Permanent grassland soils can act as a sink for carbon and may therefore positively contribute to climate change mitigation and adaptation. We compared young (5–15 years since latest grassland renewal) with old (>20 years since latest grassland renewal) permanent grassland soils in terms of carbon stock, carbon sequestration, drought tolerance and flood resistance. The research was carried out on marine clay soil at 10 dairy farms with young and old permanent grassland. As hypothesized, the carbon stock was larger in old grassland (62 Mg C ha−1) topsoil (0–10 cm) than in young grassland topsoil (51 Mg C ha−1). The carbon sequestration rate was greater in young (on average 3.0 Mg C ha−1 year−1) compared with old grassland (1.6 Mg C ha−1 year−1) and determined by initial carbon stock. Regarding potential drought tolerance, we found larger soil moisture and soil organic matter (SOM) contents in old compared with young grassland topsoils. As hypothesized, the old grassland soils were more resistant to heavy rainfall as measured by water infiltration rate and macroporosity (at 20 cm depth) in comparison with the young grassland soils. In contrast to our hypothesis we did not find a difference in rooting between young and old permanent grassland, probably due to large variability in root biomass and root tip density. We conclude that old grasslands at dairy farms on clay soil can contribute more to the ecosystem services climate change mitigation and climate change adaptation than young grasslands. This study shows that under real farm conditions on a clay topsoil, carbon stock increases with grassland age and even after 30 years carbon saturation has not been reached. Further study is warranted to determine by how much extending grassland age can contribute to climate change mitigation and adaptation.
MULTIFILE
NL: Het zijn andere nieuwe tijden. Off-line en/of on-line. Dr Marije Kanis van Digital life heeft een aantal fragmenten bij elkaar gezet in de periode van Covid-19. Voel je vrij in het kader van ‘connected intelligence’ om deze mooier te maken, beter te categoriseren, te editen, credits toe te voegen, of aan te vullen. GB: The corona pandemic changes the way we live. Digital life is seeking ways to cope. In realm of Connected intelligence’, please feel free to add, credit and edit.What can we learn from corona times? is a collection of on-line fragments and illustrations from the Internet. It covers a wide range of themes in relation to the period of Covid-19, such as tools for online creativity and remote collaboration, digital suggestions for physical exercise and social distancing by design.
Massafabricage in de (MKB) maakindustrie is aan het veranderen in flexibele fabricage en assemblage van kleine series, klantspecifieke onderdelen en eindproducten. Hiervoor zijn nieuwe systemen voor het MKB nodig, waarin robots en mensen samen kunnen werken en die zich snel kunnen aanpassen aan nieuwe productieomstandigheden met lage opstartkosten. De ambitie van het project ?(G)een Moer Aan!? is om het herconfigureren van een robotsysteem voor een nieuwe taak in een productieomgeving net zo eenvoudig en snel te maken als het gebruik van een smartphone. Zo?n benadering biedt kansen om de skills van de operator te benutten. De operator kent immers zijn processen en de robot wordt zijn hulpje. Op vraag van betrokken mkb partners is de focus gelegd op een repeterende productiehandeling die in veel sectoren voorkomt en die relatief veel arbeidstijd kost: het indraaien van moeren en bouten in een object. De centrale onderzoeksvraag van het project luidt: Hoe kan een operator een robot eenvoudig, snel en veilig inleren om assemblage handelingen te verrichten voor het snel en robuust verbinden van bouten, moeren en ringen met objecten? Resultaat van dit praktijkgerichte onderzoeksproject is een algemeen bruikbare en gevalideerde ontwerpmethodiek voor de opzet van een gebruiksvriendelijke user interface van een boutmontagerobot op de werkvloer. Door slim gebruik van geïntegreerde inzet van CAD productinformatie, vision technologie en compliant (meegaand) gripping en placing wordt de robot zo veel als mogelijk vooraf automatisch geconfigureerd. Het projectconsortium dat het onderzoek gaat uitvoeren bestaat uit: " 13 bedrijven (12 mkb) actief als toeleverancier, system integrator of gebruiker op het terrein van industriële robotica (Yaskawa, ABB, Smart Robotics, Hupico, Festo, CSi, Demcon, Heemskerk Innovate, WWA, Van Schijndel Metaal, Van Beek, Tegema en Zest Innovate); " Hogescholen Fontys (penvoerder), Avans, Utrecht en NHL; " Kennisinstellingen TNO en DIFFER; " Coöperaties Brainport Industries, FEDA en Koninklijke Metaalunie; " De gemeente Eindhoven is betrokken als partner in de klankbordgroep. De gemeente ondersteunt het belang van dit project voor behoud en verbetering van arbeidsplaatsen in de maakindustrie. Er zullen circa 20 (docent)onderzoekers van de hogescholen en ongeveer 80 studenten betrokken worden bij dit project, die in de vorm van stages en afstudeeronderzoeken werken aan interessante vraagstukken direct afkomstig uit de beroepspraktijk. Naast genoemde meerwaarde voor het bedrijfsleven beoogt het project een verdere verankering van kennis en kunde in onderwijs en lectoraten en een vergroting van de kwaliteit van docenten en afstudeerders.
