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Interim air quality maps of EEA member and cooperating countries for 2023. PM, O3, and NO2 spatial estimates

Horálek, Jan; Vlasakova, Leona; Schreiberova, Marketa; Schneider, Philipp; Benesova, Nina; Vlcek, Ondrej

The report presents interim 2023 maps for PM10 annual average, PM2.5 annual average, O3 indicator peak season average of maximum daily 8-hour means, and NO2 annual average. The maps have been produced based on the 2023 non-validated E2a (UTD) data of the AQ e-reporting database, the CAMS Ensemble Forecast modelling data and other supplementary data. Together with the concentration maps, the inter-annual differences between 5-year average 2018-2022 and 2023 are presented (using the 2018-2022 regular and the 2023 interim maps), as well as basic exposure estimates based on the interim maps.

ETC/HE

2024

Transboundary particulate matter, photo-oxidants, acidifying and eutrophying components

Fagerli, Hilde; Benedictow, Anna Maria Katarina; Blake, Lewis R.; van Caspel, Willem Elias; Denby, Bruce; Gauss, Michael; Jonson, Jan Eiof; Klein, Heiko; Lange, Gunnar Felix; Mousing, Erik Askov; Nyiri, Agnes; Oliviè, Dirk Jan Leo; Segers, Arjo; Simpson, David; Tsyro, Svetlana; Valdebenito Bustamante, Alvaro Moises; Wind, Peter Ariaan; Aas, Wenche; Fiebig, Markus; Hjellbrekke, Anne-Gunn; Solberg, Sverre; Tørseth, Kjetil; Yttri, Karl Espen; Redeyoff, Oscar; Matthews, Bradley; Schindlbacher, Sabine; Ullrich, Bernhard; Wankmüller, Robert; Scheuschner, Thomas; Kuenen, Jeroen J.P.; Guevara, Marc; Jaffrezo, Jean-Luc; Dominutti, Pamela; Uzu, Gaelle; Conil, Sébastien; Favez, Olivier; Močnik, Griša

Norwegian Meteorological Institute

2024

Sentinel and Copernicus powered Arctic Wildfire Knowledge System “Arctic Peat-And Forest-fire Information System”

Stebel, Kerstin; Eckhardt, Sabine; Evangeliou, Nikolaos; Kaiser, Johannes; Schneider, Philipp; Sollum, Espen; Aun, Margit; George, Jan-Peter

2024

Composition and mixing state of carbonaceous aerosol in the Arctic

Gilardoni, Stefania; Mazzola, Mauro; Cheng, Zezhen; Lata, Nurun Nahar; China, Swarup; Aas, Wenche; Evangeliou, Nikolaos; Heslin-Rees, Dominic; Krejci, Radovan

2024

Integrating Low-cost Sensor Systems and Networks to Enhance Air Quality Applications

Amegah, Kofi; Basart, Sara; Diez, Sebastiàn; Rosales, Colleen Marciel F.; Zimmerman, Naomi; Archer, Jan-Michael; Barreto, África; Bi, Jianzhao; Biggs, Russ; Castell, Nuria; deSouza, Priyanka; Dye, Tim; Fujita, Ryo; Giordano, Michael R.; Gonzalez, Marisa E.; Hasenkopf, Christa; Hassani, Amirhossein; Hodoli, Collins Gameli; Hofman, Jelle; Huneeus, Nicolás Jorge; Jayaratne, Rohan; Kroll, Jesse H.; Labrador, Lorenzo; Legri, Radouane; Levy, Robert C.; Marques, Tomas; Martins, Leila Droprinchinski; McMahon, Ethan; Mead, Mohammed Iqbal; Molina, Luisa T.; Montgomery, Anastasia; Morawska, Lidia; Ning, Zhi; Peltier, Richard; Popoola, Olalekan; Rojas, Néstor; Retama, Armando; Schneider, Philipp; Shairsing, Kerolyn; Strużewska, Joanna; Tang, Beiming; Van Poppel, Martine; Westervelt, Daniel M.; Zhang, Yang; Zheng, Mei

Low-cost air quality sensor systems (LCS) are emerging technologies for policy-relevant air quality analysis, including pollution levels, source identification, and forecasting. This report discusses LCS use in networks and alongside other data sources for comprehensive air quality applications, complementing other WMO publications on LCS operating principles, calibration, performance assessment, and data communication.

