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PySWMM: The Python Interface to Stormwater Management Model (SWMM)

Authors: Bryant McDonnell; Katherine Ratliff; Michael Tryby; Jennifer Wu; Abhiram Mullapudi;

PySWMM: The Python Interface to Stormwater Management Model (SWMM)

Abstract

This preprint (to be submitted to the Journal of Open Source Software) describes the need and use cases for PySWMM, the Python wrapper to the EPA Stormwater Management Model (SWMM). SWMM is a dynamic rainfall-runoff model that has been used for decades to conduct single event or long-term hydrologic, hydraulic, and water quality simulations. PySWMM interfaces with the Open Water Analytics SWMM5 API and allows Pythonic access to the SWMM data model, which enables users to interact with a model during simulation time and facilitates rapid prototyping, optimization, and results post-processing.

Keywords

OpenWaterAnalytics, SWMM, Stormwater, Hydraulics, Hydrology, Article

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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130
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