| DOI: | 10.2172/973385
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| 报告号: | 06ER46265Final
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| 报告题名: | DOE-EPSCOR SPONSORED PROJECT FINAL REPORT |
| 作者: | Zhu, Jianting
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| 出版年: | 2010
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| 发表日期: | 2010-03-11
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| 总页数: | 21
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| 国家: | 美国
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| 语种: | 英语
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| 英文关键词: | Soil hydraulic properties
; Heterogeneity
; Uncertainty
; Vadose zone
; Numerical simulations
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| 中文主题词: | 土壤
; 渗透系数
; 各向异性
; 水力传导系数
; 导电性
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| 主题词: | SOILS
; HYDRAULIC CONDUCTIVITY
; ANISOTROPY
; CONDUCTIVITY
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| 英文摘要: | Concern over the quality of environmental management and restoration has motivated the model development for predicting water and solute transport in the vadose zone. Soil hydraulic properties are required inputs to subsurface models of water flow and contaminant transport in the vadose zone. Computer models are now routinely used in research and management to predict the movement of water and solutes into and through the vadose zone of soils. Such models can be used successfully only if reliable estimates of the soil hydraulic parameters are available. The hydraulic parameters considered in this project consist of the saturated hydraulic conductivity and four parameters of the water retention curves. To quantify hydraulic parameters for heterogeneous soils is both difficult and time consuming. The overall objective of this project was to better quantify soil hydraulic parameters which are critical in predicting water flows and contaminant transport in the vadose zone through a comprehensive and quantitative study to predict heterogeneous soil hydraulic properties and the associated uncertainties. Systematic and quantitative consideration of the parametric heterogeneity and uncertainty can properly address and further reduce predictive uncertainty for contamination characterization and environmental restoration at DOE-managed sites. We conducted a comprehensive study to assess soil hydraulic parameter heterogeneity and uncertainty. We have addressed a number of important issues related to the soil hydraulic property characterizations. The main focus centered on new methods to characterize anisotropy of unsaturated hydraulic property typical of layered soil formations, uncertainty updating method, and artificial neural network base pedo-transfer functions to predict hydraulic parameters from easily available data. The work also involved upscaling of hydraulic properties applicable to large scale flow and contaminant transport modeling in the vadose zone and geostatistical characterization of hydraulic parameter heterogeneity. The project also examined the validity of the some simple average schemes for unsaturated hydraulic properties widely used in previous studies. A new suite of pedo-transfer functions were developed to improve the predictability of hydraulic parameters. We also explored the concept of tension-dependent hydraulic conductivity anisotropy of unsaturated layered soils. This project strengthens collaboration between researchers at the Desert Research Institute in the EPSCoR State of Nevada and their colleagues at the Pacific Northwest National Laboratory. The results of numerical simulations of a field injection experiment at Hanford site in this project could be used to provide insights to the DOE mission of appropriate contamination characterization and environmental remediation. |
| URL: | http://www.osti.gov/scitech/servlets/purl/973385
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| Citation statistics: |
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| 资源类型: | 研究报告
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/39889
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| Appears in Collections: | 过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响
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| 973385.pdf（939KB） | 研究报告 | -- | 开放获取 | | View
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| Recommended Citation: | |
Zhu, Jianting. DOE-EPSCOR SPONSORED PROJECT FINAL REPORT. 2010-01-01.
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