地表径流
均方误差
分水岭
扩散
土壤科学
污染
环境科学
水文学(农业)
沉积物
沉积作用
计算机科学
统计
地质学
数学
岩土工程
物理
生物
热力学
生态学
古生物学
机器学习
作者
Linlin Li,Bo Wu,Shuhai Guo,Enzhu Hu,Yunlong Zhang,Lixia Sun,Shuqi Li
标识
DOI:10.1016/j.jhazmat.2024.133461
摘要
This study combined process simulation and actual measurement to construct a multipath diffusion and spatial accumulation model of Cd in a typical lead-zinc mining area through accuracy and root mean square error(RMSE) analysis. The results indicated that (1) the diffusion of Cd was in a quadratic inverse proportional relationship with the distance from the pollution source within watershed. The average annual atmospheric Cd sedimentation in study area was 0.71 * 10-6 g and the contribution of runoff diffusion to Cd exceeded 80%. (2) With the increase in the concentration range of Cd content (k) carried by unit runoff sediment, the model accuracy and RMSE showed decreasing trends. However, when the lower and upper limits of k were 10% and 90%, the model accuracy reached 75%. (3) Two sub-watersheds with same dominant wind direction but different runoff directions were selected to verify the model accuracy, indicating that the model construction method can precisely simulate the spatial accumulation of Cd in similar mining areas. The results provide a scientific basis for the prevention of heavy metal diffusion in lead-zinc mines. Future research should focus on the migration pathways of heavy metals through vertical infiltration caused by rainfall to further optimise the model structure and accuracy.
科研通智能强力驱动
Strongly Powered by AbleSci AI