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Jens de Bruijn

University of Amsterdam

Netherlands

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Research Interests

Hydrology

80%

Hydrogeology

30%

Water Resource Management

50%

Hydrometeorology

30%

Freshwater Ecology

20%

Surface Water

20%

Farming Systems

20%

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Articles18

Global determinants of coastal migration under climate change

Article Link

Year:

2025

Adaptive behavior of farmers under consecutive droughts results in more vulnerable farmers: a large-scale agent-based modeling analysis in the Bhima basin, India

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Year:

2025

Economic damage from natural hazards and internal migration in the United States

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Year:

2025

Content analysis of multi-annual time series of flood-related Twitter (X) data

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Year:

2025

Scenario projections of South Asian migration patterns amidst environmental and socioeconomic change

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Year:

2024

Exploring the limits and gaps of flood adaptation

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Year:

2024

Simulating the effects of sea level rise and soil salinization on adaptation and migration decisions in Mozambique

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Year:

2024

A global dataset of 7 billion individuals with socio-economic characteristics

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Year:

2024

Deep dive into hydrologic simulations at global scale

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Year:

2024

GEB v0.1: a large-scale agent-based socio-hydrological model – simulating 10 million individual farming households in a fully distributed hydrological model

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Year:

2023

A coupled agent-based model for France for simulating adaptation and migration decisions under future coastal flood risk

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Year:

2023

A coupled agent-based model to analyse human-drought feedbacks for agropastoralists in dryland regions

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Year:

2023

Water circles – a tool to assess and communicate the water cycle

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Year:

2023

Coupling a large-scale hydrological model (CWatM v1.1) with a high-resolution groundwater flow model (MODFLOW 6) to assess the impact of irrigation at regional scale

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Year:

2022

Hydrological concept formation inside long short-term memory (LSTM) networks

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Year:

2022

Using rapid damage observations for Bayesian updating of hurricane vulnerability functions: A case study of Hurricane Dorian using social media

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Year:

2022

The Asynergies of Structural Disaster Risk Reduction Measures: Comparing Floods and Earthquakes

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Year:

2021

Improving the classification of flood tweets with contextual hydrological information in a multimodal neural network

Article Link

Year:

2020

Collaborators17

M.W. Ingels

Vrije Universiteit Amsterdam

NETHERLANDS

Lena Reimann

University of Amsterdam

NETHERLANDS

Wouter Botzen

University of Amsterdam

NETHERLANDS

Jeroen C. J. H. Aerts

NETHERLANDS

Matti Kummu

Aalto University

FINLAND

Nadia Bloemendaal

University of Amsterdam

NETHERLANDS

Frans Berkhout

King’s College London

UNITED KINGDOM

Ileen Streefkerk

Vrije Universiteit Amsterdam

NETHERLANDS

Hans de Moel

University of Amsterdam

NETHERLANDS

Marthe Wens

University of Amsterdam

NETHERLANDS

Bart van den Hurk

University of Amsterdam

NETHERLANDS

Sarah Hanus

University of Zurich

SWITZERLAND

Kushagra Pandey

Vrije Universiteit Amsterdam

NETHERLANDS

Anne F. Van Loon

University of Amsterdam

NETHERLANDS

Toon Haer

University of Amsterdam

NETHERLANDS

S.J. Koopman

University of Amsterdam

NETHERLANDS

Jasper van Vliet

Associate Professor

VU Amsterdam

NETHERLANDS

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