Publikasjoner

Air Quality Models and Management Software. Technical description. Front End Engineering & Design (FEED) Services for Air Monitoring System Project. NILU OR

Bøhler, T.

Air quality mitigation in European cities: Status and challenges ahead

Viana, Mar; Leeuw, Frank de; Bartonova, Alena; Castell, Nuria; Öztürk, Evrim Dogan; Ortiz, Alberto González

Cities are currently at the core of air quality (AQ) improvement. The present work provides an overview of AQ management strategies and outcomes in 10 European cities (Antwerp, Berlin, Dublin, Madrid, Malmö, Milan, Paris, Plovdiv, Prague, Vienna) in 2018, and their evolution since 2013 (same cities, plus Ploiesti and Vilnius), based on first-hand input from AQ managers. The status of AQ mitigation in 2018, and its evolution since 2013, were assessed. While results evidenced that the majority of mitigation strategies targeted road traffic, emerging sources such as inland shipping, construction/demolition and recreational wood burning were identified. Several cities had in 2018 the ambition to continue decreasing air pollution concentrations to meet WHO guidelines, an ambition which had not yet been identified in 2013. Specific needs identified by all of the cities assessed were tools to quantify the effectiveness of mitigation strategies and for cost-benefit analysis, as well as specific and up to date technical guidance on real-world road vehicle emissions. The cities also requested guidance to identify mitigation measures promoting co-benefits, e.g., in terms of AQ, climate change, and noise. Support from administrations at local-regional-national-EU scales, and especially involving local policy-makers early on in the air quality management process, was considered essential. This work provides insight into the drivers of successful/unsuccessful AQ policies as well as on the challenges faced during their implementation. We identify knowledge gaps and provide input to the research and policy-making communities as to specific needs of cities.

Air quality measurements in the Sukiennice. Measurements in the Sukiennice, "Cloth Hall", in Krakow, Poland, after renovation, spring 2010. NILU OR

Grøntoft, T.; Lopez-Aparicio, S.; Schmidbauer, N.; Andresen, E.; Hammerseth, G.

Air quality measurements in Rio Grande, Tierra del Fuego, Argentina. 1st and 2nd campaign. NILU OR

Lunder, C.

Air quality measurements for preservation of photographic material.

Grøntoft, T.

Air quality maps of NO2 and PM10 for the region including Stavanger, Sandnes, Randaberg and Sola (Nord-Jæren). Documentation of methodology. NILU TR

Denby, B.R.; Sundvor, I.; Schneider, P.; Vo, D.T.

Denne rapporten dokumenterer metodikken som har blitt brukt for å lage luftkvalitetskart av NO2 og PM10 for området Nord-Jæren, som innbefatter kommunene Stavanger, Sandnes, Randaberg og Sola. Denne rapport støtter oppsummeringsrapporten NILU OR 57/2013.

Air quality maps of EEA member and cooperating countries for 2022. PM10, PM2.5, O3, NO2, NOx and BaP spatial estimates and their uncertainties

Horálek, Jan; Schreiberova, Marketa; Benesova, Nina; Schneider, Philipp; Kurfürst, Pavel; Tognet, Frédéric; Vlcek, Ondrej; Schovánková, Jana; Vivanco, Marta García; Theobald, Marc; Gil, Victoria

The report provides the annual update of the European air quality concentration maps and population and vegetation 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, peak season average of maximum daily 8-hour means, SOMO35, SOMO10), NO2 (annual average) and benzo(a)pyrene (annual average), and vegetation related ozone indicators (AOT40 for vegetation and for forests) for the year 2022. The report contains also maps of Phytotoxic ozone dose (PODY) for selected crops (wheat, potato and tomato) and trees (spruce and beech) and NOx annual average map for the same year 2022. The ozone map of peak season average of maximum daily 8-hour means is presented for the first time. The trends in exposure estimates in the period 2005–2022 are summarized. The analysis for 2022 is based on the interpolation of the annual statistics of the 2022 observational data reported by the EEA member and cooperating countries and other voluntary reporting countries and stored in the Air Quality e-reporting database, complemented, when needed, with measurements from additional sources. The mapping method is the Regression – Interpolation – Merging Mapping (RIMM). 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. It also presents concentration change in 2022 in comparison to the five-year average 2017-2021 using the difference maps and exposure estimates.

ETC/HE

Air quality mapping of NO2 with the use of passive samplers. NILU OR

Denby, B.; Sundvor, I.

Air Quality Management. NILU F

Sivertsen, B.

Air Quality Management System for ADCO. Technical Description. Front End Engineering & Design (FEED) Services for Air Monitoring System Project. NILU OR

Bøhler, T.; Guerreiro, C.

Air quality management structure for Dakar. NILU OR

Sivertsen, B.; Legendre, B.; Guerreiro, C.

Air Quality Management Project, Dhaka, Bangladesh, 2006. Final report. NILU OR

Sivertsen, B.; Larssen, S.; Laupsa, H.; Marsteen, L.

Air Quality Management Project, Dhaka, Bangladesh, 2006. Final report, Mission 1. 16 - 27 January 2006. NILU OR

Sivertsen, B,, Laupsa , H.