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Found 9886 publications. Showing page 238 of 396:

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Global occurrence, chemical properties, and ecological impacts of e-wastes (IUPAC Technical Report)

Purchase, Diane; Abbasi, Golnoush; Bisschop, Lieselot; Chatterjee, Debashish; Ekberg, Christian; Ermolin, Mikhail; Fedotov, Petr; Garelick, Hemda; Isimekhai, Khadijah; Kandile, Nadia G.; Lundström, Mari; Matharu, Avtar; Miller, Bradley W.; Pineda, Antonio; Popoola, Oluseun E.; Retegan, Teodora; Ruedel, Heinz; Serpe, Angela; Sheva, Yehuda; Surati, Kiran R.; Walsh, Fiona; Wilson, Benjamin P.; Wong, Ming Hung

The waste stream of obsolete electronic equipment grows exponentially, creating a worldwide pollution and resource problem. Electrical and electronic waste (e-waste) comprises a heterogeneous mix of glass, plastics (including flame retardants and other additives), metals (including rare Earth elements), and metalloids. The e-waste issue is complex and multi-faceted. In examining the different aspects of e-waste, informal recycling in developing countries has been identified as a primary concern, due to widespread illegal shipments; weak environmental, as well as health and safety, regulations; lack of technology; and inadequate waste treatment structure. For example, Nigeria, Ghana, India, Pakistan, and China have all been identified as hotspots for the disposal of e-waste. This article presents a critical examination on the chemical nature of e-waste and the resulting environmental impacts on, for example, microbial biodiversity, flora, and fauna in e-waste recycling sites around the world. It highlights the different types of risk assessment approaches required when evaluating the ecological impact of e-waste. Additionally, it presents examples of chemistry playing a role in potential solutions. The information presented here will be informative to relevant stakeholders seeking to devise integrated management strategies to tackle this global environmental concern.

2020

Global Nitrous Oxide Budget 1980-2020

Tian, Hanqin; Pan, Naiqing; Thompson, Rona Louise; Canadell, Josep G. ; Suntharalingam, Parvadha; Regnier, Pierre; Davidson, Eric A.; Prather, Michael J.; Ciais, Philippe; Muntean, Marilena; Pan, Shufen; Winiwarter, Wilfried; Zaehle, Sönke; Zhou, Feng; Jackson, Robert B.

2023

Global nitrous oxide budget (1980–2020)

Tian, Hanqin; Pan, Naiqing; Thompson, Rona Louise; Canadell, Josep G. ; Suntharalingam, Parvadha; Regnier, Pierre; Davidson, Eric A.; Prather, Michael; Ciais, Philippe; Muntean, Marilena; Pan, Shufen; Winiwarter, Wilfried; Zaehle, Sonke; Zhou, Feng; Jackson, Robert B. ; Bange, Hermann W.; Berthet, Sarah; Bian, Zihao; Bianchi, Daniele; Bouwman, Alexander F.; Buitenhuis, Erik T.; Dutton, Geoffrey; Hu, Minpeng; Ito, Akihiko; Jain, Atul K.; Jeltsch-Thömmes, Aurich; Joos, Fortunat; Kou-Giesbrecht, Sian; Krummel, Paul B. ; Lan, Xin; Landolfi, Angela; Lauerwald, Ronny; Li, Ya; Lu, Chaoqun; Maavara, Taylor; Manizza, Manfredi; Millet, Dylan B.; Mühle, Jens; Patra, Prabir K. ; Peters, Glen Philip; Qin, Xiaoyu; Raymond, Peter; Resplandy, Laure; Rosentreter, Judith A. ; Shi, Hao; Sun, Qing; Tonina, Daniele; Tubiello, Francesco N.; Van Der Werf, Guido R. ; Vuichard, Nicolas; Wang, Junjie; Wells, Kelley C.; Western, Luke M.; Wilson, Chris; Yang, Jia; Yao, Yuanzhi; You, Yongfa; Zhu, Qing

