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中国南京市东部某铜矿周边污染农田土壤中重金属的固/液分配及形态研究

Solid/solution partitioning and speciation of heavy metals in the contaminated agricultural soils around a copper mine in eastern Nanjing city, China.

作者信息

Luo Xiao-San, Zhou Dong-Mei, Liu Xiao-Hong, Wang Yu-Jun

机构信息

State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China.

出版信息

J Hazard Mater. 2006 Apr 17;131(1-3):19-27. doi: 10.1016/j.jhazmat.2005.09.033. Epub 2005 Nov 2.

Abstract

Solid/solution partition coefficient (Kd) and speciation of soil heavy metals can be used for predicting their environmental risks. The Kd values and solution speciation of soil Cu, Cd and Zn were analyzed in 40 samples of contaminated agricultural soils around Jiuhua copper mine in eastern Nanjing city, China. The Kd ranges (and mean values) for soil Cu, Cd and Zn are 703-7418 (3453), 37.3-3963 (940) and 319-17965 (7244) L kg-1, respectively, showing a large variability both for metals and soils. The results of differential pulse anodic stripping voltammetry (DPASV) indicates that 95.6% solution Cu is bound to dissolved organic ligands. About half of the dissolved Zn is DPASV-labile at pH<6, while 92.1% solution Zn is in the form of organic complexes at pH>6. DPASV-labile Cd is ranged from 22.6 to 98.7% with the mean value of 56.3%. Multiple linear regressions indicate that Kd, the dissolved and DPASV-labile concentrations of Cd and Zn are mostly influenced by the soil solution pH with R2 of 0.50, 0.59 and 0.63, respectively for Cd, and 0.58, 0.72 and 0.64, respectively for Zn. Considering the second parameter of corresponding soil metal, the linear relationships of Kd with pH were improved with R2 of 0.70 and 0.73 for Cd and Zn, respectively. However, the solubility of soil Cu was insensitive to pH. Only SOC shows a weak relationship to the dissolved Cu with R2 of 0.21. As for its Kd, total soil Cu is the most significant factor. But for DPASV-labile Cu, no soil parameters were found to be good predictors.

摘要

固/液分配系数(Kd)和土壤重金属形态可用于预测其环境风险。对中国南京市东部九华铜矿周边40个受污染农田土壤样本中的土壤铜、镉和锌的Kd值及溶液形态进行了分析。土壤铜、镉和锌的Kd范围(及平均值)分别为703 - 7418(3453)、37.3 - 3963(940)和319 - 17965(7244)L kg-1,表明金属和土壤的变异性都很大。差分脉冲阳极溶出伏安法(DPASV)结果表明,95.6%的溶液态铜与溶解的有机配体结合。在pH < 6时,约一半的溶解态锌是DPASV - 不稳定的,而在pH > 6时,92.1%的溶液态锌以有机络合物形式存在。DPASV - 不稳定的镉含量在22.6%至98.7%之间,平均值为56.3%。多元线性回归表明,Kd、镉和锌的溶解态及DPASV - 不稳定浓度主要受土壤溶液pH值影响,镉的R2分别为0.50、0.59和0.63,锌的R2分别为0.58、0.72和0.64。考虑相应土壤金属的第二个参数后,镉和锌的Kd与pH的线性关系得到改善,R2分别为0.70和0.73。然而,土壤铜的溶解度对pH不敏感。只有土壤有机碳(SOC)与溶解态铜呈弱相关,R2为0.21。至于其Kd,土壤总铜是最重要的因素。但对于DPASV - 不稳定的铜,未发现土壤参数是良好的预测指标。

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