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田间持水量是衡量土壤保水性的重要指标,也是进行农田灌溉、作物水管理和水文模型的重要参数,但其测定繁琐而耗时,迫切需要一种简捷精确的估测方法。采集了50个来自稻田和旱地的1 m深原状土壤剖面样,然后基于土壤基本理化性质,利用多元逐步回归方法对土壤田间持水量进行模型预测。结果显示:(1)对于稻田土壤,田间持水量主要受容重和有机碳影响,而对于旱地则主要受土壤质地影响;(2)构建的田间持水量传递函数,对于稻田土壤预测精确度较高,调整的确定系数达到0.79,对于旱地则相对较弱。研究表明土地利用方式对田间持水量精确估测影响较大,利用土壤传递函数法对田间持水量的快速获取有一定参考价值。
Field water holding capacity is an important index to measure soil water retention, and also an important parameter for farmland irrigation, crop water management and hydrological model. However, the measurement is cumbersome and time-consuming, and a simple and accurate estimation method is urgently needed. A total of 50 soil profile samples were collected from paddy field and dry land, and then multivariate stepwise regression was used to predict the field water holding capacity based on the basic physical and chemical properties of the soil. The results showed that: (1) For paddy soils, the field water holding capacity was mainly affected by bulk density and organic carbon, while the dry land was mainly affected by soil texture; (2) The field water capacity transfer function was constructed, , The adjusted coefficient of adjustment reached 0.79, and the dry land was relatively weaker. The research shows that the land use pattern has a great influence on the accurate estimation of the field water holding capacity, and the soil transfer function method has a certain reference value for the rapid field water holding capacity.