Found 9972 publications. Showing page 254 of 399:
The National Mercury (Hg) Assessment in Norway evaluates the connections among: (a) national, regional and global Hg policies and regulations, (b) emissions, releases, uses and exposure pathways of Hg, and (c) concentrations of Hg in the environment, biota, and humans, measured during 2000-2020. Our findings suggest that the key changes of Hg in humans and the environment are highly dependent on the quality of the datasets, yet connections both to national and regional sources, as well as climate related drivers could be made for some data sets.
Norwegian Environment Agency
2022
2023
National report for Norway. WMO Global Ozone Research and Monitoring Project, report no. 48. WMO TD no. 1299
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Negative correlation between soil salinity and soil organic carbon variability
Soil organic carbon (SOC) is vital for terrestrial ecosystems, affecting biogeochemical processes, and soil health. It is known that soil salinity impacts SOC content, yet the specific direction and magnitude of SOC variability in relation to soil salinity remain poorly understood. Analyzing 43,459 mineral soil samples (SOC < 150 g kg−1) collected across different land covers since 1992, we approximate a soil salinity increase from 1 to 5 dS m−1 in croplands would be associated with a decline in mineral soils SOC from 0.14 g kg−1 above the mean predicted SOC (= 18.47 g kg−1) to 0.46 g kg−1 below (~−430%), while for noncroplands, such decline is sharper, from 0.96 above = 35.96 g kg−1 to 4.99 below (~−620%). Although salinity’s significance in explaining SOC variability is minor (<6%), we estimate a one SD increase in salinity of topsoil samples (0 to 7 cm) correlates with respective declines of ~4.4% and ~9.26%, relative to and. The decline in croplands is greatest in vegetation/cropland mosaics while lands covered with evergreen needle-leaved trees are estimated with the highest decline in noncroplands. We identify soil nitrogen, land cover, and precipitation Seasonality Index as the most significant parameters in explaining the SOC’s variability. The findings provide insights into SOC dynamics under increased soil salinity, improving understanding of SOC stock responses to land degradation and climate warming.
2024
2016
NILU og Urbanet Analyse har på oppdrag fra Miljødirektoratet utviklet modellen NERVE («Norwegian Emissions from Road
Vehicle Exhaust») for klimagassutslipp fra veitrafikken i norske kommuner. NERVE beregner klimagassutslipp fra
veitrafikken totalt innenfor hver kommune geografisk og for kommunens innbyggere, både som totalt utslipp og som en
utslippsfaktor (g/km). NERVE en en «bottom-up» modell som bygger på fire detaljerte datasett; 1) Veinettet ved alle
offentlige veier fra Nasjonal vegdatabank (NVDB), 2) trafikk på vei fra Regional Transport Model (RTM), 3)
kjørelengdestatistikken for norskregistrerte kjøretøy fra Statistisk Sentralbyrå Norge (SSB) og 4) utslippsfaktorer fra HBEFA(Hand Book of Emission FActors for Road Transport.
NILU
2018
NILU og Transportøkonomisk institutt (TØI) har på oppdrag fra Miljødirektoratet videreutviklet modellen NERVE («Norwegian Emissions from Road Vehicle Exhaust») for beregning av klimagassutslipp fra veitrafikken i norske kommuner. NERVE-modellen anvender de mest detaljerte datasettene for bilpark, utslippsfaktorer, trafikk og veier for spesifikke lokale forhold. Datasettene er kombinert i en datastruktur som gjør at resultat kan aggregeres på et lite eller et stort geografisk område. NERVE kan således betegnes som en «bottom-up»-utslippsmodell, fordi den er bygget opp «nedenfra» fra detaljerte datakilder. Denne rapporten presenterer metodikken og antagelsene bak beregningene med NERVE, og sammenligner resultat aggregert på nasjonalt nivå med annen tilgjengelig nasjonal statistikk.
NILU
2024