The LCS’s utility lies in their ability to provide new insights into air quality that existing data sources may not offer. While LCS data must be verified, their integration with other data sources can enhance understanding and management of air quality. In areas without reference-grade monitors, LCS can identify factors affecting local air quality and guide future monitoring efforts. Combining LCS data with satellite and other air quality systems can improve data reliability and establish corroborating evidence for observed trends. LCS can extend the spatial coverage of existing monitoring networks, offering localized insights and supporting effective air quality management policies. Co-locating LCS with reference-grade monitors helps quantify measurement uncertainties and apply LCS data appropriately for forecasting, source impact analysis, and community engagement.

World Meteorological Organization

2024

Forecasting transport of biomass burning emissions for the ARCSIX 2024 campaign

Evangeliou, Nikolaos; Eckhardt, Sabine; Zwaaftink, Christine Groot; Sollum, Espen; Stebel, Kerstin

2024

Gummi på utsiden av banen vekker reaksjoner

Herzke, Dorte (intervjuobjekt); Gundersen, Marius Heggen; Bjerkevoll, Ola (journalister)

2024

The FAIRness of ACTRIS Data Centre

Myhre, Cathrine Lund; Fiebig, Markus; Rud, Richard Olav; Mona, Lucia; Dema, Claudio; Pascal, Nicolas; Henry, Patrice; Picquet-Varrault, Bénédicte; Brissebrat, Guillaume; Boonne, Cathy; O'Connor, Ewan; Tukiainen, Simo

The purpose of this report is to document the status and implementation of FAIRness within ACTRIS Data centre as of March 2023, developed over the period January 2019 – March 2023.

The report is an extended version of ENVRI-FAIR deliverable D8.4 due March 2023 and available through Zenodo: ENVRI-FAIR D8.4: The FAIRness of ACTRIS | Zenodo, only including the work until autumn 2022. This present report adds more information to the implementation of the FAIR principles by ACTRIS Data Centre over the period January 2019 – March 2023. In addition to D8.4, the present report provides a comprehensive external FAIRness assessment covering the entire period 2019 - 2023, along with an evaluation of the implementation in the years 2022 and the first half of 2023. It's important to note that the project deliverable only encompasses the period from 2019 to 2021.

NILU

2024

A Machine Learning Approach to Retrieving Aerosol Optical Depth Using Solar Radiation Measurements

Logothetis, Stavros-Andreas; Salamalikis, Vasileios; Kazantzidis, Andreas

Aerosol optical depth (AOD) constitutes a key parameter of aerosols, providing vital information for quantifying the aerosol burden and air quality at global and regional levels. This study demonstrates a machine learning strategy for retrieving AOD under cloud-free conditions based on the synergy of machine learning algorithms (MLAs) and ground-based solar irradiance data. The performance of the proposed methodology was investigated by applying different components of solar irradiance. In particular, the use of direct instead of global irradiance as a model feature led to better performance. The MLA-based AODs were compared to reference AERONET retrievals, which encompassed RMSE values between 0.01 and 0.15, regardless of the underlying climate and aerosol environments. Among the MLAs, artificial neural networks outperformed the other algorithms in terms of RMSE at 54% of the measurement sites. The overall performance of MLA-based AODs against AERONET revealed a high coefficient of determination (R2 = 0.97), MAE of 0.01, and RMSE of 0.02. Compared to satellite (MODIS) and reanalysis (MERRA-2 and CAMSRA) data, the MLA-AOD retrievals revealed the highest accuracy at all stations. The ML-AOD retrievals have the potential to expand and complement the AOD information in non-existing timeframes when solar irradiances are available.

