Expertise
Earth & Environmental Sciences
# Catchment
# Debris Flow
# Flash Flood
# Landslide
# Mass Movement
# Modeling
# Rainfall
# Tropical Environment
Faculty of Geo-Information Science and Earth Observation (ITC), Department of Applied Earth Sciences (AES)Research
Throughout my career I have been working on natural hazards and land degradation, fascinated by creating models that simulate these processes. Starting with biomass and grazing capacity in Afrika, followed by the effects of logging on the rain forest water balance, I moved to soil erosion and land degradation processes as a result of land use management and overgrazing. From there I became interested in extreme events leading to natural disasters, not only in rural but also in urban envrironments. I strongly believe that these processes should not be studied and modeled as separate disciplines but in a much more holistic way than we currently do. In the context of Natural Disasters stakeholders are confronted with domino and compounding effects multiple hazards. I think science has to be useful for society and my aim is to provide timely and actionable spatial information in disaster preparedness, prevention and response.
Publications
Recent
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
Yuniawan, R. A., Rifa’i, A., Faris, F.
, Subiyantoro, A.
, Satyaningsih, R., Hidayah, A. N., Hidayat, R., Mushthofa, A., Ridwan, B. W., Priangga, E., Muntohar, A. S.
, Jetten, V. G.
, van Westen, C. J.
, van den Bout, B., & Sutanto, S. J. (2022).
Revised rainfall threshold in the Indonesian landslide early warning system.
Geosciences (Switzerland),
12(3), 1-17. [129].
https://doi.org/10.3390/geosciences12030129
Umer, Y. M. (2022).
Advances in localized flood hazard modelling in urbanized and data-scare areas. [PhD Thesis - Research UT, graduation UT, Faculty of Geo-Information Science and Earth Observation, University of Twente]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC).
https://doi.org/10.3990/1.9789036553247
Muntohar, A.
, Mavrouli, O. C.
, van Westen, C. J.
, Jetten, V. G., & Hidayat, R. (2021).
Development of landslide early warning system based on the satellite-derived rainfall threshold in Indonesia. In N. Casagle, V. Tofani, K. Sassa, P. T. Bobrowsky, & K. Takara (Eds.),
Understanding and Reducing Landslide Disaster Risk. WLF 2020. ICL Contribution to Landslide Disaster Risk Reduction (pp. 227). Springer.
https://doi.org/10.1007/978-3-030-60311-3_26
UT Research Information System
Courses Academic Year 2022/2023
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.
Courses Academic Year 2021/2022
Contact Details
Visiting Address
University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC
(building no. 75), room 5-035
Hengelosestraat 99
7514AE Enschede
The Netherlands
Mailing Address
University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC
5-035
P.O. Box 217
7500 AE Enschede
The Netherlands