Various companies in diagnostic testing struggle with the same “valley of death” challenge. In order to further develop their sensing application, they rely on the technological readiness of easy and reproducible read-out systems. Photonic chips can be very sensitive sensors and can be made application-specific when coated with a properly chosen bio-functionalized layer. Here the challenge lies in the optical coupling of the active components (light source and detector) to the (disposable) photonic sensor chip. For the technology to be commercially viable, the price of the disposable photonic sensor chip should be as low as possible. The coupling of light from the source to the photonic sensor chip and back to the detectors requires a positioning accuracy of less than 1 micrometer, which is a tremendous challenge. In this research proposal, we want to investigate which of the six degrees of freedom (three translational and three rotational) are the most crucial when aligning photonic sensor chips with the external active components. Knowing these degrees of freedom and their respective range we can develop and test an automated alignment tool which can realize photonic sensor chip alignment reproducibly and fully autonomously. The consortium with expertise and contributions in the value chain of photonics interfacing, system and mechanical engineering will investigate a two-step solution. This solution comprises a passive pre-alignment step (a mechanical stop determines the position), followed by an active alignment step (an algorithm moves the source to the optimal position with respect to the chip). The results will be integrated into a demonstrator that performs an automated procedure that aligns a passive photonic chip with a terminal that contains the active components. The demonstrator is successful if adequate optical coupling of the passive photonic chip with the external active components is realized fully automatically, without the need of operator intervention.
Phosphorus is an essential element for life, whether in the agricultural sector or in the chemical industry to make products such as flame retardants and batteries. Almost all the phosphorus we use are mined from phosphate rocks. Since Europe scarcely has any mine, we therefore depend on imported phosphate, which poses a risk of supply. To that effect, Europe has listed phosphate as one of its main critical raw materials. This creates a need for the search for alternative sources of phosphate such as wastewater, since most of the phosphate we use end up in our wastewater. Additionally, the direct discharge of wastewater with high concentration of phosphorus (typically > 50 ppb phosphorus) creates a range of environmental problems such as eutrophication . In this context, the Dutch start-up company, SusPhos, created a process to produce biobased flame retardants using phosphorus recovered from municipal wastewater. Flame retardants are often used in textiles, furniture, electronics, construction materials, to mention a few. They are important for safety reasons since they can help prevent or spread fires. Currently, almost all the phosphate flame retardants in the market are obtained from phosphate rocks, but SusPhos is changing this paradigm by being the first company to produce phosphate flame retardants from waste. The process developed by SusPhos to upcycle phosphate-rich streams to high-quality flame retardant can be considered to be in the TRL 5. The company seeks to move further to a TRL 7 via building and operating a demo-scale plant in 2021/2022. BioFlame proposes a collaboration between a SME (SusPhos), a ZZP (Willem Schipper Consultancy) and HBO institute group (Water Technology, NHL Stenden) to expand the available expertise and generate the necessary infrastructure to tackle this transition challenge.
