Available Versions:
version 5.2.4
SWMM (Storm Water Management Model), developed by the U.S. EPA, is a widely used tool for simulating stormwater runoff, combined and sanitary sewer systems, and other drainage networks. It can perform both single-event and long-term simulations of hydrology, hydraulics, and water quality, including rainfall, runoff, infiltration, and pollutant transport.
With Inductiva, you can easily run hundreds of SWMM simulations simultaneously and slash your development time to a fraction.
Running your SWMM simulations on the Cloud is easy. All you need is to create a short Python script that points Inductiva to the simulation artifacts you have on your computer, and we will take it from there.
On the right, we show how to use the Inductiva API to send an SWMM simulation to a machine hosted on Google Cloud (GCP). You can copy paste this Python script and adapt it to your own case. Your simulation will start right away, without waiting in a queue.
"""SWMM example."""
import inductiva
# Allocate cloud machine on Google Cloud Platform
cloud_machine = inductiva.resources.MachineGroup( \
provider="GCP",
machine_type="c3d-highcpu-180")
# Initialize the Simulator
swmm = inductiva.simulators.SWMM(version="5.2.4")
# List of commands to run
commands = [
"runswmm model.inp model.rpt",
]
# Run simulation
task = swmm.run(\
input_dir="/Path/to/swmm-input-example",
commands=commands,
on=cloud_machine)
# Wait for the simulation to finish and download the results
task.wait()
cloud_machine.terminate()
task.download_outputs()
task.print_summary()
We've got 36 simulators ready for you to explore.
Just one click away from running your favorite open-source simulators on the cloud and at scale!
Why not give it a try? Explore our example codes and discover everything our API can offer.
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