ANALYTICAL MODEL TO PREDICT ANNUAL SOIL SURFACE-TEMPERATURE VARIATION

被引：65

作者：

KRARTI, M ^{[1
]}

LOPEZALONZO, C ^{[1
]}

CLARIDGE, DE ^{[1
]}

KREIDER, JF ^{[1
]}

机构：

[1] TEXAS A&M UNIV,DEPT MECH ENGN,COLLEGE STN,TX 77843

来源：

JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME | 1995年 / 117卷 / 02期

关键词：

D O I：

10.1115/1.2870881

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

An analytical model is developed to predict the annual variation of soil surface temperature from readily available weather data and soil thermal properties. The time variation is approximated by a first harmonic function characterized by an average an amplitude, and a phase lag. A parametric analysis is presented to determine the effect of various factors such as evaporation, soil absorptivity and soil convective properties on soil surface temperature. A comparison of the model predictions with experimental data is presented. The comparative analysis indicates that the simplified model predicts soil surface temperatures within ten percent of measured data for five locations.

引用

页码：91 / 99

页数：9

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