Prediction of source contributions to urban background PM10 concentrations in European cities: a case study for an episode in December 2016 using EMEP/MSC-W rv4.15 and LOTOS-EUROS v2.0 – Part 1: The country contributions

A large fraction of the urban population in Europe is exposed to particulate matter levels above the WHO guideline value. To make more effective mitigation strategies, it is important to understand the influence on particulate matter (PM) from pollutants emitted in different European nations. In this study, we evaluate a country source contribution forecasting system aimed at assessing the domestic and transboundary contributions to PM in major European cities for an episode in December 2016. The system is composed of two models (EMEP/MSC-W rv4.15 and LOTOS-EUROS v2.0), which allows the consideration of differences in the source attribution. We also compared the PM10 concentrations, and both models present satisfactory agreement in the 4 d forecasts of the surface concentrations, since the hourly concentrations can be highly correlated with in situ observations. The correlation coefficients reach values of up to 0.58 for LOTOS-EUROS and 0.50 for EMEP for the urban stations; the values are 0.58 for LOTOS-EUROS and 0.72 for EMEP for the rural stations. However, the models underpredict the highest hourly concentrations measured by the urban stations (mean underestimation of 36 %), which is to be expected given the relatively coarse model resolution used (0.25∘ longitude × 0.125∘ latitude). For the source attribution calculations, LOTOS-EUROS uses a labelling technique, while the EMEP/MSC-W model uses a scenario having reduced anthropogenic emissions, and then it is compared to a reference run where no changes are applied. Different percentages (5 %, 15 %, and 50 %) for the reduced emissions in the EMEP/MSC-W model were used to test the robustness of the methodology. The impact of the different ways to define the urban area for the studied cities was also investigated (i.e. one model grid cell, nine grid cells, and grid cells covering the definition given by the Global Administrative Areas – GADM). We found that the combination of a 15 % emission reduction and a larger domain (nine grid cells or GADM) helps to preserve the linearity between emission and concentrations changes. The nonlinearity, related to the emission reduction scenario used, is suggested by the nature of the mismatch between the total concentration and the sum of the concentrations from different calculated sources. Even limited, this nonlinearity is observed in the NO-3, NH+4, and H2O concentrations, which is related to gas–aerosol partitioning of the species. The use of a 15 % emission reduction and of a larger city domain also causes better agreement on the determination of the main country contributors between both country source calculations. Over the 34 European cities investigated, PM10 was dominated by domestic emissions for the studied episode (1–9 December 2016). The two models generally agree on the dominant external country contributor (68 % on an hourly basis) to PM10 concentrations. Overall, 75 % of the hourly predicted PM10 concentrations of both models have the same top five main country contributors. Better agreement on the dominant country contributor for primary (emitted) species (70 % is found for primary organic matter (POM) and 80 % for elemental carbon – EC) than for the inorganic secondary component of the aerosol (50 %), which is predictable due to the conceptual differences in the source attribution used by both models. The country contribution calculated by the scenario approach depends on the chemical regime, which largely impacts the secondary components, unlike the calculation using the labelling approach

Mapping correlations between nitrogen concentrations in atmospheric deposition and mosses for natural landscapes in Europe

Recent investigations proved that nitrogen (N) concentrations in mosses are primarily determined byatmospheric deposition. The correlations are country- and N compound-specific and agree well withspatial patterns and temporal trends across Europe as a whole and in single European countries. Thisstudy investigates whether correlations between the concentration of N in atmospheric deposition andmosses within the units of an ecological land classification of Europe can be established. To this end, N measurements from the 2005 European moss survey and modelled N atmospheric deposition in 2005were intersected with a map of European landscapes. Then, considering minimum numbers of samplingsites required across Europe, in single European countries and within the landscapes of Europe andaccounting for spatial auto-correlation, the correlations between the N concentration in mosses andcorresponding deposition were calculated and mapped for each of those landscape units containingmoss sampling sites. Using an example of one landscape with positive correlation and one landscape withno correlation between N concentrations in deposition and in mosses, influencing factors were rankedbased on investigating the multivariate interactions between moss concentrations and, amongst others,atmospheric deposition, land use, elevation or moss species by classification and regression trees. Fromthis study it could be concluded that the numbers of sampling sites within Europe and most participatingcountries as well as within most of the landscapes covering Europe are sufficient. Spatial patterns ofcorrelations between the atmospheric N deposition and N concentration in mosses could be provento vary across the landscapes of Europe. Where clear positive correlations between N concentrationsin deposition and mosses exist in landscapes, multivariate ranking identifies the deposition as maininfluencing factor. In cases with no correlation between deposition and N concentrations in mosses,other factors such as e.g. moss species collected may be of importance. Therefore, mosses were proved toserve as biological indicators for atmospheric depositions and ecologically defined land classes could beidentified as more complex indicators which allow relating exposure monitoring with effects assessment

