Found 10481 publications. Showing page 146 of 420:
Rapporten gir en oversikt over Norges luftkvalitetsmålenettverk. Alle målestasjoner som rapporterer måledata til EEA/ESA er beskrevet og plasseringen er vurdert i forhold til krav i EUs direktiver.
Omgivelsene til stasjonene er beskrevet og viktige kilder til utslipp er identifisert. Plasseringen av målestasjonene er dokumentert med kart og flybilde og retningsvisende fotografier av området.
Avvik fra plasseringskriteriene er dokumentert. Anbefalinger for justeringer er gitt for enkelte stasjoner.
NILU
2022
NORDUST : Nordic Road Dust Project
Road dust is an important contributor to airborne particle pollution, especially in the Nordic countries where high road surface wear, due to studded tyre use as well as winter maintenance and operations including sanding and salting are important contributors. Even though the road dust problems are similar, the countries have tackled different parts of the problem with different research approaches, resulting in a complex knowledgebase in need of compilation. A former project, NORTRIP, started this work and implemented the knowledge into an emission model with a specially elaborated road dust focus. The model work has been used to identify knowledge gaps, intended to be filled within the NorDust project.Laboratory tests and controlled and uncontrolled field measurements as well as parametrisation and modelling have been used as tools to find, describe and implement issues concerning road dust formation, suspension and dynamics and road operation effects on emissions in facilities and sites in finland and Sweden. The NORTRIP model has been implemented and evaluated in Iceland, not previously involved in the model development, to identify input data needs.The project has resulted in an array of findings, of which some have been possible to implement in new parametrisations in the NORTRIP model. In the complex research area of road dust dynamics, the project has also resulted in a lot of practical experiences concerning experimental and measurement designs and evaluation possibilities that future research will be able to benefit from.
NordFoU
2019
2024
2014
Nordic nitrogen and agriculture: Policy, measures and recommendations to reduce environmental impact. TemaNord, 2017:547
2017
2023
Nonlinear Atmospheric Inversion with Interpretable Bias Correction via Gaussian Process Prior
Accurate quantification of atmospheric pollutant emissions is essential for evaluating the consequences of environmental incidents. Inverse modelling of such releases commonly employs a linear framework based on a source–receptor sensitivity (SRS) matrix; however, this matrix can be substantially biased or may even fail to represent the true scale of the release. We introduce a method in which the SRS matrix is corrected jointly with the inversion, resulting in a nonlinear inverse problem. The SRS discrepancies are interpreted as small shifts of observation points, leading to a deformation of the sensitivity field. The shifts are regularized through a Gaussian process prior, which imposes smoothness and sparsity while allowing inference at unobserved locations. The resulting posterior predictions of the shift field offer a practical tool for hyperparameter selection: the inferred shifts can be visualized geographically and evaluated by domain experts. This leads to a Bayesian framework that integrates inversion, SRS correction, and a tuning strategy based on L-curve-type diagnostics combined with maps of the predicted shifts. It will be demonstrated on a selected real continental-scale scenario of an atmospheric release. This research has been supported by the Czech Science Foundation (grant no. GA24-10400S). FLEXPART model simulations are cross-atmospheric research infrastructure services provided by ATMO-ACCESS (EU grant agreement No 101008004). Nikolaos Evangeliou was funded by the same EU grant. The computations were performed on resources provided by Sigma2 - the National Infrastructure for High Performance Computing and Data Storage in Norway.
2026
2015
2019
2013
2023
2025