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Cite as: Rev. Chim.
https://doi.org/10.37358/Rev.Chim.1949

OSIM Nr. R102355
ISSN Online 2668-8212
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Revista de Chimie (Rev. Chim.), Year 2011, Volume 62, Issue 3,





Kinetic Research Regarding the Nutrient Retention
in the Soil Using the Neural Networks
Cristina Modrogan, Oanamari Daniela Orbulet, Alexandra Raluca Miron, Dumitru Apostol

Abstract:

The sorption is one of the most important chemical processes in the soils that affect the transport of nutritive elements in soil. The quantification of the nutrient concentration in the soil and in the soil solution is an important stage in modelling the transport. The soil contamination causes a deep concern as regards the environment protection due to its hazardous effects on the human health. Both the organic and the inorganic constituents are important in the soil. In this paper, a forecasting study was prepared regarding the phosphate and nitrate retention rate on a chernozem type of soil by using the artificial neural networks. The artificial neural networks (ANN) were used for forecasting the pollutants at various moments, with very good results. The research study results show that the ANN performance surpasses, in general, the results of the traditional statistic methods, for instance, the multiple regression. Keywords: phosphorus, nitrates, soil, sorption, artificial neural network


Issue: 2011, Volume 62, Issue 3
Pages:
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