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Peer-reviewedCC BY-NC-NDJournal of Hydrology

HydroCraft: an efficient online platform for hydrological modeling integrated with a large language model agent

  • Mahmut Tudaji1
  • Fuqiang Tian1
  • Xiannan Wu1
  1. 1State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China
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Abstract

Hydrological modeling is essential for water resources management but often requires specialized expertise, creating a significant barrier to its broad application. To address this challenge, we developed HydroCraft, a web-based platform designed to democratize the modeling process. HydroCraft provides a comprehensive and integrated workflow for basin extraction, driving data generation, parameter calibration, and result visualization, enabling rapid modeling for any watershed globally. Key features of the platform include: an adaptive watershed delineation method that optimizes the distribution of computational units based on user-defined sub-basin area thresholds; the integration of three hydrological models (THREW, Xin’anjiang, and Miyun Hydrological Model) suitable for diverse climatic and geological conditions; and the incorporation of a Large Language Model (LLM) agent, which serves as a robust assistant to provide guidance and automated task execution. Users only need a device with a web browser and an internet connection to perform advanced hydrologic simulations. Two case studies (user-driven vs. LLM-agent-assisted) demonstrated the platform’s efficiency and intelligence. The platform advances hydrological modeling toward greater intelligence and accessibility, providing support for applications such as water resource management and flood forecasting

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Cite

BibTeXRIS
BibTeX
@article{tudaji2026hydrocraft,
  title = {{HydroCraft: an efficient online platform for hydrological modeling integrated with a large language model agent}},
  author = {Mahmut Tudaji and Fuqiang Tian and Xiannan Wu},
  journal = {Journal of Hydrology},
  year = {2026},
  month = jun,
  doi = {10.1016/j.jhydrol.2026.135801},
  url = {https://doi.org/10.1016/j.jhydrol.2026.135801},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - HydroCraft: an efficient online platform for hydrological modeling integrated with a large language model agent
AU  - Mahmut Tudaji
AU  - Fuqiang Tian
AU  - Xiannan Wu
PY  - 2026
DA  - 2026/06/05
JO  - Journal of Hydrology
DO  - 10.1016/j.jhydrol.2026.135801
UR  - https://doi.org/10.1016/j.jhydrol.2026.135801
AB  - Hydrological modeling is essential for water resources management but often requires specialized expertise, creating a significant barrier to its broad application. To address this challenge, we developed HydroCraft, a web-based platform designed to democratize the modeling process. HydroCraft provides a comprehensive and integrated workflow for basin extraction, driving data generation, parameter calibration, and result visualization, enabling rapid modeling for any watershed globally. Key features of the platform include: an adaptive watershed delineation method that optimizes the distribution of computational units based on user-defined sub-basin area thresholds; the integration of three hydrological models (THREW, Xin’anjiang, and Miyun Hydrological Model) suitable for diverse climatic and geological conditions; and the incorporation of a Large Language Model (LLM) agent, which serves as a robust assistant to provide guidance and automated task execution. Users only need a device with a web browser and an internet connection to perform advanced hydrologic simulations. Two case studies (user-driven vs. LLM-agent-assisted) demonstrated the platform’s efficiency and intelligence. The platform advances hydrological modeling toward greater intelligence and accessibility, providing support for applications such as water resource management and flood forecasting
SN  - 0022-1694
SN  - 1879-2707
ER  -