School of Metallurgy and Environment, Central South University, Changsha 410083, Hunan Province, P. R. China.
Environ Sci Process Impacts. 2018 Aug 16;20(8):1158-1166. doi: 10.1039/c8em00153g.
A simple mathematical model on the basis of the mass balance principle was developed to simulate the long-term changes of Cd in paddy soils. The model predicted the dynamics of cadmium concentration in soils under six alternative control scenarios, including rice straw incorporation into fields (A), removing straw from fields (B), irrigating paddies with groundwater (C), reducing atmospheric Cd deposition (D), liming (E), and integrating measures (F), which were used for Cd contaminated paddy fields in the central subtropical areas of China. The uncertainty of parameters was analyzed using Monte Carlo methods. Scenario simulation results showed that atmospheric deposition was the main external source of Cd, contributing 70% of the total inputs, and plant uptake was an important output pathway, responsible for 92% of the total outputs. Removing straw from fields was more effective than other single control scenarios, and integrating measures were more effective in lowering Cd concentration in contaminated paddy soils. The Cd concentration in soils can meet the critical value (0.3 mg kg-1) in a low-level Cd contaminated paddy field (0.68 mg kg-1) with integrating measures through 40 years of cultivation. In the same case, a high-level Cd contaminated field (1.48 mg kg-1) was converted to a low-level Cd contaminated field (0.54 mg kg-1). However, long term use of lime can increase the Cd concentration in paddy soils. Controllable factors that affected Cd accumulation in paddy soils were plant uptake factors, and the atmospheric deposition flux and irrigation water flux of Cd. Therefore, integrating measures including removing rice straw and preventing the emission of Cd into the atmosphere and irrigation water was the optimal approach to lower Cd concentration in contaminated paddy soils.
基于质量平衡原理,建立了一个简单的数学模型,用于模拟水稻土中 Cd 的长期变化。该模型预测了中国亚热带中部受 Cd 污染的稻田六种替代控制情景(包括将稻草还田、从稻田中去除稻草、用地下水灌溉、减少大气 Cd 沉降、施用石灰和综合措施)下土壤中 Cd 浓度的动态变化。利用蒙特卡罗方法分析了参数的不确定性。情景模拟结果表明,大气沉降是 Cd 的主要外源,占总输入的 70%,植物吸收是重要的输出途径,占总输出的 92%。与其他单一控制情景相比,从稻田中去除稻草更为有效,而综合措施更有利于降低受污染稻田土壤中的 Cd 浓度。通过 40 年的种植,受低水平 Cd 污染(0.68 mg kg-1)的稻田可采用综合措施使土壤 Cd 浓度达到临界值(0.3 mg kg-1),在同一情况下,将高水平 Cd 污染(1.48 mg kg-1)的农田转变为低水平 Cd 污染(0.54 mg kg-1)。然而,长期施用石灰会增加稻田土壤中的 Cd 浓度。影响水稻土中 Cd 积累的可控因素是植物吸收因子、大气沉降通量和灌溉水中的 Cd 通量。因此,包括去除稻草、防止 Cd 排放到大气和灌溉水中的综合措施是降低受污染稻田土壤中 Cd 浓度的最佳方法。