Found 9763 publications. Showing page 136 of 391:
2010
Norwegian Arctic Climate - Climate influencing emissions, scenarios and mitigation options at Svalbard. TA-2552/2009
2010
2021
2015
2022
NORTRIP. NOn-exhaust Road TRaffic Induced Particle emissions. Development of a model for assessing the effect on air quality and exposure. ITM-report, 212
2012
The NORTRIP model is the result of research efforts carried out by a number of Nordic institutes to improve our understanding and ability to model non-exhaust traffic emissions and has been developed through the Nordic Council of Ministers project NORTRIP (NOn-exhaust Road Traffic Induced Particle emissions). The NORTRIP model is a process based non-exhaust emission model that is intended for application without site specific empirical factors. It takes into account direct wear emissions, the build up of mass on the road surface, the suspension of this mass, as well as the application and suspension of salt and sand. It combines a road dust sub-model with a road moisture sub-model in order to properly describe the retention of dust on the road surface. The model can be applied for assessment purposes and for the management and evaluation of abatement strategies regarding road wear, salting and sanding. The model development and its documentation, along with its application to a large number of Nordic datasets, is described in detail in this report.
2012
NORTRIP emission model user guide. NILU TR
The NORTRIP emission model has been developed at NILU, in conjunction with other Nordic institutes, to model non-exhaust traffic induced emissions. This short summary document explains how to run the NORTRIP model from the MATLAB environment or by using the executable user interface version. It also provides brief information on input files and the model architecture.
2012
2007
2018
2000
NORPAC - a Nordic project on PM measurements and modelling - overview and first results. Report series in aerosol science, vol. 71A
2004
NORMAN guidance on suspect and non-target screening in environmental monitoring
Increasing production and use of chemicals and awareness of their impact on ecosystems and humans has led to large interest for broadening the knowledge on the chemical status of the environment and human health by suspect and non-target screening (NTS). To facilitate effective implementation of NTS in scientific, commercial and governmental laboratories, as well as acceptance by managers, regulators and risk assessors, more harmonisation in NTS is required. To address this, NORMAN Association members involved in NTS activities have prepared this guidance document, based on the current state of knowledge. The document is intended to provide guidance on performing high quality NTS studies and data interpretation while increasing awareness of the promise but also pitfalls and challenges associated with these techniques. Guidance is provided for all steps; from sampling and sample preparation to analysis by chromatography (liquid and gas—LC and GC) coupled via various ionisation techniques to high-resolution tandem mass spectrometry (HRMS/MS), through to data evaluation and reporting in the context of NTS. Although most experience within the NORMAN network still involves water analysis of polar compounds using LC–HRMS/MS, other matrices (sediment, soil, biota, dust, air) and instrumentation (GC, ion mobility) are covered, reflecting the rapid development and extension of the field. Due to the ongoing developments, the different questions addressed with NTS and manifold techniques in use, NORMAN members feel that no standard operation process can be provided at this stage. However, appropriate analytical methods, data processing techniques and databases commonly compiled in NTS workflows are introduced, their limitations are discussed and recommendations for different cases are provided. Proper quality assurance, quantification without reference standards and reporting results with clear confidence of identification assignment complete the guidance together with a glossary of definitions. The NORMAN community greatly supports the sharing of experiences and data via open science and hopes that this guideline supports this effort.
Springer
2023
2019
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NILU
2022