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Potential use of CAMS modelling results in air quality mapping under ETC/ATNI
ir quality European-wide annual maps based on the Regression – Interpolation – Merging Mapping (RIMM) data fusion methodology have been regularly produced, using the Air Quality e-Reporting validated (E1a) monitoring data, the EMEP modelling data and other supplementary data. In this report, we examine the use of the preliminary (E2a) monitoring data as provided up-to-date (UTD) by many European countries and as also stored in the Air Quality e-Reporting database, together with the EMEP or the Copernicus Atmospheric Monitoring Service (CAMS) modelling data in two variants (i.e. CAMS Ensemble Interim Reanalysis and CAMS Ensemble Forecast) for potential preparing of preliminary spatial maps. With respect to the availability, the CAMS Ensemble Forecast is the most useful in the potential interim mapping. Such preliminary maps could be constructed approximately one year earlier than the validated maps. Even though we have demonstrated the feasibility, the mapping performance presented in the report is influenced by the lack of the E2a data in some areas.
Next to the evaluation of potential interim maps, regular RIMM maps based on the validated E1a measurement data using three different chemical transport model outputs have been compared, i.e. using the CAMS Ensemble Forecast, the CAMS Ensemble Interim Reanalysis and the EMEP model outputs. Based on the evaluation of the results presented, it is not possible to conclude that any of the three model datasets gives definitively better results compared to the others. The results do not provide strong reasons for a potential change of the model used in the regular mapping.
In addition, the RIMM mapping results have been compared with the CAMS Ensemble Forecast and the CAMS Ensemble Interim Reanalysis outputs. The comparison shows that the data fusion RIMM method gives better results, both in the rural and urban background areas, presumably because of the higher spatial resolution, introduction of additional ancillary data in the data fusion and not fully reduced bias in some data assimilation methods used in CAMS.
ETC/ATNI
2021
Development of Renewable Energy and its Impact on Air Quality. Co-benefits and Trade-Offs.
This study is an continuation of the work initiated in the European Topic Centre on Climate Change Mitigation and Energy (ETC/CME; report 2019/8) on the effect of the development of renewable energy sources (RES) since 2005 on emissions of anthropogenic air pollutants, which found that RES have led to an estimated increase of primary particulate matter emissions and a decrease of emissions of sulphur oxides and nitrogen oxides. The current study aims at evaluating the impact of these emission changes on air quality and human health by using the air quality model CHIMERE to understand the distribution of emissions. To this end, the emissions corresponding to a reference scenario and to different scenarios of development of renewable energy sources were spatialized over Europe based on the spatialization of emissions used within the Copernicus Atmosphere Monitoring Service (CAMS). The CHIMERE model was applied to calculate, for the year 2016, the impact of the different scenarios on air quality. Finally, the possible impact on human health was assessed. We also include a specific section devoted to residential emission spatialization techniques to review the related uncertainties.
According to the simulation results using emissions based on official data, significant increases of particulate matter concentrations exceeding 1 μg/m3 were found for some countries, linked primarily to the increase in residential wood burning when comparing 2005 with 2016. Exceptions were Portugal and Greece (two countries that decreased their use of biomass for heating). At the scale of the EU27+UK, in 2016, the interplay between emission increases due to biomass use and emission decreases due to all other RES growth is estimated to be responsible for around 9 200 premature deaths and 97 000 years of life lost. As such, the increase in solid biomass heating alone, (due particularly by the high emissions of fine particulate matter from domestic stoves), is estimated to be responsible for an increase of around 10 700 premature deaths and 113 000 years of life lost in 2016. These premature deaths could have been prevented by promoting the development of other RES than solid biomass heating.
Similar results were found at the European scale with simulations using emissions based on expert estimates but with strong differences according to the country. The differences are mostly due to differences in emissions that may not account for semi-volatile organic compounds for some countries. Excluding heating with biomass, all other RES use appears to have led to small reductions of particulate matter concentrations across the Union, with air quality benefits estimated at 1 600 avoided premature deaths and 16 000 prevented years of life lost in 2016. This is because the deployment of RES other than heating from solid biomass from 2005 to 2016 only lead to small changes in emissions of pollutants. However, these sources represented only 13% of the heating and electricity production in 2016.
