Fant 9758 publikasjoner. Viser side 11 av 391:
Stiftelsen NILU har, i samarbeid med Transportanalyse AS, utarbeidet trafikk- og luftkvalitetsberegninger for Oslo og Bærum kommuner. Arbeidet omfatter en kartlegging av luftkvaliteten ved trafikkberegninger og utslipps- og spredningsberegninger for relevante forurensningskomponenter (PM10, PM2,5 og NO2) for Dagens situasjon 2022 og Referansesituasjonen 2030 og for 2030 med tiltak. Det er beregnet risiko for overskridelse av dagens grenseverdier i forurensningsforskriften og for grenseverdier i revidert EU-direktiv som vil innføres i 2030.
NILU
2024
NILU har i 2024 bistått Klima- og miljødepartementet (KLD) med en utrednings- og medvirkningsprosess for å se på muligheten for etablering av et samfunnsoppdrag for sirkulær økonomi. Dette er et oppdrag under KLDs rammeavtale for klima- og miljøkunnskap. I regjeringens «Handlingsplan for en sirkulær økonomi» er et av handlingspunktene å utrede et samfunnsoppdrag for sirkulær økonomi. Målet med dette oppdraget var å fasilitere en prosess for å identifisere mulige overordnede mål og delmål og etablere rammen for et mulig nasjonalt samfunnsoppdrag. Aktivitetene i denne fasen inkluderte en serie med koordinerte samskapingsmøter for å mobilisere og engasjere relevante samfunnsaktører og komme fram til en felles forståelse av et mulig målrettet samfunnsoppdrag. Prosessen og resultatene er oppsummert i denne rapporten.
NILU
2024
2024
2024
2024
2024
Måling av gasser i Statsarkivets lokaler i Trondheim. Fase 2 - 2024
Denne rapporten viser resultater fra fase 2 i måleprosjektet NILU har utført ved Statsarkivet i Trondheim. Det er gjort prøvetaking og analyse i en periode på sju dager fra 23. til 30. mai ved to lokaliteter, én innendørs og én utendørs. Totalkonsentrasjonen av VOC’er (TVOC) ble målt til 135 µg/m3 gitt som toluen-ekvivalenter ved lokaliteten inne (MAG A, Reol 097) og 33 µg/m3 ved lokaliteten ute. Resultatene synliggjør effekten av innendørs ventilasjonssystemer og begge studiene vil brukes av Statsarkivet i sitt videre arbeid med innendørs luftkvalitet.
NILU
2024
Spredningsberegninger av luftforurensning fra Sunndal Metallverk
Rapporten presenterer spredningsberegninger for utslipp til luft fra Hydro Sunndal sitt smelteverk i Sunndalsøra for nåsituasjonen med utslippsmengder som i gjeldende utslippstillatelse, og en situasjon med ny utvidet anodefabrikk. Det er beregnet bakkekonsentrasjoner av SO2, støv, fluorider, PAH og metallkomponenter. Det er også gjort beregninger for utslipp i perioden 23. mai til 15. august 2019 hvor NILU utførte målinger av disse komponentene. Basert på beregningene er det vurdert «lav til moderat» risiko for overskridelse av forskriftens målsettingsverdi for nikkel i området nær anlegget. Ny anodefabrikk har ingen vesentlig betydning for konsentrasjonsnivåer utenfor metallverket som er relevant i forhold til gjeldende grenseverdier eller luftkvalitetskriterier.
NILU
2024
We investigate the concentration fluctuations of passive scalar plumes emitted from small, localised (point-like) steady sources in a neutrally stratified turbulent boundary layer over a rough wall. The study utilises high-resolution large-eddy simulations for sources of varying sizes and heights. The numerical results, which show good agreement with wind-tunnel studies, are used to estimate statistical indicators of the concentration field, including spectra and moments up to the fourth order. These allow us to elucidate the mechanisms responsible for the production, transport and dissipation of concentration fluctuations, with a focus on the very near field, where the skewness is found to have negative values – an aspect not previously highlighted. The gamma probability density function is confirmed to be a robust model for the one-point concentration at sufficiently large distances from the source. However, for ground-level releases in a well-defined area around the plume centreline, the Gaussian distribution is found to be a better statistical model. As recently demonstrated by laboratory results, for elevated releases, the peak and shape of the pre-multiplied scalar spectra are confirmed to be independent of the crosswind location for a given downwind distance. Using a stochastic model and theoretical arguments, we demonstrate that this is due to the concentration spectra being directly shaped by the transverse and vertical velocity components governing the meandering of the plume. Finally, we investigate the intermittency factor, i.e. the probability of non-zero concentration, and analyse its variability depending on the thresholds adopted for its definition.
Cambridge University Press
2024
Geopolitical events have shown to threaten European energy security in 2022. In Norway, accustomed to low energy prices, the southern part saw 4 times higher electricity prices in 2022 than long term average, whereas in the north, energy prices remained stable. This offers an opportunity to examine the effect of price on household energy consumption and PM2.5 emissions from the residential sector. In the south, electricity consumption went down by 10% while in the north it remained unchanged relative to expected values. While the documented correlation between increased electricity prices and reduced consumption is well-established, our study uniquely captures a substantial shift towards wood as an alternative energy source. In the south, wood for heating increased by approximately 40%, effectively replacing half of the electricity saved. This increase happened despite prices being curbed by strong government subsidies on electricity. Faced with higher energy costs in Europe, we simulate a scenario where consumers across Europe look for affordable energy. With gas and electricity prices predicted to remain well above long-term averages until 2030, biomass will be an attractive option. Our study shows how a shift can endanger Europe's Zero-Pollution strategy, and the need for initiatives targeting the reduction of residential biomass heating.
