文献类型：期刊文献

英文题名：An empirical model for estimating soil thermal conductivity from texture, an empirical model for estimating water content, and bulk density

作者：Lu, Yili[1] Lu, Sen[2] Horton, Robert[3] Ren, Tusheng[1]

第一作者：Lu, Yili

通信作者：Ren, Tusheng

机构：[1] Dep. of Soil and Water Sciences, China Agricultural Univ., Beijing, 100193, China; [2] Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China; [3] Dep. of Agronomy, Iowa State Univ., Ames, IA, 50011, United States

年份：2014

卷号：78

期号：6

起止页码：1859-1868

外文期刊名：Soil Science Society of America Journal

收录：EI(收录号：20144700216623);Scopus(收录号：2-s2.0-84910003695)

语种：英文

外文关键词：Mass transfer - Mean square error - Soils - Textures

摘要：Soil thermal conductivity ( l ) models are needed frequently in studying coupled heat and water transfer in soils. Several models are available, but some are complicated and some produce relatively large errors. In this study, we developed a simple model for estimating l from soil texture, bulk density (r b ), and water content (q). Three parameters, a , b , and ldry, are included in the model, where l dry is determined by r b and a and b are shape factors estimated from soil texture and r b. Empirical relations were developed for a and b by fitting the model to heat-pulse (HP) measurements of l( q) on seven soils of various textures. The model performance was evaluated with independent l ( q ) data from independent HP measurements and literature values. The results show that the model is able to express the l ( q ) curves from oven dry to saturation at fixed rb values. When r b is varied, the estimated l data agree well with measured values. The root mean square errors are ? Soil Science Society of America, 5585 Guilford Rd., Madison WI 53711 USA All rights reserved.