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Målinger av PM10 i Lohavn. April og mai 2020.
On behalf of Hav Eiendom, NILU – Norwegian Institute for Air Research carried out measurements of particulate matter (PM10) in Lohavn in Oslo. The area will be developed into a new urban area with residential buildings, school, outdoor areas and businesses. The PM-concentration was measured at three locations in Lohavn to map the PM-distribution and possible sources. The measurement project took place in spring 2020. Possible effects of Covid-shutdown, variations in amount of traffic in the area and meteorological variations on the PM concentration are discussed.
The measurement results show a lower PM-concentration than in the measurement period 2016/17. The reason was probably the disappearance of temporary sources which led to periodically high concentrations in 2016/17. The highest PM10-concentrations were observed with winds from the south-southwest (which dominates during the day).
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
The report provides the annual update of the European air quality concentration maps and population exposure estimates for human health related indicators of pollutants PM10 (annual average, 90.4 percentile of daily means), PM2.5 (annual average), ozone (93.2 percentile of maximum daily 8-hour means, SOMO35, SOMO10) and NO2 (annual average), and vegetation related ozone indicators (AOT40 for vegetation and for forests) for the year 2018. The report contains also Phytotoxic ozone dose (POD) for wheat and potato maps and NOx annual average maps for 2018. The POD maps are presented for the first time in this regular mapping report. The trends in exposure estimates in the period 2005-2018 are summarized. The analysis is based on interpolation of annual statistics of the 2018 observational data reported by the EEA member and cooperating countries and other voluntary reporting countries and stored in the Air Quality e-reporting database. The mapping method is the Regression – Interpolation – Merging Mapping. It combines monitoring data, chemical transport model results and other supplementary data using linear regression model followed by kriging of its residuals (residual kriging). The paper presents the mapping results and gives an uncertainty analysis of the interpolated maps.
ETC/ATNI
2021
2021
2021
Rapporten presenterer en oversikt over dataassimilasjonsmetoder som kan anvendes for luftkvalitetsmodellering. Innledningsvis beskrives kort historisk bakgrunn for bruk av dataassimilasjon i numerisk værvarsling, der vi legger vekt på forskjellene mellom anvendelse av assimilasjon i meteorologiske varslingsmodeller og i spredningsmodeller for luftkvalitet. Basert på disse forskjellene beskrives så ønskede egenskaper til assimilasjonsmetoder for luftkvalitetsmodellering. Deretter gis en oversikt over tilgjengelige assimilasjonsmetoder, der vi søker å identifisere de mest aktuelle for vårt bruk som grunnlag for videre anvendelser i prosjektet.
NILU
2021
American Geophysical Union (AGU)
2021
Royal Society of Chemistry (RSC)
2021
Norsk institutt for naturforskning (NINA)
2021
Method for high resolution emission estimations from construction sites. Phase I: Mapping input data
Denne rapporten presenterer resultatene fra analyse av tilgjengelige inngangsdata for å utvikle en modell for estimering av luftforurensende stoffer og klimagassutslipp basert på en «bottom-up»-tilnærming, inkludert både eksos- og ikke-eksosutslipp. Tilgjengeligheten av pålitelige inngangsdata er den begrensende faktoren og den mest kritiske delen av utformingen av en slik «bottom-up»-tilnærming. I denne studien har vi fokusert på å vurdere inngangsdata som gjør det mulig å definere; i) den nøyaktige plasseringen og området som påvirkes under bygging og konstruksjon, ii) start- og sluttdatoer; iii) typen byggeaktivitet; iv) aktiviteter med ikke-veigående mobile maskiner (NRMM) innen bygg og anlegg; v) veier i nærheten av byggeplasser.
NILU
2021
2021
2021
2021
2021
2021
Editorial for the Special Issue From Nanoinformatics to Nanomaterials Risk Assessment and Governance
MDPI
2021
Ren luft for alle. ExtraStiftelsen project 2019/HE1-263918.
In 2019, in the framework of Oslo being European Green Capital, NILU invited students from elementary schools to
measure air pollution in their neighbourhood, using simple and affordable measuring methods based on paper and
Vaseline. The students prepared the measuring devices and selected the places where they wanted to monitor. After one
week, they retrieved the devices and used a scale to compare the amount of dust fastened to the Vaseline. All of the data
gathered by the students was uploaded by the teachers to a website (https://luftaforalle.nilu.no/), where a map showed all the results from the participating schools. The school campaign has helped researchers to get data on particulate matter from many places where data was not available, and has increased awareness among the children about the sustainability challenges cities are facing.
NILU
2021
2021
Academic Press
2021