排灌机械工程学报

作者：LEILA Esmaeelnejad,HAMED Rezaei*

单位：1. Soil and Water Research Institute, Agricultural Research, Education and Extension OrganizationAREEO, Karaj 3177993545, Iran; 2. Scientific Board, Soil and Water Research Institute, Agricultural Research, Education and Extension OrganizationAREEO, Karaj 3177993545, Iran

关键词：empirical Bayesian Kriging,geostatistics,GIS,groundwater EC,spatial variability

基金： 

Electrical conductivity(EC)is considered as the most important indicator for assessment of groundwater quality. Determination of suitable interpolation method for derivation of groundwater quality variables map such as EC is dependent on region conditions and existence enough data. For determining groundwater EC, 341 groundwater samples were randomly collected from the central regions of Guilan province, paddy soils, in northern Iran. Interpolation methods including inverse distance weighting(IDW), Global Polynomial Interpolation(GPI), Local Polynomial Interpolation(LPI), Radial Basis Function(RBF), ordinary Kriging(OK)and empirical Bayesian Kriging(EBK)were used to generate spatial distribution of groundwater EC. The results indicated that EBK is a superior method with the least RMSE, MAE and highest R2. The maps generated can be used to identify the regions in the studied area where groundwater could be allowed to be extracted and utilized by farmers to reduce the bad effects of the scarcity of surface water.

来源：2020年第8期

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