• Room F-503, W&N-building

  • Institute for Environmental Studies (IVM), De Boelelaan 1087

    1081 HV Amsterdam

20142017
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Personal profile

Personal information

Dirk Eilander is a PhD candidate at the Institute for Environmental Studies (IVM) at the Vrije Universiteit Amsterdam since May 2017. The topic of his PhD research is compound flood risk at the global scale. This research is funded by a NWO VIDI grant and conducted under the supervision of Dr. Philip Ward and Dr. Hessel Winsemius.

Next to his PhD research, Dirk works as hydrologist/researcher in the Catchment and Urban Hydrology department of Deltares, where he focuses on flood and drought risks. He has gained work experience in national and international research and consultancy projects in Indonesia, Africa, the United States and Europe. 

Expertise

Catchment hydrology, hydrodynamics, natural hazards, risk assessments, climate change, adaptation, big data, spatial analysis.

Education

2013: Master Water Management at Delft University of Technology.

2010: Bachelor Civil Engineering at Delft University of Technology.

Research

Globally, floods cause thousands of fatalities and billions of Euros of damage per year. Hence, several global models have been developed to assess the impacts of either river or coastal floods. However, the socioeconomic impacts of flooding in deltas and estuaries are even worse when river and coastal floods coincide, such as during Hurricane Harvey in 2017 and the devastating floods in Thailand in 2011. Since current global flood risk models assess either river or coastal flood processes, they cannot be used to examine the influence of such compound river and coastal flood processes on flood risk.

The proposed research fills this knowledge gap. The main objective is to improve our understanding of compound flooding in delta areas and its influence on flood risk. To this end a globally applicable nested flood model will be developed. This model will be used to to understand the effect of compound floods on total flood risk and to characterize compound floods and their meteorological drivers.

Ancillary activities

No ancillary activities

Ancillary activities are updated daily

Education/Academic qualification

Water Management, Master, Technische Universiteit Delft

1 Sep 201012 Apr 2013

Civil Engineering, Bachelor, Delft University of Technology

1 Sep 200631 Aug 2010

Keywords

  • GE Environmental Sciences

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

model validation Earth & Environmental Sciences
monitoring Earth & Environmental Sciences
basin Earth & Environmental Sciences
flooding Earth & Environmental Sciences
synthetic aperture radar Earth & Environmental Sciences
radar imagery Earth & Environmental Sciences
water storage Earth & Environmental Sciences
semiarid region Earth & Environmental Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2014 2017

Probabilistic flood extent estimates from social media flood observations

Brouwer, T., Eilander, D., Van Loenen, A., Booij, M. J., Wijnberg, K. M., Verkade, J. S. & Wagemaker, J. 19 May 2017 In : Natural Hazards and Earth System Sciences. 17, 5, p. 735-747 13 p.

Research output: Contribution to journalArticle

Open Access
flooding
social media
deforestation
urbanization
subsidence

Harvesting Social Media for Generation of Near Real-time Flood Maps

Eilander, D., Trambauer, P., Wagemaker, J. & Van Loenen, A. 2016 In : Procedia Engineering. 154, p. 176-183 8 p.

Research output: Contribution to journalArticle

Open Access
Disasters
Statistical methods
Managers
Sensors
Water

Predicting the ungauged basin: Model validation and realism assessment

van Emmerik, T., Mulder, G., Eilander, D., Piet, M. & Savenije, H. 9 Oct 2015 In : Frontiers in Earth Science. 3, 62

Research output: Contribution to journalArticle

Open Access
model validation
basin
data acquisition
catchment
traditional knowledge

Remotely sensed monitoring of small reservoir dynamics: A Bayesian approach

Eilander, D., Annor, F. O., Iannini, L. & van de Giesen, N. Feb 2014 In : Remote Sensing. 6, 2, p. 1191-1210 20 p.

Research output: Contribution to journalArticle

Open Access
monitoring
synthetic aperture radar
radar imagery
water storage
semiarid region