Novel framework for modelling the cadmium balance and accumulation in farmland soil in Zhejiang Province, East China: Sensitivity analysis, parameter optimisation, and forecast for 2050

Modelling the mass balance and forecasting the temporal variations of cadmium (Cd) in farmland soil play a critical role in the development of mitigation strategies for Cd pollution. In this study, a novel framework integrating the mass balance model with model-independent parameter estimation, geo-statistics, and bagging algorithms were integrated to simulate the long-term changes in the Cd content of farmland soil in Zhejiang Province, China. The predicted Cd content in farmland soil in 2013 was compared to observed data (R value = 0.568 and root-mean-square error = 0.177 mg kg(-1)), demonstrating the feasibility of our model. The prediction results for 2050 indicated that the average concentration of Cd in farmland soil from Zhejiang Province will increase to 0.30 mg kg(-1) if the current trend continues, and that 37.4% of the farmland soil in the province will be classified as a security utilisation region, indicating great risk of soil Cd contamination in these areas. Reducing industrial emissions and soil acidification to reduce the Cd pollution risk should receive great attention. This study provides a new perspective for forecasting the temporal trends of Cd accumulation in farmland soil and facilitates improved management and risk prevention of Cd pollution in agricultural soils and products. (c) 2020 Elsevier Ltd. All rights reserved.

Automated summary

This study used a novel framework to predict the long-term changes in Cd content in farmland soil in Zhejiang Province, China, showing that if current trends continue, the risk of Cd pollution will increase.