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Found 10066 publications. Showing page 33 of 403:

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Effect of demand-controlled ventilation strategies on indoor air pollutants in a classroom: A Norwegian case study

Yang, Aileen; Andersen, Kamilla Heimar; Hak, Claudia; Mikoviny, Tomas; Wisthaler, Armin; Holøs, Sverre Bjørn

The choice of the minimum ventilation rate (Vmin) in a demand-controlled ventilation strategy can influence energy demand but also introduce outdoor air pollutants. The latter may have direct health effects, as well as affect indoor chemical reactions. In this paper, we evaluate the effect of ventilation rates and operation hours on the level of CO2, nitrogen dioxide (NO2), and ozone (O3) in a classroom during normal use. We compared the baseline ventilation scenario (S0) with a Vmin of 430 m3/h with S1; Vmin of 150 m3/h for normal ventilation operation time (6:30-17:00) and continuous ventilation for 24h (S2). We found that S1 with reduced Vmin would lower the ozone concentration by 35% during the hours before occupancy compared to S0. Moreover, continuous ventilation during night time with a low Vmin resulted in almost as high O3 concentrations as the baseline ventilation scenario. As O3 reacts easily with certain VOCs to produce secondary organic aerosols, the level of Vmin and the ventilation duration would impact the indoor air quality upon entering the classroom.

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

Deployment and evaluation of network of open low-cost air quality sensor systems

Dauge, Franck Rene; Schneider, Philipp; Vogt, Matthias; Haugen, Rolf; Hassani, Amirhossein; Castell, Nuria; Bartonova, Alena

2023

Nanomaterials Hazard and Risk Assessment in the Context of One Health

Dusinska, Maria; Longhin, Eleonora Marta; Yamani, Naouale El; Antunes, Dalila; Trump, Benjamin D.; Linkov, Igor; Rundén-Pran, Elise

2023

Trends in air pollution in Europe, 2000-2019

Aas, Wenche; Fagerli, Hilde; Simpson, David; Solberg, Sverre; Tsyro, Svetlana; Yttri, Karl Espen

2023

Reply to Bawa and Liu: Want sustainable food? Embrace complexity

Hoang, Nguyen Tien; Taherzadeh, Oliver; Ohashi, Haruka; Yonekura, Yusuke; Nishijima, Shota; Yamabe, Masaki; Matsui, Tetsuya; Matsuda, Hiroyuki; Moran, Daniel; Kanemoto, Keiichiro

2023

Arktis brenner! Hvordan kanadiske skogbranner påvirker oss alle.

Stebel, Kerstin; Eckhardt, Sabine; Evangeliou, Nikolaos; Schneider, Philipp

2023

Spatiotemporal patterns of indoor and outdoor PM2.5 in Legionowo, Poland

Salamalikis, Vasileios; Hassani, Amirhossein; Schneider, Philipp

2023

2023

Between man and technology: adressing IAQ in Norwegian schools

Bartonova, Alena; Fredriksen, Mirjam; Høiskar, Britt Ann Kåstad

2023

The Impacts of Third Pole Snow Assimilation on Seasonal Meteorology Predictions

Li, Wei; Li, Lu; Jie, Chen; Orsolini, Yvan Joseph Georges Emile G.; Rosnay, Patricia de; Senan, Retish

2023

Eastward Propagating Planetary Waves Observed Using the SuperDARN Meteor Radar Network

Espy, Patrick Joseph; Mirzaamin, Tina; Orsolini, Yvan Joseph Georges Emile G.; Rhodes, Christian Todd

2023

Revised Historical Black Carbon Emissions based on Atmospheric Modelling, Ice Core Records and an Inverse Algorithm

Eckhardt, Sabine; Evangeliou, Nikolaos; Zwaaftink, Christine Groot; Plach, Andreas; McConnell, Joseph; Sigl, Michael; Zdanowicz, Christian; Lim, Seahee; Chellman, Nathan J; Opel, Thomas; Meyer, Hanno; Steffensen, Jørgen Peder; Schwikowski, Margit; Stohl, Andreas

