Fant 2252 publikasjoner. Viser side 32 av 226:
Skogens helsetilstand påvirkes i stor grad av klima og værforhold, enten direkte ved tørke, frost og vind, eller indirekte ved at klimaet påvirker omfanget av soppsykdommer og insektangrep. Klimaendringene og den forventede økningen i klimarelaterte skogskader gir store utfordringer for forvaltningen av framtidas skogressurser. Det samme gjør invaderende skadegjørere, både allerede etablerte arter og nye som kan komme til Norge i nær framtid. I denne rapporten presenteres resultater fra skogskadeovervåkingen i Norge i 2018 og trender over tid for følgende temaer: (i) Landsrepresentativ skogovervåking; (ii) Skogøkologiske analyser og målinger av luftkjemi på de intensive overvåkingsflatene; (iii) Overvåking av bjørkemålere i Troms og Finnmark; (iv) Granbarkbilleovervåking – utvikling av barkbillepopulasjonene i 2018; (v) Ny barkbille på vei – vil den like klimaet?; (vi) Phytophthora i importert jord på prydplanter og faren det utgjør for skog; (vii) Overvåking av askeskuddsyke; (viii) Skog- og utmarksbranner i 2018; (ix) Andre spesielle skogskader i 2018...….
NIBIO
2019
Instrumenter som skal brukes til måling av lokal luftkvalitet i henhold til forurensningsforskriften skal være godkjente for dette formålet. Norge har per i dag ingen godkjenningsordning. Inntil videre godkjennes derfor de instrumenter som det svenske referanselaboratoriet for luft har godkjent.
Denne rapporten beskriver hvordan en godkjenningsordning kan etableres i Norge, basert på rutinen brukt i Sverige, gjennom å belyse den lovmessige forankringen og prosedyren for typegodkjenning. Oppgavene og ansvarsfordelingen mellom den ansvarlige forvaltningsmyndigheten (Miljødirektoratet) og Referanselaboratoriet er forklart.
Miljødirektoratet rapport, M-1327/2019.
NILU
2019
Trends in measured NO2 and PM. Discounting the effect of meteorology.
This report documents a study on long-term trends in observed atmospheric levels of NO2, PM10 and PM2.5 based on data from the European Environmental Agency (EEA) Airbase v8 (EEA, 2018). The main aim is to evaluate to what extent the observed time series could be simulated as a function of various local meteorological data plus a time-trend by a Generalized Additive Model (GAM). The GAM could be regarded an advanced multiple regression model. If successful, such a model could be used for several purposes; to estimate the long-term trends in NO2 and PM when the effect of the inter-annual variations in meteorology is removed, and secondly, to “explain” the concentration levels in one specific year in terms of meteorological anomalies and long-term trends. The GAM method was based on a methodology developed during a similar project in 2017 looking at the links between surface ozone and meteorology.
The input to the study consisted of gridded model meteorological data provided through the EURODELTA Trends project (Colette et al., 2017) for the 1990-2010 period as well as measured data on NO2, PM10 and PM2.5 extracted from Airbase v8. The measurement data was given for urban, suburban and rural stations, respectively. The analysis was split into two time periods, 1990-2000 and 2000-2010 since the number of stations differ substantially for these periods and since there is reason to believe that the trends differ considerably between these two periods.
The study was focused on the 4-months winter period (Nov-Feb) since it was important to assure a period of the year with consistent and homogeneous relationships between the input explanatory data (local meteorology) and the levels of NO2 and PM. For NO2, this period will likely cover the season with the highest concentration levels whereas for PM high levels could be expected outside this period due to processes such as secondary formation, transport of Saharan dust and sea spray.
When measured by the R2 statistic, the GAM method performed best for NO2 in Belgium, the Netherlands, NW Germany and the UK. Significantly poorer performance was found for Austria and areas in the south. For PM10 there were less clear geographical patterns in the GAM performance.
Based on a comparison between the meteorologically adjusted trends and plain linear regression, our results indicate that for the 1990-2000 period meteorology caused an increase in NO2 concentrations that counteracted the effect of reduced emissions. For the period 2000-2010 we find that meteorology lead to reduced NO2 levels in the northwest and a slight increase in the south.
The amount of observational data is much less for PM than for NO2. For the 1990-2000 period the number of sites with sufficient length of time series is too small to apply the GAM method on a European scale. For the 2000-2010 period, we find that the general performance of the GAM method is poorer for PM10 than for NO2. With respect to the link between PM10 and temperature, the results indicate a marked geographical pattern with a negative relationship in central Europe and a positive relationship in Spain, southern France and northern Italy.
For PM10 during 2000-2010, the vast majority of the estimated trends are found to be negative. The difference between the GAM trend and the plain linear regression, indicates that meteorology lead to increased PM10 levels in the southern and central parts and decreased levels in the north.
For PM2.5 it turned out that the amount of data in the entire period 1990-2010 was too small to use the GAM method in a meaningful way on a European scale. Only a few sites had sufficient time series and thus more recent data are required.
ETC/ACM
2019
Monitoring of long-range transported air pollutants in Norway. Annual report 2018.
This report presents results from the monitoring of atmospheric composition and deposition of air pollution in 2018, and focuses on main components in air and precipitation, particulate and gaseous phase of inorganic constituents, particulate carbonaceous matter, ground level ozone and particulate matter. 2018 was a special year with elevated ozone levels during the whole summer season due to prolonged heat and drought.
NILU
2019
This report presents the results of the European Union Action
on Black Carbon in the Arctic (EUA-BCA) initiative’s review of
observation capacities and data availability for black carbon in the Arctic region.
EUA-BCA/AMAP
2019
ClairCity aims to contribute to citizen-inclusive air quality and carbon policy making in middle-sized European cities. It does so by investigating citizens’ current behaviours, their preferred future behaviours and their preferred future policy measures in six European cities. The project also examines the possible future impacts of citizens’ policy preferences and implementation possibilities for these measures in the light of the existing institutional contexts in each city. With this aim, ClairCity has carried out in all six cities an extensive citizen, stakeholder and policy maker engagement process (Chapter 1). This report summarises the main policy results for the first of the six cities, Bristol (UK). The other ClairCity cities are Amsterdam (NL), Ljubljana (SL), Sosnowiec (PL), CIRA/ Aveiro (PT) and Liguria / Genoa (IT).
ClairCity Project
2019
Environmental pollutants in the terrestrial and urban environment 2018
Samples from the urban terrestrial environment in the Oslo area were analysed for various inorganic and organic
environmental pollutants. The selected species were earthworm, fieldfare, sparrowhawk, brown rat, red fox and
badger. Air and soil samples were also included in the study to further the understanding on sources and uptake of
pollutants. A foodchain approach was used to investigate trophic magnification of the different compounds.
NILU
2019
Screening program 2018. Volatiles, Gd, BADGE, UV filters, Additives, and Medicines.
This screening project has focused on the occurrence and environmental fate of chemicals with possible PBT-properties. Samples were from indoor environments, surface waters, municipal wastewater, and the receiving marine environment. Some of the detected chemicals need to be studied in more detail. One UV-filter compound shows a potential environmental risk.
NILU
2019