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Revidert tiltaksutredning for lokal luftkvalitet i Stavanger
Tiltaksutredningen for lokal luftkvalitet i Stavanger, med handlingsplan og tiltak, skal bidra til at forurensningsnivået holder seg innenfor kravene i forurensningsforskriften. I tillegg belyser denne utredningen tiltak som vil være med på å redusere nivåene sammenlignet med helsemyndighetenes anbefaling til luftkvalitet. Tiltaksutredningen omfatter en kartlegging av luftkvaliteten i Stavanger ved trafikkberegninger og utslipps- og spredningsberegninger for PM10, PM2,5 og NO2 for Dagens situasjon 2018 og Framtidig situasjon 2024 med og uten tiltak. Basert på resultatene fra beregningene og i samarbeid med oppdragsgiver, er det foreslått en revidert handlings- og beredskapsplan som skal behandles politisk.
NILU
2020
The main goal for the “Towards better exploitation of Satellite data for monitoring Air Quality in Norway using
downscaling techniques” (Sat4AQN) project was to evaluate the potential of spatially downscaling satellite data using a
high-resolution Chemical Transport Model (CTM) to spatial scales that are more relevant for monitoring air quality in
urban areas and regional background sites in Norway. For this demonstration project, we focused on satellite aerosol
optical density (AOD) and particulate matter (PM) estimates.
NILU
2020
2020
2020
VANDAM Final Report. June 2020.
The current document summaries the work carried out in the PRODEX project NILU VANDAM: PEA: 4000118977.
NILU
2020
Air quality in Europe - 2020 report
The Air quality in Europe report provides an annual assessment of the status and impacts of air quality and recent air quality trends. The report supports policy development and implementation in the field of air quality at both European and national levels.
European Environment Agency
2020
MetVed v.2.0. Improvement and update of the MetVed emission model for residential wood combustion
This report presents the update of the MetVed-model (Grythe et al., 2019). Among the updates are new emission factors and several new species that include climate gases (CO2, CH4 and N2O). There is now a new parameter that describes the emission altitude and a new and improved time variation. Activity data has been updated to the most recent year (2019), which also has required updates to the model and model input variables. The largest update has been the holiday cabin emission module, which is an entirely new addition. Emissions from cabins differ in several ways from residential emissions. The most notable difference is that cabins are spread over more rural areas and are more dispersed than the residential dwellings. The model differentiates alpine and coastal cabins, which is an important distinction as a high density of cabins exists along the coast and they are mainly used during summer.
NILU
2020
Monitoring of greenhouse gases and aerosols at Svalbard and Birkenes in 2019. Annual report.
The report summarizes the activities and results of the greenhouse gas monitoring at the Zeppelin Observatory, situated on Svalbard in Arctic Norway, during the period 2001-2019, and the greenhouse gas monitoring and aerosol observations from Birkenes for 2009-2019.
NILU
2020
Målinger av SO2 i omgivelsene til Elkem Carbon og REC Solar. September 2019 – august 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. september 2019 – 31. august 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
2020
Environmental Contaminants in an Urban Fjord, 2019
This programme, “Environmental Contaminants in an Urban Fjord” has covered sampling and analyses of sediment and organisms in a marine food web of the Inner Oslofjord, in addition to samples of blood and eggs from herring gull. The programme also included inputs of pollutants via surface water (storm water), and effluent water and sludge from a sewage treatment plant. The bioaccumulation potential of the contaminants in the Oslo fjord food web was evaluated. The exposure to/accumulation of the contaminants was also assessed in birds. A vast number of chemical parameters have been quantified, in addition to some biological effect parameters in cod, and the report serves as a status description of the concentrations of these chemicals in different compartments of the Inner Oslofjord marine ecosystem.
Norsk institutt for vannforskning (NIVA)
2020
Skogens helsetilstand i Norge. Resultater fra skogskadeovervåkingen i 2019
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 2019 og trender over tid.....
