This paper presents a novel chain model named soil–food–human (SFH) for clarifying the biogeochemical cascades among the triple challenges of cadmium contamination, food safety, and related public health effect. The model was developed based on the integration of spatial distribution pattern of soil environment and the biogeochemical process of cadmium in soil–rice–human health, and it was validated through a case study. In soil environment terms, SFH predicted the spatial distribution of soil properties with an average prediction accuracy of 82.28%. In food production terms, the SFH can identify the safe production zones for planting rice and unsafe area for adjusting cropping systems with a relative error of 39.41%. In food consumption terms, SFH mapped the high-resolution map of cadmium exposure dose, which gives a new solution to assess the food safety risks for self-sufficient populations. For the health effect of rice cadmium exposure, SFH simulated the spatiotemporal pattern of urinary cadmium based on toxicokinetic which revealed the health effect of rice cadmium exposure. The chain model provides a new insight in understanding the biogeochemical cascades between food production, food safety, and public health, making it possible to develop a comprehensive strategy to tackle cadmium pollution in soil–rice–human health system.

本文提出了一种名为土壤-食物-人类 (SFH) 的新型链模型，用于阐明镉污染、食品安全和相关公共卫生影响三重挑战之间的生物地球化学级联。该模型基于土壤环境空间分布格局和镉在土壤-水稻-人类健康中的生物地球化学过程的整合，并通过案例研究进行验证。在土壤环境方面，SFH预测土壤性质的空间分布，平均预测准确率为82.28%。在粮食生产方面，SFH可以确定种植水稻的安全生产区和调整种植的不安全区 系统的相对误差为 39.41%。在食品消费方面，SFH绘制了镉暴露剂量的高分辨率地图，为评估自给自足人群的食品安全风险提供了新的解决方案。针对水稻镉暴露对健康的影响，SFH基于毒代动力学模拟了尿镉的时空格局，揭示了水稻镉暴露对健康的影响。该链模型为理解食品生产、食品安全和公共卫生之间的生物地球化学级联提供了新的视角，使制定解决土壤-水稻-人类健康系统中的镉污染的综合策略成为可能。