Correcting the effect of soil salinity in soil moisture measurement in gypsum blocks using the response surface method (RSM)

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Hoseini Yaser

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Journal Paper

Paper Information

Journal: APPLIED SOIL RESEARCH Year:2024 | Volume:12 | Issue:4 Page(s): 74-91

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Title

Correcting the effect of soil salinity in soil moisture measurement in gypsum blocks using the response surface method (RSM)

Author(s)

Hoseini Yaser | Issue Writer Certificate

Keywords

Ardabil province

Soil salinity

Moisture correction

Response level

Statistical distribution

Abstract

Continuous evaluation and measurement of soil moisture content are necessary for irrigation management and planning. One common instrument for measuring soil moisture is the gypsum block method, which can be done easily and quickly. However, soil salinity can cause errors in measuring water content using the gypsum block model 5910-A. In this research, the effect of different irrigation salinities (1, 2, 6, 10, 18) dS m-1 was investigated on gypsum blocks in three textural classes; clay-loam, loam, and sandy-loamy. The study was conducted in a completely randomized laboratory experiment with two replications and correction functions were investigated using the response surface method to determine the effect of parameters on the correction value. Correction functions were developed for each texture at different salinities using response surface method. Results showed that the response surface method (RSM) could estimate correction functions with an error probability of less than 0.0001 using two variables; moisture suction and salinity, or considering just the salinity factor. The accuracy of correction functions slightly decreased in different textures of clay loam, sandy loam and loam. The response surface method showed that the best salinity correction model was based on the salinity variable and the amount of soil matric suction for all three soil texture. Soil matric suction was determined from the soil moisture curve using the Parabolic model with a goodness of fit (R2) of 0.96 for loamy soil, and 0.94 for clay-loam and sandy-loam textures. To minimize correction under maximum salinity and soil suction conditions in different textures, the response surface method showed that the lowest moisture modification in clay-loam texture could be0.075 (cm3/cm3) at a suction of 8 (bar) and salinity of 18 (dS m-1) with an acceptance degree of 1. The desirability degree for loam soil and sandy-loam was calculated as 0.96 and 0.95 respectively. The results indicated that moisture correction values increased with soil salinity, but the accuracy of estimation functions for moisture correction values also increased. The changes in the moisture modification function were sinusoidal and quadratic in relation to the soil salinity and matric suction variables, respectively.

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