THE PREDICTION POSSIBILITY OF SOIL CATION EXCHANGE CAPACITY BY USING OF EASILY ACCESSIBLE SOIL PARAMETERS

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HEZARJARIBI A.; NOSRATI KARIZAK F.; ABDOLLAHNEZHAD K.; GHORBANI KH.

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Paper Information

Journal: Journal of Water and Soil Year:2013 | Volume:27 | Issue:4 Page(s): 712-719

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Title

THE PREDICTION POSSIBILITY OF SOIL CATION EXCHANGE CAPACITY BY USING OF EASILY ACCESSIBLE SOIL PARAMETERS

Author(s)

HEZARJARIBI A. | NOSRATI KARIZAK F. | ABDOLLAHNEZHAD K. | GHORBANI KH. | Issue Writer Certificate

Keywords

CATION EXCHANGE CAPACITYQ2

ARTIFICIAL NEURAL NETWORKQ2

PREDICTIONQ2

EASILY SOIL PROPERTIESQ2

Abstract

CATION EXCHANGE CAPACITY (CEC) is an important characteristic of soil in view point of nutrient and water holding capacity and contamination management. Measurement of CEC is difficult and time-consuming. Therefore, CEC estimation through other easily-measurable properties is desirable. The purpose of this research was to investigate CEC estimating using easily accessible parameters with ARTIFICIAL NEURAL NETWORK. In this study, the easily accessible parameters were sand, silt and clay contents, bulk density, particle density, organic matter (%OM), calcium carbonate equivalent (%CCE), pH, geometric mean diameter (dg) and geometric standard deviation of particle size (sg) in 69 points from a 1´2 km sampling grid. The results showed that ARTIFICIAL NEURAL NETWORK is a precise method to predict CEC that it can predict 82% of CEC variation. The most important influential factor on CEC was soil texture. The sensitivity analysis of the model developed by using of ARTIFICIAL NEURAL NETWORK represented that clay%, silt%, sand%, geometric mean diameter and geometric standard deviation of particle size, OM% and total porosity were the most sensitive parameters, respectively. The model with clay%, silt%, sand%, geometric mean diameter and geometric standard deviation of particle size as inputs data was selected as the base model to predict CEC at studied area.

Cites

PHYTOCHEMICAL AND MORPHO-PHYSIOLOGICAL CHANGES LAVENDER (LAVANDULA OFFICINALIS L.) IN RESPONSE TO DIFFERENT CULTURE MEDIA

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APA: Copy

HEZARJARIBI, A., NOSRATI KARIZAK, F., ABDOLLAHNEZHAD, K., & GHORBANI, KH.. (2013). THE PREDICTION POSSIBILITY OF SOIL CATION EXCHANGE CAPACITY BY USING OF EASILY ACCESSIBLE SOIL PARAMETERS. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), 27(4), 712-719. SID. https://sid.ir/paper/141752/en

Vancouver: Copy

HEZARJARIBI A., NOSRATI KARIZAK F., ABDOLLAHNEZHAD K., GHORBANI KH.. THE PREDICTION POSSIBILITY OF SOIL CATION EXCHANGE CAPACITY BY USING OF EASILY ACCESSIBLE SOIL PARAMETERS. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)[Internet]. 2013;27(4):712-719. Available from: https://sid.ir/paper/141752/en

IEEE: Copy

A. HEZARJARIBI, F. NOSRATI KARIZAK, K. ABDOLLAHNEZHAD, and KH. GHORBANI, “THE PREDICTION POSSIBILITY OF SOIL CATION EXCHANGE CAPACITY BY USING OF EASILY ACCESSIBLE SOIL PARAMETERS,” JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), vol. 27, no. 4, pp. 712–719, 2013, [Online]. Available: https://sid.ir/paper/141752/en

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