dr. B. van den Bout (Bastian)

Earth & Environmental Sciences

# Catchment
# Debris Flow
# Hazard
# Landslide
# Mass Movement
# Modeling
# Slope Failure

Engineering & Materials Science

# Catchments

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Applied Earth Sciences (AES)

van den Bout, B. , Jetten, V. , van Westen, C. , & Lombardo, L. (2023). Fastflood.org, an open-source super-fast flood model in the browser. Abstract from EGU General Assembly 2023, Vienna, Austria. https://doi.org/10.5194/egusphere-egu23-3611

Subiyantoro, A. , Van Westen, C. J. , van den Bout, B., Yuniawan, R. A., & Mulyana, A. R. (2022). Semi-automatic Landslide Detection Using Google Earth Engine, a Case Study in Poi Village, Central Sulawesi. In 2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology, ICARES 2022 - Proceedings IEEE. https://doi.org/10.1109/ICARES56907.2022.9993507

Chen, Y. , van den Bout, B. , Lombardo, L. , & van Westen, C. (2022). Modeling Earthquake-induced Landslide initiation using the Fibre Bundle Model. Earth ArXiv. https://doi.org/10.31223/X5C364

van den Bout, B. , Jetten, V. , van Westen, C. , & Lombardo, L. (2022). A breakthrough in fast flood simulation. Earth ArXiv. https://doi.org/10.31223/X5MM2Z

Dahal, A. , van den Bout, B. , van Westen, C., & Nolde, M. (2022). Deep Learning-Based Super-Resolution of Digital Elevation Models in Data Poor Regions. Earth ArXiv. https://doi.org/10.31223/X5DD21

van den Bout, B., Tang, C. , van Westen, C. , & Jetten, V. G. (2022). Physically based modeling of co-seismic landslide, debris flow, and flood cascade. Natural hazards and earth system sciences, 22(10), 3183-3209. https://doi.org/10.5194/nhess-22-3183-2022

van den Bout, B., Tang, C. , van Westen, C. , & Jetten, V. (2022). Physically-based modelling of co-seismic landslide, debris flow and flood cascade. European Geophysical Union (EGU). https://doi.org/10.5194/nhess-2021-292

Subiyantoro, A. , van Westen, C. , van den Bout, B. , Jetten, V., Muntohar, A., Mushthofa, A., Yuniawan, R. A., & Satyaningsih, R. (2022). Development of a local impact-based Landslide Early Warning System using physically-based multi-hazards modelling and machine learning in Java, Indonesia.. Abstract from EGU General Assembly 2022, Vienna, Austria. https://doi.org/10.5194/egusphere-egu22-6969

Yuniawan, R. A., Rifai, A., Faris, F. , van Westen, C. , Jetten, V. , van den Bout, B. , Subiyantoro, A., Muntohar, A., Musthofa, A., Hidayat, R., Hidayah, A., Ridwan, B., Priangga, E. , Satyaningsih, R., & Sutanto, S. (2022). Revisited rainfall threshold In the Indonesia landslide early warning system . Abstract from EGU General Assembly 2022, Vienna, Austria. https://doi.org/10.5194/egusphere-egu22-7863

van den Bout, B. , van Westen, C. , & Jetten, V. G. (2022). Non-monotonic relationships between return periods of precipitation surface hazard intensity. Water (Switzerland), 14(9), [1348]. https://doi.org/10.3390/w14091348

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b.vandenbout@utwente.nl

Bezoekadres

Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds (gebouwnr. 19), kamer 1432
Hallenweg 8
7522NH Enschede

Postadres

Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds 1432
Postbus 217
7500 AE Enschede

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Applied Earth Sciences (AES)

Universiteit Twente Drienerlolaan 5
7522 NB Enschede

+31 (0)53 489 9111
info@utwente.nl
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