نوع مقاله : مقاله پژوهشی
نویسندگان
1 بخش تحقیقات خاک و آب، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان اصفهان، سازمان تحقیقات، آموزش و ترویج کشاورزی، اصفهان، ایران
2 مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی اصفهان، سازمان تحقیقات، آموزش و ترویج کشاورزی، اصفهان ایران.
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
In recent years, geostatistical methods have emerged as powerful tools for spatially analyzing soil properties. This study evaluated and compared two geostatistical methods, Kriging and Co-kriging to estimate soil moisture at field capacity (FC) and permanent wilting point (PWP) using 101 soil samples collected from various regions of Isfahan province, Iran. Soil samples were randomly taken from a depth of 0 to 30 cm in the target areas and soil texture, FC and PWP properties were measured. GS+ version 9 software was used to examine and describe the structure of the studied properties and Arc GIS software was used to draw zoning maps. The accuracy of the estimated values was assessed using the mean bias error (MBE) and root mean square error (RMSE). Pearson's correlation analysis revealed strong correlations between clay, silt, sand percentages, bulk density and organic matter percentage with FC (0.84, 0.81, -0.92, 0.60 and 0.55 respectively) and PWP (0.83, 0.78, -0.90, -0.54 and 0.54 respectively). Geostatistical analysis indicated that the spherical model provided the best fit for all measured variables and that all variables exhibited strong spatial dependence (Sill to Nugget plus Sill was less than 25). Statistical comparisons revealed that ordinary Kriging outperformed Co-kriging in estimating FC and PWP. The coefficients of determination (R²) for FC values in ordinary Kriging, Co-kriging with clay as auxiliary data, Co-kriging with silt as auxiliary data, and organic matter as auxiliary data were 0.66, 0.62, 0.60, and 0.61 respectively, while for PWP values, they were 0.68, 0.67, 0.67, and 0.66 respectively. Therefore, ordinary Kriging, due to its simplicity and computational efficiency, can be a viable method for estimating FC and PWP with acceptable accuracy.
کلیدواژهها [English]
)