Synchronous stabilization of multi-metal in Pb/Zn smelter-contaminated soil by dithiocarbamate

被引:1
|
作者
Zhao, Wenchu [1 ,2 ]
Wen, Dongdong [1 ,2 ]
Guo, Xiaopin [1 ,2 ]
Fu, Rongbing [1 ,2 ,3 ]
Chen, Shaoqi [4 ]
Xu, Damao [5 ]
机构
[1] Tongji Univ, Coll Environm Sci & Engn, State Key Lab Pollut Control & Resource Reuse, Shanghai 200092, Peoples R China
[2] Tongji Univ, Coll Environm Sci & Engn, UNEP TONGJI Inst Environm Sustainable Dev, Shanghai 200092, Peoples R China
[3] Shanghai Inst Pollut Control & Ecol Secur, Shanghai 200092, Peoples R China
[4] Tongji Univ, Sch Life Sci & Technol, Dept Bioinformat, Shanghai 200092, Peoples R China
[5] China Univ Min & Technol, Sch Environm Sci & Spatial Informat, Xuzhou 221116, Jiangsu, Peoples R China
关键词
Multi-metal stabilization; Pb/Zn smelter-contaminated soil; Dithiocarbamate; Machine learning; HEAVY-METALS; ZINC; LEAD;
D O I
10.1016/j.psep.2024.11.133
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The escalating severity of soil heavy metals (HMs) pollution from ongoing Pb/Zn smelting presents significant challenges. Compared with traditional stabilizers, dithiocarbamate (DTC) has been proven to have unique advantages for multi-metal stabilization in municipal solid waste incineration fly ash. In this study, we evaluated the feasibility of applying DTC for multi-metal synchronous stabilization in Pb/Zn smelter-contaminated soil, and utilized a machine learning (ML) approach to identify the dominant factors affecting the stabilization of Cd, Pb and Zn. After stabilization, the bioavailability of Cd, Pb and Zn decreased over 49.94 %. For the leaching toxicity, it was under 57.04 %. In terms of bioavailability stabilization efficiency, the order is Pb (91.68 %) > Cd (67.06 %) > Zn (49.94 %); for leaching toxicity stabilization efficiency, it is Cd (57.04 %) > Pb (52.51 %) > Zn (16.99 %). The ions of the HMs bind with the ionized organic ions (such as CH3+) of the DTC, resulting in the formation of chelate precipitates that pose less risk to the environment. The contribution rates of influence factors are as followed: stabilizer application rate (SAR) > soil moisture (SM) > types of stabilizers > soil particle size, while SAR has the strongest interaction with SM.
引用
收藏
页码:705 / 715
页数:11
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