1D+2D与3D水文地质流域模型对比定标

IF 2.1 3区 地球科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computational Geosciences Pub Date : 2023-11-23 DOI:10.1007/s10596-023-10261-y
Gillien Latour, Pierre Horgue, François Renard, Romain Guibert, Gérald Debenest
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引用次数: 0

摘要

在这项工作中,我们研究了水文地质流域模型参数的校准,通过比较结合了不饱和1D柱和饱和2D模型的1D+2D方法,以及全3D方法。首先,通过对每个模型(2D饱和模型和3D非饱和模型)进行反演,估算非均质渗透率场。在三维模型的情况下,计算时间明显要高得多;因此,在垂直均质含水层的情况下,二维模型似乎足够且更有效地利用压力测量来评估渗透率场。第二步的重点是通过调整水力高度来校准水力参数,这些水力高度要么来自分布在整个域上的几个虚拟点的1D+2D参考模型,要么来自十二个真实的压电计。两种方法都能很好地拟合压力测量结果,但参数值差异很大:一维+二维方法的van Genuchten alpha系数不现实,反映了对非饱和带建模考虑较差,而三维方法的孔隙度值较高,这可能可以通过开发更合适的成本函数来弥补。
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Comparative calibration of 1D+2D and 3D hydrogeological watershed models

In this work, we study the calibration of the parameters of a hydrogeological watershed model by comparing a 1D+2D approach that combines unsaturated 1D columns and a saturated 2D model, with a full 3D approach. In a first step, a heterogeneous permeability field is estimated by an inversion procedure for each model (2D saturated and 3D unsaturated). The fields obtained are similar but the calculation time is obviously much higher in the case of the 3D model: the 2D model seems therefore sufficient and more efficient to evaluate permeability fields using piezometric measurements in the case of vertically homogeneous aquifers. The second step focuses on the calibration of the hydraulic parameters by adjusting the hydraulic heights either derived from a 1D+2D reference model at several fictitious points distributed over the entire domain, or measured in a dozen real piezometers. Both approaches provide a good fit to the piezometric measurements, but the parameter values differ significantly: the van Genuchten alpha coefficient is unrealistic in the 1D+2D approach, reflecting a poorer consideration of the modeling unsaturated zone, while the porosity value is higher in the 3D approach, which can probably be remedied by developing a more suitable cost function.

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来源期刊
Computational Geosciences
Computational Geosciences 地学-地球科学综合
CiteScore
6.10
自引率
4.00%
发文量
63
审稿时长
6-12 weeks
期刊介绍: Computational Geosciences publishes high quality papers on mathematical modeling, simulation, numerical analysis, and other computational aspects of the geosciences. In particular the journal is focused on advanced numerical methods for the simulation of subsurface flow and transport, and associated aspects such as discretization, gridding, upscaling, optimization, data assimilation, uncertainty assessment, and high performance parallel and grid computing. Papers treating similar topics but with applications to other fields in the geosciences, such as geomechanics, geophysics, oceanography, or meteorology, will also be considered. The journal provides a platform for interaction and multidisciplinary collaboration among diverse scientific groups, from both academia and industry, which share an interest in developing mathematical models and efficient algorithms for solving them, such as mathematicians, engineers, chemists, physicists, and geoscientists.
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