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contributor authorXie, Xiaoting
contributor authorLu, Yili
contributor authorRen, Tusheng
contributor authorHorton, Robert
date accessioned2019-09-19T10:01:51Z
date available2019-09-19T10:01:51Z
date copyright2/1/2018 12:00:00 AM
date issued2018
identifier otherjhm-d-17-0131.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4260769
description abstractAbstractSoil thermal diffusivity ? is an essential parameter for studying surface and subsurface heat transfer and temperature changes. It is well understood that ? mainly varies with soil texture, water content ?, and bulk density ?b, but few models are available to accurately quantify the relationship. In this study, an empirical model is developed for estimating ? from soil particle size distribution, ?b, and degree of water saturation Sr. The model parameters are determined by fitting the proposed equations to heat-pulse ? data for eight soils covering wide ranges of texture, ?b, and Sr. Independent evaluations with published ? data show that the new model describes the ?(Sr) relationship accurately, with root-mean-square errors less than 0.75 ? 10?7 m2 s?1. The proposed ?(Sr) model also describes the responses of ? to ?b changes accurately in both laboratory and field conditions. The new model is also used successfully for predicting near-surface soil temperature dynamics using the harmonic method. The results suggest that this model provides useful estimates of ? from Sr, ?b, and soil texture.
publisherAmerican Meteorological Society
titleAn Empirical Model for Estimating Soil Thermal Diffusivity from Texture, Bulk Density, and Degree of Saturation
typeJournal Paper
journal volume19
journal issue2
journal titleJournal of Hydrometeorology
identifier doi10.1175/JHM-D-17-0131.1
journal fristpage445
journal lastpage457
treeJournal of Hydrometeorology:;2018:;volume 019:;issue 002
contenttypeFulltext


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