2023

Impact of 2020 COVID-19 lockdowns on particulate air pollution across Europe

Putaud, Jean-Philippe; Pisoni, Enrico; Mangold, Alexander; Hueglin, Christoph; Sciare, Jean; Pikridas, Michael; Savvides, Chrysantos; Ondráček, Jakub; Mbengue, Saliou; Wiedensohler, Alfred; Weinhold, Kay; Merkel, Maik; Poulain, Laurent; Pinxteren, Dominik van; Herrmann, Hartmut; Massling, Andreas; Nordstroem, Claus; Alastuey, Andres; Reche, Cristina; Perez, Noemi; Castillo, Sonia; Sorribas, Mar; Adame, Jose A.; Petäjä, Tuukka; Lehtipalo, Katrianne; Niemi, Jarkko; Riffault, Véronique; Brito, Joel F. De; Colette, Augustin; Favez, Olivier; Petit, Jean-Eudes; Gros, Valérie; Gini, Maria; Vratolis, Stergios; Eleftheriadis, Konstantinos; Diapouli, Evangelia; Gon, Hugo Denier van der; Yttri, Karl Espen; Aas, Wenche

To fight against the first wave of coronavirus disease 2019 (COVID-19) in 2020, lockdown measures were implemented in most European countries. These lockdowns had well-documented effects on human mobility. We assessed the impact of the lockdown implementation and relaxation on air pollution by comparing daily particulate matter (PM), nitrogen dioxide (NO2) and ozone (O3) concentrations, as well as particle number size distributions (PNSDs) and particle light absorption coefficient in situ measurement data, with values that would have been expected if no COVID-19 epidemic had occurred at 28 sites across Europe for the period 17 February–31 May 2020. Expected PM, NO2 and O3 concentrations were calculated from the 2020 Copernicus Atmosphere Monitoring Service (CAMS) ensemble forecasts, combined with 2019 CAMS ensemble forecasts and measurement data. On average, lockdown implementations did not lead to a decrease in PM2.5 mass concentrations at urban sites, while relaxations resulted in a +26 ± 21 % rebound. The impacts of lockdown implementation and relaxation on NO2 concentrations were more consistent (−29 ± 17 and +31 ± 30 %, respectively). The implementation of the lockdown measures also induced statistically significant increases in O3 concentrations at half of all sites (+13 % on average). An enhanced oxidising capacity of the atmosphere could have boosted the production of secondary aerosol at those places. By comparison with 2017–2019 measurement data, a significant change in the relative contributions of wood and fossil fuel burning to the concentration of black carbon during the lockdown was detected at 7 out of 14 sites. The contribution of particles smaller than 70 nm to the total number of particles significantly also changed at most of the urban sites, with a mean decrease of −7 ± 5 % coinciding with the lockdown implementation. Our study shows that the response of PM2.5 and PM10 mass concentrations to lockdown measures was not systematic at various sites across Europe for multiple reasons, the relationship between road traffic intensity and particulate air pollution being more complex than expected.

2023

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

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

2023

Accurate Lightweight Calibration Methods for Mobile Low-Cost Particulate Matter Sensors

Jørstad, Per Martin; Wojcikowski, Marek; Cao, Tuan-Vu; Lepioufle, Jean-Marie; Wojtkiewicz, Krystian; Ha, Hoai Phuong

<p>Monitoring air pollution is a critical step towards improving public health, particularly when it comes to identifying the primary air pollutants that can have an impact on human health. Among these pollutants, particulate matter (PM) with a diameter of up to 2.5 μm (or PM2.5) is of particular concern, making it important to continuously and accurately monitor pollution related to PM. The emergence of mobile low-cost PM sensors has made it possible to monitor PM levels continuously in a greater number of locations. However, the accuracy of mobile low-cost PM sensors is often questionable as it depends on geographical factors such as local atmospheric conditions. <p>This paper presents new calibration methods for mobile low-cost PM sensors that can correct inaccurate measurements from the sensors in real-time. Our new methods leverage Neural Architecture Search (NAS) to improve the accuracy and efficiency of calibration models for mobile low-cost PM sensors. The experimental evaluation shows that the new methods reduce accuracy error by more than 26% compared with the state-of-the-art methods. Moreover, the new methods are lightweight, taking less than 2.5 ms to correct each PM measurement on Intel Neural Compute Stick 2, an AI-accelerator for edge devices deployed in air pollution monitoring platforms.