MDPI

2024

Nonexhaust emissions in road tunnels

Markelj, Miha; Weydahl, Torleif; Grythe, Henrik; Lopez-Aparicio, Susana

2024

Environmental Contaminants in an Urban Fjord, 2023

Ruus, Anders; Grung, Merete; Bæk, Kine; Rundberget, Thomas; Vogelsang, Christian; Beylich, Bjørnar; Lund, Espen; Allan, Ian; Ribeiro, Anne Luise; Hanssen, Linda; Enge, Ellen Katrin

Norsk institutt for vannforskning

2024

Transitioning to building integration of photovoltaics and greenery (BIPVGREEN): case studies up-scaling from cities informal settlements

Karamanis, Dimitrios; Liu, Hai Ying; Skandalos, Nikolaos; Makis, Achilleas; Kapsalis, Vasileios; D’Agostino, Delia; Maduta, Carmen; Tolis, Athanasios; Trandafir, Simona; Parker, Danny

To achieve the objectives of COP28 for transitioning away from fossil fuels and phasing these out, both natural and technological solutions are essential, necessitating a step-change in how we implement social innovation. Given the significant CO2 emissions produced by the building sector, there is an urgent need for a transformative shift towards a net-zero building stock by mid-century. This transition to zero-energy and zero-emission buildings is difficult due to complex processes and substantial costs. Building integrated photovoltaics (BIPV) offers a promising solution due to the benefits of enhanced energy efficiency and electricity production. The availability of roof and façade space in offices and other types of buildings, especially in large cities, permits photovoltaic integration in both opaque and transparent surfaces. This study investigates the synergistic relationship between solar conversion technologies and nature-based components. Through a meta-analysis of peer-reviewed literature and critical assessment, effective BIPVs with greenery (BIPVGREEN) combinations suitable for various climatic zones are identified. The results highlight the multi-faceted benefits of this integration across a range of techno-economic and social criteria and underscore the feasibility of up-scaling these solutions for broader deployment. Applying a SWOT analysis approach, the internal strengths and weaknesses, as well as the external opportunities and threats for BIPVGREEN deployment, are investigated. The analysis reveals key drivers of synergistic effects and multi-benefits, while also addressing the challenges associated with optimizing performance and reducing investment costs. The strengths of BIPVGREEN in terms of energy efficiency and sustainable decarbonization, along with its potential to mitigate urban and climate temperature increases, enhance its relevance to the built environment, especially for informal settlements. The significance of prioritizing this BIPVGREEN climate mitigation action in low-income vulnerable regions and informal settlements is crucial through the minimum tax financing worldwide and citizen's engagement in architectural BIPVGREEN co-integration.

IOP Publishing

2024

Skogbranner raser i Canada og Russland: – Venter mer ekstreme brannutslipp

Kaiser, Johannes (intervjuobjekt); Knežević, Milana (journalist)

2024

Soil is a potentially important sink for VOCs

Jiao, Yi; Kramshøj, Magnus; Davie-Martin, Cleo Lisa; Albers, Christian Nyrop; Elberling, Bo; Rinnan, Riikka

2024

Forurensning

Heimstad, Eldbjørg Sofie

2024

Enhancing Air Quality Monitoring with a Multi-Step Data Quality Framework for Low-Cost Sensors

Hassani, Amirhossein; Castell, Nuria; Schneider, Philipp; Salamalikis, Vasileios; Shetty, Shobitha

2024

Occurrence and backtracking of microplastic mass loads including tire wear particles in northern Atlantic air

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

2024

Results from a 2-months rehearsal campaign as part of the preparation activities for the validation of the upcoming EarthCARE mission

Baars, Holger; Marinou, Eleni; Mona, Lucia; O’Connor, Ewan; Rusli, Stephanie; Koopman, Rob; Fjæraa, Ann Mari; Nicolae, Doina

2024

Air quality in Sandefjord, Norway. November 2021 – August 2023.

