Publications
NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.
2024
Abstract
Sustainable source-based hydrogels are now paid much importance for managing water pollution due to their distinctive chemical and physical properties like hydrophilicity, biocompatibility, viscoelasticity, superabsorbancy, softness, fluffiness, and biodegradability. Alginate-based hydrogels can incorporate much water due to their hydrophilic nature.Water pollution often changes groundwater, resulting in the inability to use it. Alginate-based gels remove pollutants through adsorption/desorption, transport, and other conventional techniques. Alginatebased hydrogels can incorporate much water due to their hydrophilic nature. Their composites have been demonstrated to control different water pollutants like inorganic, organic, and pathogenic microbes from various water streams in unique structural forms like a flat membrane, hollow fibber, microspheres, gels, foams, nanofibers, Calcium and sodium alginate-based hydrogel along with other materials like activated charcoal, zeolite, bentonite, graphene, biochars and composites have been proved to be effective blend in managing heavy metal pollutants.This review summarizes the results obtained from the sustainable removal of contaminants from water through the alginate-based hydrogel and the challenges associated with it for practical application in the future.
Abstract
No abstract has been registered
Authors
Geir Wæhler Gustavsen Gry Alfredsen Philip Bester van Niekerk Jonas Niklewski Christian BrischkeAbstract
No abstract has been registered
Abstract
The biological durability of ten wood species was determined on the basis of results from laboratory agar block tests. The experiment utilised two specimen formats: standard EN 113-2 specimens (15 × 25 × 50 mm) and mini-blocks (5 × 10 × 30 mm) exposed to two fungi (Coniophora puteana and Trametes versicolor) for varying incubation periods. Mini-block tests yield dissimilar outcomes compared to the European standard test at six, eight, ten or 16 weeks of incubation. This discrepancy extended to both durability classifications based on median percentage mass loss and those based on relative mass loss (x-values). It was therefore concluded that laboratory tests with miniaturised specimens are not advisable as a substitute for conventional durability classification assessments.
Authors
Yi Zhang Xingru Yang Yijing Feng Zhiyue Dai Zhangmu Jing Yeqing Li Lu Feng Yanji Hao Shasha Yu Weijin Zhang Yanjuan Lu Chunming Xu Junting PanAbstract
Exploring the complex mechanism of anaerobic digestion with hydrothermal pretreatment (HTAD) for biomass efficiently and optimising the reaction conditions are critical to improving the performance of methane production. This study used H2O automated machine learning (AutoML) for comprehensive prediction, analysis, and targeted optimization of the HTAD system. An IterativeImputer system for data filling was constructed. The comparison of three basic regressors showed that random forest performed optimally for filling (R2 > 0.95). The gradient boosting machine (GBM) model was searched by H2O AutoML to show optimal performance in prediction (R2 > 0.96). The software was developed based on the GBM model, and two prediction schemes were devised. The generalization error of the software was less than 10%. The Shapley Additive exPlanations value showed that solid to liquid ratio, hydrothermal pretreatment (HT) temperature, and particle size have greater potential for improving cumulative methane production (CMP). A Bayesian-HTAD optimization strategy was devised, using the Bayesian optimization to directionally optimize the reaction conditions, and performing experiments to validate the results. The experimental results showed that the CMP was significantly improved by 51.63%. Compared to the response surface methodology, the Bayesian optimization relatively achieved a 2.21–2.50 times greater effect. Mechanism analyses targeting the experiments showed that HT was conducive to improving the relative abundance of Sphaerochaeta, Methanosaeta, and Methanosarcina. This research achieved accurate prediction and targeted optimization for the HTAD system and proposed multiple filling, prediction, and optimization strategies, which are expected to provide an AutoML optimization paradigm for anaerobic digestion in the future.
