Publikasjoner
NIBIOs ansatte publiserer flere hundre vitenskapelige artikler og forskningsrapporter hvert år. Her finner du referanser og lenker til publikasjoner og andre forsknings- og formidlingsaktiviteter. Samlingen oppdateres løpende med både nytt og historisk materiale. For mer informasjon om NIBIOs publikasjoner, besøk NIBIOs bibliotek.
2024
Sammendrag
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Sammendrag
Det er ikke registrert sammendrag
2023
Forfattere
Manh-Tien BuiSammendrag
Norway, almost 70,000 tons of civilian explosives will be used, and the explosives used contain approximately 70% ammonium nitrate. From this, a nitrogen loss to water bodies has been calculated to be around 3,000 tons. Increased concentrations of nitrate can therefore be expected. This assignment consists of the evaluation of a biofilter in the Nordlandalen, which is the first in Norway. The biofilter will convert into atmospheric nitrogen. The data used in the assignment comes from the MPS-D8 multiparameter measuring equipment from SEBA, where the loggers come from UnilogCom. The measuring equipment in Nordlandsdalen stands and measures samples continuously and is uploaded to SEBA's pages. It is further supported with weekly samples from Eurofins which are taken every Friday. Physical factors such as water temperature, redox, pH and conductivity are compared to the filter's ability to clean nitrate. Also, different fractions of Tot-N are compared with the degree of purification. The degree of cleanliness of the filter remained relatively good throughout the tunnel test with relatively high values of nitrate in it. Despite periods of severe drought, the degree of purification remained quite high throughout the year but will be expected to change in the event of heavy rainfall and above theoretical operating values. The biggest contributions to the degree of purification in the filter came from water temperature, redox, pH and nitrate. After the summer period, there were major flooding episodes at Nordlandsdalen and caused the level of cleaning to drop. This may be due to physical damage to the filter during the flood period, but this needs to be investigated further. During the flood periods, several of the automatic meters were overwhelmed, as more nitrate came in than the sensors could handle, and there were sensor failures at the start of the year. High concentrations of DOC will lead to increased sensor data errors. Data from the automatic measurements were taken from April-September, in order to disregard corrupt data. With less data, the data resolution will be better, which can tell about the function of the filter. The samples from Eurofins will help to support data from the period April-September, as well as the rest of the year. Where the degree of purification is low, it seems to be able to help with the dosing of methanol. In 2023, the dosage of methanol in the biofilter led to a double increase in the degree of purification. Methanol dosing will also be seen as a possible solution to be able to increase the degree of purification during colder periods. The degree of purification of the filter will be largely dependent on various parameters, such as water temperature, redox, pH and conductivity in order to clean with the highest possible degree of purification. The filter will not only be affected by these parameters, and other factors should not be excluded. Longer operation and thorough monitoring will lead to a clearer picture of the computing capacity of the filter at Nordlandsdalen.
Forfattere
Cornelya KlutschSammendrag
Det er ikke registrert sammendrag
Forfattere
Cornelya KlutschSammendrag
Det er ikke registrert sammendrag
Sammendrag
I hundrevis av år har havis fraktet med seg drivtømmer fra de store russiske skogene og presset dette i land på Finnmarkskysten. Forskere analysere nå stokkene for å finne ut hva de kan fortelle om klimaendringer.
Forfattere
Christoph Schürz Svajunas Plunge Michael Strauch Natalja Cerkasova Brigitta Szabó Csilla Farkas Attila Nemes Mikołaj PiniewskiSammendrag
SWAT+ is a data intensive eco-hydrological model. The SWAT+ model setup procedure requires comprehensive data on topography, soils, vegetation cover, land management, or the hydrological connectivity in the landscape. Although SWAT+ allows a detailed representation of the landscape and its management, input data handling and processing can be challenging and computationally intensive. Eventually, the input files of a detailed model setup can easily comprise hundreds of thousands of lines which limits model verification and calibration. Script programming languages such as R and python are popular for data processing and analysis in many scientific disciplines. For SWAT2012 and SWAT+ several R packages and tools, such as SWATplusR and SWATfarmR have been developed over the last years which proved to be useful tools in SWAT modeling workflows. Yet, they have not been connected into consecutive workflows, which would add benefits of automation, transparency, reproducibility and flexibility. The EU funded H2020 project OPTAIN aims to create harmonized workflows for various stages of the SWAT+ model development. To achieve this, the project team improved and expanded upon existing SWAT model related R packages, and also created new R packages and scripted workflows. The developed workflows cover a wide range of modeling tasks from preparing and generating SWAT+ model input data, to setting up the model, model parametrization, creating land management schedules, verifying the model, and calibrating it. Although some of the workflows are specifically tailored to the needs of the project’s modeling case studies, most of the developed functions and workflows are generalized and can be implemented in other SWAT+ model applications. This presentation will give an overview of the available R packages and R workflows which were developed and extended within the OPTAIN framework, such as deriving soil properties , preparing weather data and the weather generator inputs with scripted workflows and the R package SWATprepR, the development of field scale connected SWAT+ model setups with SWATbuildR, scripted workflows to generate farm management crop rotation inputs employing the SWATfarmR package, or comprehensive model verification using the SWATdoctR. Further resources are presented which were compiled in the ongoing project and which can be valuable for other SWAT modelers. The presented work is a result of activities in the EU Horizon 2020 project OPTAIN (grant agreement No. 862756).
Sammendrag
Yngleknopper er knopper som løsner lett og bidrar til å spre en plante. Disse knoppene dannes ikke ved befruktning, men er omdannede deler av planten. Når de løsner, gjennomgår altså planten en form for vegetativ formering.
Sammendrag
Mange som dyrker grønnsaker til direkte salg er interessert i økologiske driftsmetoder. Det er mye organisk materiale tilgjengelig i byer og tettbygde strøk. Matrester og avfall fra hager og parker kan bli til både energi og gjødsel, som kan brukes i dyrking av grønnsaker i bynære strøk. Da får vi korte verdikjeder, men hva med innholdet av tungmetaller? Beregninger viser at grenseverdier i jord vil mettes først for kobber og sink, som også er viktige mikronæringsstoffer. for planter. Jordforbedringsmidler med høyt innhold av organisk materiale, som hage-park kompost og hestegjødsel, inneholder mer tungmetaller per kg tørrstoff enn fjørfegjødsel og utråtnet matavfall.
Forfattere
Erik J. JonerSammendrag
Det er ikke registrert sammendrag