课题基金 / 基金详情

Sampling and inversion methods for quantifying effect of incomplete subsurface characterization on uncertainty associated with recovery of contamination history.

Sampling and inversion methods for quantifying effect of incomplete subsurface characterization on uncertainty associated with recovery of contamination history.
用于量化不完整的地下表征对与污染历史恢复相关的不确定性的影响的采样和反演方法。
批准号:
0607002
负责人:
Anna Michalak
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-09-01 至 2009-08-31

项目摘要

项目成果

Anna Michalak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
0607002MichalakThis project will employ inverse modeling to trace contaminants in groundwater to the source of the contamination. Three methods will be developed to incorporate uncertainties in transport parameters into the modeling: Monte Carlo simulation, small perturbation approximation, and co-kriging. Results of these three methods will be tested with field data and hypothetical applications at Dover Air Force Base, Delaware, and Gloucester Landfill, Canada. The results of this research also will be used to develop guidelines to determine the extent to which the history of contamination can be quantified given uncertainties associated with transport parameters. Development of capabilities to trace contaminants to their source will contribute to the identification of responsible parties and could lead to improved practices that correct such problems.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
WSC-Category 2: Extreme events impacts on water quality in the Great Lakes: Prediction and management of nutrient loading in a changing climate
  • 批准号:
    1313897
  • 项目类别:
    Standard Grant
  • 资助金额:
    $437.73万
  • 财政年份:
    2012
  • 负责人:
    Anna Michalak
  • 依托单位:
SI2-SSI: REAL-TIME LARGE-SCALE PARALLEL INTELLIGENT CO2 DATA ASSIMILATION SYSTEM
  • 批准号:
    1342076
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $166.74万
  • 财政年份:
    2012
  • 负责人:
    Anna Michalak
  • 依托单位:
WSC-Category 2: Extreme events impacts on water quality in the Great Lakes: Prediction and management of nutrient loading in a changing climate
SI2-SSI: REAL-TIME LARGE-SCALE PARALLEL INTELLIGENT CO2 DATA ASSIMILATION SYSTEM
国内基金
海外基金
双星中性原子探测图像在地磁暴期间的时序演化过程反演分析