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首页> 外文期刊>Applied and environmental soil science >Predicting Mineral N Release during Decomposition of Organic Wastes in Soil by Use of the SOILN_NO Model
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Predicting Mineral N Release during Decomposition of Organic Wastes in Soil by Use of the SOILN_NO Model

机译:利用SOILN_NO模型预测土壤中有机废物分解过程中的矿质氮释放

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摘要

In order to predict the mineral N release associated with the use of organic waste as fertilizer in agricultural plant production, the adequacy of the SOILN_NO model has been evaluated. The original thought was that the model calibrated to data from simple incubation experiments could predict the mineral N release from organic waste products used as N fertilizer on agricultural land. First, the model was calibrated to mineral N data achieved in a laboratory experiment where different organic wastes were added to soil and incubated at 15°C for 8 weeks. Secondly, the calibrated model was tested by use of NO3 −leaching data from soil columns with barley growing in 4 different soil types, added organic waste and exposed to natural climatic conditions during three growing seasons. The SOILN_NO model reproduced relatively well the NO3 −leaching from some of the soils included in the outdoor experiment, but failed to reproduce others. Use of the calibrated model often induced underestimation of the observed NO3 −leaching. To achieve a satisfactory simulation of the NO3 −leaching, recalibration of the model had to be carried out. Thus, SOILN_NO calibrated to data from simple incubation experiments in the laboratory could not directly be used as a tool to predict the N-leaching following organic waste application in more natural agronomic plant production systems. The results emphasised the need for site- and system-specific data for model calibration before using a model for predictive purposes related to fertilizer N value of organic wastes applied to agricultural land.
机译:为了预测与在农业植物生产中使用有机废物作为肥料相关的矿物氮释放,已评估了SOILN_NO模型的适当性。最初的想法是,根据简单的孵化实验数据校准的模型可以预测用作农田肥料的有机肥料中有机废物中的矿物质氮释放。首先,将模型校准为在实验室实验中获得的矿物氮数据,在实验室实验中,将不同的有机废物添加到土壤中并在15°C下孵育8周。其次,使用来自大麦在4种不同土壤类型中生长,添加有机废物并在三个生长季节中暴露于自然气候条件下的土壤柱中的NO3 +淋洗数据,对校准后的模型进行了测试。 SOILN_NO模型从室外试验中包含的某些土壤中很好地再现了NO3 +的淋溶,但未能再现其他土壤。校准模型的使用通常会导致低估所观察到的NO3 +浸出。为了获得满意的NO3 +浸出模拟,必须对模型进行重新校准。因此,根据实验室简单温育实验数据校准的SOILN_NO不能直接用作预测在更天然的农艺植物生产系统中施用有机废物后氮淋失的工具。结果强调,在将模型用于与施用于农业土地的有机废物的肥料N值相关的预测目的之前,需要对特定于站点和系统的数据进行模型校准。

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