Found 9895 publications. Showing page 297 of 396:
På oppdrag fra Elkem Carbon AS, har NILU utført målinger av arsen (As) i omgivelsene til Elkem Carbon i Vågsbygd
(Kristiansand kommune). Bedriften ble pålagt av Miljødirektoratet å gjennomføre As-målinger i omgivelsesluft. PM10-prøver tatt med filterprøvetaker i boligområdet på Fiskåtangen (Konsul Wilds vei) ble analysert med hensyn på As med induktivt koblet plasma massespektrometri (ICP-MS). Rapporten dekker målinger i perioden 25. september 2019 – 28. september 2020. Årsmiddelverdien av konsentrasjonen av As ble målt til 2,38 ng/m3. Målsettingsverdien for tiltak i forurensningsforskriften på 6 ng/m3 ble overholdt med god margin. Årsmiddelverdien var marginalt lavere enn nedre vurderingsterskel på 2,4 ng/m3. Et langtransportert bidrag til de to høyeste registrerte As døgnkonsentrasjonene kan ikke utelukkes.
NILU
2020
2008
2016
Public awareness and efforts to improve air quality in Europe
Air pollution is the single largest environmental risk to the health of the Europeans and is receiving significant attention in the public space. It is comprehensively regulated in the EU, addressing air pollutants concentrations, as well as emissions from numerous sources. The legislation requires also for the authorities to inform the public.
In some cases, the authorities are struggling to implement measures to improve air quality and are met with barriers in the form of public opinion, for example, in cities. In other cases, citizens are taking action with the aim of pushing the authorities to improve air quality.
This report aims to reflect on what air quality information authorities provide and how the public perceives air quality and the information provided. It also looks on actions civil society takes towards improvements of air quality and the role of public awareness and understanding.
ETC/ATNI
2021
2017
Public Perception of Urban Air Quality Using Volunteered Geographic Information Services
Investigating perceived air quality (AQ) in urban areas is a rather new topic of interest. Papers presenting results from studies on perception of AQ have thus far focused on the individual characteristics leading to a certain AQ perception or have compared personal perception with on-site measurements. Here we present a novel approach, namely applying volunteered geographic information (VGI) technologies in urban AQ monitoring. We present two smartphone applications that have been developed and applied in two EU projects (FP7 CITI-SENSE and H2020 hackAIR) to obtain citizens’ perception of AQ. We focus on observations reported through the smartphone apps for the greater Oslo area in Norway. In order to evaluate whether the reports on perceived AQ contain information about the actual spatial patterns of AQ, we carried out a comparison of the perception data against the output from the high-resolution urban AQ model EPISODE. The results indicate an association between modelled annual average pollutant concentrations and the provided perception reports. This demonstrates that the spatial patterns of perceived AQ are not entirely random but follow to some extent what would be expected due to proximity of emission sources and transport. This information shows that VGI about citizens’ perception of AQ has the potential to identify areas with low environmental quality for urban development.
2020
2016
2017
2001
2001
1999
2008
Qatar air quality modelling workshop. Outcomes and recommendations. NILU OR
The Norwegian Institute for Air Research (NILU) held a 4 day workshop from 27-30 May 2013 at the Qatar Supreme Council of Health (SCH) entitled ¿Air Quality Modelling¿. The workshop was sponsored by an initiate from the Regional Office for the Eastern Mediterranean at the World Health Organization (WHO/EMRO). The objectives of the workshop were to provide the necessary training for experts in Qatar regarding the basic principles of modelling, various tools available, and applications for air quality modelling. This information will then give the responsible government officials a valuable introduction to understand how they can build up their own air quality modelling program and related competence.
2013