基于贝叶斯最大熵映射饱和导电性的ERT和浸润试验数据融合

S. Rabouli, M. Serre, V. Dubois, J. Gance, H. Henine, P. Molle, C. Truffert, R. Clément
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引用次数: 0

摘要

土壤渗透作为生活污水处理后的排放出口。在异质土壤环境下,这些渗透区域的大小是困难的,特别是由于饱和水力传导率的空间测量,这是昂贵和耗时的。目前,还没有足够的技术来评估非均质土壤的饱和水力导电性的变异性。发展土壤性质的空间表征方法是必不可少的。我们在这里展示了使用贝叶斯最大熵数据融合来获得非均匀土壤入渗能力的二维表示的好处。该工具开辟了前景,提高渗透面积的规模,在非均质土壤的背景下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Fusion of ERT and Infiltration Tests, Using Bayesian Maximum Entropy to Mapping Saturated Hydraulic Conductivity
Summary Soil infiltration is used as an outlet for the discharge of domestic treated wastewater. The sizing of these infiltration areas in a heterogeneous soil context is difficult, due in particular to the spatial measurement of saturated hydraulic conductivity, which is costly and time-consuming to implement. Nowaday, there is no adequate technique for evaluating the variability of satured hydraulic conductivity for a heterogeneous soil. The development of a methodology for the spatial characterization of soil properties is essential. We demonstrate here the benefit of using Bayesian Maximum Entropy data fusion to obtain a 2D representation of the infiltration capacity of heterogeneous soils. This tool opens up prospects for improving the sizing of infiltration areas, in context of heterogeneous soil.
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