MODELS FOR ESTIMATING POTASSIUM AND NITRATE TO CHANGES OF ION CONCENTRATION IN SOIL SOLUTION

M. S. Campos, E. F. Coelho, Bruno Laecio Silva Pereira, D. Melo, Alisson Jadavi Pereira da Silva, W. L. Simões
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Abstract

The adequate fertigation use bases on the application of nutrients by water according to crop needs throughout its cycle. The evaluation of nutrients in the soil solution may be faster if based upon soil electric conductivity and moisture by using parametric models. The objective of this study was to evaluate the sensitivity of two parametric models for estimating nitrate and potassium concentration in the soil solution under changes of ion concentration during a crop cycle. One model was that from Vogeler et al. (1996) in which ion concentration is a function of soil moisture and electrical conductivity; the other was the potential in which the concentration is a function of the electrical conductivity of the soil solution. The potential model presented a better performance compared to that of adapted from Vogeler, as for estimation of ion concentrations as for the sensitivity of this model to changes in concentration of this ion in the soil solution. The models showed greater sensitivity when fitted to data corresponding to all possible occurrences in the soil during the crop cycle. The model should consider a range of concentrations with the possible values of the soil solution along crop cycle.
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土壤溶液中钾和硝态钾离子浓度变化的估算模型
充分施肥的基础是在作物的整个生长周期中根据作物的需要对水分进行施肥。基于土壤电导率和含水率的参数化模型对土壤溶液中的养分进行评价可能会更快。本研究的目的是评估两种参数模型在作物周期离子浓度变化下估算土壤溶液中硝酸盐和钾浓度的敏感性。其中一个模型是Vogeler等人(1996)的模型,其中离子浓度是土壤湿度和电导率的函数;另一个是电位,其中浓度是土壤溶液电导率的函数。电位模型在离子浓度的估计以及该模型对土壤溶液中离子浓度变化的敏感性方面,比Vogeler的模型表现出更好的性能。当模型与作物周期中土壤中所有可能发生的事件相对应的数据相拟合时,显示出更高的灵敏度。该模型应考虑沿作物周期土壤溶液可能值的浓度范围。
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发文量
35
审稿时长
24 weeks
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