Spatial distribution forecasting method for heavy metal of cadmium in flat terrain area soil

Abstract

The invention discloses a spatial distribution forecasting method for heavy metal of cadmium in flat terrain area soil. The method comprises: firstly, utilizing a radial basis function neural network model to create the non-linear mapping relationships of various influencing factors on the cadmium content in soil; based on the change of correlation of the various influencing factors in different scopes from an analyzing region, dividing the analyzing region into a region within a 10km scope and a region beyond a 10km scope; constructing neural network models that reveal the non-linear mapping relationships of the various influencing factors on the cadmium content in soil respectively; and using the HASM model to simulate the residuals of the forecasting result by the neural network models so as to obtain the forecasting result of the spatial distribution of cadmium in soil in the analyzing region. According to the invention, the forecasting accuracy of the forecasting result to the verification point increases by 5.56% to 17.65%. And at the same time, the method could well reflect the detailed information of the spatial change of cadmium content in soil in an analyzing region.

Description

technical field [0001] The invention belongs to the technical field of measuring soil heavy metal content, and in particular relates to a method for predicting the spatial distribution of heavy metal cadmium in soil in flat terrain areas. Background technique [0002] Soil change is one of the important contents of the current global environmental change. In recent years, with the rapid development of social economy, the large-scale application of chemical fertilizers and pesticides, and the continuous increase of industrial sewage discharge, the pressure on my country's soil environment is increasing. Among them, soil heavy metal pollution, which has poor mobility and is difficult to be degraded by microorganisms, is particularly serious. Soil heavy metal pollution will not only lead to crop yield reduction or failure, but also enter the food chain or pollute the atmosphere, endanger the health of humans and animals, and cause chronic diseases. At present, about 1 / 5 of the...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a method for predicting the spatial distribution of heavy metal cadmium in soil in gentle terrain, aiming at solving the problem that the existing spatial distribution prediction method for heavy metal cadmium in soil cannot reasonably select and express the influencing factors of the spatial distribution of heavy metal in soil in gentle terrain. It can accurately capture the non-linear relationship between various influencing factors and soil heavy metals, so that it is impossible to accurately obtain the spatial distribution information of regional soil heavy metals

Images