| 项目编号: | 1520825
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| 项目名称: | Hazards SEES: Advanced Lagrangian Methods for Prediction, Mitigation and Response to Environmental Flow Hazards |
| 作者: | Thomas Peacock
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| 承担单位: | Massachusetts Institute of Technology
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| 批准年: | 2014
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| 开始日期: | 2015-09-01
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| 结束日期: | 2019-08-31
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| 资助金额: | USD2811000
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| 资助来源: | US-NSF
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| 项目类别: | Continuing grant
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| 国家: | US
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| 语种: | 英语
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| 特色学科分类: | Geosciences - Atmospheric and Geospace Sciences
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| 英文关键词: | hazardous material
; hazard
; lcs method
; emergency response
; lagrangian coherent structure
; unsteady lagrangian flow transport
; mathematical method
; environmental flow disaster
; regional flow-based hazard
; project
; accurate prediction
; effective response
; lagrangian method
; environmental flow predictive capability
; untold environmental damage
; complex environmental flow
; lcs methodology
; cutting-edge lagrangian method
|
| 英文摘要: | Environmental flow disasters occur when hazardous material is released and dispersed into the environment by the natural processes of air and water. Recent catastrophic examples include: the spread of oil during the Deep Water Horizon disaster, the passage of the ash cloud from the Eyjafjallajokull volcano through commercial air space, and the trail of radioactive waste from the Fukushima reactor disaster. These types of hazards are common and many have profound impacts on society. When hazardous material is released, accurate predictions of where the material is likely to go can greatly improve emergency response and significantly reduce negative consequences. Preparedness and effective response can save many lives, untold environmental damage and enormous financial cost. However, predicting where materials go in complex environmental flows remains a formidable scientific challenge.
This project intends to transform science's environmental flow predictive capabilities by exploiting and advancing recent fundamental breakthroughs in four-dimensional (3D+time) Lagrangian methods. This research will integrate theoretical, computational, and observational approaches to develop and utilize cutting-edge Lagrangian methods with data driven modeling for the purpose of uncovering, quantifying and predicting key transport processes and structures during regional flow-based hazards in the ocean and atmosphere. This project will (i) exploit and advance mathematical methods for four-dimensional (3D+time) Lagrangian Coherent Structures (LCS) in order to elucidate unsteady Lagrangian flow transport; (ii) test and develop LCS methods on historical data sets; (iii) produce efficient, accurate, distributed and web-based software to support LCS analysis and visualization; (iv) integrate LCS methodology into numerical models and non-Gaussian data assimilation; (v) perform field testing and a proof-of-concept, coupled ocean-atmosphere field experiment; and (vi) respond to a hazard of opportunity during the tenure of the project. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/93513
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| Appears in Collections: | 影响、适应和脆弱性
气候减缓与适应
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| Recommended Citation: | |
Thomas Peacock. Hazards SEES: Advanced Lagrangian Methods for Prediction, Mitigation and Response to Environmental Flow Hazards. 2014-01-01.
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