NIBIO
2020
We present an observing simulated system experiment (OSSE) dedicated to evaluate the potential added value from the Sentinel-4 and the Sentinel-5P observations on tropospheric ozone composition. For this purpose, the ozone data of Sentinel-4 (Ultraviolet Visible Near-infrared) and Sentinel-5P (TROPOspheric Monitoring Instrument) on board a geostationary (GEO) and a low-Earth-orbit (LEO) platform, respectively, have been simulated using the DISAMAR inversion package for the summer 2003. To ensure the robustness of the results, the OSSE has been configured with conservative assumptions. We simulate the reality by combining two chemistry transport models (CTMs): the LOng Term Ozone Simulation - EURopean Operational Smog (LOTOS-EUROS) and the Transport Model version 5 (TM5). The assimilation system is based on a different CTM, the MOdele de Chimie Atmospherique a Grande Echelle (MOCAGE), combined with the 3-D variational technique. The background error covariance matrix does not evolve in time and its variance is proportional to the field values. The simulated data are formed of six eigenvectors to minimize the size of the dataset by removing the noise-dominated part of the observations. The results show that the satellite data clearly bring direct added value around 200 hPa for the whole assimilation period and for the whole European domain, while a likely indirect added value is identified but not for the whole period and domain at 500 hPa, and to a lower extent at 700 hPa. In addition, the ozone added value from Sentinel-5P (LEO) appears close to that from Sentinel-4 (GEO) in the free troposphere (200-500 hPa) in our OSSE. The outcome of our study is a result of the OSSE design and the choice within each of the components of the system.
2020
Recent years have seen the increasing inclusion of per-retrieval prognostic (predictive) uncertainty estimates within satellite aerosol optical depth (AOD) data sets, providing users with quantitative tools to assist in optimal use of these data. Prognostic estimates contrast with diagnostic (i.e. relative to some external truth) ones, which are typically obtained using sensitivity and/or validation analyses. Up to now, however, the quality of these uncertainty estimates has not been routinely assessed. This study presents a review of existing prognostic and diagnostic approaches for quantifying uncertainty in satellite AOD retrievals, and presents a general framework to evaluate them, based on the expected statistical properties of ensembles of estimated uncertainties and actual retrieval errors. It is hoped that this framework will be adopted as a complement to existing AOD validation exercises; it is not restricted to AOD and can in principle be applied to other quantities for which a reference validation data set is available. This framework is then applied to assess the uncertainties provided by several satellite data sets (seven over land, five over water), which draw on methods from the empirical to sensitivity analyses to formal error propagation, at 12 Aerosol Robotic Network (AERONET) sites. The AERONET sites are divided into those where it is expected that the techniques will perform well, and those for which some complexity about the site may provide a more severe test. Overall all techniques show some skill in that larger estimated uncertainties are generally associated with larger observed errors, although they are sometimes poorly calibrated (i.e. too small/large in magnitude). No technique uniformly performs best. For powerful formal uncertainty propagation approaches such as Optimal Estimation the results illustrate some of the difficulties in appropriate population of the covariance matrices required by the technique. When the data sets are confronted by a situation strongly counter to the retrieval forward model (e.g. potential mixed land/water surfaces, or aerosol optical properties outside of the family of assumptions), some algorithms fail to provide a retrieval, while others do but with a quantitatively unreliable uncertainty estimate. The discussion suggests paths forward for refinement of these techniques.
