Resources

Start here

New to smart watersheds? Get the full picture.

What nature can teach us about stormwater

Why nature is Florida’s best teacher for stormwater management.

Explore the smart watershed approach

The key ideas behind our Smart Watershed Network Management (SWNM), broken down for anyone managing water.

Go deeper

The tools, platform, and technical framework behind Smart Watershed Network Management (SWNM).

Alluvia, our open-source gateway to build, host, iterate, and scale smart watershed tools

Read about what Alluvia is and why we created in in our cutsheet and FAQ

Technical framework

SWNM methodology: The conceptual and technical foundation for managing watersheds as coordinated networks.

Publications

SWMManywhere: A workflow for generation and sensitivity analysis of synthetic urban drainage models, anywhere

Artificial Intelligence / Machine Learning Resources

How machine learning and real-time modeling are being applied to stormwater systems — from background reading about the models, code, and data behind SWNM.

Digital twins and predictive modeling

A digital twin model for contaminant fate and transport in urban and natural drainage networks. Read more »

Model predictive control of stormwater basins coupled with real-time data assimilation enhances flood mitigation. Read more »

Design, deployment, and evaluation of a stormwater digital twin model for an urban watershed. Read more »

Graph neural networks for hydraulic prediction

Graph neural network-based surrogate modelling for real-time hydraulic prediction of urban drainage networks. Read more »

Transferable and data efficient metamodeling of storm water system nodal depths using auto-regressive graph neural networks. Read more »

Dataset: SWMM simulations for the metamodeling study

Code: SWMM GNN metamodel repository and on GitHub

Reinforcement learning for real-time control

Deep reinforcement learning for the real time control of stormwater systems. Read more »

Source code

Tools & further reading

Open-source software and labs doing related work. Pystorms » Digital Water Lab — publications » Future Water — publications »

See it in practice

How SWNM is being demonstrated in the field.

Pilot

Indian River Lagoon: Our pilot demonstrating SWNM at watershed scale — real sensors, real data, real outcomes.

Get Involved

Access Alluvia and tell us what you think!

The Alluvia Suite is free and openly published. Explore the code, data standards, and control logic — and contribute to their improvement.

Get in touch

Working on stormwater infrastructure and want to learn more?

We’d like to hear from you — whether you’re a public agency, municipality, researcher, regulator, or private company.