Development of a nitrogen-release algorithm for slow-release fertilizers.
Development of a nitrogen-release algorithm for slow-release fertilizers.
复制标题
开发缓释肥料的氮释放算法。
DOI：
10.13031/2013.2747
复制
发表时间：
2000
影响因子：
1.5
通讯作者：
J. C. Balogh
中科院分区：
文献类型：
--
作者：
K. King;J. C. Balogh
目前的水质模型没有考虑包硫尿素(SCU)的时间释放速率。然而，
这些缓释制剂的使用在城市农业管理中很普遍。使用记录在案的缓释版
对于肥料数据，两个表面都符合一阶衰减方程(效率R2=
0.63)和合并(效率R2=0.70)应用程序。在这两种情况下，衰减系数都可以用
一个双参数模型。确定温度和7天溶出量为最佳描述参数
对于地表模型，采用土壤水分和温度作为联合模型。温度是最大的
地表应用模式的参数较敏感，而土壤湿度是较敏感的输入。
合并模型。每个模型都是用有限数量的数据进行验证的。对地表应用模型进行了验证。
预测效率为0.82，而地下模型的预测效率为0.63。连
尽管这些模型是基于有限数量的数据，但将这些结果纳入水质模型将
允许对SCU进行初始模拟，并允许更好地模拟真实世界的情况。
Current water quality models do not consider the time release rate of sulfur-coated ureas (SCUs). However,
the use of these slow-release formulations is prevalent in urban agricultural management. Using documented slow-release
fertilizer data, a first-order decay equation was fit with reasonable accuracy for both surface (Efficiency R 2 =
0.63) and incorporated (Efficiency R 2 = 0.70) applications. In both cases the decay coefficient was best represented using
a two-parameter model. Temperature and seven-day dissolution amount were determined as best descriptive parameters
for the surface model while soil moisture and temperature were used for the incorporated model. Temperature was the
more sensitive parameter for the surface applied model while soil moisture was the more sensitive input for the
incorporated model. Each model was validated with a limited amount of data. The surface applied model was validated
with a prediction efficiency of 0.82 while the subsurface model was validated with a prediction efficiency of 0.63. Even
though the models are based on a limited amount of data, incorporation of these results in water quality models will
permit the initial simulation of SCUs and allow better simulations of real world situations.