Soil VOCs pollution rapid investigation method based on MIP and machine learning

The invention relates to the technical field of volatile organic compound concentration prediction, and discloses a soil VOCs pollution rapid investigation method based on MIP and machine learning, and the method comprises the following steps: obtaining actual pollutant concentration values of soil samples in a plurality of drill holes in an investigation area; sampling at different depths for each drill hole based on a membrane interface detection system to obtain a plurality of sampling points and parameter data corresponding to each sampling point; training the machine learning model in combination with the actual pollutant concentration value and the parameter data of the soil sample to obtain a prediction model; and acquiring detection data based on a membrane interface detection system, and inputting the detection data into the prediction model to obtain a predicted volatile organic compound concentration value. According to the method, rapid, low-cost and high-precision visualization of soil volatile o