Uncertainty and variability of infiltration at Yucca Mountain: Part 1. Numerical model development

被引:1
|
作者
Stothoff, Stuart A. [1 ]
机构
[1] Southwest Res Inst, Ctr Nucl Waste Regulatory Anal, San Antonio, TX 78238 USA
关键词
infiltration; Yucca Mountain; modeling; HYDRAULIC-PROPERTIES; NEVADA; HYDROLOGY;
D O I
10.1002/wrcr.20252
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The U.S. Nuclear Regulatory Commission investigated climate and infiltration at Yucca Mountain to (i) understand important controls and uncertainties influencing percolation through the unsaturated zone on multimillennial time scales and (ii) provide flux boundary conditions for up to 1 million years in performance assessment models of the proposed Yucca Mountain repository. This first part of a two-part series describes a procedure for abstracting the results from detailed numerical simulations of local-scale infiltration into a site-scale model considering uncertainty and variability in distributed net infiltration. Part 2 describes site-scale model results and corroboration. A detailed one-dimensional numerical model was used to estimate bare-soil net infiltration at the scales of hours and meters for 442 soil, bedrock, and climate combinations. The set of results are abstracted into three parametric response functions for decadal-average bare-soil infiltration given hydraulic and climatic parameters. The three abstractions describe deep soil, shallow soil over a coarser layer, and shallow soil over a finer layer. The site-scale model considers spatial variability and uncertainty of the input parameters on a 30 m grid, using the abstractions independently in each cell. Two additional abstractions account for overland flow and vegetation. The model uses Monte Carlo simulation, with all input parameters uncertain and spatially variable, to calculate the mean and standard deviation of net infiltration in each grid cell for selected climate states. Using abstractions rather than detailed simulations speeds calculation of infiltration realizations by many orders of magnitude relative to a detailed simulation.
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页码:3787 / 3803
页数:17
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