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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Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

b.vandenbout@utwente.nl

Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds (building no. 19), room 1432
Hallenweg 8
7522NH Enschede
The Netherlands

Mailing Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds 1432
P.O. Box 217
7500 AE Enschede
The Netherlands

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

University of Twente Drienerlolaan 5
7522 NB Enschede

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