2023

Painted Wood Climate Risk Analysis by the HERIe Model of Building Protection and Conservation Heating Scenarios in Norwegian Medieval Stone Churches

Grøntoft, Terje; Stoveland, Lena Porsmo

HERIe was used to model the effect of changes to indoor climate on the risk of humidity-induced mechanical damage (cracking and plastic deformation) to wooden panels painted with stiff gesso in two Norwegian medieval stone churches: Kinn (mean relative humidity (RH, %) = 79%) on the humid west coast, and Ringsaker (mean RH = 49%) in the drier eastern part of the country. The risk involved in moving cultural heritage objects (paint on wood) between the churches and a conservation studio with more “ideal”, stable conditions was also modeled. A hypothetical reduction in RH to ~65% and, proportionally, of the climate fluctuations in Kinn, and an increase in the RH in Ringsaker to a more stable value of ~63% via conservation heating, were found to improve (Kinn) and uphold (Ringsaker) the conformity to relevant standards and significantly reduce the risk of damage, except in the scenario of moving objects from Ringsaker to a conservation studio, when the risk would increase. The use of conservation heating could save ~50% of the heating cost. The estimated risk reductions may be less relevant for objects kept in situ, where cracks in the original paint and gesso have developed historically. They may be more relevant when moving original objects away from their proofed climate into a conservation studio for treatment.

2023

Modelling the coupled mercury-halogen-ozone cycle in the central Arctic during spring

Ahmed, Shaddy; Thomas, Jennie L.; Angot, Hélène; Dommergue, Aurélien; Archer, Stephen D.; Bariteau, Ludovic; Beck, Ivo; Benavent, Nuria; Blechschmidt, Anne-Marlene; Blomquist, Byron; Boyer, Matthew; Christensen, Jesper H.; Dahlke, Sandro; Dastoor, Ashu; Helmig, Detlev; Howard, Dean; Jacobi, Hans-Werner; Jokinen, Tuija; Lapere, Rémy; Laurila, Tiia; Quéléver, Lauriane L.J.; Richter, Andreas; Ryjkov, Andrei; Mahajan, Anoop S.; Marelle, Louis; Pfaffhuber, Katrine Aspmo; Posman, Kevin; Rinke, Annette; Saiz-Lopez, Alfonso; Schmale, Julia; Skov, Henrik; Steffen, Alexandra; Stupple, Geoff; Stutz, Jochen; Travnikov, Oleg; Zilker, Bianca

Near-surface mercury and ozone depletion events occur in the lowest part of the atmosphere during Arctic spring. Mercury depletion is the first step in a process that transforms long-lived elemental mercury to more reactive forms within the Arctic that are deposited to the cryosphere, ocean, and other surfaces, which can ultimately get integrated into the Arctic food web. Depletion of both mercury and ozone occur due to the presence of reactive halogen radicals that are released from snow, ice, and aerosols. In this work, we added a detailed description of the Arctic atmospheric mercury cycle to our recently published version of the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem 4.3.3) that includes Arctic bromine and chlorine chemistry and activation/recycling on snow and aerosols. The major advantage of our modelling approach is the online calculation of bromine concentrations and emission/recycling that is required to simulate the hourly and daily variability of Arctic mercury depletion. We used this model to study coupling between reactive cycling of mercury, ozone, and bromine during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) spring season in 2020 and evaluated results compared to land-based, ship-based, and remote sensing observations. The model predicts that elemental mercury oxidation is driven largely by bromine chemistry and that particulate mercury is the major form of oxidized mercury. The model predicts that the majority (74%) of oxidized mercury deposited to land-based snow is re-emitted to the atmosphere as gaseous elemental mercury, while a minor fraction (4%) of oxidized mercury that is deposited to sea ice is re-emitted during spring. Our work demonstrates that hourly differences in bromine/ozone chemistry in the atmosphere must be considered to capture the springtime Arctic mercury cycle, including its integration into the cryosphere and ocean.

