@article{68102866d43642f39c0db5fc5a52bc51,
title = "Rhodium-SWMM: An open-source tool for green infrastructure placement under deep uncertainty",
abstract = "Green Infrastructure (GI) measures are increasingly used for climate adaptation in urban areas, but it remains a challenge to evaluate their effectiveness and strategically allocate investment. Planning GI is subject to deep uncertainties and requires navigating tradeoffs between multiple objectives. Many-Objective Robust Decision Making (MORDM) can be useful in addressing these modeling challenges. Thus far, MORDM has been used sparsely for GI planning. To help mainstream MORDM applications in GI planning, we developed an open-source Python library: Rhodium-SWMM. Rhodium-SWMM connects the USEPA's Stormwater Management Model (SWMM) to Rhodium, a Python library for MORDM. Rhodium-SWMM provides a generalizable and flexible interface for taking SWMM input files and setting up a multi-objective optimization problem with the ability to define a wide range of parameters in the SWMM input file as uncertainties or levers. This opens opportunities to more conveniently analyze new research questions in multi-scale GI placement under deep uncertainty.",
author = "Nastaran Tebyanian and Jordan Fischbach and Robert Lempert and Debra Knopman and Hong Wu and Lisa Iulo and Klaus Keller",
note = "Funding Information: This study was supported by The RAND Frederick S. Pardee Center for Longer Range Global Policy and the Future Human Condition, Mid-Atlantic Regional Integrated Sciences and Assessments (MARISA), Penn State Initiative for Resilient Community (PSIRC), Penn State Center for Climate Risk Management, Hamer Center for Community Design, and the Thayer School of Engineering at Dartmouth College. We thank George Rossick for his invaluable contribution to software development and usability, Sitara Baboolal for replicating the code on Linux, Windows, and Mac machines, and members of the Keller Research Group for their feedback throughout research design and development. N.T and K.K designed the research; J.F, R.L, D.K, H.W, L.D.I, and K.K helped with the research development; N.T developed the software and performed the analysis; N.T wrote the paper; J.F, R.L, H.W, L.D.I, and K.K helped with editing and revising the paper; H.W guided writing revisions. Funding Information: This study was supported by The RAND Frederick S. Pardee Center for Longer Range Global Policy and the Future Human Condition, Mid-Atlantic Regional Integrated Sciences and Assessments (MARISA) , Penn State Initiative for Resilient Community (PSIRC) , Penn State Center for Climate Risk Management , Hamer Center for Community Design , and the Thayer School of Engineering at Dartmouth College . We thank George Rossick for his invaluable contribution to software development and usability, Sitara Baboolal for replicating the code on Linux, Windows, and Mac machines, and members of the Keller Research Group for their feedback throughout research design and development. Publisher Copyright: {\textcopyright} 2023 Elsevier Ltd",
year = "2023",
month = may,
doi = "10.1016/j.envsoft.2023.105671",
language = "English (US)",
volume = "163",
journal = "Environmental Modelling and Software",
issn = "1364-8152",
publisher = "Elsevier BV",
}
