Browsing Publikasjoner fra Cristin - NILU by Title
Now showing items 689-708 of 1363
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Long-Term Temporal Trends of Polychlorinated Biphenyls and Their Controlling Sources in China
(Journal article; Peer reviewed, 2017)Polychlorinated biphenyls (PCBs) are industrial organic contaminants identified as persistent, bioaccumulative, toxic (PBT) and subject to long-range transport (LRT) with global scale significance. This study focuses on a ... -
Long-term trends in aerosol and precipitation composition over the western North Atlantic Ocean at Bermuda
(Journal article; Peer reviewed, 2014) -
Long-term trends of black carbon and sulphate aerosol in the Arctic: changes in atmospheric transport and source region emissions
(Journal article; Peer reviewed, 2010) -
Longpath DOAS observations of surface BrO at Summit, Greenland
(Journal article; Peer reviewed, 2011) -
Low concentrations of near-surface ozone in Siberia
(Peer reviewed; Journal article, 2012)Siberia with its large area covered with boreal forests, wetlands and tundra is believed to be an important sink for ozone via dry deposition and reactions with biogenic volatile organic compounds (BVOCs) emitted by the ... -
Low concentrations of persistent organic pollutants (POPs) in air at Cape Verde
(Journal article; Peer reviewed, 2018)Ambient air is a core medium for monitoring of persistent organic pollutants (POPs) under the Stockholm Convention and is used in studies of global transports of POPs and their atmospheric sources and source regions. Still, ... -
Low impact of dry conditions on the CO2 exchange of a Northern-Norwegian blanket bog.
(Journal article; Peer reviewed, 2015) -
Low-Cost Particulate Matter Sensors for Monitoring Residential Wood Burning
(Peer reviewed; Journal article, 2023)Conventional monitoring systems for air quality, such as reference stations, provide reliable pollution data in urban settings but only at relatively low spatial density. This study explores the potential of low-cost sensor ... -
Low-cost sensors and Machine Learning aid in identifying environmental factors affecting particulate matter emitted by household heating
(Peer reviewed; Journal article, 2023)Poland continues to rely heavily on coal and fossil fuels for household heating, despite efforts to reduce Particulate Matter (PM) levels. The availability of reliable air quality data is essential for policymakers, ... -
Low-cost sensors and networks. Overview of current status by the Norwegian Reference Laboratory for Air Quality.
(NILU report;15/2020, Research report, 2021)The increase of the commercial availability of low-cost sensor technology to monitor atmospheric composition is contributing to the rapid adoption of such technology by both public authorities and self-organized initiatives ... -
Low-Processing Data Enrichment and Calibration for PM2.5 Low-Cost Sensors
(Peer reviewed; Journal article, 2023)Particulate matter (PM) in air has been proven to be hazardous to human health. Here we focused on analysis of PM data we obtained from the same campaign which was presented in our previous study. Multivariate linear and ... -
LS-APC v1.0: A tuning-free method for the linear inverse problem and its application to source-Term determination
(Journal article; Peer reviewed, 2016)Estimation of pollutant releases into the atmosphere is an important problem in the environmental sciences. It is typically formalized as an inverse problem using a linear model that can explain observable quantities (e.g., ... -
Luftkvalitetsberegninger for Oslo Lufthavn
(NILU rapport;33/2016, Research report, 2016)Utslipps- og spredningsberegninger for Oslo Lufthavn i 2016 viser at de største NOX-utslippene kommer fra fly i «take-off»- modus og landingsmodus, men disse utslippene har liten innvirkning på konsentrasjonene i bakkenivå. ... -
Luftkvalitetsberegninger for Oslo. Faglig innspill til revidert tiltaksutredning for luftkvalitet i Oslo 2017-2020.
(NILU rapport; 29/2017, Research report, 2017)Etter pålegg fra Miljødirektoratet, skal Oslo kommune revidere Tiltaksutredning for luftkvalitet i Oslo og Bærum 2015-2020. I forbindelse med dette arbeidet har NILU fått i oppdrag av Oslo kommune ved Bymiljøetaten å foreta ... -
A Machine Learning Approach to Retrieving Aerosol Optical Depth Using Solar Radiation Measurements
(Peer reviewed; Journal article, 2024)Aerosol optical depth (AOD) constitutes a key parameter of aerosols, providing vital information for quantifying the aerosol burden and air quality at global and regional levels. This study demonstrates a machine learning ... -
Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines
(Peer reviewed; Journal article, 2022)Wind turbines are one of the primary sources of renewable energy, which leads to a sustainable and efficient energy solution. It does not release any carbon emissions to pollute our planet. The wind farms monitoring and ... -
Machine learning-based stocks and flows modeling of road infrastructure
(Peer reviewed; Journal article, 2022)This paper introduces a new method to account for the stocks and flows of road infrastructure at the national level based on material flow accounting (MFA). The proposed method closes some of the current shortcomings in ... -
Magnitude and Uncertainty of Nitrous Oxide Emissions From North America Based on Bottom-Up and Top-Down Approaches: Informing Future Research and National Inventories
(Peer reviewed; Journal article, 2021)We synthesized N2O emissions over North America using 17 bottom-up (BU) estimates from 1980–2016 and five top-down (TD) estimates from 1998 to 2016. The BU-based total emission shows a slight increase owing to U.S. ... -
Main sources controlling atmospheric burdens of persistent organic pollutants on a national scale
(Peer reviewed; Journal article, 2021)National long-term monitoring programs on persistent organic pollutants (POPs) in background air have traditionally relied on active air sampling techniques. Due to limited spatial coverage of active air samplers, questions ...