Found 9886 publications. Showing page 127 of 396:
Rapporten viser overskridelser av tålegrenser for forsuring av vann og jord, samt overgjødslingseffekter på vegetasjon, med
avsetningsverdier for perioden 2012–2016. Det er kun en liten reduksjon i areal med overskridelse siden forrige periode: For
vann, ved bruk av SSWCoaa-modellen er 7% av Norges areal overskredet (8% i forrige periode). Bruk av FABoaa-modellen, som
forutsetter et mye større forsuringsbidrag fra nitrogen, gir en overskridelse på 19% av Norges areal (20% i forrige periode).
Overskredet areal for overgjødslingseffekter på vegetasjon er 20% (21% i forrige periode). Tålegrensene for forsuring av
skogsjord er ikke overskredet. Noen oppdateringer av tålegrensene har blitt gjort, primært for overgjødsling av vegetasjon. Det
er også benyttet en ny metode for beregning av avsetninger. Ingen av endringene gav store forskjeller i totalt overskredet areal,
men noen forskjeller i hvor man finner overskridelser og størrelsen på overskridelsene.
Norsk institutt for vannforskning
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Oslo Citizens' Observatory. Results from the Oslo Empowerment Initiative as part of the CITI-SENSE project. NILU report
The CITI-SENSE project has been created to develop Citizens' Observatories in different cities in Europe. By using a variety of low-cost sensors, citizens should be empowered to influence community policy and decision making in the area of air quality. In the framework of this project, we carried out different case studies (Empowerment Initiatives - EIs) in the fields of Urban Air Quality, Public Spaces and School Indoor Air Quality in the following nine cities: Barcelona (Spain), Belgrade (Serbia), Edinburgh (UK), Haifa (Israel), Oslo (Norway), Ostrava (Czech Republic), Ljubljana (Slovenia), Vienna (Austria) and Vitoria-Gasteiz (Spain).
This document reports the results from the activities within the Oslo Citizens' Observatory, carried out between December 2015 and September 2016. In this report, we present tools that have been used, results from collected data and measurements and the users¿ evaluation of the tools and the project activities in Oslo. We wrap up with some concluding remarks and the lessons learned for engaging the public in environmental monitoring.
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Short-lived climate forcers have been proven important both for the climate and human health. In particular, black carbon (BC) is an important climate forcer both as an aerosol and when deposited on snow and ice surface because of its strong light absorption. This paper presents measurements of elemental carbon (EC; a measurement-based definition of BC) in snow collected from western Siberia and northwestern European Russia during 2014, 2015 and 2016. The Russian Arctic is of great interest to the scientific community due to the large uncertainty of emission sources there. We have determined the major contributing sources of BC in snow in western Siberia and northwestern European Russia using a Lagrangian atmospheric transport model. For the first time, we use a recently developed feature that calculates deposition in backward (so-called retroplume) simulations allowing estimation of the specific locations of sources that contribute to the deposited mass.
EC concentrations in snow from western Siberia and northwestern European Russia were highly variable depending on the sampling location. Modelled BC and measured EC were moderately correlated (R = 0.53–0.83) and a systematic region-specific model underestimation was found. The model underestimated observations by 42 % (RMSE = 49 ng g−1) in 2014, 48 % (RMSE = 37 ng g−1) in 2015 and 27 % (RMSE = 43 ng g−1) in 2016. For EC sampled in northwestern European Russia the underestimation by the model was smaller (fractional bias, FB > −100 %). In this region, the major sources were transportation activities and domestic combustion in Finland. When sampling shifted to western Siberia, the model underestimation was more significant (FB < −100 %). There, the sources included emissions from gas flaring as a major contributor to snow BC. The accuracy of the model calculations was also evaluated using two independent datasets of BC measurements in snow covering the entire Arctic. The model underestimated BC concentrations in snow especially for samples collected in springtime.
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