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地下水意外泄漏银纳米颗粒引发的水生生态系统风险评估

Aquatic Ecosystem Risk Assessment Generated by Accidental Silver Nanoparticle Spills in Groundwater.

作者信息

Ramirez Rosember, Martí Vicenç, Darbra R M

机构信息

Resource Recovery and Environmental Management (R2EM), Department of Chemical Engineering, Universitat Politècnica de Catalunya-Barcelona Tech, Diagonal 647, 08028 Barcelona, Catalonia, Spain.

Departamento de Ingeniería, Universidad Tecnológica del Chocó, Carrera 22 No.18B-10, Quibdó 270001, Colombia.

出版信息

Toxics. 2023 Aug 3;11(8):671. doi: 10.3390/toxics11080671.

Abstract

This paper aims to create a new model for assessing the ecosystem risk in rivers and wetlands that are linked to accidental spills of silver nanoparticles (AgNPs) in soil/groundwater. Due to the uncertainty of the modeling inputs, a combination of two well-known risk assessment methodologies (Monte Carlo and fuzzy logic) were used. To test the new model, two hypothetical, accidental AgNP soil spill case studies were evaluated; both of which were located at the end of the Llobregat River basin within the metropolitan area of Barcelona (NE Spain). In both cases, the soil spill reached groundwater. In the first case, it was discharged into a river, and in the second case, it recharged a wetland. Concerning the results, in the first case study, a medium-risk assessment was achieved for most cases (83%), with just 10% of them falling below the future legal threshold concentration value. In the second case study, a high-risk assessment was obtained for most cases (84%), and none of the cases complied with the threshold value. A sensitivity analysis was conducted for the concentration and risk. The developed tool was proven capable of assessing risk in aquatic ecosystems when dealing with uncertain and variable data, which is an improvement compared to other risk assessment methodologies.

摘要

本文旨在创建一个新模型,用于评估与土壤/地下水中银纳米颗粒(AgNPs)意外泄漏相关的河流和湿地生态系统风险。由于建模输入的不确定性,采用了两种著名的风险评估方法(蒙特卡洛法和模糊逻辑法)相结合的方式。为了测试新模型,评估了两个假设的AgNP土壤意外泄漏案例研究;这两个案例均位于西班牙东北部巴塞罗那大都市区内略夫雷加特河流域的末端。在这两个案例中,土壤泄漏均到达了地下水层。在第一个案例中,泄漏物排入了河流,在第二个案例中,泄漏物补给了湿地。关于结果,在第一个案例研究中,大多数情况(83%)实现了中等风险评估,其中只有10%低于未来的法定阈值浓度值。在第二个案例研究中,大多数情况(84%)获得了高风险评估,且没有任何情况符合阈值。对浓度和风险进行了敏感性分析。已证明所开发的工具在处理不确定和可变数据时能够评估水生生态系统中的风险,与其他风险评估方法相比这是一个改进。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f86/10459696/73b0fb116e26/toxics-11-00671-g001.jpg

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