Authors
Klemens Schadauer Rasmus Astrup Johannes Breidenbach Jonas Fridman Stephan Gräber Michael Köhl Kari T. Korhonen Vivian Kvist Johannsen Francois Morneau Risto Päivinen Thomas RiedelAbstract
No abstract has been registered
Authors
Ivy Britzny Osae Peep Mardiste Dina Stober Sebastian Eiter Matthias Buchecker Monika SuškevičsAbstract
The ‘Aarhus Convention’ – regulating access to environmental information, public participation and justice in environmental decision−making – is a key international agreement with a long history and a considerable number of signatory countries. While implementation has been studied nationally, there is little comparative research at the transnational level. Based on ten criteria, we analysed national implementation reports of the 2014, 2017 and 2021 reporting cycles in terms of how 33 countries in Europe have implemented the access to information and public participation pillars, and identified obstacles they encountered. We also studied similarities and differences supra-nationally. Overall, countries are quite successfully fulfilling the obligations of the two pillars. Most obstacles reported concern four criteria: access to information, information provision, interaction, and trust. Implementation practices have changed little from 2014 to 2021. However, East- and South-European countries report more, and more persistent or repetitive obstacles, compared to Northern and Western European countries. The national democratic context seems to affect the quality of implementation. The Convention’s compliance bodies and national agencies responsible for coordinating the implementation are encouraged to interact more closely, to account for the differences and leverage implementation.
Authors
Daniel Ruiz Potma Gonçalves Thiago Inagaki Luis Gustavo Barioni Newton La Scala Junior Maurício Roberto Cherubin João Carlos de Moraes Sá Carlos Eduardo Pellegrino Cerri Adriano AnselmiAbstract
Soils are the third largest carbon pool on Earth and play a crucial role in mitigating climate change. Therefore, understanding and predicting soil carbon sequestration is of major interest to mitigate climate change globally, especially in countries with strong agricultural backgrounds. In this study, we used a new database composed of 5029 samples collected up to 1-meter depth in three biomes that are most representative of agriculture, Pampas (Prairie), Cerrados (Savanna), and Atlantic Forest (Forest), to explore soil organic carbon (SOC) stocks and its environmental drivers. The Cerrado (Savanna) biome was the only one where croplands presented higher SOC stocks than native vegetation (Native vegetation 121.23 Mg/ha and croplands 127.85 Mg/ha or 5 % higher). From the tested models, the Random Forest outperformed the others, achieving an R2 of 0.64 for croplands and 0.56 for native vegetation. The accuracy of the models varied with soil depth, showing better predictions in shallow layers for croplands and deeper layers for native vegetation. Our results highlight the importance of clay content, precipitation, net primary production (NPP), and temperature as key predictors for soil carbon stocks in the studied biomes. The findings emphasize the importance of protecting the surface layers, especially in the Cerrado biome, to enhance SOC stocks and promote sustainable land management practices. Moreover, the results provide valuable insights for the development of nature-based carbon markets and suggest potential strategies for climate change mitigation. Enhancing our understanding of SOC dynamics and adopting precise environmental predictors will contribute to the formulation of targeted soil management strategies and accelerate progress toward achieving climate goals.
Authors
Nina SvartedalAbstract
No abstract has been registered
Abstract
Rapporten gir en oversikt over NIBIO sine aktiviteter i AdaptaN II prosjektet gjennomført i samarbeid med tsjekkiske partnere. NIBIO har bidratt med vurdering av erosjonsrisiko og modellering av erosjonstiltak for klimatilpasning på jordbruksarealer for et nedbørfelt i Větřkovice i Moravian – Silesian Region i Tsjekkia. Delrapport 1 gir en oversikt over aktuelle erosjonstiltak i bruk i Norge samt regelverk, støtteordninger og subsidier for miljøtiltak. Delrapport 2 gir en oversikt over viktige faktorer ved vurdering av erosjonsrisiko og resultat fra modellering av utvalgte erosjonstiltak, spesielt vegetasjonssoner og grasdekte vannveier for studieområdet i Tsjekkia.