ØKOKYST Subprogram Nordsjøen Nord, Annual Report 2018

Prosjektleder Trine DaleI ØKOKYST-delprogram Nordsjøen Nord ble deler av grunnprogrammet gjennomført i 2018. Prøvetakningen inkluderte 8 pelagiske stasjoner, 6 hardbunnstasjoner og 5 bløtbunnstasjoner, hvorav 2 pelagiske, 2 hardbunns og 1 bløtbunnstasjon var tilleggsundersøkelser (opsjoner). En stasjon fra Ferrybox er også inkludert i 2018-programmet. Det inngår 12 vannforekomster i delprogram Nordsjøen Nord, og 11 av disse ble prøvetatt i 2018. Tilstanden varierte fra «Dårlig» til «Meget god» i 2018. Vannforekomsten Maurangsfjorden fikk tilstand «Dårlig», og redusert tilstand var knyttet til kvalitetselementet makroalger. Vannforekomsten Aurlandsfjorden fikk tilstand «Moderat». Her var redusert tilstand knyttet til kvalitetselementet klorofyll-a. 5 av vannforekomstene fikk «God» tilstand, mens de resterende 4 fikk tilstand «Meget god».MiljødirektoratetpublishedVersio

ØKOKYST – DP Skagerrak. 2018 report.

Prosjektleder Camilla With FagerliOvervåkingsprogrammet "Økosystemovervåking i Kystvann – ØKOKYST" har til hensikt å overvåke miljøtilstanden i utvalgte områder langs norskekysten i henhold til vannforskriften. Delprogram Skagerrak omfattet i 2018 14 vannforekomster lokalisert i Ytre Oslofjord og Grenlandsfjordene. Samlet tilstand i vannforekomstene varierte fra «dårlig» til «god» tilstand i 2018.MiljødirektoratetpublishedVersio

Økokyst - DP Nordsjøen, Årsrapport 2022

Prosjektleder: Hilde Cecilie TrannumOvervåkingsprogrammet "Økosystemovervåking i Kystvann – Økokyst" har til hensikt å overvåke miljøtilstanden langs norskekysten i henhold til vannforskriften. Økokyst delprogram Nordsjøen dekker kyststrekningen fra Lista til Sognefjorden. 21 vannforekomster inngikk. Av disse fikk fem vannforekomster «moderat» tilstand, to «svært god» tilstand og de resterende fikk «god» tilstand. Det var hovedsakelig oksygen som trakk ned tilstanden, og i Jøsenfjorden også bløtbunnsfauna.MiljødirektoratetpublishedVersio

Parents’ and Teachers’ Opinions about the School Food Policy in Belgian Flemish Nursery Schools

The partnership of parents, teachers, and schools is necessary to develop effective school food interventions. To gather parents' and teachers' opinions and perceptions about the school food policy, 884 parents and 70 teachers of preschoolers completed a questionnaire. School food policy is an issue of importance for parents and teachers: the majority agrees that schools should restrict the availability of snacks and soft drinks; however, to replace fruit juice and sugared milk drinks with sugarless alternatives will take special effort. Fruit is not always available at school, although parents would appreciate it. Parents of lower educational level are in general more permissive

Eurodelta multi-model simulated and observed particulate matter trends in Europe in the period of 1990-2010