2020
It is unclear whether the Eurasian snow plays a role in the tropospheric driving of sudden stratospheric warming (SSW). The major SSW event of February 2018 is analyzed using reanalysis datasets. Characterized by predominant planetary waves of zonal wave 2, the SSW developed into a vortex split via wave–mean flow interaction. In the following two weeks, the downward migration of zonal-mean zonal wind anomalies was accompanied by a significant transition to the negative phase of the North Atlantic Oscillation, leading to extensive cold extremes across Europe. Here, we demonstrate that anomalous Siberian snow accumulation could have played an important role in the 2018 SSW occurrence. In the 2017/18 winter, snow depths over Siberia were much higher than normal. A lead–lag correlation analysis shows that the positive fluctuating snow depth anomalies, leading to intensified “cold domes” over eastern Siberia (i.e., in a region where the climatological upward planetary waves maximize), precede enhanced wave-2 pulses of meridional heat fluxes (100 hPa) by 7–8 days. The snow–SSW linkage over 2003–19 is further investigated, and some common traits among three split events are found. These include a time lag of about one week between the maximum anomalies of snow depth and wave-2 pulses (100 hPa), high sea level pressure favored by anomalous snowpack, and a ridge anchoring over Siberia as precursor of the splits. The role of tropospheric ridges over Alaska and the Urals in the wave-2 enhancement and the role of Arctic sea ice loss in Siberian snow accumulation are also discussed.
2020
Combining information from several channels of the Norwegian Institute for Air Research (NILU-UV) irradiance meter, one may determine the total ozone column (TOC) amount. A NILU-UV instrument has been deployed and operated on two locations at Troll research station in Jutulsessen, Queen Maud Land, Antarctica, for several years. The method used to determine the TOC amount is presented, and the derived TOC values are compared with those obtained from the Ozone Monitoring Instrument (OMI) located on NASA’s AURA satellite. The findings show that the NILU-UV TOC amounts correlate well with the results of the OMI and that the NILU-UV instruments are suitable for monitoring the long-term change and development of the ozone hole. Because of the large footprint of OMI, NILU-UV is a more suitable instrument for local measurements.
2020
Technical and environmental viability of a European CO2 EOR system
Captured CO2 from large industrial emitters may be used for enhanced oil recovery (EOR), but as of yet there are no European large-scale EOR systems. Recent implementation decisions for a Norwegian carbon capture and storage demonstration will result in the establishment of a central CO2 hub on the west-coast of Norway and storage on the Norwegian Continental Shelf. This development may continue towards a large-scale operation involving European CO2 and CO2 EOR operation. To this end, a conceptual EOR system was developed here based on an oxyfuel power plant located in Poland that acted as a source for CO2, coupled to a promising oil field located on the Norwegian Continental Shelf. Lifecycle assessment was subsequently used to estimate environmental emissions indicators. When averaged over the operational lifetime, results show greenhouse gas (GHG) emissions of 0.4 kg CO2-eq per kg oil (and n kWh associated electricity) produced, of which 64 % derived from the oxyfuel power plant. This represents a 71 % emission reduction when compared to the same amount of oil and electricity production using conventional technology. Other environmental impact indicators were increased, showing that this type of CO2 EOR system may help reach GHG reduction targets, but care should be taken to avoid problem shifting.
2020
EEA-33 Industrial Emissions Country Profiles. Methodology report. Updated July 2020.
The industrial emissions country profiles summarise key data related to industry: its relevance with respect to economic contributions, energy and water consumption, as well as air and water emissions and waste generation. The country profiles are developed for the EEA-33 countries which includes the 28 EU Member States together with Iceland, Lichtenstein, Norway, Switzerland and Turkey.
The present revision (v. 3.0) of this report includes data available at date of release. This year, a new reporting, the so-called EU-Registry and thematic data reporting, is introduced in order to gather the former E-PRTR, LCP and IED reportings and finally replace them. The 2018 data are not yet readily available. Nevertheless, more quality checks have been performed on the latest E-PRTR database in order to have the cleanest final E-PRTR dataset possible. Hence, the industrial emissions country profiles are enriched with the most up-to-date data sources while still only covering the years up to 2017.
This report describes the underlying methodology to the industrial emissions country profiles that are presented as a Tableau story on the EEA webpages ([1]).
