@article{0343df6e7e354ec2b37ef2dc15509191,
title = "Assessing Impacts of Environmental Perturbations on Urban Biogenic Carbon Exchange in the Chicago Region",
abstract = "Carbon dioxide (CO2) quantification is critical for assessing city-level carbon emissions and sustainable urban development. While urban vegetation has the potential to provide environmental benefits, such as heat and carbon mitigation, the CO2 exchange from biogenic sectors and its impact from the environmental perturbations are often overlooked. It is also challenging to simulate the plant functions in the complex urban terrain. This study presents a processed-based modeling approach to assess the biogenic carbon fluxes from the vegetated areas over the Chicago Metropolitan Area (CMA) using the Weather Research and Forecast—Urban Biogenic Carbon exchange model. We investigate the change of CO2 sink power in CMA under heatwaves and irrigation. The results indicate that the vegetation plays a significant role in the city's carbon portfolio and the landscaping management has the potential to reduce carbon emissions significantly. Furthermore, based on the competing mechanisms in the biogenic carbon balance identified in this study, we develop a novel Environmental Benefit Score metrics framework to identify the vulnerability and mitigation measures associated with nature-based solutions (NbS) within CMA. By using the generalized portable framework and our science-policy confluence analysis presented in this study, global cities can maximize the effectiveness of NbS and accelerate carbon neutrality.",
keywords = "irrigation, land use, mitigation and adaptation, urban biogenic CO exchange, urban heat",
author = "Peiyuan Li and Ashish Sharma and Wang, {Zhi Hua} and Donald Wuebbles",
note = "This research is supported by the Walder Foundation, NSF award 139316 and 2230772, and National Aeronatics and Space Admistration award #80NSSC22K1683. This work is also supported by the U.S. Department of Energy, Office of Science, Biological and Environmental Research, under contract DE‐AC02‐06CH11357. We would like to acknowledge high‐performance computing support from Cheyenne ( https://doi.org/10.5065/D6RX99HX ) provided by NCAR's Computational and Information Systems Laboratory, sponsored by the National Science Foundation. CarbonTracker CT2019B results provided by NOAA ESRL, Boulder, Colorado, USA from the website at http://carbontracker.noaa.gov . We also acknowledge Metropolitan Mayors Caucus, NOAA, City of Chicago, and Chicago Metropolitan Agency for Planning for providing the data used in this study. This research is supported by the Walder Foundation, NSF award 139316 and 2230772, and National Aeronatics and Space Admistration award #80NSSC22K1683. This work is also supported by the U.S. Department of Energy, Office of Science, Biological and Environmental Research, under contract DE-AC02-06CH11357. We would like to acknowledge high-performance computing support from Cheyenne (https://doi.org/10.5065/D6RX99HX) provided by NCAR's Computational and Information Systems Laboratory, sponsored by the National Science Foundation. CarbonTracker CT2019B results provided by NOAA ESRL, Boulder, Colorado, USA from the website at http://carbontracker.noaa.gov. We also acknowledge Metropolitan Mayors Caucus, NOAA, City of Chicago, and Chicago Metropolitan Agency for Planning for providing the data used in this study.",
year = "2023",
month = oct,
doi = "10.1029/2023MS003867",
language = "English (US)",
volume = "15",
journal = "Journal of Advances in Modeling Earth Systems",
issn = "1942-2466",
publisher = "John Wiley & Sons, Ltd.",
number = "10",
}