2023

The New Norwegian Infrastructure - Troll Observing Network - under Establishment in Dronning Maud Land, Antarctica

Pedersen, Christina Alsvik; Schweitzer, Johannes; Njåstad, Brigit; Miloch, Wojciech Jacek; Aas, Wenche; Hudson, Stephen; Hattermann, Tore; Darelius, Elin Maria K.; Descamps, Sebastien; Storvold, Rune; Flått, Stig; Tronstad, Stein

Antarctica and the Southern Ocean are important parts of the Earth system. The physical and biological properties here to a large degree control and shape other parts of the Earth through atmospheric, cryospheric and oceanic connections. The Troll Observing Network – TONe - is a new comprehensive infrastructure centered around the Norwegian Troll Research Station in Dronning Maud Land. It will be an important contribution to global research efforts in this part of Antarctica, closing data gaps in Antarctic environmental observations and providing key data required to respond to the fundamental societal challenges and uncertainties facing the world today. The Norwegian and international partner consortium in TONe is in the process to develop the state-of-the-art, multi-platform, multi-disciplinary observatory network for environmental observations, and a remotely piloted aerial system (RPAS) services to collect data for studying and monitoring the atmosphere, terrestrial and marine environment. The observatory network consists of 8 observatories: an integrated cloud observatory, an atmosphere composition observatory, an infrasound array, an ionospheric observatory, a seismic array, an ice-shelf observatory, a multidisciplinary open ocean moored observatory and a sea-bird observatory. The key aspect of TONe is to ensure wide and free access to the data from the observatories and the RPAS services to the entire national and international research community. TONe as a whole will be implemented and fully operational from 2027, while single parts of the infrastructure will be available before that.

2023

Chlorinated paraffins in urban air in Nordic countries

Bohlin-Nizzetto, Pernilla; Borgen, Anders; Nipen, Maja

In 2022, the Joint Nordic screening group decided to perform a Nordic study on short-, medium- and long-chain chlorinated paraffins (SCCPs, MCCPs, LCCPs) in urban air. A previous study performed on behalf of screening group in 2019 observed higher concentrations of chlorinated paraffins (CPs) in air samples from an urban site than from remote sites (Schlabach et al. 2022). It was then suggested that tire wear particles could be the source for the elevated urban concentrations.

The focus of the study in 2022 was to collect data to improve the understanding of sources for CPs in air by: (1) comparing concentrations measured in wintertime when studded tires are used and in summertime when normal tires are used, (2) comparing data from three capitals in the Nordic countries, and (3) compare urban air concentrations to air concentrations in a car tire testing facility. All the member countries were invited to participate but based on the possibilities to collect active air samples in urban locations, it was decided to collect air samples from Helsinki (Finland), Reykjavik and Reykjanesbær (Iceland) and Oslo (Norway). Samples were collected in February–March 2022 and May–August 2022. The sampling time for each sample was 48 hrs and 3–6 samples were collected per site and season.

Nordic Council of Ministers

2023

Biological Uptake of Organic Contaminants from Car Tire Particles

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

2023

Consistent histories of anthropogenic western European air pollution preserved in different Alpine ice cores

Eichler, Anja; Legrand, Michel; Jenk, Theo M.; Preunkert, Susanne; Andersson, Camilla; Eckhardt, Sabine; Engardt, Magnuz; Plach, Andreas; Schwikowski, Margit