The scope of industry in this respect includes in short all industrial activities reported under the European Pollutant Release and Transfer Register (E-PRTR) excluding agriculture (activity code 7.(a) and 7.(b)). The data sources include Eurostat, the E-PRTR, greenhouse gas (GHG) emissions reported under the Monitoring Mechanism Regulation (MMR) and air pollutant emission inventories reported under the Convention on Long-range Transboundary Air Pollution (CLRTAP), each of which have their own data categories. A recently developed EEA-mapping which align these different categories is used ([2]). The data sources and industry scope is presented in full detail in the Annexes following this report.
The water and air pollutants including greenhouse gases are selected based on criteria related to their relative impact. Emissions of heavy metals to air and water have been combined by weighted averages using both eco toxicology and human toxicology characterisation factors ([3]). The amounts of hazardous and non-hazardous waste reported under Eurostat is presented, but excluding the major mineral waste that dominates the mining and construction sectors.
The data quality is evaluated and gap filling of Eurostat data is performed when needed. A method for E-PRTR outlier handling is proposed and applied where appropriate.
The significance of industry, given by gross value added (GVA), energy consumption and water use, as well as generation of waste are presented in the Tableau story as a sector percentage of EEA-33 gross total as well as percentage of country total. The trend in air and water pollution is presented as totals per pollutants relative to the latest year (2017). For the latest year the emissions are also given as percentage per sector relative to country total. The details on how the presented data is processed and aggregated is described in Annex 2.
The report is to a large extent based on previous methodology reports for “Industrial pollution country profiles”, but is also further developed to reflect feedback received through Eionet review and general requests from EEA and the European Commission.
ETC/ATNI
2020
2020
2020
Crumb rubber toxicity in coastal marine systems
Crumb rubber granulate (CRG) produced from end of life tires (ELTs) is commonly applied on indoor and outdoor synthetic turf pitches (STPs), playgrounds, safety surfaces and walkways. In addition to fillers, stabilizers, cross-linking agents and secondary components (e.g. pigments, oils, resins, fibers), ELTs contain high levels of organic additive compounds and heavy metals. While previous environmental studies have focused on terrestrial soil and freshwater ecosystems, in Norway many sites applying CRG are coastal. In the current study, the organic chemical and metal content of 'fresh' and 'weathered' CRG and their seawater leachates was investigated, and the uptake of crumb rubber by the brown crab (Cancer pagurus) was studied as an example of an exposure route for CRG to coastal marine organisms. A combination of pyrolysis gas chromatography mass spectrometry (py-GC-MS) and chemical extraction followed by GC-MS analysis revealed similar organic chemical profiles for pristine and weathered CRG, including additives such as benzothiazole, N-1,3-dimethylbutyl-N'-phenyl-p-phenylenediamine and a range of polycyclic aromatic hydrocarbons (PAHs) and phenolic compounds (e.g. bisphenols). ICP-MS analysis indicated g/kg quantities of Zn and mg/kg quantities of Fe, Mn, Cu, Co, Cr, Pb and Ni in the CRG. A mixture of organic additives, metals and other inorganic compounds readily leached from the CRG into seawater. Benzothiazole was the organic compound with highest concentration (average of 136 mg/L), while PAHs (ranging from <LOD to 0.58 mg/L) and phenolic compounds (e.g. 2,4-bisphenol F and 4,4’-bisphenol F at 0.012 and 0.006 mg/L, respectively) were present in low abundance. Zn was the most abundant metal in the leachates (23.8 mg/L) followed by Fe (0.08 mg/L) and Co (0.06 mg/L). While organic chemical concentrations in the leachates stabilized within days, metals continued to leach out over the 30 day period. Brown crabs were exposed to two concentrations of CRG (0.5 and 0.05 g/L) in two size fractions (5 mm and 250 µm diameter) for 24 hours. Ingestion of the rubber and subsequent gut evacuation were studied over 5 days. Image analysis of filtered stomach contents confirmed uptake of rubber particles in different sizes, but also efficient gut evacuation upon transfer to clean water. We discuss the implications of CRG and leachate toxicity in acute and long-term exposure scenarios for marine coastal ecosystems.
2020
2020