ETC/ATNI
2021
Public awareness and efforts to improve air quality in Europe
Air pollution is the single largest environmental risk to the health of the Europeans and is receiving significant attention in the public space. It is comprehensively regulated in the EU, addressing air pollutants concentrations, as well as emissions from numerous sources. The legislation requires also for the authorities to inform the public.
In some cases, the authorities are struggling to implement measures to improve air quality and are met with barriers in the form of public opinion, for example, in cities. In other cases, citizens are taking action with the aim of pushing the authorities to improve air quality.
This report aims to reflect on what air quality information authorities provide and how the public perceives air quality and the information provided. It also looks on actions civil society takes towards improvements of air quality and the role of public awareness and understanding.
ETC/ATNI
2021
Målinger av SO2 i omgivelsene til Elkem Carbon og REC Solar. Januar 2020 – desember 2020.
På oppdrag fra Elkem Carbon AS har NILU utført målinger av SO2 i omgivelsene til Elkem Carbon og REC Solar i Vågsbygd
(Kristiansand kommune). Bedriftene ble pålagt av Miljødirektoratet å gjennomføre SO2-målinger i omgivelsesluft.
Målingene ble utført med SO2-monitor i boligområdet på Fiskåtangen (Konsul Wilds vei) og med passive SO2-prøvetakere
ved 6 steder rundt bedriftene. Rapporten dekker målinger i perioden 1. januar 2020 – 31. desember 2020.
Norske grenseverdier for luftkvalitet (SO2) ble overholdt ved Konsul Wilds vei for alle midlingsperioder krevet i
forurensningsforskriften (årsmiddel, vintermiddel, døgnmiddel og timemiddel). De mest belastede stedene i måleperioden
var Konsul Wilds vei og Fiskåveien rett sør for bedriftene.
NILU
2021
The increase of the commercial availability of low-cost sensor technology to monitor atmospheric composition is contributing to the rapid adoption of such technology by both public authorities and self-organized initiatives (e.g. grass root movements, citizen science, etc.). Low-cost sensors (LCS) can provide real time measurements, in principle at lower cost than traditional monitoring reference stations, allowing higher spatial coverage than the current reference methods. However, data quality from LCS is lower than the one provided by reference methods. Also, the total cost of deploying a dense sensor network needs to consider the costs associated not only to the sensor platforms but also the costs associated for instance with deployment, maintenance and data transmission.
This report aims to give an overview of the current status of LCS technology in relation to commercialization, measuring capabilities and data quality, with especial emphasis on the challenges associated to the use of this novel technology, and the opportunities they open when correctly used.
NILU
2021
Målinger av PM10 i Lohavn. April og mai 2020.
NILU – Norsk institutt for luftforskning har på oppdrag fra HAV Eiendom utført målinger av svevestøv (PM10) i Lohavn i Oslo. Området skal utvikles til et nytt byområde med boliger, skole, utearealer og næring. PM-konsentrasjonen ble målt på tre steder i Lohavn for å kartlegge svevestøvkonsentrasjonen og mulige kilder. Måleprosjektet pågikk våren 2020. Mulige effekter av Covid-nedstengning, variasjoner i trafikkmengden i området og variasjoner av meteorologiske parametere på PM-konsentrasjonen er diskutert.
Måleresultatene viser lavere PM-konsentrasjon enn i måleperioden 2016/17. Årsaken var trolig bortfall av midlertidige kilder som førte til periodevis høye konsentrasjoner i 2016/17. De høyeste PM10-konsentrasjonene ble observert ved vind fra sør-sørvest (som dominerer på dagtid).
NILU
2021
2021
The report holds a comprehensive literature review on the non-exhaust PM emission from transport. All types of wear particles are considered (brake, tyre, road surface) and all modes (road, rail, aviation), with strong emphasis on road. The report serves as an input to review current emission inventories, summarizing the current emission estimates, the estimation methodologies, uncertainties and future trends, briefly zooming in on the relevance of electric vehicles. The report considers both air quality as well as the relevance of non-exhaust emission as a source of microplastics. To conclude, the report includes a brief overview of technological and policy options to reduce the environmental impact.
ETC/ATNI
2021