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SDGs at the halfway point: How the 17 global goals address risks and wicked problems

Pedersen, Anders Branth; Hickmann, Thomas; Renn, Ortwin; Eckert, Nicolas; Jax, Kurt; Lepenies, Robert; Liu, Hai Ying; Lyytimäki, Jari; Reis, Stefan; Rusch, Graciela

2023

Polybrominated diphenyl ethers in type 2 diabetes mellitus cases and controls: Repeated measurements prior to and after diagnosis

Charles, Dolley; Berg, Vivian; Nøst, Therese Haugdahl; Wilsgaard, Tom; Bergdahl, Ingvar A.; Huber, Sandra; Ayotte, Pierre; Averina, Maria; Sandanger, Torkjel M; Rylander, Karin Charlotta Maria

Background Previous studies have reported associations between certain persistent organic pollutants (POPs) and type 2 diabetes mellitus (T2DM). Polybrominated diphenyl ethers (PBDEs) are a class of POPs that are found in increasing concentrations in humans. Although obesity is a known risk factor for T2DM and PBDEs are fat-soluble, very few studies have investigated associations between PBDEs and T2DM. No longitudinal studies have assessed associations between repeated measurements of PBDE and T2DM in the same individuals and compared time trends of PBDEs in T2DM cases and controls. Objectives To investigate associations between pre- and post-diagnostic measurements of PBDEs and T2DM and to compare time trends of PBDEs in T2DM cases and controls. Methods Questionnaire data and serum samples from participants in the Tromsø Study were used to conduct a longitudinal nested case-control study among 116 T2DM cases and 139 controls. All included study participants had three pre-diagnostic blood samples (collected before T2DM diagnosis in cases), and up to two post-diagnostic samples after T2DM diagnosis. We used logistic regression models to investigate pre- and post-diagnostic associations between PBDEs and T2DM, and linear mixed-effect models to assess time trends of PBDEs in T2DM cases and controls. Results We observed no substantial pre- or post-diagnostic associations between any of the PBDEs and T2DM, except for BDE-154 at one of the post-diagnostic time-points (OR = 1.65, 95% CI: 1.00, 2.71). The overall time trends of PBDE concentrations were similar for cases and controls. Discussion The study did not support PBDEs increasing the odds of T2DM, prior to or after T2DM diagnosis. T2DM status did not influence the time trends of PBDE concentrations.

2023

Long-range atmospheric transport of currently-used pesticides over Europe

Mayer, Ludovic; Senk, Petr; Pribylova, Petra; Kukučka, Petr; Durand, Amadine; Ravier, Sylvain; Alastuey, Andres; Baker, Alex R.; Baltensperger, Urs; Baumann-Stanzer, Kathrin; Biermann, Tobias; Bohlin-Nizzetto, Pernilla; Ceburnis, Darius; Conil, Sébastien; Couret, Cedric; Degorska, Anna; Diapouli, Evangelia; Eckhardt, Sabine; Eleftheriadis, Konstantinos; Forster, Grant L.; Freier, Korbinian; Gheusi, Francois; Gini, Maria; Hellén, Heidi; Henne, Stephan; Herrmann, Hartmut; Horrak, Urmas; Smejkalova, Adeala Holubova; Hueglin, Christoph; Junninen, Heikki; Kristensson, Adam; Langrene, Laurent; Levula, Janne; Lien, Olav; Lothon, Marie; Ludewig, Elke; Lyngra, Reidar; Makkonen, Ulla; Markussen, Helge Tore; Matejovičová, Jana; Mihalopoulos, Nikos; Mináriková, Veronika; Moche, Wolfgang; Noe, Steffen M.; Pérez, Noemi; Petäjä, Tuukka; Pont, Veronique; Poulain, Laurent; Quivet, Etienne; Ratz, Gabriela; Rehm, Till; Reimann, Stefan; Simmons, Ivan; Sonke, Jeroen E.; Sorribas, Mar; Spoor, Ronald; Swart, Daan P.J.; Vassilatou, Vassiliki; Wortham, Henri; Yela, Margarita; Zarmpas, Pavlos; Zellweger, Claudia; Tørseth, Kjetil; Laj, Paolo G.; Klanova, Jana; Lammel, Gerhard; Degrendele, Celine

2023

Rapid decline of carbon monoxide emissions in the Fenwei Plain in China during the three-year Action Plan on defending the blue sky

Jia, Mengwei; Jiang, Fei; Evangeliou, Nikolaos; Eckhardt, Sabine; Huang, Xin; Ding, Aijun; Stohl, Andreas

2023

Probing internal gravity waves in the middle atmosphere using infrasound from explosions

Vorobeva, Ekaterina; Assink, Jelle D.; Belova, Evgenia; Latteck, Ralph; Espy, Patrick Joseph; Baumgarten, Gerd; Strelnikova, Irina; Orsolini, Yvan Joseph Georges Emile G.; Näsholm, Sven Peter

