Prediction for Cadmium in Surface Soil and Agricultural Industrial Planning in Selenium Enriched Area Based on GWRK

XIANG Jian-qiao;DAI Yun-zhe;Hubei Selenium Industrial Research Institute;College of Public Administration,China University of Geosciences (Wuhan);

geographically weighted regression Kriging(GWRK) model;;selenium enrichment;;cadmium;;agricultural industrial planning

Geographically weighted regression Kriging(GWRK) model and regression Kriging(RK) model were employed. On the basis of soil selenium content, the model to predict the soil cadmium content was constructed, which was explored the soil cadmium content prediction method under the condition of only having soil selenium content data. And cadmium pollution prevention and control of risk assessment and selenium-rich agricultural planning were explored. The results indicated that(1)Chaihu is qualified for establishing selenium industry as the area of selenium-rich cultivated land reached 5 316.57 hm~2.(2)The cadmium background value in soil fits the class Ⅱ standard of Soil Environmental Quality Standard of China,which is safe for plants and the environment.(3)There exists significant positive correlation between selenium content and cadmium content in soil.(4) GWRK model is qualified for predicting cadmium content in soil based on the data of selenium content in soil, and which is much better than RK does.(5)Both RK and GWRK model have a similar issue of value range shrinkage,which leads the decline in simulation accuracy, and the accuracy of prediction is significantly higher in the vicinity of the median. Overall, GWRK model could be used for predicting cadmium content based on selenium content, and different plating plans should be carried out for cultivated land according to the differentiation of selenium content and cadmium content in soil.