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中国土壤中铜的土壤生态标准推导

Derivation of Soil Ecological Criteria for Copper in Chinese Soils.

作者信息

Wang Xiaoqing, Wei Dongpu, Ma Yibing, McLaughlin Mike J

机构信息

Department of Environmental Engineering and Chemistry, Luoyang Institute of Science and Technology, Luoyang, P. R. China; Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, P. R. China.

Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, P. R. China.

出版信息

PLoS One. 2015 Jul 24;10(7):e0133941. doi: 10.1371/journal.pone.0133941. eCollection 2015.

Abstract

Considerable information on copper (Cu) ecotoxicity as affected by biological species and abiotic properties of soils has been collected from the last decade in the present study. The information on bioavailability/ecotoxicity, species sensitivity and differences in laboratory and field ecotoxicity of Cu in different soils was collated and integrated to derive soil ecological criteria for Cu in Chinese soils, which were expressed as predicted no effect concentrations (PNEC). First, all ecotoxicity data of Cu from bioassays based on Chinese soils were collected and screened with given criteria to compile a database. Second, the compiled data were corrected with leaching and aging factors to minimize the differences between laboratory and field conditions. Before Cu ecotoxicity data were entered into a species sensitivity distribution (SSD), they were normalized with Cu ecotoxicity predictive models to modify the effects of soil properties on Cu ecotoxicity. The PNEC value was set equal to the hazardous concentration for x% of the species (HCx), which could be calculated from the SSD curves, without an additional assessment factor. Finally, predictive models for HCx based on soil properties were developed. The soil properties had a significant effect on the magnitude of HCx, with HC5 varying from 13.1 mg/kg in acidic soils to 51.9 mg/kg in alkaline non-calcareous soils. The two-factor predictive models based on soil pH and cation exchange capacity could predict HCx with determination coefficients (R2) of 0.82-0.91. The three-factor predictive models--that took into account the effect of soil organic carbon--were more accurate than two-factor models, with R2 of 0.85-0.99. The predictive models obtained here could be used to calculate soil-specific criteria. All results obtained here could provide a scientific basis for revision of current Chinese soil environmental quality standards, and the approach adopted in this study could be used as a pragmatic framework for developing soil ecological criteria for other trace elements in soils.

摘要

在本研究中,我们收集了过去十年间有关生物物种和土壤非生物特性对铜(Cu)生态毒性影响的大量信息。整理并整合了不同土壤中铜的生物有效性/生态毒性、物种敏感性以及实验室和野外生态毒性差异等信息,以得出中国土壤中铜的土壤生态标准,该标准以预测无效应浓度(PNEC)表示。首先,收集基于中国土壤的生物测定中所有铜的生态毒性数据,并根据给定标准进行筛选,以编制数据库。其次,用淋溶和老化因子对汇编数据进行校正,以尽量减少实验室和野外条件之间的差异。在将铜生态毒性数据输入物种敏感性分布(SSD)之前,先用铜生态毒性预测模型对其进行归一化处理,以修正土壤性质对铜生态毒性的影响。PNEC值设定为x%物种的危险浓度(HCx),可根据SSD曲线计算得出,无需额外的评估因子。最后,建立了基于土壤性质的HCx预测模型。土壤性质对HCx的大小有显著影响,HC5在酸性土壤中为13.1 mg/kg,在碱性非钙质土壤中为51.9 mg/kg。基于土壤pH值和阳离子交换容量的双因子预测模型能够预测HCx,决定系数(R2)为0.82 - 0.91。考虑土壤有机碳影响的三因子预测模型比双因子模型更准确,R2为0.85 - 0.99。这里得到的预测模型可用于计算特定土壤的标准。本研究获得的所有结果可为修订现行中国土壤环境质量标准提供科学依据,本研究采用的方法可作为制定土壤中其他微量元素土壤生态标准的实用框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/deb4/4514794/e6db98630e67/pone.0133941.g001.jpg

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