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RAPID: Seamless Marine-wetlands-coastal Soils Database to Support Urgent Decision-making Against the Deepwater Horizon Coastal Oiling

RAPID: Seamless Marine-wetlands-coastal Soils Database to Support Urgent Decision-making Against the Deepwater Horizon Coastal Oiling
RAPID:无缝海洋-湿地-沿海土壤数据库,支持针对深水地平线沿海石油开采的紧急决策
批准号:
1047776
负责人:
Christopher Jenkins
金额:
$8.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-08-15 至 2011-07-31

项目摘要

项目成果

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中文摘要
翻译
几年来,PI一直在开发一个数据系统,可以代表土壤的“基质,沉积物”的海岸边缘。 在过去的几年里,他们一直在设计这些问题的解决方案:(a)将大型海洋土壤数据库扩展到澳大利亚内陆的陆上景观,(B)研究密西西比三角洲地区的地质/生态变化,(c)在数字和语言数据的共同映射(异质数据问题)方面进行创新。沿海地区人口稠密,投资遍布全球。该项目将开辟一条道路,以更好地描述和理解的地质材料和环境模式在大面积的区域。特别是,更好地提供数据将改善规划和数值模型性能的基础上改进的投入和扩大的机会进行验证。 关于深水地平线灾难,该项目将立即提供更好的信息,重点关注并支持清理和补救工作。该项目将加强清理决策支持系统和数值模型,并将提供一个新的数据来源,与相关的研究方的科学测绘和实验工作。
英文摘要
For several years, the PIs have been developing a data system which can represent the soils "substrates, sediments" of the coastal fringe. They have been devising solutions to these problems over the last several years by: (a) extending a large marine soils database to onshore landscapes in the Australian outback, (b) researching the geologic/ecologic changes in the Mississippi delta region, (c) innovating in making numerical and linguistic data co-mappable (the heterogenous data problem). The coastal zone is heavily populated and invested in worldwide. This project will open the way to a better depiction and understanding of the geomaterial and environmental patterns over large expanses of the zone. In particular, better availability of data will improve planning and numerical model performance based on improved inputs and extended opportunities for validations. In regard to the Deepwater Horizon disaster this project will immediately provide better information focussed on and supporting the cleanup and remediation efforts. The project will strengthen the cleanup decision support systems and numerical models, and will provide a new source of data to work with the associated research-side scientific mapping and experimental work.
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C1F21 DIBBS: Porting Practical Natural Language Processing (NLP) and Machine Learning (ML) Semantics from Biomedicine to the Earth, Ice and Life Sciences
  • 批准号:
    1443085
  • 项目类别:
    Standard Grant
  • 资助金额:
    $149.78万
  • 财政年份:
    2014
  • 负责人:
    Christopher Jenkins
  • 依托单位:
EAGER Collaborative Research: Bringing Together Computational and Linguistic Methods to Extract 'Dark' Geosciences Data for the EarthCube Framework
  • 批准号:
    1242909
  • 项目类别:
    Standard Grant
  • 资助金额:
    $6.95万
  • 财政年份:
    2012
  • 负责人:
    Christopher Jenkins
  • 依托单位:
Collaborative Research: Population Ecology Models for Carbonate Sediments
  • 批准号:
    1118297
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.57万
  • 财政年份:
    2011
  • 负责人:
    Christopher Jenkins
  • 依托单位:
Collaborative Research: CoreWall--Integrated Environment for Interpretation of Geoscientific Data from Sediment and Crystalline Cores
  • 批准号:
    0601978
  • 项目类别:
    Standard Grant
  • 资助金额:
    $4.09万
  • 财政年份:
    2006
  • 负责人:
    Christopher Jenkins
  • 依托单位:
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