globalchange  > 影响、适应和脆弱性
项目编号: 1351411
项目名称:
CAREER: Unraveling the Spatial Structure of Turbulence in the Atmospheric Boundary Layer using Unmanned Aerial Vehicles
作者: Sean Bailey
承担单位: University of Kentucky Research Foundation
批准年: 2013
开始日期: 2014-05-01
结束日期: 2019-04-30
资助金额: USD419734
资助来源: US-NSF
项目类别: Standard Grant
国家: US
语种: 英语
特色学科分类: Engineering - Chemical, Bioengineering, Environmental, and Transport Systems
英文关键词: structure ; flow structure ; abl ; undergraduate student ; atmospheric boundary layer ; proposal ; career educational activity ; turbulence research ; boundary layer uav experiment ; unmanned aerial vehicles ; atmospheric turbulence ; atmospheric layer ; high school student
英文摘要: PI: Bailey, Sean
Proposal Number: 1351411

The focus of this proposal is to explore and model the structure of the atmospheric boundary layer (ABL) using instrumentation mounted on Unmanned Aerial Vehicles. The scientific goals are to directly observe the hierarchy of length and time scales in flow structures (eddies) within the ABL, develop a predictive framework for these eddies, and understand how the dynamics of these structures contribute to transport processes within the ABL.

Intellectual Merit:
The intellectual merit of the proposed work rests on resolving a wide range of spatial scales within one of the most challenging flows in turbulence research - the ABL. These measurements, using a combination of experimental tools and analysis techniques, will fill a void in traditional ABL research capabilities and create new understanding of the ABL organization and of the effects of the flow structures on transport processes, such as pollutant dispersion, heat and temperature fluctuations in the atmosphere. The knowledge generated by these experiments will lead to (a) the development of a framework of the hierarchy of the flow structures which form in the ABL; (b) the characterization of the effects of the terrain on the behavior of these structures; and (c) the understanding of how the dynamics of these structures contribute to transport processes within the atmospheric boundary layer.

Broader Impacts:

Our climate, agriculture, and commerce are affected by the turbulence within the atmospheric layer closest to the earth surface, and this proposal's goal to decipher the chaotic dynamics of this layer has both fundamental and practical importance. Better understanding in this scientific area can lead to improvements in modeling weather and climate patterns, energy recovery in wind farms or tracking pollutants in the atmosphere. Graduate, undergraduate and high school students will participate in this project.
The educational and outreach plan of this proposal leverages the popular appeal of drones (UAVs) to pursue recruiting high school students into STEM programs, motivate undergraduate students to enroll in graduate programs, and retain undergraduate students within engineering programs. Specifically, the PI is a co-organizer of the Kentucky Institute for Aerospace Education (KIAE) since 2010, and he will leverage his CAREER educational activities with KIAE to expand the wing design competition to include hands-on learning exercises for the KIAE high school students at the University of Kentucky. For undergraduate students, he is planning the development of Boundary Layer UAV Experiment for the Characterization of Atmospheric Turbulence (BLUECAT) team design, in which undergraduate students will become active with his research..
资源类型: 项目
标识符: http://119.78.100.158/handle/2HF3EXSE/96949
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

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Recommended Citation:
Sean Bailey. CAREER: Unraveling the Spatial Structure of Turbulence in the Atmospheric Boundary Layer using Unmanned Aerial Vehicles. 2013-01-01.
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