Deriving predicted no-effect concentrations (PNECs) for emerging contaminants in the river Po, Italy, using three approaches: Assessment factor, species sensitivity distribution and AQUATOX ecosystem modelling

环境科学 生态系统 污染 生物量(生态学) 污染 生态学 环境化学 全氟辛酸 环境保护 生物 化学
作者
Andrea Gredelj,Alberto Barausse,Laura Grechi,Luca Palmeri
出处
期刊:Environment International [Elsevier]
卷期号:119: 66-78 被引量:86
标识
DOI:10.1016/j.envint.2018.06.017
摘要

Over the past decades, per- and polyfluoroalkyl substances (PFASs) found in environmental matrices worldwide have raised concerns due to their toxicity, ubiquity and persistence. A widespread pollution of groundwater and surface waters caused by PFASs in Northern Italy has been recently discovered, becoming a major environmental issue, also because the exact risk for humans and nature posed by this contamination is unclear. Here, the Po River in Northern Italy was selected as a study area to assess the ecological risk posed by perfluoroalkyl acids (PFAAs), a class of PFASs, considering the noticeable concentration of various PFAAs detected in the Po waters over the past years. Moreover, the Po has a large environmental and socio-economic importance: it is the largest Italian river and drains a densely inhabited, intensely cultivated and heavily industrialized watershed. Predicted no-effect concentrations (PNECs) were derived using two regulated methodologies, assessment factors (AFs) and species sensitivity distribution (SSD), which rely on published ecotoxicological laboratory tests. Results were compared to those of a novel methodology using the mechanistic ecosystem model AQUATOX to compute PNECs in an ecologically-sound manner, i.e. considering physical, chemical, biological and ecological processes in the river. The model was used to quantify how the biomasses of the modelled taxa in the river food web deviated from natural conditions due to varying inputs of the chemicals. PNEC for each chemical was defined as the lowest chemical concentration causing a non-negligible yearly biomass loss for a simulated taxon with respect to a control simulation. The investigated PFAAs were Perfluorooctanoic acid (PFOA) and Perfluorooctanesulfonic acid (PFOS) as long-chained compounds, and Perfluorobutanoic acid (PFBA) and Perfluorobutanesulfonic acid (PFBS) as short-chained homologues. Two emerging contaminants, Linear Alkylbenzene Sulfonate (LAS) and triclosan, were also studied to assess the performance of the three methodologies for chemicals whose ecotoxicology and environmental fate are well-studied. The most precautionary approach was the use of AFs generally followed by SSD and then AQUATOX, except for PFOS, for which AQUATOX yielded a much lower PNEC compared to the other approaches since, unlike the other two methodologies, it explicitly simulates sublethal toxicity and indirect ecological effects. Our findings highlight that neglecting the role of ecological processes when extrapolating from laboratory tests to ecosystems can result in under-protective threshold concentrations for chemicals. Ecosystem models can complement existing laboratory-based methodologies, and the use of multiple methods for deriving PNECs can help to clarify uncertainty in ecological risk estimates.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
建议保存本图,每天支付宝扫一扫(相册选取)领红包
实时播报
乔杰完成签到 ,获得积分10
3秒前
BAI_1完成签到,获得积分10
5秒前
32429606完成签到 ,获得积分10
14秒前
顾矜应助fengw420采纳,获得10
16秒前
临风浩歌完成签到 ,获得积分10
17秒前
拾壹完成签到,获得积分10
19秒前
24秒前
26秒前
小耿木木完成签到,获得积分10
26秒前
认真的奇异果完成签到 ,获得积分10
29秒前
fengw420发布了新的文献求助10
30秒前
30秒前
swordshine完成签到,获得积分0
33秒前
隐形的非笑完成签到 ,获得积分10
37秒前
RLLLLLLL完成签到 ,获得积分10
44秒前
眯眯眼的安雁完成签到 ,获得积分10
44秒前
fengw420完成签到,获得积分10
45秒前
搜集达人应助AM采纳,获得10
45秒前
cqsuper完成签到,获得积分10
48秒前
56秒前
jerseyxin发布了新的文献求助10
1分钟前
英吉利25发布了新的文献求助10
1分钟前
hy完成签到 ,获得积分10
1分钟前
fomo完成签到,获得积分10
1分钟前
陈槊诸完成签到 ,获得积分10
1分钟前
lee完成签到 ,获得积分0
1分钟前
11完成签到 ,获得积分10
1分钟前
jerseyxin完成签到,获得积分10
1分钟前
太叔丹翠完成签到 ,获得积分10
1分钟前
shouz完成签到,获得积分10
1分钟前
hadfunsix完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
YJ完成签到 ,获得积分10
1分钟前
hwa完成签到,获得积分10
1分钟前
marc107发布了新的文献求助10
1分钟前
争当科研巨匠完成签到,获得积分10
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
简单应助科研通管家采纳,获得10
1分钟前
浮游应助科研通管家采纳,获得10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
List of 1,091 Public Pension Profiles by Region 1541
Binary Alloy Phase Diagrams, 2nd Edition 600
Atlas of Liver Pathology: A Pattern-Based Approach 500
A Technologist’s Guide to Performing Sleep Studies 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
Using Genomics to Understand How Invaders May Adapt: A Marine Perspective 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5498606
求助须知:如何正确求助?哪些是违规求助? 4595782
关于积分的说明 14449763
捐赠科研通 4528763
什么是DOI,文献DOI怎么找? 2481712
邀请新用户注册赠送积分活动 1465732
关于科研通互助平台的介绍 1438559