类孢子为食的小蛾属小蛾生命周期的影响
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    1.9
  • 作者:
    Luis Javier Fuentes;Paul Hanson;K. Mehltreter;C. Díaz‐Castelazo;V. Hernández‐Ortiz
  • 通讯作者:
    V. Hernández‐Ortiz
The Mediating Role of Expected Grade on Gendered Teaching Style Biases in Teacher Evaluations
期望成绩对教师评价中性别教学风格偏差的中介作用
  • DOI:
    10.2466/03.11.it.1.1
  • 发表时间:
    2012
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Niwako Yamawaki;Adriane Queiroz;Paul Hanson
  • 通讯作者:
    Paul Hanson

Paul Hanson的其他文献

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{{ truncateString('Paul Hanson', 18)}}的其他基金

Collaborative Research: MRA: Advancing process understanding of lake water quality to macrosystem scales with knowledge-guided machine learning
合作研究:MRA:通过知识引导的机器学习将湖泊水质的过程理解推进到宏观系统尺度
  • 批准号:
    2213549
  • 财政年份:
    2022
  • 资助金额:
    $ 4.57万
  • 项目类别:
    Standard Grant
Collaborative Research: The Environmental Data Initiative - long-term availability of research data
协作研究:环境数据倡议 - 研究数据的长期可用性
  • 批准号:
    2223103
  • 财政年份:
    2022
  • 资助金额:
    $ 4.57万
  • 项目类别:
    Standard Grant
Collaborative Research: Environmental Data Initiative: Sustaining the Legacy of Scientific Data
合作研究:环境数据倡议:维持科学数据的遗产
  • 批准号:
    1931174
  • 财政年份:
    2019
  • 资助金额:
    $ 4.57万
  • 项目类别:
    Standard Grant
Collaborative Research: Knowledge Guided Machine Learning: A Framework for Accelerating Scientific Discovery
协作研究:知识引导机器学习:加速科学发现的框架
  • 批准号:
    1934633
  • 财政年份:
    2019
  • 资助金额:
    $ 4.57万
  • 项目类别:
    Continuing Grant
Collaborative Research: Consequences of changing oxygen availability for carbon cycling in freshwater ecosystems
合作研究:改变淡水生态系统中碳循环的氧气可用性的后果
  • 批准号:
    1753657
  • 财政年份:
    2018
  • 资助金额:
    $ 4.57万
  • 项目类别:
    Standard Grant
Collaborative Research: Building Analytical, Synthesis, and Human Network Skills Needed for Macrosystem Science: a Next Generation Graduate Student Training Model Based on GLEON
协作研究:构建宏观系统科学所需的分析、综合和人际网络技能:基于 GLEON 的下一代研究生培养模型
  • 批准号:
    1137353
  • 财政年份:
    2012
  • 资助金额:
    $ 4.57万
  • 项目类别:
    Standard Grant
REU Site: Collaborative Research: Dune Undergraduate Geomorphology and Geochronology (DUGG) Project in Wisconsin
REU 网站:合作研究:威斯康星州沙丘本科地貌学和地质年代学 (DUGG) 项目
  • 批准号:
    0850525
  • 财政年份:
    2009
  • 资助金额:
    $ 4.57万
  • 项目类别:
    Standard Grant
CDI-Type II: Collaborative Research: New knowledge from the Global Lake Ecological Observatory Network (GLEON)
CDI-Type II:协作研究:来自全球湖泊生态观测站网络(GLEON)的新知识
  • 批准号:
    0941510
  • 财政年份:
    2009
  • 资助金额:
    $ 4.57万
  • 项目类别:
    Standard Grant
Collaborative Research: The Significance of the Loess Mantle in Midwestern Soil Catena Evolution
合作研究:黄土幔在中西部土壤链演化中的意义
  • 批准号:
    0751911
  • 财政年份:
    2008
  • 资助金额:
    $ 4.57万
  • 项目类别:
    Continuing Grant
RCN: Advancing Lake Ecology by Building an International Community to Exploit Innovations in Sensor Network Technology
RCN:通过建立国际社区利用传感器网络技术创新来推进湖泊生态
  • 批准号:
    0639229
  • 财政年份:
    2007
  • 资助金额:
    $ 4.57万
  • 项目类别:
    Continuing Grant

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