《Table 3 Fitted equations of multiple linear regression models for different soil depths》

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《Mapping Soil Electrical Conductivity Using Ordinary Kriging Combined with Back-propagation Network》

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Notes:EC，soil electrical conductivity；LU，land use types；DI，distance to the irrigation ditches；NDVI，normalized difference vegetation index.

The soil electrical conductivity was fitted with the selected factors by the MLR model.As shown in Table 3，land use types and distance to the irrigation ditches entered into the regression equation at 0–30 cm depth，while land use types and NDVI entered into the equation at 30–50 cm depth.The relationships between soil electrical conductivity and its related influencing factors were extremely significant（P<0.001），which indicated that the selected factors could explain the variability of soil electrical conductivity.Therefore，these factors were selected to predict the spatial distribution of soil electrical conductivity.