UVAdMIST

swmm_mpc

Python package for model predictive control (MPC) for EPASWMM5 models

swmm_wq_rl

This repository contains python codes and SWMM models to develop real-time control policies for the stormwater system in the Hague area of Norfolk, Virginia.

Norfolk_Groundwater_Model

This repository contains scripts to model and forecast shallow groundwater table level in Norfolk, VA with artificial neural networks.

smart_stormwater_swmm_models

SWMM5 models for studying active stormwater control

swmm_rl

Repo for SWMM RL code

stormwater-iot

An IoT application for visualizing flooding in Norfolk, Virginia

smart_stormwater_rl

Repository for control of stormwater systems using reinforcement learning

dMIST_website

dMIST Website

grafana_data_viz

This repository has scripts to collect data and push it to a db for visualization with Grafana.

hr_db_scripts

Norfolk_Flood_Modeling

Exploring the use of machine learning for flood forecasting in Norfolk, VA

uvadmist.github.io

hosts public website

pyswmm

Python Wrappers for SWMM

Reputation_System_for_Crowdsourced_Rainfall_Networks-RSCRN-

rl-storm-control

Source code and data used in the Deep Reinforcement Learning for the Real Time Control of Stormwater Systems paper

Soil_moisture_and_Rainfall_sensing

Soil moisture probes, tipping buckets, and radio transmitters