The Eurodelta-Trends (EDT) multi-model experiment, aimed at assessing the efficiency of emission mitigation measures in improving air quality in Europe during 1990-2010, was designed to answer a series of questions regarding European pollution trends; i.e. were there significant trends detected by observations? Do the models manage to reproduce observed trends? How close is the agreement between the models and how large are the deviations from observations? In this paper, we address these issues with respect to particulate matter (PM) pollution. An in-depth trend analysis has been performed for PM10 and PM2.5 for the period of 2000-2010, based on results from six chemical transport models and observational data from the EMEP (Cooperative Programme for Monitoring and Evaluation of the Long-range Transmission of Air Pollutants in Europe) monitoring network. Given harmonization of set-up and main input data, the differences in model results should mainly result from differences in the process formulations within the models themselves, and the spread in the model-simulated trends could be regarded as an indicator for modelling uncertainty.The model ensemble simulations indicate overall decreasing trends in PM10 and PM2.5 from 2000 to 2010, with the total reductions of annual mean concentrations by between 2 and 5 (7 for PM10) mu g m(-3) (or between 10 % and 30 %) across most of Europe (by 0.5-2 mu g m(-3) in Fennoscandia, the north-west of Russia and eastern Europe) during the studied period. Compared to PM2.5, relative PM10 trends are weaker due to large interannual variability of natural coarse PM within the former. The changes in the concentrations of PM individual components are in general consistent with emission reductions. There is reasonable agreement in PM trends estimated by the individual models, with the inter-model variability below 30 %-40 % over most of Europe, increasing to 50 %-60 % in the northern and eastern parts of the EDT domain.Averaged over measurement sites (26 for PM10 and 13 for PM2.5), the mean ensemble-simulated trends are - 0.24 and -0.22 mu g m(-3) yr(-1) for PM10 and PM2.5, which are somewhat weaker than the observed trends of - 0.35 and -0.40 mu g m(-3) yr(-1) respectively, partly due to model underestimation of PM concentrations. The correspondence is better in relative PM10 and PM2.5 trends, which are -1.7 % yr(-1) and -2.0 % yr(-1) from the model ensemble and -2.1 % yr(-1) and -2.9 % yr(-1) from the observations respectively. The observations identify significant trends (at the 95 % confidence level) for PM10 at 56 % of the sites and for PM2.5 at 36 % of the sites, which is somewhat less that the fractions of significant modelled trends. Further, we find somewhat smaller spatial variability of modelled PM trends with respect to the observed ones across Europe and also within individual countries.The strongest decreasing PM trends and the largest number of sites with significant trends are found for the summer season, according to both the model ensemble and observations. The winter PM trends are very weak and mostly insignificant. Important reasons for that are the very modest reductions and even increases in the emissions of primary PM from residential heating in winter. It should be kept in mind that all findings regarding modelled versus observed PM trends are limited to the regions where the sites are located.The analysis reveals considerable variability of the role of the individual aerosols in PM10 trends across European countries. The multi-model simulations, supported by available observations, point to decreases in SO42- concentrations playing an overall dominant role. Also, we see relatively large contributions of the trends of NH4+ and NO3- to PM10 decreasing trends in Germany, Denmark, Poland and the Po Valley, while the reductions of primary PM emissions appear to be a dominant factor in bringing down PM10 in France, Norway, Portugal, Greece and parts of the UK and Russia. Further discussions are given with respect to emission uncertainties (including the implications of not accounting for forest fires and natural mineral dust by some of the models) and the effect of inter-annual meteorological variability on the trend analysis.Peer reviewe

Global and Regional Trends of Atmospheric Sulfur

The profound changes in global SO[subscript 2] emissions over the last decades have affected atmospheric composition on a regional and global scale with large impact on air quality, atmospheric deposition and the radiative forcing of sulfate aerosols. Reproduction of historical atmospheric pollution levels based on global aerosol models and emission changes is crucial to prove that such models are able to predict future scenarios. Here, we analyze consistency of trends in observations of sulfur components in air and precipitation from major regional networks and estimates from six different global aerosol models from 1990 until 2015. There are large interregional differences in the sulfur trends consistently captured by the models and observations, especially for North America and europe. europe had the largest reductions in sulfur emissions in the first part of the period while the highest reduction came later in North America and east Asia. the uncertainties in both the emissions and the representativity of the observations are larger in Asia. However, emissions from East Asia clearly increased from 2000 to 2005 followed by a decrease, while in India a steady increase over the whole period has been observed and modelled. the agreement between a bottom-up approach, which uses emissions and process-based chemical transport models, with independent observations gives an improved confidence in the understanding of the atmospheric sulfur budget

Air pollution trends in the EMEP region between 1990 and 2012

The present report synthesises the main features of the evolution over the 1990-2012 time period of the concentration and deposition of air pollutants relevant in the context of the Convention on Long-range Transboundary Air Pollution: (i) ozone, (ii) sulfur and nitrogen compounds and particulate matter, (iii) heavy metals and persistent organic pollutants. It is based on observations gathered in State Parties to the Convention within the EMEP monitoring network of regional background stations, as well as relevant modelling initiatives. Joint Report of: EMEP Task Force on Measurements and Modelling (TFMM), Chemical Co-ordinating Centre (CCC), Meteorological Synthesizing Centre-East (MSC-E), Meteorological Synthesizing Centre-West (MSC-W)