Accurate prediction of non-point source water pollution is conducive to the prevention and control of rural water pollution. To improve the prediction accuracy of agricultural non-point source water pollution and achieve timely prevention and control, a prediction model of agricultural non-point source water pollution based on the grey correlation method is designed. According to the historical data of agricultural non-point source water pollution, the influencing factors of water pollution degree are determined by using the grey correlation method, and standardized pretreatment is carried out. The pretreatment results are transformed into function expression forms, and the original sequences of different influencing factors are generated, which are brought into the function table to achieve the results, and the whitening differential equation is constructed to measure the concentration of agricultural non-point source water pollution. The structure design of the prediction model of agricultural non-point source water pollution can realize the prediction of agricultural non-point source water pollution. The results show that the prediction model of agricultural non-point source water pollution based on the grey correlation method has high prediction accuracy and small prediction error.

As one of the basic elements of the ecosystem and natural environment, the soil is closely related to human life. However, the problem of soil environment pollution is becoming more and more serious, which needs to be solved urgently. It will provide a reference for solving the problem of soil environment pollution if a suitable method can be found to evaluate the degree of soil environment pollution. The degree of soil environment pollution belongs to the fuzzy concept. It is a fuzzy pattern recognition problem to evaluate the degree of soil environment pollution according to the soil environment level standard value. The fuzzy pattern recognition method of soil environment pollution assessment makes full use of the fuzzy characteristics existing in soil environment assessment, considers the common influence of the weight of evaluation factors and the index value, and also considers the correlation between indexes and the similarity of index characteristics of different sampling points, therefore, the interference of some man-made certain factors is concealed. The model was applied to the soil sampling point in Wudi County of Shandong Province in the Yellow River basin of China. The results showed that the evaluation of soil environment pollution by this method accorded with the actual situation and can provide a basis for ensuring the stability of soil ecological environment, improving the quality of cultivated land, and improving regional ecological conditions. At the same time, in view of the current problem of soil environment pollution, the paper calls on human beings to pay attention to environmental protection and be responsible for their own safety and also proposes four aspects of treatment schemes and measures.