- Hydrology and Sediment Transport Processes
- Remote Sensing and LiDAR Applications
- Soil erosion and sediment transport
- Landslides and related hazards
- Tree Root and Stability Studies
- 3D Surveying and Cultural Heritage
- Wood Treatment and Properties
- Geotechnical Engineering and Underground Structures
- Flood Risk Assessment and Management
- Soil and Unsaturated Flow
- Image Processing and 3D Reconstruction
- Hydrology and Watershed Management Studies
- Manufacturing Process and Optimization
- Transportation Safety and Impact Analysis
- Architecture and Computational Design
- Fire effects on ecosystems
- Aeolian processes and effects
- Hydraulic flow and structures
ETH Zurich
2021-2024
University of Auckland
2018-2022
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering
2022
Abstract In the last 30 years, work on large wood (LW) has expanded and matured considerably, river scientists, managers practitioners now have a better appreciation of role LW in maintaining ecosystems, forming or stabilizing riverine landforms, interacting with morphodynamics. We gained understanding hazards posed by recruitment transport channel associated infrastructure. While dynamics traditionally been studied natural environment, innovations laboratory techniques enabled important...
Abstract Large wood (LW) can be transported along a river during floods, increasing flood‐associated hazards, particularly when it accumulates at river‐spanning infrastructures such as bridges and weirs. While most flume studies have explored LW movement with simple wooden elements (dowels), only few used more complex geometries, rootwads, under unsteady flow conditions. Quantitative assessment of interactions amongst has rarely been attempted the effect this additional complication even...
Quantification and assessment of large wood (LW) accumulations in fluvial systems is still considered difficult due to the complex nature wooden deposits. Although knowledge about volumetric measures porosity parameters LW crucial for prediction hydraulic geomorphic effects, it has not yet been possible obtain accurate measurements. These limitations are mainly based on a lack applicable sensing technologies available past. In present study, close-range aerial surveying technique (Structure...
Abstract Large Wood (LW) transported during floods or channelized mass flows poses a high risk for engineered structures, often leading to significant damage total failure of the impacted structure. To date little is known about impact magnitudes caused by LW collisions. better control such interactions, understanding transport dynamics and forces required. The present laboratory study employs state-of-the-art sensor units installed in scaled logs capture acceleration data from collisions...
A novel experimental setup for the laboratory was designed in order to investigate large woody debris accumulations and their influence on hydraulic flow conditions channel morphology at a river cross-section. Real wood mobile gravel bedload material were used simulate morphodynamic interactions headwater stream, based New Zealand prototype river. The survey methodology employs Structure from Motion techniques, using an advanced multi-camera-array. In this study we present initial results...
Abstract Wood plays an important ecological role in rivers. Yet challenges arise when large wood (LW) is mobilised and transported during floods. Due to a lack of quantitative data, movement behaviour LW floods still not well understood date. A proof-of-concept study was conducted at three Swiss rivers test state-of-the-art sensor-tagged logs, so-called “SmartWood” collect field-scale data about behaviour. The experiments utilised innovative inertial measurement units (IMUs), which have been...
<p>Large wood (LW) and logjams are common important elements in rivers, yet knowledge about composition, volume porosity of wooden structures streams is still limited. Most studies apply a rectangular approach (manually measuring rough bounding-box the logjam) to estimate LW accumulation porosity. However, this method cannot capture complex dimensions accumulations may introduce an additional human-made estimation error. Furthermore, there risk accidents involved when obtaining...