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多环芳烃在哥伦比亚水库中的概率风险评估。

Probabilistic Risk Assessment of Polycyclic Aromatic Hydrocarbons in a Colombian Reservoir.

机构信息

Research Group in Management and Environmental Modeling, GAIA, University of Antioquia, Medellín, Colombia.

Research Group GeoLimna, Faculty of Engineering, University of Antioquia, 67th Street # 53 - 108, Medellín, Colombia.

出版信息

Bull Environ Contam Toxicol. 2022 Sep;109(3):518-525. doi: 10.1007/s00128-022-03567-7. Epub 2022 Jul 23.

DOI:10.1007/s00128-022-03567-7
PMID:35869989
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9392700/
Abstract

The purpose of this research was to evaluate the concentrations, sources and ecological risk assessment of sixteen polycyclic aromatic hydrocarbons (PAHs) present in water from the La Fe reservoir, Colombia in the months of October and November of 2017 and 2018. Concentrations of PAHs in water were measured with semipermeable membrane devices (SPMD) which allow obtaining the dissolved concentrations of the PAHs in the reservoir, emphasizing the reactivity and bioavailability in the environment. The PAHs analyses were carried out by means of gas chromatography, coupled with tandem mass spectrometry (GC/MS-MS) with triple quadrupole (QqQ). The environmental risk assessment using the estimation of risk quotient with deterministic and probabilistic method, the predictive no-effect concentration (PNEC) and environmental exposure concentration (EEC) in water indicate a negligibe risk for probabilistic method for all PAHs evaluated (RQ < 0.1).

摘要

本研究旨在评估 2017 年 10 月至 11 月和 2018 年哥伦比亚拉费水库水中 16 种多环芳烃(PAHs)的浓度、来源和生态风险评估。水中的 PAHs 浓度采用半渗透膜装置(SPMD)进行测量,该装置可获得水库中 PAHs 的溶解浓度,强调了环境中的反应性和生物利用度。通过气相色谱法,与串联质谱(GC/MS-MS)与三重四极杆(QqQ)联用进行 PAHs 分析。使用风险商的确定性和概率评估方法、预测无效应浓度(PNEC)和水中的环境暴露浓度(EEC)进行环境风险评估表明,对于所有评估的 PAHs(RQ<0.1),概率方法的风险可以忽略不计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0718/9392700/8b4fa55453db/128_2022_3567_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0718/9392700/b23833bf556c/128_2022_3567_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0718/9392700/902d71e7b5b9/128_2022_3567_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0718/9392700/ce5a78d0bd7b/128_2022_3567_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0718/9392700/8b4fa55453db/128_2022_3567_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0718/9392700/b23833bf556c/128_2022_3567_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0718/9392700/35a56e9ac726/128_2022_3567_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0718/9392700/902d71e7b5b9/128_2022_3567_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0718/9392700/ce5a78d0bd7b/128_2022_3567_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0718/9392700/8b4fa55453db/128_2022_3567_Fig5_HTML.jpg

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