Elsevier
2024
2024
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
Assessing the environmental burden of disease related to air pollution in Europe in 2022
This report evaluates the health burden due to long-term exposure to PM2.5, NO2, and O3 across Europe in 2022. By analysing all-cause and cause-specific mortality and morbidity, it estimates disease burden using four indicators: Attributable Deaths (AD), Years of Life Lost, Years Lived with Disability, and Disability-Adjusted Life Years (DALY). However, the main results only consider the impact of exposure to levels of pollutants exceeding the current WHO air quality guidelines. The results indicate that PM2.5 contributes the most significant health impact (linked to six diseases), resulting in over 2.7 million DALY across 40 countries, and resulting in 269 000 AD, with mortality rates peaking in Eastern Europe. The report introduces methodological advancements, assessing the long-term impacts of O3 for the first time. Findings underscore the critical need for targeted air quality interventions, as pollution continues to drive significant health losses across the continent, particularly among vulnerable populations.
ETC/HE
2024
Fine particulate matter (PM2.5) is a key air quality indicator due to its adverse health impacts. Accurate PM2.5 assessment requires high-resolution (e.g., atleast 1 km) daily data, yet current methods face challenges in balancing accuracy, coverage, and resolution. Chemical transport models such as those from the Copernicus Atmosphere Monitoring Service (CAMS) offer continuous data but their relatively coarse resolution can introduce uncertainties. Here we present a synergistic Machine Learning (ML)-based approach called S-MESH (Satellite and ML-based Estimation of Surface air quality at High resolution) for estimating daily surface PM2.5 over Europe at 1 km spatial resolution and demonstrate its performance for the years 2021 and 2022. The approach enhances and downscales the CAMS regional ensemble 24 h PM2.5 forecast by training a stacked XGBoost model against station observations, effectively integrating satellite-derived data and modeled meteorological variables. Overall, against station observations, S-MESH (mean absolute error (MAE) of 3.54 μg/m3) shows higher accuracy than the CAMS forecast (MAE of 4.18 μg/m3) and is approaching the accuracy of the CAMS regional interim reanalysis (MAE of 3.21 μg/m3), while exhibiting a significantly reduced mean bias (MB of −0.3 μg/m3 vs. −1.5 μg/m3 for the reanalysis). At the same time, S-MESH requires substantially less computational resources and processing time. At concentrations >20 μg/m3, S-MESH outperforms the reanalysis (MB of −7.3 μg/m3 and -10.3 μg/m3 respectively), and reliably captures high pollution events in both space and time. In the eastern study area, where the reanalysis often underestimates, S-MESH better captures high levels of PM2.5 mostly from residential heating. S-MESH effectively tracks day-to-day variability, with a temporal relative absolute error of 5% (reanalysis 10%). Exhibiting good performance at high pollution events coupled with its high spatial resolution and rapid estimation speed, S-MESH can be highly relevant for air quality assessments where both resolution and timeliness are critical.
Elsevier
2024
Air quality and transport behaviour: sensors, field, and survey data from Warsaw, Poland
The present study describes the data sets produced in Warsaw, Poland with the aim of developing tools and methods for the implementation of human-centred and data-driven solutions to the enhancement of sustainable mobility transition. This study focuses on school commutes and alternatives to private cars for children drop off and pick up from primary schools. The dataset enables the complex analysis of interactions between determinants of transport mode choice, revealed choices, and air quality impact. We draw on four data collection methods, namely, (i) air quality and noise sensors’ measurements, (ii) in-person observations of transport behaviours, (iii) travel diaries, and (iv) social surveys. Moreover, all trip data from travel diaries are complemented with the calculated attributes of alternative travel modes. The data produced in the project can be also combined with publicly available information on air quality, public transport schedules, and traffic flows. The present data sets help to open new venues for interdisciplinary analyses of sustainable mobility transition effectiveness and efficiency.
Springer Nature
2024
2024
2024
2024
2024
European pollen reanalysis, 1980–2022, for alder, birch, and olive
The dataset presents a 43 year-long reanalysis of pollen seasons for three major allergenic genera of trees in Europe: alder (Alnus), birch (Betula), and olive (Olea). Driven by the meteorological reanalysis ERA5, the atmospheric composition model SILAM predicted the flowering period and calculated the Europe-wide dispersion pattern of pollen for the years 1980–2022. The model applied an extended 4-dimensional variational data assimilation of in-situ observations of aerobiological networks in 34 European countries to reproduce the inter-annual variability and trends of pollen production and distribution. The control variable of the assimilation procedure was the total pollen release during each flowering season, implemented as an annual correction factor to the mean pollen production. The dataset was designed as an input to studies on climate-induced and anthropogenically driven changes in the European vegetation, biodiversity monitoring, bioaerosol modelling and assessment, as well as, in combination with intra-seasonal observations, for health-related applications.
Springer Nature
2024