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Lookup NU author(s): Dr Chris Iliadis, Dr Vassilis GlenisORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2025 by the authors. Pluvial flooding, driven by increasingly impervious surfaces and intense storm events, presents a growing challenge for urban areas worldwide. In Baltimore City, MD, USA, climate change, rapid urbanization, and aging stormwater infrastructure are exacerbating flooding impacts, resulting in significant socio-economic consequences. This study evaluated the effectiveness of a soil profile rehabilitation scenario using a 2D hydrodynamic modeling approach for the Tiffany Run watershed, Baltimore City. This study utilized different extreme storm events, a high-resolution (1 m) LiDAR Digital Terrain Model (DTM), building footprints, and hydrological soil data. These datasets were integrated into a fully coupled 2D hydrodynamic model, the City Catchment Analysis Tool (CityCAT), to simulate urban flood dynamics. The pre-soil rehabilitation simulation revealed a maximum water depth of 3.00 m in most areas, with hydrologic soil groups C and D, especially downstream of the study area. The post-soil rehabilitation simulation was targeted at vacant lots and public parcels, accounting for 33.20% of the total area of the watershed. This resulted in a reduced water depth of 2.50 m. Additionally, the baseline runoff coefficient of 0.49 decreased to 0.47 following the rehabilitation, and the model consistently recorded a peak runoff reduction rate of 4.10 across varying rainfall intensities. The validation using a contingency matrix demonstrated true-positive rates of 0.75, 0.50, 0.64, and 0 for the selected events, confirming the model’s capability at capturing real-world flood occurrences.
Author(s): Atayi J, Zhou X, Iliadis C, Glenis V, Kang D, Sheng Z, Quansah J, Hunter JG
Publication type: Article
Publication status: Published
Journal: Hydrology
Year: 2025
Volume: 12
Issue: 3
Online publication date: 26/02/2025
Acceptance date: 21/02/2025
Date deposited: 09/04/2025
ISSN (electronic): 2306-5338
Publisher: MDPI
URL: https://doi.org/10.3390/hydrology12030044
DOI: 10.3390/hydrology12030044
Data Access Statement: Details on the sources of the data used in this study are mentioned in the data collection section. Further guidance on data access is available upon request from the corresponding author.
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