Salamalikis, Vasileios; Castell, Nuria

This report examines the air quality patterns in terms of particulate matter with a diameter less than 2.5 μm (PM2.5) in Sandefjord, Norway. PM2.5 was monitored through five low-cost sensors in hourly resolution from November 2021 to August 2023. The sensors’ reliability is high, with consistent PM2.5 measurements and similar variation over time. Occasional extreme PM2.5 was attributed to local contributions with higher values observed during cold months, or specific long-range transport events. Overall, Sandefjord maintained good air quality for most of the measurement period with daily PM2.5 levels below the air quality criteria. Residential heating activities (wood burning) is the most significant local source, being more pronounced during winter.

NILU

2024

Dechloranes and chlorinated paraffins in sediments and biota of two subarctic lakes

Arriola, Aline; Al Saify, Insam; Warner, Nicholas Alexander; Herzke, Dorte; Harju, Mikael; Amundsen, Per-Arne; Evenset, Anita; Möckel, Claudia; Krogseth, Ingjerd Sunde

Our understanding of the environmental behavior, bioaccumulation and concentrations of chlorinated paraffins (CPs) and Dechloranes (Dec) in the Arctic environment is still limited, particularly in freshwater ecosystems. In this descriptive study, short chain (SCCPs) and medium chain (MCCPs) CPs, Dechlorane Plus (DP) and analogues, and polychlorinated biphenyls (PCBs) were measured in sediments, benthic organisms, three-spined stickleback (Gasterosteus aculeatus), Arctic char (Salvelinus alpinus) and brown trout (Salmo trutta) in two Sub-Arctic lakes in Northern Norway. Takvannet (TA) is a remote lake, with no known local sources for organic contaminants, while Storvannet (ST) is situated in a populated area. SCCPs and MCCPs were detected in all sediment samples from ST with concentration of 42.26–115.29 ng/g dw and 66.18–136.69 ng/g dw for SCCPs and MCCPs, respectively. Only SCCPs were detected in TA sediments (0.4–5.28 ng/g dw). In biota samples, sticklebacks and benthic organisms showed the highest concentrations of CPs, while concentrations were low or below detection limits in both char and trout. The congener group patterns observed in both lakes showed SCCP profiles dominated by higher chlorinated congener groups while the MCCPs showed consistency in their profiles, with C14 being the most prevalent carbon chain length. Anti- and syn-DP isomers were detected in all sediment, benthic and stickleback samples with higher concentrations in ST than in TA. However, they were only present in a few char and trout samples from ST. Dec 601 and 604 were below detection limits in all samples in both lakes. Dec 603 was detected only in ST sediments, sticklebacks and 2 trout samples, while Dec 602 was the only DP analogue found in all samples from both lakes. While there were clear differences in sediment concentrations of DP and Dec 602 between ST and TA, differences between lakes decreased with increasing δ15N. This pattern was similar to the PCB behavior, suggesting the lake characteristics in ST are playing an important role in the lack of biomagnification of pollutants in this lake. Our results suggest that ST receives pollutants from local sources in addition to atmospheric transport.

Frontiers Media S.A.

2024

Pioneering an effect-based early warning system for hazardous chemicals in the environment

Niarchos, Georgios; Alygizakis, Nikiforos A.; Garere, Mario; Dulio, Valeria; Engwall, Magnus; Hyötyläinen, Tuulia; Kallenborn, Roland; Karakitsios, Spyros; Karakoltzidis, Achilleas; Kärrman, Anna; Lamoree, Marja H.; Larsson, Maria; Lundqvist, Johan; Mancini, Laura; Mottaghipisheh, Javad; Rostkowski, Pawel; Sarigiannis, Dimesthenis; Vorkamp, Katrin; Ahrens, Lutz

Existing regulatory frameworks often prove inadequate in promptly identifying contaminants of emerging concern (CECs) and determining their impacts on biological systems at an early stage. The establishment of Early Warning Systems (EWSs) for CECs is becoming increasingly relevant for policy-making, aiming to proactively detect chemical hazards and implement effective mitigation measures. Effect-based methodologies, including bioassays and effect-directed analysis (EDA), offer valuable input to EWSs by pinpointing the relevant toxicity drivers and prioritizing the associated risks. This review evaluates the analytical techniques currently available to assess biological effects, and provides a structured plan for their systematic integration into an EWS for hazardous chemicals in the environment. Key scientific advancements in effect-based approaches and EDA are discussed, underscoring their potential for early detection and management of chemical hazards. Additionally, critical challenges such as data integration and regulatory alignment are addressed, emphasizing the need for continuous improvement of the EWS and the incorporation of analytical advancements to safeguard environmental and public health from emerging chemical threats.

