Multi-source data-driven estimation of maximum carrying capacity of urban water storage facilities under extreme conditions

[1] Coda, S., Tufano, R., Calcaterra, D., Colantuono, P., De, V. P., & Di, N. M., et al. (2023). Groundwater flooding hazard assessment in a semi-urban aquifer through probability modelling of surrogate data. Journal of Hydrology. Search in Google Scholar

[2] Czajkowski, J., Engel, V., Martinez, C., Mirchi, A., & Hughes, J. D. (2017). Economic impacts of urban flooding in south florida: potential consequences of managing groundwater to prevent salt water intrusion. Science of The Total Environment, 621, 465-478. Search in Google Scholar

[3] Liang, X., Zhan, H., & Schilling, K. (2018). Spatiotemporal responses of groundwater flow and aquifer-river exchanges to flood events. Water Resources Research, 54(3), 1513-1532. Search in Google Scholar

[4] Wasko, C., & Sharma, A. (2017). Global assessment of flood and storm extremes with increased temperatures. Scientific Reports, 7(1), 7945. Search in Google Scholar

[5] Yazdi, J. (2018). Water quality monitoring network design for urban drainage systems, an entropy method. Urban Water Journal, 15(3-4), 227-233. Search in Google Scholar

[6] Viviana, Pappalardo, Daniele, La, Rosa, & Alberto, et al. (2017). The potential of green infrastructure application in urban runoff control for land use planning: a preliminary evaluation from a southern italy case study. Ecosystem Services. Search in Google Scholar

[7] Macedo, M. B. D., Rosa, A., César Ambrogi Ferreira do Lago, Mendiondo, E. M., & Souza, V. C. B. D. (2017). Learning from the operation, pathology and maintenance of a bioretention system to optimize urban drainage practices. Journal of Environmental Management. Search in Google Scholar

[8] Palmitessa, R., Mikkelsen, P. S., Law, A. W. K., & Borup, M. (2020). Data assimilation in hydrodynamic models for system-wide soft sensing and sensor validation for urban drainage tunnels. Journal of Hydroinformatics(February 2017). Search in Google Scholar

[9] Zhang, H., Wu, W., Hu, C., Hu, C., & Liu, S. (2021). A distributed hydrodynamic model for urban storm flood risk assessment. Journal of Hydrology(1–2), 126513. Search in Google Scholar

[10] Robert, B., Vassilis, G., & Chris, K. (2017). Urban flood simulation using synthetic storm drain networks. Water, 9(12), 925. Search in Google Scholar

[11] Dong, X., Guo, H., & Zeng, S. (2017). Enhancing future resilience in urban drainage system: green versus grey infrastructure. Water Research, 124, 280. Search in Google Scholar

[12] Oberascher, M., Kinzel, C., Kastlunger, U., Kleidorfer, M., Zingerle, C., & Rauch, W., et al. (2021). Integrated urban water management with micro storages developed as an iot-based solution – the smart rain barrel - sciencedirect. Environmental Modelling & Software. Search in Google Scholar

[13] Hill, M. J., Biggs, J., Thornhill, I., Briers, R. A., Gledhill, D. G., & White, J. C., et al. (2017). Urban ponds as an aquatic biodiversity resource in modified landscapes. Global Change Biology. Search in Google Scholar

[14] Hesarkazzazi, S., Bakhshipour, A. E., Hajibabaei, M., Dittmer, U., Haghighi, A., & Sitzenfrei, R. (2022). Battle of centralized and decentralized urban stormwater networks: from redundancy perspective. Water research, 222, 118910. Search in Google Scholar

[15] Yazdi, J. (2019). Optimal operation of urban storm detention ponds for flood management. Water Resources Management(6). Search in Google Scholar

[16] He, S. Z. L. (2021). A stress test of urban system flooding upon extreme rainstorms in hong kong. Journal of Hydrology, 597(1). Search in Google Scholar

[17] Rabori, A. M., & Ghazavi, R. (2018). Urban flood estimation and evaluation of the performance of an urban drainage system in a semi-arid urban area using swmm. Water Environment Research, 90(DEC.), 2075-2082. Search in Google Scholar

[18] Zhou, Q., Leng, G., Su, J., & Ren, Y. (2019). Comparison of urbanization and climate change impacts on urban flood volumes: importance of urban planning and drainage adaptation. Science of The Total Environment, 658, 24-33. Search in Google Scholar

[19] Jamali, B., Lwe, R., Bach, P. M., Urich, C., & Deletic, A. (2018). A rapid urban flood inundation and damage assessment model. Journal of Hydrology, 564. Search in Google Scholar

[20] Xia, J., Dong, B., Zhou, M., Ahmadian, R., Falconer, R. A., & Li, Q., et al. (2022). A unified formula for discharge capacity of street inlets for urban flood management. Journal of Hydrology, 609, 127667-. Search in Google Scholar

[21] Chen, W., Wu, H., Kimball, J. S., Alfieri, L., Nanding, N., & Li, X., et al. (2022). A coupled river basin-urban hydrological model (drive-urban) for real-time urban flood modeling. Water Resources Research. Search in Google Scholar