课题基金 / 基金详情

Quantifying the coevolution of bedload transport and bed topography in mountain rivers: field and flume experiments using smartrocks

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
负责人:
Joel Johnson
金额:
$32.23万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-15 至 2016-08-31

项目摘要

项目成果

Joel Johnson的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Quantifying the coevolution of bedload transport and bed topography in mountain rivers: Field and flume experiments using smartrocksThe bottom of most steep mountain rivers is composed of coarse sediment (gravel to boulders), and the morphology (slope, width, depth, sediment size distribution, surface roughness) of a given channel develops over time due to size-dependent sediment transport and sorting. Conversely, transport rates of both water and sediment are controlled (in part) by channel morphology. The overall goal of this project is to better understand key feedbacks among sediment size, sediment transport rate and channel bed topography, in order to more accurately predict all these factors in natural rivers. A field experiment in river bed evolution will be conducted in which part of a mountain river channel (Reynolds Creek Experimental Watershed, Idaho) is modified using construction equipment. Starting from this artificially smoothed and straightened channel reach, the coevolution of bed topography and bedload transport rate will be measured over time. Complementary experiments will be conducted in laboratory flumes (artificial rivers in which variables can be precisely controlled). Hypotheses will be evaluated using unique data sets collected in both the field and laboratory by applying new and developing technologies. Methods include custom "smartrocks" (gravel and cobbles embedded with accelerometers) and clast tracking using radio frequency identification (RFID) tags. Channel bed morphology will be measured over length scales from centimeters to kilometers by combining airborne and ground-based laser topography surveys (LiDAR).Understanding river bed topography and bedload transport has many practical applications with broad significance to society. Mountain rivers are economically important (for example, cattle ranching takes place along one of the field sites at Reynolds Creek). Predicting how a river will respond to a flood of a given size depends on understanding channel stability, which in turn depends on the channel feedbacks being studied. River restoration efforts require a stronger scientific grounding to be able to engineer channels that will be stable over a given range of floods. Dam removal planning depends strongly on predicting channel feedbacks that occur while river discharge, sediment transport rate and channel morphology are all rapidly changing. In many rivers, transported sediment is also regulated as a pollutant, and better predictions of transport rates are critical for scientifically informed land-management decisions. Finally, the bed topographies of engineered and natural river channels form specific ecological niches, such as for spawning salmon that are sensitive to sediment sizes on the channel bottom.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: SWIFT: Facilitating Novel Modalities for Spectrum Sharing between Earth-Observing Microwave Radiometers and Commercial Users
  • 批准号:
    2229103
  • 项目类别:
    Standard Grant
  • 资助金额:
    $37.5万
  • 财政年份:
    2023
  • 负责人:
    Joel Johnson
  • 依托单位:
Monitoring Sea Ice Evolution with Ultrawideband Microwave Radiometry in the MoSAIC Campaign
  • 批准号:
    1838401
  • 项目类别:
    Standard Grant
  • 资助金额:
    $52.6万
  • 财政年份:
    2019
  • 负责人:
    Joel Johnson
  • 依托单位:
Collaborative Research: Reading lithology from topography: How rock properties influence landscape form and evolution in the Guadalupe Mountains, TX and NM
  • 批准号:
    1918351
  • 项目类别:
    Standard Grant
  • 资助金额:
    $31.97万
  • 财政年份:
    2019
  • 负责人:
    Joel Johnson
  • 依托单位:
Achieving Efficient Spectrum Usage in Active and Passive Sensing Through a Market-Based Approach
  • 批准号:
    1247840
  • 项目类别:
    Standard Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2012
  • 负责人:
    Joel Johnson
  • 依托单位:
国内基金
海外基金
多盘科单殖吸虫宿主特异性及其与无尾两栖类宿主协同进化关系研究
  • 批准号:
    30960049
  • 项目类别:
    地区科学基金项目
  • 资助金额:
    23.0万元
  • 批准年份:
    2009
  • 负责人:
    范丽仙
  • 依托单位: