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Global Inventory of Fluoropolymer Production Plants and Their Associated PFAS Environmental Contamination

Miller, Anna J.; Kleemann, Kevin; Glüge, Juliane; Lohmann, Rainer; Cousins, Ian T.; Herzke, Dorte; Miller, Mark F.; Rensmo, Amanda; Trier, Xenia; Wang, Zhanyun; Scheringer, Martin

Fluoropolymers are widely used across sectors, but their production is associated with emissions of perfluoroalkyl and polyfluoroalkyl substances (PFASs), which are mobile, persistent, and toxic. In this work, we compiled a global inventory of fluoropolymer production plants (FPPs) and assembled PFAS concentration measurements for various media in their vicinity. We identified 52 currently operating FPPs across 11 countries and 41 cities. For 12 FPPs, in 12 different cities, there are peer-reviewed site-specific PFAS measurements specifically attributed to the FPP. At these 12 sites, at least 236 individual PFASs have been detected across multiple environmental media, including surface water, groundwater, air, dust, soils, sediments, plants, animals, and humans, with reported detections at distances of up to approximately 150 km from FPPs. Perfluoroalkyl carboxylic acids (PFCAs) and perfluoroalkyl ether carboxylic acids (PFECAs) were most frequently measured, often at concentrations two to three orders of magnitude higher than those measured in regions without nearby FPPs. Using high-resolution population data, we estimate that approximately 14 ± 2 million people (uncertainty reflecting ± 10 km uncertainty in facility locations) live within 10 km of an FPP. These people are potentially affected by FPP-associated contamination, with the largest population shares in China (≈52%), Japan (≈24%), Europe (≈13%), and the United States (≈9%). These regional proportions largely mirror differences in population density and the number of identified production facilities. This inventory reveals the large and complex global scale of PFAS contamination from fluoropolymer production, underscoring the need for expanded systematic monitoring and risk management efforts, including regulation.

2026

Global intercomparison of polyurethane foam passive air samplers evaluating sources of variability in SVOC measurements

Melymuk, Lisa; Bohlin-Nizzetto, Pernilla; Harner, Tom; White, Kevin B.; Wang, Xianyu; Tominaga, Maria Yumiko; He, Jun; Li, Jun; Ma, Jianmin; Ma, Wan-Lin; Aristizábal, Beatriz H.; Dreyer, Annekatrin; Jiménez, Begoña; Muñoz-Arnanz, Juan; Odabasi, Mustafa; Dumanoglu, Yetikin; Yaman, Baris; Graf, Carola; Sweetman, Andrew; Klánova, Jana

Polyurethane foam passive air samplers (PUF-PAS) are the most common type of passive air sampler used for a range of semi-volatile organic compounds (SVOCs), including regulated persistent organic pollutants (POPs) and polycyclic aromatic hydrocarbons (PAHs), and emerging contaminants (e.g., novel flame retardants, phthalates, current-use pesticides). Data from PUF-PAS are key indicators of effectiveness of global regulatory actions on SVOCs, such as the Global Monitoring Plan of the Stockholm Convention on Persistent Organic Pollutants. While most PUF-PAS use similar double-dome metal shielding, there is no standardized dome size, shape, or deployment configuration, with many different PUF-PAS designs used in regional and global monitoring. Yet, no information is available on the comparability of data from studies using different PUF-PAS designs. We brought together 12 types of PUF-PAS used by different research groups around the world and deployed them in a multi-part intercomparison to evaluate the variability in reported concentrations introduced by different elements of PAS monitoring. PUF-PAS were deployed for 3 months in outdoor air in Kjeller, Norway in 2015–2016 in three phases to capture (1) the influence of sampler design on data comparability, (2) the influence of analytical variability when samplers are analyzed at different laboratories, and (3) the overall variability in global monitoring data introduced by differences in sampler configurations and analytical methods. Results indicate that while differences in sampler design (in particular, the spacing between the upper and lower sampler bowls) account for up to 50 % differences in masses collected by samplers, the variability introduced by analysis in different laboratories far exceeds this amount, resulting in differences spanning orders of magnitude for POPs and PAHs. The high level of variability due to analysis in different laboratories indicates that current SVOC air sampling data (i.e., not just for PUF-PAS but likely also for active air sampling) are not directly comparable between laboratories/monitoring programs. To support on-going efforts to mobilize more SVOC data to contribute to effectiveness evaluation, intercalibration exercises to account for uncertainties in air sampling, repeated at regular intervals, must be established to ensure analytical comparability and avoid biases in global-scale assessments of SVOCs in air caused by differences in laboratory performance.

2021

Global inter-comparison of polyurethane foam passive air samplers evaluating variability due to sampler design and analysis

Melymuk, L.; Bohlin-Nizzetto, Pernilla; Harner, T.; Klanova, J.; Arnador-Munoz, O.; Zuluaga, B. A.; Tominaga, M. Y.; Sweetman, Andrew J.; Jimenez, B.; Dreyer, A.; Odabasi, M.; He, J.; Ma, W.; Ma, J.; Zhang, G.; Mueller, J.; Paxman, C.; Wang, X.

2018

Global Historical Stocks and Emissions of PBDEs

Abbasi, Golnoush; Li, Li; Breivik, Knut

The first spatially and temporally resolved inventory of BDE28, 47, 99, 153, 183, and 209 in the anthroposphere and environment is presented here. The stock and emissions of PBDE congeners were estimated using a dynamic substance flow analysis model, CiP-CAFE. To evaluate our results, the emission estimates were used as input to the BETR-Global model. Estimated concentrations were compared with observed concentrations in air from background areas. The global (a) in-use and (b) waste stocks of ∑5BDE(28, 47, 99, 153, 183) and BDE209 are estimated to be (a) ∼25 and 400 kt and (b) 13 and 100 kt, respectively, in 2018. A total of 6 (0.3–13) and 10.5 (9–12) kt of ∑5BDE and BDE209, respectively, has been emitted to the atmosphere by 2018. More than 70% of PBDE emissions during production and use occurred in the industrialized regions, while more than 70% of the emissions during waste disposal occurred in the less industrialized regions. A total of 70 kt of ∑5BDE and BDE209 was recycled within products since 1970. As recycling rates are expected to increase under the circular economy, an additional 45 kt of PBDEs (mainly BDE209) may reappear in new products.

2019

Global HCFC-22 measurements with MIPAS: retrieval, validation, global distribution and its evolution over 2005-2012.

Chirkov, M.; Stiller, G. P.; Laeng, A.; Kellmann, S.; von Clarmann, T.; Boone, C. D.; Elkins, J. W.; Engel, A.; Glatthor, N.; Grabowski, U.; Harth, C. M.; Kiefer, M.; Kolonjari, F.; Krummel, P. B.; Linden, A.; Lunder, C. R.; Miller, B. R.; Montzka, S. A.; Mühle, J.; O'Doherty, S.; Orphal, J.; Prinn, R. G.; Toon, G.; Vollmer, M. K.; Walker, K. A.; Weiss, R. F.; Wiegele, A.; Young, D.

2016

Global greenhouse gas reconciliation 2022

Deng, Zhu; Ciais, Philippe; Hu, Liting; Martinez, Adrien; Saunois, Marielle; Thompson, Rona Louise; Tibrewal, Kushal; Peters, Wouter; Byrne, Brendan; Grassi, Giacomo; Palmer, Paul I.; Luijkx, Ingrid T.; Liu, Zhu; Liu, Junjie; Fang, Xuekun; Wang, Tengjiao; Tian, Hanqin; Tanaka, Katsumasa; Bastos, Ana; Sitch, Stephen; Poulter, Benjamin; Albergel, Clement; Tsuruta, Aki; Maksyutov, Shamil; Janardanan, Rajesh; Niwa, Yosuke; Zheng, Bo; Thanwerdas, Joel; Belikov, Dmitry; Segers, Arjo; Chevallier, Frédéric

In this study, we provide an update on the methodology and data used by Deng et al. (2022) to compare the national greenhouse gas inventories (NGHGIs) and atmospheric inversion model ensembles contributed by international research teams coordinated by the Global Carbon Project. The comparison framework uses transparent processing of the net ecosystem exchange fluxes of carbon dioxide (CO2) from inversions to provide estimates of terrestrial carbon stock changes over managed land that can be used to evaluate NGHGIs. For methane (CH4), and nitrous oxide (N2O), we separate anthropogenic emissions from natural sources based directly on the inversion results to make them compatible with NGHGIs. Our global harmonized NGHGI database was updated with inventory data until February 2023 by compiling data from periodical United Nations Framework Convention on Climate Change (UNFCCC) inventories by Annex I countries and sporadic and less detailed emissions reports by non-Annex I countries given by national communications and biennial update reports. For the inversion data, we used an ensemble of 22 global inversions produced for the most recent assessments of the global budgets of CO2, CH4, and N2O coordinated by the Global Carbon Project with ancillary data. The CO2 inversion ensemble in this study goes through 2021, building on our previous report from 1990 to 2019, and includes three new satellite inversions compared to the previous study and an improved managed-land mask. As a result, although significant differences exist between the CO2 inversion estimates, both satellite and in situ inversions over managed lands indicate that Russia and Canada had a larger land carbon sink in recent years than reported in their NGHGIs, while the NGHGIs reported a significant upward trend of carbon sink in Russia but a downward trend in Canada. For CH4 and N2O, the results of the new inversion ensembles are extended to 2020. Rapid increases in anthropogenic CH4 emissions were observed in developing countries, with varying levels of agreement between NGHGIs and inversion results, while developed countries showed a slowly declining or stable trend in emissions. Much denser sampling of atmospheric CO2 and CH4 concentrations by different satellites, coordinated into a global constellation, is expected in the coming years. The methodology proposed here to compare inversion results with NGHGIs can be applied regularly for monitoring the effectiveness of mitigation policy and progress by countries to meet the objectives of their pledges. The dataset constructed for this study is publicly available at https://doi.org/10.5281/zenodo.13887128 (Deng et al., 2024).

2025

Global GHG Emissions and Budgets

Canadell, Josep G.; Andrew, Robbie; Ciais, Philippe; Davidson, Eric; Davis, Steven; Friedlingstein, Pierre; Jackson, Robert B.; Quéré, Corinne Le; Peters, Glen Philip; Thompson, Rona Louise; Tian, Hanqin; Liu, Zhu

2021

Global Fire Monitoring

Kaiser, Johannes; Liu, Zixia; Tomaso, Enza Di; Parrington, Mark

2024

Global fields of the methane isotopic ratio constrained with observations

Zwaaftink, Christine Groot; Thompson, Rona Louise; Tsuruta, Aki; Röckmann, Thomas; Levin, Ingeborg; Platt, Stephen Matthew

2023

Global environment outlook - Geo-6. Technical summary

Gupta, Joyeeta; Ekins, Paul; Boileau, Pierre (eds.) Asrar, Ghassem; Baker, Elaine; Banuri, Tariq; Bemigisha, Jane; Clark, Graeme; Crump, John; Mayocyoc-Daguitan, Florence; Davies, Jonathan; Dickerson, Phillip; Dronin, Nicoalai; Elder, Mark; Gaddis, Erica; Gensuo, Jia; Grobicki, Anna Maria; Guerreiro, Cristina; Guhl, Andres; Harris, Peter; Hay, Rowena; Hedden, Steve; Jacob, Klaus; Kainuma, Mikiko; Keating, Terry; King, Peter; Lehohla, Pali; Loewe, Christian; Lucas, Paul; Mangalagiu, Diana; Martino, Diego; McClain, Shanna; McMullen, Catherine; Mensah, Adelina; Murthy, Indu K.; Mwangi, Charles; Nzioka, John Muthama; Park, Jacob; Pereira, Laura; Prates, Fernando Filgueira; Rast, Walter; Rice, Jake; Seager, Joni; Sonntag, William; Stoett, Peter; Tan, Michelle; Vuuren, Detlef van; Zenghelis, Dimitri Alexis

he sixth Global Environment Outlook was launched in 2019 at the fourth UN Environment Assembly. It highlighted the ongoing damage to life and health from pollution and land degradation, and warned that zoonosis was already accounting for more than 60% of human infectious diseases. Since then the spread of COVID-19 has demonstrated the enormous challenges a global pandemic can cause for health care systems and the economy, as well as revealing potential environmental benefits of an altered lifestyle. This Technical Summary synthesizes the science and data in the GEO-6 report to make it accessible to a broad audience of policymakers, students and scientists. It demonstrates that more urgent and sustained action is required to address the degradation caused by our energy, food and waste systems and identifies a variety of transformational pathways for those seeking far-reaching policies for environmental and economic recovery.

Cambridge University Press

2021

Global emissions of mercury to the atmosphere.

Wilson, S.; Kondbom, K.; Yaramenka, K.; Steenhuisen, F.; Telmer, K.; Munthe, J. Contributing authors: Devia, L.; Gustafsson, T.; Jozewicz, W.; Kumari, R.; Leaner, J.; Maag, J.; Maioli, O.L.G.; Maxson, P.; Nelson, P.; Pacyna, J.; Pudasainee, D.; Seo, Y.C.; Sloss, L.; Solorzano, G.; Strum, M.; Sundseth, K.; Suzuki, N.

2013

Global emissions of mercury to the atmosphere in 2005 and their 2020 scenarios.

Pacyna, J.M.; Pacyna, E.G.; Sundseth, K.; Munthe, J.; Wilson, S.; Leaner, J.

2010

Global emissions of mercury to the atmosphere in 2005 and their 2020 scenarios. NILU PP

Pacyna, J.M.; Pacyna, E.G.; Sundseth, K.; Munthe, J.; Wilson, S.; Leaner, J.

2009

Global emissions of mercury to the atmosphere in 2005 and their 2020 scenarios.

Pacyna, J.M, Pacyna, E.G.; Sundseth, K.; Munthe, J.; Wilson, S.; Leaner, J.

2010

Global emissions of mercury to the atmosphere in 2005 and their 2020 scenarios. NILU F

Pacyna, J.M.; Pacyna, E.G.; Sundseth, K.; Munthe, J.; Wilson, S.; Leaner, J.

2008

Global emissions of industrial POPs - is there a shift in source regions? NILU F

Breivik, K.; Chakraborty, P.; Eckhardt, S.; Gioia, R.; Jones, K.C.; Pacyna, J.M.; Sweetman, A.J.; Zhang, G.

2011

Global emissions of HFC-143a (CH3CF3) and HFC-32 (CH2F2) from in situ and air archive atmospheric observations.

O'Doherty, S.; Rigby, M.; Mühle, J.; Ivy, D. J.; Miller, B. R.; Young, D.; Simmonds, P. G.; Reimann, S.; Vollmer, M. K.; Krummel, P. B.; Fraser, P. J.; Steele, L. P.; Dunse, B.; Salameh, P. K.; Harth, C. M.; Arnold, T.; Weiss, R. F.; Kim, J.; Park, S.; Li, S.; Lunder, C.; Hermansen, O.; Schmidbauer, N.; Zhou, L. X.; Yao, B.; Wang, R. H. J.; Manning, A. J.; Prinn, R. G.

2014

Global emissions of atmospheric microplastics revealed from inverse modelling

Evangeliou, Nikolaos; Tichy, Ondrej; Eckhardt, Sabine; Brahney, Janice

2021

Global emissions and abundances of chemically and radiatively important trace gases from the AGAGE network

Western, Luke M.; Rigby, Matthew; Mühle, Jens; Krummel, Paul B.; Lunder, Chris Rene; O'Doherty, Simon; Reimann, Stefan; Vollmer, Martin K.; Young, Dickon; Adam, Ben; Fraser, Paul J.; Ganesan, Anita L.; Harth, Christina M.; Hermansen, Ove; Kim, Jooil; Langenfelds, Ray L.; Loh, Zoë M.; Mitrevski, Blagoj; Pitt, Joseph R.; Salameh, Peter K.; Schmidt, Roland; Stanley, Kieran; Stavert, Ann R.; Wang, Hsiang-Jui; Weiss, Ray F.; Prinn, Ronald G.

Measurements from the Advanced Global Atmospheric Gases Experiment (AGAGE) combined with a global 12-box model of the atmosphere have long been used to estimate global emissions and surface mean mole fraction trends of atmospheric trace gases. Here, we present annually updated estimates of these global emissions and mole fraction trends for 42 compounds through 2023 measured by the AGAGE network, including chlorofluorocarbons, hydrochlorofluorocarbons, hydrofluorocarbons, perfluorocarbons, sulfur hexafluoride, nitrogen trifluoride, methane, nitrous oxide, and selected other compounds. The data sets are available at https://doi.org/10.5281/zenodo.15372480 (Western et al., 2025). We describe the methodology to derive global mole fraction and emissions trends, which includes the calculation of semihemispheric monthly mean mole fractions, the mechanics of the 12-box model and the inverse method that is used to estimate emissions from the observations and model. Finally, we present examples of the emissions and mole fraction data sets for the 42 compounds.

2025

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