Efficient Storage of Large MODFLOW Models

被引:1
|
作者
Jones, Norman L. [1 ]
Lemon, Alan M. [2 ]
Kennard, Michael J. [2 ]
机构
[1] Brigham Young Univ, Environm Modeling Res Lab, Provo, UT 84602 USA
[2] Aquaveo LLC, Provo, UT USA
关键词
D O I
10.1111/gwat.12060
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
We present a methodology for storing the bulkier portions of a set of MODFLOW input and output files in a compressed binary format using the HDF5 library. This approach results in compression ratios of up to 99% with no significant time penalty. The highly compressed format is particularly beneficial when dealing with large regional models or Monte Carlo simulations. The strategy is focused on the list-and array-based portions of the input files including the cell property and recharge arrays, and is compatible with models containing parameters, including pilot points. The utilities are based on a modified version of the MODFLOW code and are, therefore, compatible with any standard MODFLOW simulation. We present used cases and instructions on how to use the utilities.
引用
收藏
页码:461 / 465
页数:5
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