Nitrous oxide (N2O) is a long-lived potent greenhouse gas and stratospheric ozone-depleting substance that has been accumulating in the atmosphere since the preindustrial period. The mole fraction of atmospheric N2O has increased by nearly 25 % from 270 ppb (parts per billion) in 1750 to 336 ppb in 2022, with the fastest annual growth rate since 1980 of more than 1.3 ppb yr−1 in both 2020 and 2021. According to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR6), the relative contribution of N2O to the total enhanced effective radiative forcing of greenhouse gases was 6.4 % for 1750–2022. As a core component of our global greenhouse gas assessments coordinated by the Global Carbon Project (GCP), our global N2O budget incorporates both natural and anthropogenic sources and sinks and accounts for the interactions between nitrogen additions and the biogeochemical processes that control N2O emissions. We use bottom-up (BU: inventory, statistical extrapolation of flux measurements, and process-based land and ocean modeling) and top-down (TD: atmospheric measurement-based inversion) approaches. We provide a comprehensive quantification of global N2O sources and sinks in 21 natural and anthropogenic categories in 18 regions between 1980 and 2020. We estimate that total annual anthropogenic N2O emissions have increased 40 % (or 1.9 Tg N yr−1) in the past 4 decades (1980–2020). Direct agricultural emissions in 2020 (3.9 Tg N yr−1, best estimate) represent the large majority of anthropogenic emissions, followed by other direct anthropogenic sources, including fossil fuel and industry, waste and wastewater, and biomass burning (2.1 Tg N yr−1), and indirect anthropogenic sources (1.3 Tg N yr−1) . For the year 2020, our best estimate of total BU emissions for natural and anthropogenic sources was 18.5 (lower–upper bounds: 10.6–27.0) Tg N yr−1, close to our TD estimate of 17.0 (16.6–17.4) Tg N yr−1. For the 2010–2019 period, the annual BU decadal-average emissions for both natural and anthropogenic sources were 18.2 (10.6–25.9) Tg N yr−1 and TD emissions were 17.4 (15.8–19.20) Tg N yr−1. The once top emitter Europe has reduced its emissions by 31 % since the 1980s, while those of emerging economies have grown, making China the top emitter since the 2010s. The observed atmospheric N2O concentrations in recent years have exceeded projected levels under all scenarios in the Coupled Model Intercomparison Project Phase 6 (CMIP6), underscoring the importance of reducing anthropogenic N2O emissions. To evaluate mitigation efforts and contribute to the Global Stocktake of the United Nations Framework Convention on Climate Change, we propose the establishment of a global network for monitoring and modeling N2O from the surface through to the stratosphere. The data presented in this work can be downloaded from https://doi.org/10.18160/RQ8P-2Z4R (Tian et al., 2023).

2024

Global NH3 emissions from livestock management: Implementation of a dynamical module within a land surface model and impact on atmospheric chemistry

Beaudor, M.; Vuichard, Nicolas; Lathiere, J.; Van Damme, M; Coheur, PF; Clarisse, L.; Evangeliou, Nikolaos; Hauglustaine, D

2021

Global MLT response to major Sudden Stratospheric Warming (SSW) events.

Limpasuvan, V.; Orsolini, Y.; Garcia, R.; Smith, A.; Kinnison, D.

2015

Global lake warming trends derived from satellite and in situ observations.

Schneider, P.; Hook, S.J.; Gray, D.K.; Read, J.S.; Hampton, S.E.; O'Reilly, C.M.; Sharma, S.; Lenters, J.D.

2013

Global Inversion of a Black Carbon Emissions based on FLEXPART modelling and a Bayesian inversion algorithm

Eckhardt, Sabine; Thompson, Rona Louise; Evangeliou, Nikolaos; Pisso, Ignacio; Yttri, Karl Espen; Zwaaftink, Christine Groot; Platt, Stephen Matthew

2025

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.

Elsevier

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

n 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.; Le Quéré, Corinne; Peters, Glen Philip; Thompson, Rona Louise; Tian, Hanqin; Liu, Zhu

2021

Global Fire Monitoring

Kaiser, Johannes; Liu, Zixia; Di Tomaso, Enza; 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; van Vuuren, Detlef; 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 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

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