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Agentic Modelling Pipeline: Reproducible Rapid Stormwater Modelling Management System with OpenClaw

Agentic Modelling Pipeline: Reproducible Rapid Stormwater Modelling Management System with OpenClaw

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Authors

Zhonghao Zhang , Caterina Valeo

Abstract

Configuring urban hydrological models, such as SWMM, for operational or real-time modelling remains onerous for many models. We propose an Agentic SWMM workflow, which embeds ‘Skills’ and model context protocols to automate model configuration, execution, and extract and plot quantities of interest. To ensure that the entire Agentic SWMM workflow is auditable and reproducible, each run will create an independent manifest file that documents the SWMM version used, parameter mappings, input file hashes, and quality gate (e.g., continuity diagnostics). We demonstrate the workflow on the Tod Creek watershed (located on the Saanich Peninsula, British Columbia) and verified the equivalence between EPA SWMM® command line execution and model context protocol triggered SWMM execution, and between SWMM GUI workflow and the Agentic SWMM workflow. Validation was demonstrated through identical peak. The overall automation workflow (Skills and model context protocol setting), along with plotting services and evaluation protocols are available as Open Source to support a reproducible Agentic SWMM workflow triggered by natural language.

DOI

https://doi.org/10.31223/X5F47G

Subjects

Civil and Environmental Engineering, Civil Engineering, Computational Engineering, Engineering, Environmental Engineering, Hydraulic Engineering

Keywords

Hydrological Modelling, Agentic AI, SWMM, MCP

Dates

Published: 2026-03-18 03:04

Last Updated: 2026-03-18 03:04

License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
None

Data Availability:
https://github.com/Zhonghao1995/agentic-swmm-workflow

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