Skip to main content

GEB simulates the environment (e.g., hydrology, floods), the individual people, households and orginizations as well as their interactions at both small and large scale.

Project description

GEB (Geographical Environmental and Behavioural model) simulates the environment (e.g., hydrology, floods), the individual people, households and orginizations as well as their interactions at both small and large scale. The model does so through a "deep" coupling of an agent-based model a hydrological model, a vegetation model and a hydrodynamic model. You can find full documentation here.

The figure below shows a schematic overview of GEB.

Schematic model overview of GEB.

Cite as

Model framework

de Bruijn, J. A., Smilovic, M., Burek, P., Guillaumot, L., Wada, Y., and Aerts, J. C. J. H.: GEB v0.1: a large-scale agent-based socio-hydrological model – simulating 10 million individual farming households in a fully distributed hydrological model, Geosci. Model Dev., 16, 2437–2454, https://doi.org/10.5194/gmd-16-2437-2023, 2023.

Applications

Bril, V. C., de Bruijn, J., de Moel, H., Sadana, T., Busker, T., Botzen, W. J. W., & Aerts, J. C. J. H.: Assessing the effectiveness of nature-based solutions and building-level flood risk reduction measures: An open-source coupled Model. Water Resources Research, 62, e2025WR041436, https://doi.org/10.1029/2025WR041436, 2026.

Kalthof, M. W. M. L., de Bruijn, J., de Moel, H., Kreibich, H., and Aerts, J. C. J. H.: Adaptive behavior of farmers under consecutive droughts results in more vulnerable farmers: a large-scale agent-based modeling analysis in the Bhima basin, India, NHESS, https://doi.org/10.5194/nhess-25-1013-2025, 2025.

Building on the shoulders of giants

  1. Burek, Peter, et al. "Development of the Community Water Model (CWatM v1.04) A high-resolution hydrological model for global and regional assessment of integrated water resources management." (2019).
  2. Langevin, Christian D., et al. Documentation for the MODFLOW 6 groundwater flow model. No. 6-A55. US Geological Survey, 2017.
  3. Tierolf, Lars, et al. "A coupled agent-based model for France for simulating adaptation and migration decisions under future coastal flood risk." Scientific Reports 13.1 (2023): 4176.
  4. Streefkerk, Ileen N., et al. "A coupled agent-based model to analyse human-drought feedbacks for agropastoralists in dryland regions." Frontiers in Water 4 (2023): 1037971.
  5. Joshi, Jaideep, et al. "Plant-FATE-Predicting the adaptive responses of biodiverse plant communities using functional-trait evolution." EGU General Assembly Conference Abstracts. 2022.
  6. Leijnse, Tim, et al. "Modeling compound flooding in coastal systems using a computationally efficient reduced-physics solver: Including fluvial, pluvial, tidal, wind-and wave-driven processes." Coastal Engineering 163 (2021): 103796.

FAQ

How is GEB pronounced?

It’s pronounced as "geb" (/ɡɛb/), with the "g" as in "get" or "gate", aligning with how ancient Egyptians would have likely pronounced the name of their god of the Earth: Geb.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

geb-1.0.0b14.tar.gz (640.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

geb-1.0.0b14-py3-none-any.whl (707.8 kB view details)

Uploaded Python 3

File details

Details for the file geb-1.0.0b14.tar.gz.

File metadata

  • Download URL: geb-1.0.0b14.tar.gz
  • Upload date:
  • Size: 640.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.10.9 {"installer":{"name":"uv","version":"0.10.9","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for geb-1.0.0b14.tar.gz
Algorithm Hash digest
SHA256 28a8b5c4ecd0bf20c2f4910899816c13960eda45a5ecac0a58f77a053844b6b7
MD5 2ee20068acacccf056bc222480f42b65
BLAKE2b-256 951a1b7a6788136be7709972cf070c7d5f188a64c3e91c067c428c324cd28102

See more details on using hashes here.

Provenance

The following attestation bundles were made for geb-1.0.0b14.tar.gz:

Publisher: publish.yml on GEB-model/GEB

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file geb-1.0.0b14-py3-none-any.whl.

File metadata

  • Download URL: geb-1.0.0b14-py3-none-any.whl
  • Upload date:
  • Size: 707.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.10.9 {"installer":{"name":"uv","version":"0.10.9","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for geb-1.0.0b14-py3-none-any.whl
Algorithm Hash digest
SHA256 85835abbb836e3ed18239f4b6267459cbc0d5511f97a59049585f4803d5ef8a7
MD5 889a90babcebb5ea23f4bd507ba63af5
BLAKE2b-256 1cf604a10d75a2ee2d1b474c26d46e7d9eb93fbc1aba9aceae1c679af848ce8e

See more details on using hashes here.

Provenance

The following attestation bundles were made for geb-1.0.0b14-py3-none-any.whl:

Publisher: publish.yml on GEB-model/GEB

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page