Individual high-Alpine ice cores have been proven to contain a well-preserved history of past anthropogenic air pollution in western Europe. The question of how representative one ice core is with respect to the reconstruction of atmospheric composition in the source region has not been addressed so far. Here, we present the first study systematically comparing longer-term ice-core records (1750–2015 CE) of various anthropogenic compounds, such as major inorganic aerosol constituents (, , ), black carbon (BC), and trace species (Cd, F−, Pb). Depending on the data availability for the different air pollutants, up to five ice cores from four high-Alpine sites located in the European Alps analysed by different laboratories were considered. Whereas absolute concentration levels can partly differ depending on the prevailing seasonal distribution of accumulated precipitation, all seven investigated anthropogenic compounds are in excellent agreement between the various sites for their respective, species-dependent longer-term concentration trends. This is related to common source regions of air pollution impacting the four sites less than 100 km away including western European countries surrounding the Alps. For individual compounds, the Alpine ice-core composites developed in this study allowed us to precisely time the onset of pollution caused by industrialization in western Europe. Extensive emissions from coal combustion and agriculture lead to an exceeding of pre-industrial (1750–1850) concentration levels already at the end of the 19th century for BC, Pb, (non-dust, non-sea salt ), and , respectively. However, Cd, F−, and concentrations started surpassing pre-industrial values only in the 20th century, predominantly due to pollution from zinc and aluminium smelters and traffic. The observed maxima of BC, Cd, F−, Pb, and concentrations in the 20th century and a significant decline afterwards clearly reveal the efficiency of air pollution control measures such as the desulfurization of coal, the introduction of filters and scrubbers in power plants and metal smelters, and the ban of leaded gasoline improving the air quality in western Europe. In contrast, and concentration records show levels in the beginning of the 21th century which are unprecedented in the context of the past 250 years, indicating that the introduced abatement measures to reduce these pollutants were insufficient to have a major effect at high altitudes in western Europe. Only four ice-core composite records (BC, F−, Pb, ) of the seven investigated pollutants correspond well with modelled trends, suggesting inaccuracies of the emission estimates or an incomplete representation of chemical reaction mechanisms in the models for the other pollutants. Our results demonstrate that individual ice-core records from different sites in the European Alps generally provide a spatially representative signal of anthropogenic air pollution trends in western European countries.

2023

Estimating methane emissions in the Arctic nations using surface observations from 2008 to 2019

Wittig, Sophie; Berchet, Antoine; Pison, Isabelle; Saunois, Marielle; Thanwerdas, Joel; Martinez, Adrien; Paris, Jean-Daniel; Machida, Toshinobu; Sasakawa, Motoki; Worthy, Doug E.J.; Lan, Xin; Thompson, Rona Louise; Sollum, Espen; Arshinov, Mikhail

The Arctic is a critical region in terms of global warming. Environmental changes are already progressing steadily in high northern latitudes, whereby, among other effects, a high potential for enhanced methane (CH4) emissions is induced. With CH4 being a potent greenhouse gas, additional emissions from Arctic regions may intensify global warming in the future through positive feedback. Various natural and anthropogenic sources are currently contributing to the Arctic's CH4 budget; however, the quantification of those emissions remains challenging. Assessing the amount of CH4 emissions in the Arctic and their contribution to the global budget still remains challenging. On the one hand, this is due to the difficulties in carrying out accurate measurements in such remote areas. Besides, large variations in the spatial distribution of methane sources and a poor understanding of the effects of ongoing changes in carbon decomposition, vegetation and hydrology also complicate the assessment. Therefore, the aim of this work is to reduce uncertainties in current bottom-up estimates of CH4 emissions as well as soil oxidation by implementing an inverse modelling approach in order to better quantify CH4 sources and sinks for the most recent years (2008 to 2019). More precisely, the objective is to detect occurring trends in the CH4 emissions and potential changes in seasonal emission patterns. The implementation of the inversion included footprint simulations obtained with the atmospheric transport model FLEXPART (FLEXible PARTicle dispersion model), various emission estimates from inventories and land surface models, and data on atmospheric CH4 concentrations from 41 surface observation sites in the Arctic nations. The results of the inversion showed that the majority of the CH4 sources currently present in high northern latitudes are poorly constrained by the existing observation network. Therefore, conclusions on trends and changes in the seasonal cycle could not be obtained for the corresponding CH4 sectors. Only CH4 fluxes from wetlands are adequately constrained, predominantly in North America. Within the period under study, wetland emissions show a slight negative trend in North America and a slight positive trend in East Eurasia. Overall, the estimated CH4 emissions are lower compared to the bottom-up estimates but higher than similar results from global inversions.

2023

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