Ecological risk threshold for chromium in Chinese soils and its prediction models

文献类型： 外文期刊

第一作者： Sun, Xiaoyi

作者： Sun, Xiaoyi;Qin, Luyao;Yu, Lei;Wang, Jing;Liu, Jiaxiao;Wang, Meng;Chen, Shibao

作者机构：

关键词： Chromium; Toxicity threshold; Hormesis; SSD; HCs

期刊名称：ENVIRONMENTAL RESEARCH （ 影响因子：7.7； 五年影响因子：7.7 ）

ISSN： 0013-9351

年卷期： 2024 年 262 卷

页码：

收录情况： SCI

摘要： The derivation of chromium (Cr) ecological risk thresholds in soils remains limited, despite their importance as measurement standards and indicators for enacting soil protection policies. In this study, toxicity of Cr in soil to different species was tested based on Log-Logistic dose-effect relationship. On this basis, combined with Cr toxicity measurement data in literature, the ecological risk threshold HC5 for protecting 95% species safety in soils with different properties was obtained by fitting species sensitivity distribution curve (SSD). This research collected various Cr toxicological data from Chinese cropland soils, based on 31 different endpoints covering soil fauna, functional indicators of microorganisms, terrestrial plants, etc., sourced from both our laboratory and existing literature. We applied the SSD method to estimate the hazardous concentration of Cr for HC5 and ultimately established a predictive model according to HC5 and different soil properties. As a result, the EC10 (an effective concentration of Cr resulting in 10% suppression of terminal biological activity) based on 7 different soils and 4 endpoints ranged from 16.8 to 148.0 mg kg(-1), and the hormesis of Cr induction reached up to 109%. Overall, the toxicity (EC10) to microorganisms was much lower, while it was higher for graminoids. All the toxicity data were corrected through an aging factor with up to 540 days of equilibration before fitting the SSD curves. After that, a prediction model considering HC5 values and soil properties was established as LogHC(5) = 3.003LogpH +0.651LogOC +0.013LogCEC - 0.476. The model was well-verified in field experiments, as the actual and predicted values fell within a 2-fold error range. This approach offers a rigorous scientific foundation for determining the Cr ecological risk threshold and could be important for the conservation of ecological species in soils.

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