2023

A history about Lagrangian modelling - transport of hazardous substances through the atmosphere

Eckhardt, Sabine; Sigl, Michael; Pisso, Ignacio; Evangeliou, Nikolaos; Stebel, Kerstin

2023

Low-cost sensors and Machine Learning aid in identifying environmental factors affecting particulate matter emitted by household heating

Hassani, Amirhossein; Bykuć, Sebastian; Schneider, Philipp; Zawadzki, Paweł; Chaja, Patryk; Castell, Nuria

Poland continues to rely heavily on coal and fossil fuels for household heating, despite efforts to reduce Particulate Matter (PM) levels. The availability of reliable air quality data is essential for policymakers, environmentalists, and citizens to advocate for cleaner energy sources. However, Polish air quality monitoring is challenging due to the limited coverage of reference stations and outdated equipment. Here, we report the results of a study on the spatio-temporal variability of Particulate Matter in Legionowo, Poland, using residents’ network of low-cost sensors. Along with identifying the hotspots of household-emitted PM, (1) we propose a data quality assurance scheme for PM sensors, (2) suggest an approach for estimating the Relative Humidity-induced uncertainty in the sensors without co-location with reference instruments, and (3) develop an interpretable Machine Learning (ML) model, a Generalized Additive Model (RMSE = 6.16 μg m−3, and R2 = 0.88), for unveiling the underlying relations between PM2.5 levels and other environmental parameters. The results in Legionowo suggest that as air temperature and wind speed increase by 1 °C and 1 km h−1, PM2.5 would respectively decrease by 0.26 μg m−3 and 0.14 μg m−3 while PM2.5 increases by 0.03 μg m−3 as RH increases by 1%.

2023

Biological Uptake of Organic Contaminants from Car Tire Particles

Halsband, Claudia; Hägg, Fanny; Galtung, Kristin; Herzke, Dorte; Booth, Andrew Michael; Nikiforov, Vladimir

2023

Moisture Transport into the Arctic in a past and future climate

Eckhardt, Sabine; Svendby, Tove Marit; Cassiani, Massimo; Oliviè, Dirk Jan Leo

2023

Mapping and Visualizing Air Quality

Hassani, Amirhossein; Schneider, Philipp

2023

Atmospheric Microplastic in the Arctic and the Norwegian mainland

Herzke, Dorte; Evangeliou, Nikolaos; Bjørnsen, Astrid E.; Eckhardt, Sabine

2023

Impact of Aerosol Optical Properties, Precipitable Water, and Solar Geometry on Sky Radiances Using Radiative Transfer Modeling

Giannaklis, Christos-Panagiotis; Logothetis, Stavros-Andreas; Salamalikis, Vasileios; Tzoumanikas, Panagiotis; Kazantzidis, Andreas

Radiative transfer modeling is used to investigate the effect of aerosol optical properties and water vapor on cloud-free sky radiances at various atmospheric conditions. Simulations are generated by changing the most critical aerosol optical properties, namely aerosol optical depth, Ångström exponent, the single-scattering albedo, the precipitable water, and the solar zenith angle (SZA) in three different spectral ranges: ultraviolet A, visible, and near-infrared.

2023

Physical and chemical processes driving remote seasonal atmospheric exposure to cyclic volatile methysiloxanes and short-chain chlorinated paraffins

Saify, Insam Al; Brandsma, Sicco H.; Mourik, Louise M. van; Eckhardt, Sabine; Bohlin-Nizzetto, Pernilla; Warner, Nicholas Alexander

2023

Antarctic sea-ice low resonates in the ecophysiology of humpback whales

Nash, Susan M. Bengtson; Groß, Jasmin; Castrillon, Juliana; Casa, Maria Valeria; Luche, Greta Dalle; Meager, Justin James; Ghosh, Ruma; Eggebo, June; Bohlin-Nizzetto, Pernilla

The past six years have been marked by some of the most dramatic climatic events observed in the Antarctic region in recent history, commencing with the 2017 sea-ice extreme low. The Humpback Whale Sentinel Programme is a circum-polar biomonitoring program for long term surveillance of the Antarctic sea-ice ecosystem. It has previously signalled the extreme La Niña event of 2010/11, and it was therefore of interest to assess the capacity of existing biomonitoring measures under the program to detect the impacts of 2017 anomalous climatic events. Six ecophysiological markers of population adiposity, diet, and fecundity were targeted, as well as calf and juvenile mortality via stranding records. All indicators, with the exception of bulk stable isotope dietary tracers, indicated a negative trend in 2017, whilst C and N bulk stable isotopes appeared to indicate a lag phase resulting from the anomalous year. The collation of multiple biochemical, chemical, and observational lines of evidence via a single biomonitoring platform provides comprehensive information for evidence-led policy in the Antarctic and Southern Ocean region.

2023

Monitoring of long-range transported air pollutants in Norway. Annual Report 2022.

