PFAS Contamination in Europe: Generating Knowledge and Mapping Known and Likely Contamination with “Expert-Reviewed” Journalism

污染 地理定位 透明度(行为) 新闻 环境科学 环境规划 环境资源管理 政治学 计算机科学 法学 万维网 生态学 生物
作者
Alissa Cordner,Phil Brown,Ian T. Cousins,Martin Scheringer,Luc Martinon,Gary Dagorn,Raphaëlle Aubert,Leana Hosea,Rachel Salvidge,Catharina Felke,Nadja Tausche,Daniel Drepper,Gianluca Liva,Ana Tudela,Antonio Delgado,Derrick Salvatore,Sarah Pilz,Stéphane Horel
出处
期刊:Environmental Science & Technology [American Chemical Society]
卷期号:58 (15): 6616-6627 被引量:48
标识
DOI:10.1021/acs.est.3c09746
摘要

While the extent of environmental contamination by per- and polyfluoroalkyl substances (PFAS) has mobilized considerable efforts around the globe in recent years, publicly available data on PFAS in Europe were very limited. In an unprecedented experiment of "expert-reviewed journalism" involving 29 journalists and seven scientific advisers, a cross-border collaborative project, the "Forever Pollution Project" (FPP), drew on both scientific methods and investigative journalism techniques such as open-source intelligence (OSINT) and freedom of information (FOI) requests to map contamination across Europe, making public data that previously had existed as "unseen science". The FPP identified 22,934 known contamination sites, including 20 PFAS manufacturing facilities, and 21,426 "presumptive contamination sites", including 13,745 sites presumably contaminated with fluorinated aqueous film-forming foam (AFFF) discharge, 2911 industrial facilities, and 4752 sites related to PFAS-containing waste. Additionally, the FPP identified 231 "known PFAS users", a new category for sites with an intermediate level of evidence of PFAS use and considered likely to be contamination sources. However, the true extent of contamination in Europe remains significantly underestimated due to a lack of comprehensive geolocation, sampling, and publicly available data. This model of knowledge production and dissemination offers lessons for researchers, policymakers, and journalists about cross-field collaborations and data transparency.
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
多多发布了新的文献求助10
刚刚
李爱国应助美好的曲奇采纳,获得30
1秒前
所所应助美好的曲奇采纳,获得10
1秒前
1秒前
1秒前
2秒前
Xiaobai发布了新的文献求助10
2秒前
搜集达人应助honey采纳,获得10
2秒前
2秒前
3秒前
3秒前
呆萌海蓝应助科研通管家采纳,获得10
3秒前
NexusExplorer应助科研通管家采纳,获得10
4秒前
Ava应助科研通管家采纳,获得10
4秒前
4秒前
文艺谷蓝完成签到,获得积分10
4秒前
4秒前
4秒前
科目三应助科研通管家采纳,获得10
4秒前
Ava应助科研通管家采纳,获得10
4秒前
隐形曼青应助科研通管家采纳,获得10
4秒前
无极微光应助科研通管家采纳,获得20
4秒前
orixero应助科研通管家采纳,获得30
4秒前
上官若男应助科研通管家采纳,获得10
4秒前
天天快乐应助科研通管家采纳,获得10
4秒前
顾矜应助科研通管家采纳,获得10
4秒前
BOSLobster应助科研通管家采纳,获得10
4秒前
Lucas应助科研通管家采纳,获得10
4秒前
Ava应助科研通管家采纳,获得10
4秒前
Jasper应助科研通管家采纳,获得10
5秒前
李爱国应助科研通管家采纳,获得10
5秒前
wanci应助科研通管家采纳,获得10
5秒前
FashionBoy应助Dtt采纳,获得10
5秒前
wanci应助科研通管家采纳,获得10
5秒前
乐乐应助科研通管家采纳,获得10
5秒前
zhonglv7应助科研通管家采纳,获得10
5秒前
赘婿应助科研通管家采纳,获得10
5秒前
所所应助科研通管家采纳,获得10
5秒前
思源应助科研通管家采纳,获得10
5秒前
大个应助科研通管家采纳,获得10
5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
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Emmy Noether's Wonderful Theorem 1200
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
基于非线性光纤环形镜的全保偏锁模激光器研究-上海科技大学 800
Signals, Systems, and Signal Processing 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6411746
求助须知:如何正确求助?哪些是违规求助? 8230862
关于积分的说明 17468342
捐赠科研通 5464400
什么是DOI,文献DOI怎么找? 2887288
邀请新用户注册赠送积分活动 1864059
关于科研通互助平台的介绍 1702794