André Assmann

ORCID: 0000-0002-5251-878X
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About
Contact & Profiles
Research Areas
  • Flood Risk Assessment and Management
  • Hydrology and Watershed Management Studies
  • Soil erosion and sediment transport
  • Hydrology and Drought Analysis
  • Cryospheric studies and observations
  • Disaster Management and Resilience
  • Metal and Thin Film Mechanics
  • Geophysics and Gravity Measurements
  • Agricultural risk and resilience
  • Peatlands and Wetlands Ecology
  • Image Processing and 3D Reconstruction
  • Climate change impacts on agriculture
  • Reservoir Engineering and Simulation Methods
  • GNSS positioning and interference
  • Landfill Environmental Impact Studies
  • Environmental Monitoring and Data Management
  • Climate Change and Sustainable Development
  • Geological Modeling and Analysis
  • Risk Perception and Management
  • Meteorological Phenomena and Simulations
  • History, Culture, and Society
  • Hydrology and Sediment Transport Processes
  • Animal Behavior and Welfare Studies
  • Infrastructure Resilience and Vulnerability Analysis
  • Advanced materials and composites

Geomer (Germany)
2016-2024

Universidade Federal do Rio Grande do Sul
2014

Abstract Vietnam is exposed to different types of floods that cause severe economic losses, damage infrastructure, and loss life. Reliable information on the drivers, patterns dynamics flood risk crucial for identification, prioritization planning reduction adaptation measures. Here, we present a systematic review existing assessments in Vietnam. We evaluate current status, persisting gaps, challenges regarding understanding assessment country. The literature revealed that: (i) 65 % reviewed...

10.1111/jfr3.12689 article EN cc-by-nc-nd Journal of Flood Risk Management 2021-01-23

The 2020 flood season in Thừa Thiên Huế province, Central Vietnam, was among the most severe recent history, driven by consecutive tropical storms and prolonged heavy rainfall. Between October November 2020, a series of storms, including Tropical Storm Linfa, Typhoon Molave, Goni, brought intense precipitation, causing widespread inundation significant damage to infrastructure livelihoods. hydrological complexity region, characterized mountainous terrain,...

10.5194/egusphere-egu25-3176 preprint EN 2025-03-14

Driven by rapid climate, socio-economic, environmental, and political change, flood risks in urban regions are on the rise. Given that cities highly complex integrated systems comprising social, ecological infrastructure domains, characterized high levels of complexity, such as cascading effects, interconnected interacting risk drivers. To ensure effectiveness management interventions, enhanced understanding empirical evidence nature is needed. Failing to understand how interact across...

10.1016/j.ijdrr.2024.104652 article EN cc-by-nc-nd International Journal of Disaster Risk Reduction 2024-07-02

Two‐dimensional ( 2D ) hydraulic models are widely used as tools for flood hazard mapping and also to support risk management. Yet, only few capable of using high‐resolution terrain data (raster‐based Digital Terrain Model with 1 m spatial resolution) on a large scale (hundreds square kilometres more). Central the model approach presented in this article is raster‐based High Performance Computing version FloodArea FloodAreaHPC ), which allows multicore processing, thus being able areas...

10.1111/jfr3.12287 article EN Journal of Flood Risk Management 2016-12-05

The awareness of pluvial (rain-related) flood risk has grown significantly in the past few years but flooding is not handled with same intensity throughout Europe. A variety methods and modelling technologies are used to assess hazard develop suggestions for mitigation measures. brief overview current model approaches followed by description a methodology that been developed last 15 focus on processing large scale areas. Experiences from several projects show only high quality models whole...

10.1051/e3sconf/20160704017 article EN cc-by E3S Web of Conferences 2016-01-01

Abstract The aim of this study is the improvement TanDEM-X elevation model for future floodwater modeling by implementing surveyed road dams and use filter algorithms. Modern satellite systems like deliver high-resolution images with a high vertical horizontal accuracy. Nevertheless, regarding special usage they sometimes reach their limits in documenting important features that are smaller than grid size. Especially context 2D-hydrodynamic flood modelling, influence runoff processes, e.g....

10.1007/s12665-020-09057-5 article EN cc-by Environmental Earth Sciences 2020-06-28

Dike failure events pose severe flood crisis situations on areas in the hinterland of dikes. In recent decades importance being prepared for dike breaches has been increasingly recognized. However, pre-assessment inundation resulting from is possible only based scenarios, which might not reflect situation a real event. This paper presents setup and workflow that allows to model breachinduced operationally, i.e. when an event imminent or occurring. A comprehensive system operational modelling...

10.1051/e3sconf/20160719002 article EN cc-by E3S Web of Conferences 2016-01-01

Abstract The transboundary region of the Iishana system in western Cuvelai Basin, between southern Angola and northern Namibia, is frequently affected by floods at irregular intervals. As a result, predominantly rural, subsistence farming population has experienced crop failures, human, economic losses. To date, very little known about generation floods, flood concentration, stormwater drainage dynamics this region. In study, 2D‐hydrodynamic modeling was applied to reconstruct one latest...

10.1002/rra.4187 article EN cc-by-nc-nd River Research and Applications 2023-07-13

Damage assessment is an important task requested in very different contexts. On the one hand detailed studies are required for cost benefit analysis, on other vulnerability and risk needs to be evaluated political decisions emergency situations (i.e. loss estimation of a large scale flood event). Even though lot have been performed methods available by now, it difficult use results decision making process, as many poorly described or based special data, therefore cannot compared each other....

10.1051/e3sconf/20160705006 article EN cc-by E3S Web of Conferences 2016-01-01
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