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
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。
实时播报
smith完成签到,获得积分10
刚刚
HH完成签到,获得积分10
1秒前
1秒前
yugto发布了新的文献求助10
1秒前
淡淡菠萝完成签到 ,获得积分10
1秒前
研友_VZG7GZ应助伶俐的冥幽采纳,获得10
1秒前
2秒前
2秒前
Jiaocm完成签到,获得积分10
3秒前
3秒前
伯爵发布了新的文献求助10
3秒前
超级微笑发布了新的文献求助10
4秒前
Owen应助潇月采纳,获得10
4秒前
乔木自燃发布了新的文献求助10
5秒前
5秒前
5秒前
zzq778完成签到,获得积分10
6秒前
英姑应助XIEQ采纳,获得10
7秒前
Ninico发布了新的文献求助10
7秒前
领导范儿应助玖依采纳,获得10
8秒前
隐形曼青应助zkj1989采纳,获得10
8秒前
peeer完成签到,获得积分10
8秒前
陈博发布了新的文献求助10
10秒前
李爱国应助ym采纳,获得10
10秒前
11秒前
烟花应助科研小白采纳,获得30
12秒前
Kikisong完成签到,获得积分10
13秒前
何以完成签到,获得积分10
13秒前
15秒前
15秒前
冷杨发布了新的文献求助10
17秒前
云玉溪完成签到,获得积分10
18秒前
Merphyhe发布了新的文献求助10
18秒前
科研通AI6.2应助liu采纳,获得10
18秒前
vera发布了新的文献求助10
18秒前
李芳发布了新的文献求助10
18秒前
玖依发布了新的文献求助10
18秒前
所所应助昏睡的铃铛采纳,获得10
20秒前
阔达雨琴发布了新的文献求助10
20秒前
22秒前
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
Kinesiophobia : a new view of chronic pain behavior 3000
Les Mantodea de guyane 2500
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 2000
Standard: In-Space Storable Fluid Transfer for Prepared Spacecraft (AIAA S-157-2024) 1000
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5949164
求助须知:如何正确求助?哪些是违规求助? 7120910
关于积分的说明 15914827
捐赠科研通 5082220
什么是DOI,文献DOI怎么找? 2732441
邀请新用户注册赠送积分活动 1692923
关于科研通互助平台的介绍 1615582