首页> 外文期刊>Applied Geochemistry: Journal of the International Association of Geochemistry and Cosmochemistry >Improved geochemical modeling of lead solubility in contaminated soils by considering colloidal fractions and solid phase EXAFS speciation
【24h】

Improved geochemical modeling of lead solubility in contaminated soils by considering colloidal fractions and solid phase EXAFS speciation

机译:考虑胶体分数和固相exafs形态,改善污染土壤中铅溶解度的地球化学建模

获取原文
获取原文并翻译 | 示例
           

摘要

Lead (Pb) is a common contaminant in soils at e.g. mining, shooting range, and glassworks sites. In order to make reliable risk assessments and appropriate decisions on various "gentle remediation options", such as applying phosphate, compost, or zero-valent iron to soils, the binding mechanism of Pb and its speciation needs to be known. Multi-surface geochemical equilibrium models are useful tools for estimating trace metal solubility and speciation, but for Pb the predictions are often poor. This study evaluates the recent parameterization for Pb in the Visual MINTEQ code for its ability to predict the solubility of Pb at different pH values in four historically contaminated Swedish soils. As an independent validation of the model performance, the modeled solid-phase speciation was compared to measured Pb speciation retrieved using extended X-ray absorption fine structure (EXAFS) spectroscopy. Furthermore, potential artefacts by the presence of Pb colloids were investigated by filtering solutions through both 0.45 pm and 10 kDa fillers. The model accuracy for predicting Pb solubility was improved compared with previous studies producing log root mean square error (RMSE) values below 0.42 in three out of four soils, just by using generic assumptions. The use of ultrafiltered ( 10 kDa) instead of the 0.45 mu m-filtered Pb concentrations lowered the RMSE with similar to 0.4 log units in two soils, giving a more accurate evaluation of the model performance. EXAFS proved to be a useful tool for validating and constraining the model, since the solid phase speciation did not exactly agree with the modeled results using default assumptions. However, a sample-specific optimization of the amount of "active" solid organic matter and Al + Fe hydroxides resulted in improved prediction of Pb solubility as well as better agreement with the EXAFS measurements. Solubility of Pb in the fourth, As-rich soil was probably controlled by Pb-5 (AsO4)(3)Cl (mimetite) with a solubility
机译:铅(Pb)是例如土壤中的常见污染物。采矿,射击范围和玻璃窗网站。为了对各种“温和修复选择”进行可靠的风险评估和适当的决定,例如将磷酸盐,堆肥或零价铁施加到土壤中,需要已知PB的结合机制及其物种。多表面地球化学均衡模型是用于估计痕量金属溶解度和形态的有用工具,但对于PB来说,预测通常很差。本研究评估了Visual Minteq守则中Pb的最近参数化,以便能够在历史上污染的瑞典土壤中预测Pb在不同pH值下的溶解度。作为模型性能的独立验证,将建模的固相物质进行比较,以使用延长的X射线吸收细结构(EXAFS)光谱检测测量的PB物质。此外,通过0.45μm和10kDa填料过滤溶液来研究通过Pb胶体存在的潜在伪影。与先前的研究相比,改善了预测PB溶解度的模型精度,并通过使用通用假设在三种土壤中产生低于0.42的均值低于0.42的研究。使用超滤(&lt 19 kda)而不是0.45 mu m滤过的pb浓度降低了与两种土壤中的0.4对数单元相似的RMSE,对模型性能进行了更准确的评估。 EXAFS被证明是用于验证和约束模型的有用工具,因为固态物种形态与使用默认假设的建模结果完全同意。然而,“活性”固体有机物质和Al + Fe氢氧化物的样品的特异性优化导致Pb溶解度的预测结果改善,以及与EXAFS测量更好的协议。 PB在第四,富含土壤中的溶解度可能由PB-5(ASO 4)(3)Cl(3)Cl(Mimetite)控制,具有溶解度

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号