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Error of pressure estimation close to water table by different retention functions

机译:不同保留功能靠近水位的压力估计误差

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Error of pressure estimation (EPE) was produced close to water table due to very high fluid pressure gradient and different retention functions. Generally, EPE depended on pressures distribution on both sides of water table, depth of node below water table and spatial increment. EPE may accumulate itself to a sizable scale and cause convergence and mass balance problems. In particular, numerical models with the van Genuchten model (vG model) always invariably result in negative EPE while those with the Gardner-Russo model (GR model) and the Brooks-Corey model (BC model) may also cause positive EPE. Under the GR model or the vG model, smaller alpha causes greater negative EPE. Under the BC model, shorter and longer capillary fringe may cause limited positive EPE and great negative EPE, respectively. Numerical models may often underestimate water table responses to infiltration into the fine clay while overestimate the responses into the coarse sand. It is essential and feasible to eliminate EPE by way of revising the potentials of block boundary nodes.
机译:由于非常高的流体压力梯度和不同的保留功能,压力估计误差(EPE)靠近水位而产生。通常,EPE取决于水位两侧的压力分布,水位下方的节点深度和空间增量。 EPE可能会累积到大量规模并导致收敛和质量平衡问题。特别是,带有VAN Genuchten模型(VG模型)的数值模型总是总是导致负EPE,而具有Gardner-Russo模型(GR模型)和Brooks-Corey模型(BC模型)也可能导致正EPE。在GR模型或VG模型下,较小的alpha导致更大的负ePE。在BC模型下,较短毛细管条纹的较短和较长率分别可能导致有限的积极EPE和大负环。数值模型可能经常低估水表反应,以渗入细粘土,同时高估到粗砂中的反应。通过修改块边界节点的潜力来消除EPE至关重要和可行。

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