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Evaluating the Impact of Climate Change on Future Bioretention Performance Across the Contiguous United States

https://doi.org/10.1016/j.jhydrol.2022.128771

Weathers, Matthew; Hathaway, Jon M.; Andrew Tirpak, R.; Khojandi, Anahita (November 2022, Journal of Hydrology)

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pystorms: A simulation sandbox for the development and evaluation of stormwater control algorithms

https://doi.org/10.1016/j.envsoft.2023.105635

Rimer, Sara P.; Mullapudi, Abhiram; Troutman, Sara C.; Ewing, Gregory; Bowes, Benjamin D.; Akin, Aaron A.; Sadler, Jeffrey; Kertesz, Ruben; McDonnell, Bryant; Montestruque, Luis; et al (April 2023, Environmental Modelling & Software)

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Building resiliency to climate change uncertainty through bioretention design modifications

https://doi.org/10.1016/j.jenvman.2021.112300

Tirpak, R. Andrew; Hathaway, Jon M.; Khojandi, Anahita; Weathers, Matthew; Epps, Thomas H. (June 2021, Journal of Environmental Management)
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Optimizing green infrastructure placement under precipitation uncertainty

https://doi.org/10.1016/j.omega.2020.102196

Barah, Masoud; Khojandi, Anahita; Li, Xueping; Hathaway, Jon; Omitaomu, OluFemi (January 2020, Omega)

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An agent based model for joint placement of PV panels and green roofs

https://doi.org/10.1109/WSC.2017.8247861

Li, Xueping; Ramshani, Mohammad; Khojandi, Anahita; Omitaomu, Olufemi; Hathaway, Jon Michael (December 2017, Proceedings of the 2017 Winter Simulation Conference)

Photovoltaic panels generate electricity directly from sunlight, making them a favored renewable technology. Green roofs are rooftops covered with vegetation, which provide a variety of benefits, namely, reducing stormwater runoff, improving air quality, and biodiversity. Green roofs are capable of improving the efficiency of Photovoltaic panels, as shown by the recent studies. Optimal placement of Photovoltaic panels and green roofs is a challenging problem due to the complications imposed by uncertainties associated with future climate conditions, specifically due to climate change. An agent based model to optimally place Photovoltaic panels and green roofs is developed in this study. We propose a tabu search metaheuristic algorithm to solve the developed model. Then, a real-world case for a mid-sized city in the U.S. is solved as a case study for the model. We further conduct numerical analysis and provide insights.
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