Found 9763 publications. Showing page 336 of 391:
Survey of emissions of volatile organic chemicals from handheld toys for children above 3 years
NILU
2020
2002
On behalf of the Norwegian Ferroalloy Producers Research Association (FFF) NILU has assessed possible airborne emissions of HCB, PCB, and PCDD/F from Norwegian silicon and ferrosilicon production.
The report concludes with that the Norwegian silicon and ferrosilicon melting process does most certainly not lead to a 'de novo' formation of organochlorines. The report summaries all performed emission measurements. It states that, even in worst case, the annual contribution from Norwegian silicon and ferrosilicon production does not exceed one percent of the total annual load. Thus the contribution is regarded as negligible.
2011
2015
2017
2017
2014
Svevestøvmåling i bydel Fana langs FV546. 23. desember 2016 - 31. desember 2017.
På oppdrag fra Statens vegvesen Region vest har NILU utført målinger av PM10 og PM2.5 ved et boligområde ved Fanavegen (Bergen kommune). Støvende aktivitet i forbindelse med anleggsarbeid genererer svevestøv til sjenanse for berørte naboer. Målingene pågikk i perioden 23. desember 2016 – 31. desember 2017. Resultatene ble rapportert hver måned. Årsmiddel-konsentrasjonene for PM10 og PM2.5 i 2017 var langt under respektive grenseverdier. I måleperioden ble det observert 3 døgn med PM10-døgnmiddelverdier over grenseverdien på 50 μg/m3. Det er tillatt med 30 døgnverdier over dette nivået. Årsaken til høy PM10-konsentrasjon var oppvirvling av svevestøv fra kjørebanen. Så lenge tiltak for å dempe støvoppvirvling ble iverksatt tidsnok, var svevestøvkonsentrasjonen innenfor varslingsklassen for liten eller ingen helserisiko.
NILU
2018
2021
2022
The main goal of this feasibility study was to evaluate the potential of adding value to the Sentinel 5P TROPOMI methane product over Norway and the Arctic through the synergistic use of relevant observations from other Sentinel satellites and machine learning. We assessed the data availability of ESA operational and research-based WFMD XCH4 products over the Northern hemisphere, the Nordic countries and the Arctic/Northern latitudes. ESA’s XCH4 data have poor coverage over Norway. Seeing the two datasets as complementary, seems to be the most reasonable approach for utilization them. Furthermore, we investigated potential synergies between satellite products from different platforms. A random forest (RF) machine learning algorithm was implemented. It shows the importance of daytime land surface temperature (LST) as predictor variable for CH4. Our results indicate that the RF-model has a very good capability of filling small gaps in the data.
NILU
2022
2022
2005
2001