Precise estimation of the soil nitrification process of ammonium fertilizers is crucial to improving soil fertility and reducing environmental pollution since nitrification is closely related to ammonia volatilization and nitrate leaching. However, the applicability and effectiveness of different kinetic models in simulating the soil nitrification process have not been systematically evaluated in previous studies. Here, we compared the effectiveness of one self‐established model (T‐function) and three commonly‐used kinetic models (L‐function, zero‐order kinetic model, and first‐order kinetic model) using data extracted from peer‐reviewed publications. Results showed that the average determination coefficients (R2) of the T‐function and L‐function were 3% higher than that of the first‐order kinetic model, while the average root mean square errors (RMSE) of the T‐function and L‐function were 30% lower than that of the first‐order kinetic model. In addition, first‐order kinetic model could not function properly when it was applied to simulate linear data. Zero‐order kinetic model was not suitable for predicting soil nitrification process because its mathematical nature was inconsistent with the actual soil nitrification process. Further investigations of the parameters of the T‐function and L‐function revealed that p1 (parameter 1) represented the soil net nitrate production of the applied N fertilizer, while p1 × p3 represented the soil nitrification rate. The response of the parameters of the T‐function was more sensitive to soil pH, TN, and C/N ratio changes than those of the L‐function. Therefore, the T‐function is slightly more accurate than the L‐function, but it requires more data points to achieve the best performance. In general, T‐function and L‐function are the most suitable models for simulating the soil nitrification process of N fertilizers and have the potential to be incorporated into soil N cycling models.

中文翻译：

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评估不同动力学模型在模拟铵肥土壤硝化过程中的有效性


由于硝化与氨挥发和硝酸盐浸出密切相关，因此精确估计铵态肥的土壤硝化过程对于提高土壤肥力和减少环境污染至关重要。然而，在以前的研究中，尚未系统地评估不同动力学模型在模拟土壤硝化过程中的适用性和有效性。在这里，我们使用从同行评审出版物中提取的数据比较了一个自建立模型 （T 函数） 和三个常用动力学模型 （L 函数、零阶动力学模型和一级动力学模型） 的有效性。结果表明，T 函数和 L 函数的平均决定系数 （R2） 比一级动力学模型高 3%，而 T 函数和 L 函数的平均均方根误差 （RMSE） 比一级动力学模型低 30%。此外，一阶动力学模型在用于模拟线性数据时无法正常工作。零级动力学模型不适合预测土壤硝化过程，因为其数学性质与实际土壤硝化过程不一致。对 T 函数和 L 函数参数的进一步研究显示，p1（参数 1）代表施用氮肥的土壤净硝酸盐产生量，而 p1 × p3 代表土壤硝化速率。T 函数参数的响应对土壤 pH 、 TN 和 C/N 比值的变化比 L 函数的响应更敏感。因此，T 函数比 L 函数略准确，但它需要更多的数据点才能实现最佳性能。 一般来说，T 函数和 L 函数是模拟土壤氮肥硝化过程的最合适模型，并有可能纳入土壤氮循环模型。