GEOSTATISTICAL ASSESSMENT OF SPATIAL VARIABILITY OF SOME SURFACE SOIL PROPERTIES IN ARSENJAN PLAIN

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KARAMI A.; BASIRAT S.

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Journal: Iranian Journal of Soil Research Year:2015 | Volume:29 | Issue:1 Page(s): 59-69

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Information Journal Paper

Title

GEOSTATISTICAL ASSESSMENT OF SPATIAL VARIABILITY OF SOME SURFACE SOIL PROPERTIES IN ARSENJAN PLAIN

Author(s)

KARAMI A. | BASIRAT S. | Issue Writer Certificate

Keywords

SOIL CHARACTERISTICSQ2

SOIL QUALITY VARIABILITYQ1

Abstract

For optimum planning, utilization, and management of lands, recognition of spatial variability of soil properties is necessary. This research was conducted to evaluate spatial variability of soil properties in 5000 ha of Arsenjan plain in Fars province. For this purpose, soil salinity, pH, particle size percentage, sodium, potassium, and organic carbon (OC) were measured on a systematic squared grid pattern with 500*500 m at 185 sites. For these variables, the best variogram model among linear, exponential, Gaussian, and spherical models with the highest R2 and the least error was determined using GS+, and ArcGIS software. The best interpolation method was also selected among kriging, cokriging, and inverse distance weighted (IDW) methods for estimating data in non-sampled areas. To select desirable interpolation method, cross validation was used by statistical parameters of mean bias error, mean absolute error, mean square error, and root mean square error. The soil properties spatial variation maps were obtained with the best interpolation method. Results showed that soil properties had high variability. Soil salinity varied from 0.44 to 11.6 dS per meter, clay from 3.4% to 42%, silt from 5.8% to 93.1%, and sand from 2.4% to 79%. Soil texture had different classes at the study area, and there was significant correlation between soil properties. The best model for the single semi-variogram of soil salinity, pH, and clay percent was the exponential model; for silt and sand percent it was Gaussian model, and for OM the spherical model. In most cases, soil properties variogram models had small amount of nugget effect, high spatial correlation and high R2, and low amount of RSS. Although cross variogram parameters had acceptable amounts, soil variable kriging method was the unbiased estimator for most soil variables compared to co-kriging and IDW methods. The best interpolation method for silt percent was IDW, and for the other soil properties, kriging was the best one. Soil salinity and pH increased from north to south, especially toward south western. Clay percent, and OC decreased from west to east, and silt percent had the maximum amount in the center and east of the plain. Soil sodium and potassium had approximately similar trend, increasing from north to south and were affected by the low quality of irrigation water. This indicated that soil degradation and salinization has been occurring in the south part of the plain. Soil degradation and salinization is in progress and is a serious threat for the soil and water resource of this plain in the future.

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APA: Copy

KARAMI, A., & BASIRAT, S.. (2015). GEOSTATISTICAL ASSESSMENT OF SPATIAL VARIABILITY OF SOME SURFACE SOIL PROPERTIES IN ARSENJAN PLAIN. IRANIAN JOURNAL OF SOIL RESEARCH (FORMERLY SOIL AND WATER SCIENCES), 29(1), 59-69. SID. https://sid.ir/paper/159236/en

Vancouver: Copy

KARAMI A., BASIRAT S.. GEOSTATISTICAL ASSESSMENT OF SPATIAL VARIABILITY OF SOME SURFACE SOIL PROPERTIES IN ARSENJAN PLAIN. IRANIAN JOURNAL OF SOIL RESEARCH (FORMERLY SOIL AND WATER SCIENCES)[Internet]. 2015;29(1):59-69. Available from: https://sid.ir/paper/159236/en

IEEE: Copy

A. KARAMI, and S. BASIRAT, “GEOSTATISTICAL ASSESSMENT OF SPATIAL VARIABILITY OF SOME SURFACE SOIL PROPERTIES IN ARSENJAN PLAIN,” IRANIAN JOURNAL OF SOIL RESEARCH (FORMERLY SOIL AND WATER SCIENCES), vol. 29, no. 1, pp. 59–69, 2015, [Online]. Available: https://sid.ir/paper/159236/en

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