估计太湖地区水稻土水分特征曲线的物理-经验方法研究  

PHYSICO-EMPIRICAL METHODS FOR ESTIMATING SOIL WATER RETENTION CURVE OF PADDY SOIL IN TAIHU LAKE AREA

作　　者：张均华[1,2] 刘建立[1] 张佳宝[1] 

机构地区：[1]中国科学院南京土壤研究所,南京210008 [2]中国科学院研究生院,北京100049

出　　处：《土壤学报》2011年第2期269-276,共8页Acta Pedologica Sinica

基　　金：中国科学院知识创新工程领域前沿项目(ISSASIP0719);国家科技支撑计划课题(2006BAD10A06-03);国家重点基础研究发展规划(973计划)课题(2005CB121103);农田土壤层次863专题课题(2006AA10Z208)资助

摘　　要：为寻求适于太湖地区水稻土水分特征曲线估算的简便方法,本文以实测土壤基本性质和土壤水分特征曲线为基础,对13种物理-经验方法估计土壤水分特征曲线的效果进行综合评价。结果表明,基于形状相似性的物理-经验方法预测效果要优于多数分形方法,但均差于基于Kravchenko-Zhang分维方法和B rooks-Corey水分特征曲线方程的孔隙表面分形模型(简称KZBC模型)。物理-经验方法在不同压力水头段对含水量的预测精度有差异,在实际工作中不仅要考虑模型的适用性,还要考虑其适用的压力水头范围。KZBC模型估计土壤水分特征曲线精度最高,实用性也较强,是适用于本研究区水分特征曲线估计的最佳方法。In order to find a simple method fit for estimating soil water retention curves of paddy soils in the Taihu Lake region, thirteen physieo-empirieal methods were evaluated,based on measured basic soil properties and soil water retention curves. Results show that physico-empirieal methods based on shape similarity were superior to most of the fractal methods in prediction effect, but inferior to the pore surface fractal model based on the Kravehenko- Zhang fractal dimension method and the Brooks-Corey soil moisture curve equation （shortened as KZBC model）. The physico- empirical methods varied in accuracy of the precision of soil moisture content under different pressure heads. So in practice, it is necessary to take into account not only the applicability of a model, but also the scope of pressure head. The KZBC model is the highest in prediction accuracy and practicability and hence the best model in this study for estimating soil water retention curve of the paddy soils in Taihu Lake area.

关 键 词：水稻土 水分特征曲线 物理-经验方法 

分 类 号：S152.7[农业科学—土壤学]