The Risk Index Outcome (RIO) is a critical component of the Polar Operational Limit Assessment Risk Indexing System (POLARIS) developed by the International Maritime Organization (IMO, 2016). RIO evaluates the operational risks for ships navigating in ice-infested waters by evaluating ice conditions and offers a quantifiable measure of risk that aids in decision-making for safe navigation in polar regions based on ship ice class, sea ice type/stage of development (SOD) and sea ice concentration (SIC). The DMI-led Automated Sea Ice Products (DMI-ASIP; Wulf et al., 2024, dataset) provides daily maps of SOD and SIC based on Sentinel-1 SAR imagery, AMSR-2 Passive Microwave and Ice Charts from the Greenland and Canadian Ice Services, combined with novel AI retrieval and processing techniques. In the framework of EU funded Arctic PASSION project, we produced 10 years of satellite observation based weekly RIO maps referred as the Arctic PASSION-RIO (AP-RIO) by leveraging DMI-ASIP datasets. The AP-RIO dataset will provide weekly risk assessment maps for the given ship classes and will support the establishment of a 10 year climatology thereby enabling the assessment of RIO variability in the years covered by the input DMI-ASIP products. The AP-RIO dataset will enhance the safety and efficiency of maritime operations in the polar seas, providing a robust reference for evaluating normal and extreme ice conditions. AP-RIO is produced in the framework of the Arctic PASSION project (European Union's Horizon 2020 research and innovation program under grant agreement No. 101003472) and supported by the DMI-ASIP development team.
Algorithm and Processing Scheme:
SIC and SOD from ASIP are processed (by taking the mean and mode respectively) into a weekly field based on the daily files for that week. This is done for the time period of 3 Oct. 2014 - 3 Oct. 2024. The weekly SOD is used to find the Risk Value (RV) by looking at the lookup table (Dybkjær et al. 2025a). Risk Index Outcome (RIO) values are computed for each pixel in the field based on the RIO formula (RIO = SIC x RV) using the SIC from ASIP and the found RV. The meaning of the computed RIO values can be interpreted using the table in (Dybkjær et al. 2025b). The RIO field is finally saved to weekly NetCDF files.
Kernanliegen des Vorhabens ist es, einen Überblick darüber zu gewinnen, wie sich Bauabfälle einer stofflichen Verwertung zuleiten lassen und dabei möglichst in gleicher oder anderer Funktionalität wieder in Bauprodukte zurückgeführt werden können, bevor sie in eine anderweitige bzw. thermische Verwertung gelangen. Ziel ist die Herbeiführung einer verbesserten Kreislaufwirtschaft im Bereich der Bauwirtschaft. Ausgangslage: Mit dem Beschluss der Bundesregierung 'Nachhaltiges Deutschland' wurde als einer der Leitindikatoren die Ressourceneffizienz bestimmt. Darin wird gefordert, die Ressourceneffizienz vom Niveau 1990 bis 2020 um 50Prozent zu steigern. Da der Indikator aus dem Quotient von BIP und Materialumsatz in Tonnen gemessen wird, hat das Bauwesen mit den eingesetzten Massenbaustoffen einen hohen Anteil (ca. 50Prozent). Die Anforderungen an Bauwerke sind maßgeblich durch die gesellschaftlichen Vorgaben definiert. Da zudem die Wertschöpfung bezogen auf die Masse der Substanz im Verhältnis zu anderen Wirtschaftszweigen gering ist, sind Ressourceneinsparungen schwieriger zu realisieren als bei anderen Produktbereichen. In Deutschland werden nach Angaben der Bauwirtschaft bereits annähernd 90Prozent des entstehenden Abfalls verwertet und ein hoher Anteil davon recycelt (Nachnutzung). Dennoch fallen am Ende des Lebenszyklus nach wie vor Bauabfälle in der Größenordnung von 32,5 Mio. Tonnen an, die nicht dem Recycling, sondern der 'sonstigen Verwertung' zugeführt werden. Ziel: Das Projekt hat das Ziel, Potenziale zur Steigerung eines hochwertigen Recyclings bei Bauschutt und Baustellenabfällen zu untersuchen. Hierfür werden die derzeitigen Stoffströme der Massenbaustoffe Beton, Ziegel, Kalksandstein, Porenbeton, Gips, Holz, Mineralwolle und Hartschaumdammstoffe, Glas und Kunststoffe analysiert und zwei Szenarien für 2030 aufgestellt. Dabei sollen typische Hemmnisse bei der Steigerung der Kreislaufführung von Baumaterialien aufgezeigt werden. Für die Potenzialabschätzung werden vorab Herkunft, Zusammensetzung und Verwertungswege der genannten Materialfraktionen überschlägig ermittelt. Einen Schwerpunkt der Betrachtung bilden die technischen Möglichkeiten zur Steigerung der Kreislaufführung durch höherwertige Verwertung der Abfallströme des Bauwesens. Innovative Recycling- und Verwertungstechnologien kommen zur Bewertung. Zusätzlich zu den Verfahren zur Gewinnung hochwertiger Rezyklate und deren Optimierungspotenzialen sollen Aufnahmekapazitäten des Bauwesens für mögliche recycelbare Stoffmengen entlang der Bautätigkeit 2010 bis 2030 eingeschätzt werden.
