Simulating water transport in porous media of urban soil

Kokoreva, A A; Dembovetskiy, A V; Ezhelev, Z S; Bolotov, A G; Stepanenko, V M; Shishkin, K V; Abramyan, I A

doi:10.1088/1755-1315/862/1/012042

Cited by 1 publication

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…В основе данных рекомендаций лежит предположение, что математические модели способны качественно и адекватно отражать изменения влажности и температуры почв с течением времени. Но это не всегда так, что было показано в ряде работ (Kokoreva, 2021;Weisner, 2016). Так, большое количество математических моделей создано на основе изучения агроландшафтов, а процессы теплопереноса и влагопереноса в сложных почвенных конструкциях изучены слабее (Schjønning, 2021), что приводит к более высоким значениям ошибок при прогнозных расчетах.…”

Section: Introductionunclassified

Thermal conductivity of urban and artificial soils: methodological aspects and mathematical modeling

Kokoreva,

Kozhunov,

Butylkina

et al. 2024

DSB

View full text Add to dashboard Cite

There are various methods for experimental determination of the thermal conductivity dependence on soil moisture and substrates. The influence of the sample structure (monolith, bulk sample), sample temperature, the method of installing the probe into the sample on the obtained readings of the TEMPOS device was studied and methodological recommendations were proposed. The dependence of thermal conductivity of soils bulk samples and substrates on moisture is shown. The spread of thermal conductivity values in the moisture range from hygroscopic to full moisture capacity for soddy-podzolic soil is 0.229–1.430 W/(m*K), for peat – 0.250–0.521 W/(m*K), for sand – 0.280–2.605 W/(m*K), for a mixture – 0.234–1.568 W/(m*K). ). The influence of properties such as density, particle size distribution, specific surface area, organic matter content, salinity affected thermal properties to a lesser extent. The established patterns can be used to calculate the temperature regime of soils in solving a number of applied problems related to the construction of special soil objects, for example, when creating urban soil structures. For this, it is necessary either to determine the thermal conductivity experimentally, or to calculate it, using the physical parameters of soils and substrates. The first method is labor-consuming, the second is less accurate. As an example, the equations available for work in the HYDRUS-1D (Chang–Horton and Campbell) model are used. These equations either overestimate the thermal conductivity in the area of high substrate humidity, or underestimate the thermal conductivity in the area of low substrate humidity (sand, loam, peat and a mixture based on them).

show abstract

Section: Introductionunclassified