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In-Situ Quantification of Chlorinated Hydrocarbon Mass Flux and Intrinsic Remediation Using Fiber Optic Biosensors

In-Situ Quantification of Chlorinated Hydrocarbon Mass Flux and Intrinsic Remediation Using Fiber Optic Biosensors
使用光纤生物传感器对氯化烃质量通量进行原位定量和内在修复
批准号:
0119972
负责人:
James Jawitz
金额:
$9.54万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-10-01 至 2002-01-31

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中文摘要
翻译
[01:19972 . jawitz]这个探索性项目将研究光纤传感器的发展,以实时测量地下水污染物质量通量和累积污染物特异性微生物活动。提出了一种新的、综合的基于质量通量的评估方法,以取代传统的基于浓度的评估方法。质量通量量化是评价通过内在(即自然衰减)或主动(例如泵和处理就地冲洗)手段进行补救的有效性所必需的。我们感兴趣的污染物是氯化烃,特别是三氯乙烯和四氯乙烯及其降解产物。污染物质量通量的量化在描述地下水污染对人类和环境的风险方面将特别有用。
英文摘要
0119972JawitzThis exploratory project will investigate the development of fiber optic sensors to measure groundwater contaminant mass fluxes and cumulative contaminant-specific microbial activity in-situ and real time. A novel, integrative mass-flux based assessment approach is proposed in preference to traditional concentration-based approaches. Mass flux quantification is necessary to evaluate the effectiveness of remediation, through either intrinsic (i.e., natural attenuation) or active (e.g., pump and treat of in situ flushing) means. The contaminants of interest are chlorinated hydrocarbons, specifically TCE and PCE and their degradation products. Quantification of contaminant mass flux will be especially useful in characterizing risks to humans and the environment from groundwater contamination.
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会议论文
EAR-Climate: Continental-Scale Determinants of Stream Solute Spatial and Temporal Patterns
  • 批准号:
    2129926
  • 项目类别:
    Standard Grant
  • 资助金额:
    $42.83万
  • 财政年份:
    2023
  • 负责人:
    James Jawitz
  • 依托单位:
In-Situ Quantification of Chlorinated Hydrocarbon Mass Flux and Intrinsic Remediation Using Fiber Optic Biosensors
  • 批准号:
    0296143
  • 项目类别:
    Standard Grant
  • 资助金额:
    $9.54万
  • 财政年份:
    2001
  • 负责人:
    James Jawitz
  • 依托单位:
国内基金
海外基金
Identification and quantification of primary phytoplankton functional types in the global oceans from hyperspectral ocean color remote sensing
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    160万元
  • 批准年份:
    2022
  • 负责人:
    李忠平
  • 依托单位: