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通过改进的数学模型量化有机污染物对矿物质的吸附,该模型考虑了矿物质和土壤有机质之间的关联。

Quantification of the sorption of organic pollutants to minerals via an improved mathematical model accounting for associations between minerals and soil organic matter.

机构信息

Institute of Soil and Water Resources and Environmental Science, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China; Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Hangzhou, 310058, China.

Department of Land, Air and Water Resources, University of California - Davis, Davis, CA, USA.

出版信息

Environ Pollut. 2021 Jul 1;280:116991. doi: 10.1016/j.envpol.2021.116991. Epub 2021 Mar 23.

Abstract

The retention of organic pollutant (OP) in soils is commonly attributed to interactions with soil organic matter (SOM), perhaps overlooking substantial involvement of soil minerals. In this study, 36 soil samples with far-ranging ratios of clay to organic carbon were used to examine contribution of minerals on soil sorption of pentachlorophenol (PCP) and phenanthrene (PHE). Sorption isotherms (n = 216) were fit individually using three typical sorption models, with the most fitted K values screened out for quantification of the net mineral contribution to total sorption via development of mathematical model accounting for associations between minerals and SOM. Two mineral-relevant parameters [adsorption distribution coefficient (K) and mineral contribution index (MCI)] were simultaneously defined. Previously reported soil sorption data of PCP, PHE and butachlor (13, 12 and 46, respectively) were also extracted and included to improve the credibility of mathematic model. The average MCI values were calculated as 0.421, 0.405 and 0.512 in PCP, PHE and butachlor treated soils, respectively, very close to or even over than the minerals dominant critical value (0.5). This suggested the significant, or even predominant, contribution of minerals - as compared to SOM. Significant dependence of MCI with four conventional parameters of soil property further offered the possibility to roughly evaluate mineral contributions based on estimated threshold values of soil property parameters (especially TOC). This study provides an accessible approach for predicting the contribution of minerals in soil OP retention, especially highlighting their predominant roles vs. SOM in regulating OP removal in most of subsurface soil or contaminated brownfields where organic carbon content of soil was very low, that was not like what previously believed.

摘要

土壤中有机污染物(OP)的保留通常归因于与土壤有机质(SOM)的相互作用,而可能忽略了土壤矿物质的大量参与。在这项研究中,使用了 36 个具有广泛粘土与有机碳比例的土壤样本,以研究矿物质对五氯苯酚(PCP)和菲(PHE)在土壤中的吸附的贡献。使用三种典型的吸附模型分别拟合吸附等温线(n=216),筛选出最拟合的 K 值,通过开发考虑矿物质与 SOM 之间关联的数学模型,量化矿物质对总吸附的净贡献。同时定义了两个与矿物质相关的参数[吸附分配系数(K)和矿物质贡献指数(MCI)]。还提取并包括了先前报道的 PCP、PHE 和丁草胺(分别为 13、12 和 46)的土壤吸附数据,以提高数学模型的可信度。在 PCP、PHE 和丁草胺处理的土壤中,平均 MCI 值分别计算为 0.421、0.405 和 0.512,非常接近甚至超过矿物质主导临界值(0.5)。这表明矿物质的贡献是显著的,甚至是主要的,与 SOM 相比。MCI 与土壤性质的四个常规参数的显著依赖性进一步提供了基于土壤性质参数(尤其是 TOC)估计阈值粗略评估矿物质贡献的可能性。这项研究提供了一种可访问的方法来预测土壤 OP 保留中矿物质的贡献,特别是强调了它们在调节大多数地下土壤或污染棕地中 OP 去除方面的主要作用,这些土壤中的有机碳含量非常低,这与之前的观点不同。

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