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首页> 外文期刊>Nutrient Cycling in Agroecosystems >Predicting nitrogen leaching with the modified LEACHM model: validation in soils receiving long-term application of animal manure composts
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Predicting nitrogen leaching with the modified LEACHM model: validation in soils receiving long-term application of animal manure composts

机译:使用改良的LEACHM模型预测氮的浸出:长期接受动物粪便堆肥的土壤中的验证

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摘要

A variety of process-based models have been developed for predicting nitrogen (N) dynamics in agro-ecosystem; however, no reliable models have been validated for N leaching from soils receiving a long-term application of different types of animal manure composts. The Leaching Estimation and Chemistry Model (LEACHM) was recently modified by incorporating the basic structure of Rothamsted Carbon Model for extending its ability to describe soil organic matter decomposition and subsequent N leaching in soils rich in organic matter. We evaluate the applicability of the modified LEACHM in cropped Yellow soils receiving 10-year application of cattle or swine manure compost in addition to chemical fertilizers, where high-frequency field monitoring data of soil water contents, soil N contents and leachate N concentrations were available for the last 3 years. Particular attention was paid to determine all input parameters from independent measurements, parameterization from known soil properties or databases without optimisation to fit the measured field data. The model reasonably predicted temporal changes in the soil NH4-N and NO3-N contents, and inorganic N concentrations in the leachate as well as their differences due to different manure compost/chemical fertilizer applications. The simulations of leached N concentration yielded a Willmott index of agreement (IA) of 0.62-0.68, with those for soil moisture, soil nitrate content and crop N uptake all within an acceptable IA range. In view of the good performance without site-specific calibrations, the modified LEACHM appears to be a valuable tool for predicting N leaching from cropped soils receiving long-term manure compost applications.
机译:已经开发了多种基于过程的模型来预测农业生态系统中的氮(N)动态。但是,长期使用不同类型的动物粪便堆肥的土壤中氮的淋溶没有经过验证的可靠模型。最近,通过引入Rothamsted Carbon模型的基本结构,改进了浸出估算和化学模型(LEACHM),以扩展其描述土壤有机质分解和随后在富含有机质土壤中进行N淋滤的能力。我们评估了改良的LEACHM在除化学肥料外还需施用牛或猪粪堆肥10年的黄土作物中的适用性,那里可获得土壤水含量,土壤N含量和渗滤液N浓度的高频现场监测数据在过去的三年中。要特别注意从独立测量中确定所有输入参数,从已知土壤特性或数据库中进行参数化,而无需进行优化以适合实地数据。该模型可以合理地预测土壤中NH4-N和NO3-N含量的时间变化以及渗滤液中无机氮的含量,以及由于不同肥料肥料/化肥施用而造成的差异。淋滤氮浓度的模拟得出的威尔莫特协议指数(IA)为0.62-0.68,而土壤水分,土壤硝酸盐含量和农作物氮素吸收均在可接受的IA范围内。鉴于没有特定位置校准的良好性能,改进的LEACHM似乎是预测长期施用粪肥的作物土壤中氮淋失的有价值的工具。

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