2024

5 years of Sentinel-5P TROPOMI operational ozone profiling and geophysical validation using ozonesonde and lidar ground-based networks

Keppens, Arno; Di Pede, Serena; Hubert, Daan; Lambert, Jean-Christopher; Veefkind, Pepijn; Sneep, Maarten; De Haan, Johan; Ter Linden, Mark; Leblanc, Thierry; Compernolle, Steven; Verhoelst, Tijl; Granville, José; Nath, Oindrila; Fjæraa, Ann Mari; Boyd, Ian; Niemeijer, Sander; Van Malderen, Roeland; Smit, Herman G. J.; Duflot, Valentin; Godin-Beekmann, Sophie; Johnson, Bryan J.; Steinbrecht, Wolfgang; Tarasick, David W.; Kollonige, Debra E.; Stauffer, Ryan M.; Thompson, Anne M.; Dehn, Angelika; Zehner, Claus

The Sentinel-5 Precursor (S5P) satellite operated by the European Space Agency has carried the TROPOspheric Monitoring Instrument (TROPOMI) on a Sun-synchronous low-Earth orbit since 13 October 2017. The S5P mission has acquired more than 5 years of TROPOMI nadir ozone profile data retrieved from the level 0 to 1B processor version 2.0 and the level 1B to 2 optimal-estimation-based processor version 2.4.0. The latter is described in detail in this work, followed by the geophysical validation of the resulting ozone profiles for the period May 2018 to April 2023. Comparison of TROPOMI ozone profile data to co-located ozonesonde and lidar measurements used as references concludes to a median agreement better than 5 % to 10 % in the troposphere. The bias goes up to −15 % in the upper stratosphere (35–45 km) where it can exhibit vertical oscillations. The comparisons show a dispersion of about 30 % in the troposphere and 10 % to 20 % in the upper troposphere to lower stratosphere and in the middle stratosphere, which is close to mission requirements. Chi-square tests of the observed differences confirm on average the validity of the ex ante (prognostic) satellite and ground-based data uncertainty estimates in the middle stratosphere above about 20 km. Around the tropopause and below, the mean chi-square value increases up to about four, meaning that the ex ante TROPOMI uncertainty is underestimated. The information content of the ozone profile retrieval is characterised by about five to six vertical subcolumns of independent information and a vertical sensitivity (i.e. the fraction of the information that originates from the measurement) nearly equal to unity at altitudes from about 20 to 50 km, decreasing rapidly at altitudes above and below. The barycentre of the retrieved information is usually close to the nominal retrieval altitude in the 20–50 km altitude range, with positive and negative offsets of up to 10 km below and above this range, respectively. The effective vertical resolution of the profile retrieval usually ranges within 10–15 km, with a minimum close to 7 km in the middle stratosphere. Increased sensitivities and higher effective vertical resolutions are observed at higher solar zenith angles (above about 60°), as can be expected, and correlate with higher retrieved ozone concentrations. The vertical sensitivity of the TROPOMI tropospheric ozone retrieval is found to depend on the solar zenith angle, which translates into a seasonal and meridian dependence of the bias with respect to reference measurements. A similar although smaller effect can be seen for the viewing zenith angle. Additionally, the bias is negatively correlated with the surface albedo for the lowest three ozone subcolumns (0–18 km), despite the albedo's apparently slightly positive correlation with the retrieval degrees of freedom in the signal. For the 5 years of TROPOMI ozone profile data that are available now, an overall positive drift is detected for the same three subcolumns, while a negative drift is observed above (24–32 km), resulting in a negligible vertically integrated drift.

2024

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