New to smart watersheds? Get the full picture.
Why nature is Florida’s best teacher for stormwater management.
The key ideas behind our Smart Watershed Network Management (SWNM), broken down for anyone managing water.
The tools, platform, and technical framework behind Smart Watershed Network Management (SWNM).
Read about what Alluvia is and why we created in in our cutsheet and FAQ
SWNM methodology: The conceptual and technical foundation for managing watersheds as coordinated networks.
SWMManywhere: A workflow for generation and sensitivity analysis of synthetic urban drainage models, anywhere
How machine learning and real-time modeling are being applied to stormwater systems — from background reading about the models, code, and data behind SWNM.
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 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
Deep reinforcement learning for the real time control of stormwater systems. Read more »
How SWNM is being demonstrated in the field.
Indian River Lagoon: Our pilot demonstrating SWNM at watershed scale — real sensors, real data, real outcomes.
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.
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.

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