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Found 2162 publications. Showing page 24 of 217:

Publication  
Year  
Category

Measurements of non-methane hydrocarbons (NMHC) in Abu Dhabi. Final assessment report.

Solberg, Sverre; Hak, Claudia; Schmidbauer, Norbert; Gopinath, Vinod; Bartonova, Alena

NILU

2020

2020

Health Risk Assessment of Air Pollution in Europe. Methodology description and 2017 results

Soares, Joana; Horálek, Jan; Ortiz, Alberto González; Guerreiro, Cristina; Gsella, Artur

This report describes the methodology applied to assess health risks across Europe in 2016, published in the European Environmental Agency’s Air Quality in Europe – 2019 report. The methodology applied is based on the work by de Leeuw and Horálek (2016), with a few adjustments. To estimate the health risk related to air pollution, the number of premature deaths and years of life lost related to exposure to fine particulate matter, ozone and nitrogen dioxide exposure were calculated for 41 countries across Europe. The results show that the largest health risks are estimated for the countries with the largest populations. However, in relative terms, when considering e.g., years of life lost per 100 000 inhabitants, the largest relative risks are observed in central and eastern European countries, and the lowest are found for the northern and north-western parts of Europe. Additionally to the assessment, a sensitivity analysis was undertaken to comprehend how much the presumed baseline concentration levels, the concentration below which no health effects are expected, affect the estimations. In addition, a benefit analysis, assuming attainment of the PM2.5 WHO guidelines across Europe, shows a reduction over 30 % of the 2017 premature deaths and years of life lost numbers.

ETC/ATNI

2020

A study of the relative expanded uncertainty formula for comparing low-cost sensor and reference measurements

Walker, Sam-Erik; Schneider, Philipp

In this report, we investigate the relative expanded uncertainty (REU) formula for comparing low-cost sensors (microsensors) and reference measurements. The purpose of the REU formula is to check if microsensor measurements follow the data quality objective (DQO) of the European Air Quality Directive 2008/50/EC to be considered equivalent to a reference instrument. The project aimed to obtain a good understanding of the REU formula for its proper use in current and future projects involving microsensors.

NILU

2020

Måling av NO2 ved E16/E39 Arna – Vågsbotn – Klauvaneset med passive prøvetakere. Februar og mars 2020.

Hak, Claudia

The geographic distribution of NO2-concentrations in air in the area around E16 Arna – Vågsbotn (Bergen) was mapped by
NILU after request by Statens vegvesen. Measurements were carried out with passive air samplers at 10 sites in the area
Gaupås-Kalsås-Blinde. The project was carried out in winter (28. January – 24. March 2020) in an area which often is subject to inversion conditions in wintertime.
The winter 2019-2020 proved to be a mild winter, no inversion conditions were registered. The NO2-concentration was highest in the first week and decreased gradually every week. During the two last weeks, traffic was reduced as a consequence of pandemia measures. The average concentration at the most polluted site over the entire measurement period was 22.9 μg/m3. Comparison of results from the measurement area with observations from monitoring stations in Bergen showed that the NO2-level close to E16 was as high as at traffic stations in Bergen.

NILU

2020

Convention on long-range transboundary air pollution. UN/ECE international co-operative programme on effects on materials, including historic and cultural monuments. Environmental data report. October 2017 to November 2018.

Grøntoft, Terje; Roux, Marta Segura

Denne rapporten presenterer databasen i ICP Materialer for perioden oktober 2017 – november 2018. Den inkluderer
miljødata fra ICP Materialer trend-eksponeringsprogrammet for 2017 – 2018, og i tillegg data for temperatur, relativ
fuktighet og nedbørsmengde tilbake til slutten av forrige års-eksponering i oktober/november 2015. Databasen består av
meteorologiske data (T, RF og nedbørsmengde) og forurensningsdata, som gasskonsentrasjoner, mengde ioner i nedbør, partikkelkonsentrasjoner og mengde avsatte partikler.

NILU

2020

Forslag til norsk overvåkingsnettverk for å oppfylle NEC‐direktivets krav om å overvåke effekter av luftforurensing

Garmo, Øyvind Aaberg; Bakkestuen, Vegar; Solberg, Sverre; Timmermann, Volkmar; Simpson, David; Vollsnes, Ane Victoria; Aarrestad, Per Arild; Ranneklev, Sissel Brit

NIVA

2020

EEA-33 Industrial Emissions Country Profiles. Methodology report. Updated July 2020.

Weydahl, Torleif; Young, Katrina; Hampshire, Kathryn; Goodwin, Justin; Granger, Marthe; Zeiger, Bastian

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

Assessment of transboundary pollution by toxic substances: Heavy metals and POPs

Gusev, Alexey; Shatalov, Victor; Travnikov, Oleg; Batrakova, Nadezhda; Rozovskaya, Olga; Strijkina, Irina; Breivik, Knut; Bohlin-Nizzetto, Pernilla; Aas, Wenche; Mareckova, Katarina; Poupa, Stephan; Sosa, Carlos; Tista, Melanie; Wankmüller, Robert; Couvidat, Florian

Meteorological Synthesizing Centre ‐ East

2019

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