SmartWood_3D
Financiado
Applying state of the art smart sensor technology and Structure from Motion SfM...
Applying state of the art smart sensor technology and Structure from Motion SfM photogrammetry for quantification of large wood LW movement processes and accumulation assessment in fluvial systems
Large wood (LW) plays an important role in fluvial systems as it moderates stream power, regulates sediment transport and provides habitat for fish and other living organisms. Besides the beneficial effects of a balanced wood budg...
Large wood (LW) plays an important role in fluvial systems as it moderates stream power, regulates sediment transport and provides habitat for fish and other living organisms. Besides the beneficial effects of a balanced wood budget in rivers, challenges arise for abundant quantities of accessible LW. Large quantities of wood show negative effects on stream ecology, river-crossing infrastructure and flood mitigation. The sudden and disastrous occurrence of LW during floods regularly affects communities and stream systems all over the world. Due to a lack of applicable methodologies in LW research little is known about transport dynamics of wood in rivers to date. In order to expand the current understanding of flow-sediment-wood interaction processes, especially at higher flow rates, specific and profound research is required. This project aims to utilise state of the art technologies for the application in nature sciences. Nine-degree of freedom (9-DoF) smart sensors are implanted into wood logs ‘SmartWood’, to capture complex movement processes in-situ. Furthermore, Structure from Motion photogrammetry is applied for the generation of 3D LW accumulation models, on a basis of 2D images, for precise volume, porosity and surface texture evaluation. The innovative methodologies allow for novel insights into LW movement behaviour and for quantification of wood deposits, which are often obstructing and diverting the flow. An improved understanding of LW movement processes is essential to better predict arising impacts on channel morphology, river-crossing infrastructure and environment. Gained results will contribute in a more reliable risk assessment for wood prone stream systems, advanced river and forestry management strategies under consideration of LW conveyance and filtering of critical key-logs, and to realize a concept that allows wood in rivers, as a natural and environmentally important element, consistent with modern land use and infrastructure.
ver más
Duración del proyecto: 28 meses
Fecha Inicio: 2020-04-01
Fecha Fin: 2022-08-31
Fecha Fin: 2022-08-31
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2022-08-31
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
MSCA-IF-2019:
Individual Fellowships
Cerrada
hace 5 años
Presupuesto
El presupuesto total del proyecto asciende a
191K€
Líder del proyecto
EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
No se ha especificado una descripción o un objeto social para esta compañía.
247.44K€ |
Participante