We propose to use positron emission tomography (PET) for imaging of tracer migration in a soil horizon, to be coupled with image simulation using the lattice Boltzmann equation (LBE) modeling approach. PET enables direct visualization of inert KF or KBr solute migration at the soil horizon scale, but also reactive halogenated organic target (2,4-D and MCPA) compound migration down to nM concentrations once radiolabelling with 18F or 76Br marker is achieved. Retardation at biogeochemical interfaces with different sorption properties will thus be imaged in-situ. Theoretical image simulation for process verification will be enabled by introducing a multi-grid approach and additional kinetic boundary conditions in the parallelized LBE solver. As a boundary condition for the latter, the real pore scale and distribution of biogeochemical interfaces will be derived by X-ray computer-tomography (XCT) down to 300 nm spatial voxel resolution. The aim is to produce by both approaches velocity field movies due to heterogeneous biogeochemical retardation of the target compounds with high resolution in both the spatial and temporal scale (4D).
Water is an intrinsic component of ecosystems acting as a key agent of lateral transport for particulate and dissolved nutrients, forcing energy transfers, triggering erosion, and driving biodiversity patterns. Given the drastic impact of land use and climate change on any of these components and the vulnerability of Ecuadorian ecosystems with regard to this global change, indicators are required that not merely describe the structural condition of ecosystems, but rather capture the functional relations and processes. This project aims at investigating a set of such functional indicators from the fields of hydrology and biogeochemistry. In particular we will investigate (1) flow regime and timing, (2) nutrient cycling and flux rates, and (3) sediment fluxes as likely indicators. For assessing flow regime and timing we will concentrate on studying stable water isotopes to estimate mean transit time distributions that are likely to be impacted by changes in rainfall patterns and land use. Hysteresis loops of nitrate concentrations and calculated flux rates will be used as functional indicators for nutrient fluxes, most likely to be altered by changes in temperature as well as by land use and management. Finally, sediment fluxes will be measured to indicate surface runoff contribution to total discharge, mainly influenced by intensity of rainfall as well as land use. Monitoring of (1) will be based on intensive sampling campaigns of stable water isotopes in stream water and precipitation, while for (2) and (3) we plan to install automatic, high temporal-resolution field analytical instruments. Based on the data obtained by this intensive, bust cost effective monitoring, we will develop the functional indicators. This also provides a solid database for process-based model development. Models that are able to simulate these indicators are needed to enable projections into the future and to investigate the resilience of Ecuadorian landscape to global change. For the intended model set up we will couple the Catchment Modeling Framework, the biogeochemical LandscapeDNDC model and semi-empirical models for aquatic diversity. Global change scenarios will then be analyzed to capture the likely reaction of functional indicators. Finally, we will contribute to the written guidelines for developing a comprehensive monitoring program for biodiversity and ecosystem functions. Right from the beginning we will cooperate with four SENESCYT companion projects and three local non-university partners to ensure that the developed monitoring program will be appreciated by locals and stakeholders. Monitoring and modelling will focus on all three research areas in the Páramo (Cajas National Park), the dry forest (Reserva Laipuna) and the tropical montane cloud forest (Reserva Biologica San Francisco).
Ausgewählte verbrauchte Kühlschmierstoffemulsionen werden mit Hilfe von Mikroorganismen aufgespalten und abgebaut.