As a variant with high spatial differentiation and continuous space time, soil is polluted by various artificial or natural factors, and the pollution of heavy metal Cd is one of the more serious problems. This study took Liaocheng, as the research area and sampled the points in a grid center of 10 km × 10 km to obtain the sampling data of heavy metal Cd in the soil surface layer at depths of 0–20 cm. We selected the environmental background value of Shandong Province as the standard and used the geological accumulation index method to evaluate the pollution status of heavy metal Cd in the experimental area, concluding that there was a moderate level of Cd pollution in the study area. On this basis, we selected soil pH value, soil sub-class, annual average precipitation, annual average surface temperature, elevation data, and change in GDP as the six major influencing factors of heavy metal Cd in the study area by GeoDetector analysis. The correlation between soil heavy metal Cd and the impact factors was explored. The results revealed that soil pH and elevation exerted a large influence on soil Cd content, while annual average surface temperature had the least influence. The interaction of various influencing factors on heavy metal Cd was nonlinearly enhanced, especially the elevation data and annual average precipitation data.

作为具有高空间分异性和连续时空性的变体，土壤受到各种人工或自然因素的污染，重金属镉的污染是更严重的问题之一。本研究以聊城市为研究区，以10 km×10 km的网格中心为采样点，获得了0〜20 cm深度土壤表层重金属Cd的采样数据。以山东省环境背景值为标准，采用地质累积指数法评价实验区重金属镉污染状况，认为研究区镉污染水平中等。在此基础上，我们选择了土壤pH值，土壤亚类，年平均降水量，年平均地表温度，海拔数据，GeoDetector分析表明，GDP的变化是研究区重金属Cd的六个主要影响因素。探讨了土壤重金属镉与影响因子的相关性。结果表明，土壤pH和海拔高度对土壤Cd含量影响较大，而年平均地表温度影响最小。非线性地增加了各种影响因素对重金属镉的相互作用，特别是海拔数据和年平均降水数据。