Отправлено: 18.09.19 09:28. Заголовок: Поразительно сколько почвоведы (тут и Kasubuchi algorithm )

Поразительно сколько почвоведы туману напустили и алгоритмов придумали
Особенно по части учёта величины водосодержания

A generalized model for estimating effective soil thermal conductivity based
on the Kasubuchi algorithm
Hengnian Yana,b,c, Hailong Hea,c,d,⁎, Miles Dycke, Huijun Jind, Min Lia, Bingcheng Sia,f,
Jialong Lva,c

A B S T R A C T
The effctive soil thermal conductivity (λeff W·m−1·K−1) has essential applications in disciplines such as earth
and environmental science, agriculture and engineering. A plenty of models are available in the literature to
predict λeff but most of them are restricted to specifi soil types or water content ranges. The objective of this
study was to develop a generalized thermal conductivity model based on the Kasubuchi model for accurate
applications in soils of various textures from dry to saturation. Soil pedotransfer function (PTF) has been established to calculate model parameters based on easily available soil physical properties. The performance of
the new model was evaluated and compared with the original Kasubuchi model and six other widely applied
models. Twenty-two soil samples of various textures and water contents were used to calibrate and validate the
new model. The results showed that the modifid model performed best among these investigated models
(RMSE = 0.124 W·m−1·K−1, NSE = 0.968). This modifid model is promising for wide applications with accurate estimation of λ
ef