کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4962067 | 1446517 | 2016 | 6 صفحه PDF | دانلود رایگان |
The functional dependence of the relative unsaturated hydraulic conductivity (UHC) Kr (Ï) exp(αÏ) upon the matric potential Ï, [L], via the soil-dependent parameter α, [Lâ1], has been traditionally regarded as a deterministic process (i.e. α â¼ constant). However, in the practical applications one is concerned with flow domains of large extents where α undergoes to significant spatial variations as consequence of the disordered soil's structure. To account for such a variability (hereafter also termed as “heterogeneity”) we adopt the mining geostatistical approach, which regards α as a random space function (RSF). To quantify the heterogeneity of α, estimates of local-values were obtained from â¼ 100 locations along a trench where an internal drainage test was conducted. The analysis of the statistical moments of α demonstrates (in line with the current literature on the matter) that the log-transform ζ ln α can be regarded as a structureless, normally distributed, RSF. An novel implementation of the present study in the context of the “Internet of Things” (IoT) is outlined.
Journal: Procedia Computer Science - Volume 98, 2016, Pages 419-424