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This report presents a review of data assimilation methods applicable to air quality. In the introduction, we first describe a brief history of data assimilation method development in the context of numerical weather prediction (NWP), and then we highlight key differences when applying data assimilation methods to air quality prediction from NWP applications. Based on these differences, we outline a set of key requirements for data assimilation when applied to air quality. Following this, we review the available data assimilation algorithms and attempt to identify suitable data assimilation methods that could be applied with air quality models. This review and its findings form the basis of the developments to be carried out in the Urban Data Assimilation Systems project.
NILU
2021
NILU – Norsk institutt for luftforskning og Ingenia AS har på oppdrag fra Statens vegvesen kartlagt effekten ventilasjonstårnene i Ekeberg- og Bjørvikatunnelen har med hensyn til å redusere luftforurensning fra dagsonen på Sørenga. Prosjektet besto av et omfangsrikt måleprogram i og rundt Operatunnelen i Bjørvika, en vurdering av ventilasjonstårnenes effekt basert på målingene og forslag til prinsipper for et nytt styringsregime.
Drift av ventilasjonstårnene ble funnet å ha en tydelig effekt på PM10- og NO2-konsentrasjonen i dagsonen og på bakkenivå utenfor dagsonen fra trinn 3 (av 4). Forslaget til nytt styringsregime fokuserer på ventilasjonstårndrift i piggdekksesongen og avhengighet av ytre forhold.
NILU
2021
Heavy metals and POPs: Pollution assessment of toxic substances on regional and global scales
Meteorological Synthesizing Centre - East
2021
2021
Air Quality in Ny-Ålesund. Monitoring of Local Air Quality 2019 and 2020.
The concentrations of the measured components are generally low and below national limit values for the protection of
human health and critical levels for the protection of vegetation. Wind from northern sectors gave the highest average concentrations of nitrogen oxides and sulfur dioxide, which indicates the power station and the harbour as possible sources. We also see single episodes of long-range transport of sulfur dioxide.
NILU
2021
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
This report analyses evolution and trends of air quality in Europe, based on a 15-year time series of spatial data fusion maps for the years 2005-2019. The analysis has been performed for PM10 annual average, the ozone indicator SOMO35 and NO2 annual average. For the purpose of the Eionet Report - ETC/ATNI 2021/11 trend analysis, a consistent reconstruction of the full 15-year time series of air quality maps has been performed, based on a consistent mapping methodology and input data. For the reconstruction, the Regression – Interpolation – Merging Mapping (RIMM) methodology as routinely used in the regular European-wide annual mapping has been applied.
The trend analysis has been performed based on time series of the aggregated data for individual countries, for large European regions and for the entire mapping area, both for spatial and population-weighted aggregations. In addition, maps of trends have been constructed based on the trend estimates for all grid cells of a map.
For the European-wide aggregations across the whole mapping area, statistically significant downward trend have been estimated for PM10 and NO2, while no significant trend was detected in the case of ozone.
ETC/ATNI
2021