Aas, Wenche; Eckhardt, Sabine; Solberg, Sverre; Yttri, Karl Espen

This report presents results from the monitoring of atmospheric composition and deposition of air pollution in 2022, and focuses on main components in air and precipitation, particulate and gaseous phase of inorganic constituents, particulate carbonaceous matter, ground level ozone and particulate matter. The level of pollution in 2022 was generally low though a few high episodes occurred, i.e., one in March with elevated aerosol concentrations and one during July, with high ozone levels.

NILU

2023

Modelling PCB-153 in northern ecosystems across time, space, and species using the nested exposure model

Krogseth, Ingjerd Sunde; Breivik, Knut; Frantzen, Sylvia; Nilsen, Bente Merete; Eckhardt, Sabine; Nøst, Therese Haugdahl; Wania, Frank

There is concern over possible effects on ecosystems and humans from exposure to persistent organic pollutants (POPs) and chemicals with similar properties. The main objective of this study was to develop, evaluate, and apply the Nested Exposure Model (NEM) designed to simulate the link between global emissions and resulting ecosystem exposure while accounting for variation in time and space. NEM, using environmental and biological data, global emissions, and physicochemical properties as input, was used to estimate PCB-153 concentrations in seawater and biota of the Norwegian marine environment from 1930 to 2020. These concentrations were compared to measured concentrations in (i) seawater, (ii) an Arctic marine food web comprising zooplankton, fish and marine mammals, and (iii) Atlantic herring (Clupea harengus) and Atlantic cod (Gadus morhua) from large baseline studies and monitoring programs. NEM reproduced PCB-153 concentrations in seawater, the Arctic food web, and Norwegian fish within a factor of 0.1–31, 0.14–3.1, and 0.09–21, respectively. The model also successfully reproduced measured trophic magnification factors for PCB-153 at Svalbard as well as geographical variations in PCB-153 burden in Atlantic cod between the Skagerrak, North Sea, Norwegian Sea, and Barents Sea, but estimated a steeper decline in PCB-153 concentration in herring and cod during the last decades than observed. Using the evaluated model with various emission scenarios showed the important contribution of European and global primary emissions for the PCB-153 load in fish from Norwegian marine offshore areas.

2023

Leveraging opportunity of low carbon transition by super-emitter cities in China

Zheng, Heran; Zhang, Zengkai; Dietzenbacher, Erik; Zhou, Ya; Többen, Johannes Reinhard; Feng, Kuishuang; Moran, Daniel; Jiang, Meng; Shan, Yuli; Wang, Daoping; Liu, Xiaoyu; Li, Li; Zhao, Dandan; Meng, Jing; Ou, Jiamin; Guan, Dabo

Chinese cities are core in the national carbon mitigation and largely affect global decarbonisation initiatives, yet disparities between cities challenge country-wide progress. Low-carbon transition should preferably lead to a convergence of both equity and mitigation targets among cities. Inter-city supply chains that link the production and consumption of cities are a factor in shaping inequality and mitigation but less considered aggregately. Here, we modelled supply chains of 309 Chinese cities for 2012 to quantify carbon footprint inequality, as well as explored a leverage opportunity to achieve an inclusive low-carbon transition. We revealed significant carbon inequalities: the 10 richest cities in China have per capita carbon footprints comparable to the US level, while half of the Chinese cities sit below the global average. Inter-city supply chains in China, which are associated with 80% of carbon emissions, imply substantial carbon leakage risks and also contribute to socioeconomic disparities. However, the significant carbon inequality implies a leveraging opportunity that substantial mitigation can be achieved by 32 super-emitting cities. If the super-emitting cities adopt their differentiated mitigation pathway based on affluence, industrial structure, and role of supply chains, up to 1.4 Gt carbon quota can be created, raising 30% of the projected carbon quota to carbon peak. The additional carbon quota allows the average living standard of the other 60% of Chinese people to reach an upper-middle-income level, highlighting collaborative mechanism at the city level has a great potential to lead to a convergence of both equity and mitigation targets.

2023

Potential sources and transport of atmospheric microplastics in the Northern Atlantic Ocean

Evangeliou, Nikolaos; Gossmann, Isabel; Herzke, Dorte; Held, Andreas; Schulz, Janina; Nikiforov, Vladimir; Eckhardt, Sabine; Gerdts, Gunnar; Wurl, Oliver; Scholz-Böttcher, Barbara

2023

Atmospheric Microplastic in the Arctic and the Norwegian mainland

Herzke, Dorte; Evangeliou, Nikolaos; Bjørnsen, Astrid E.; Eckhardt, Sabine

2023

The Impact of Recent European Droughts and Heatwaves on Trace Gas Surface Fluxes: Insights from Land Surface Data Assimilation

Hamer, Paul David; Trimmel, Heidelinde; Calvet, Jean-Christophe; Bonan, Bertrand; Meurey, Catherine; Vallejo, Islen; Eckhardt, Sabine; Santos, Gabriela Sousa; Marécal, Virginie; Tarrasón, Leonor

2023

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