A grey-box approach for the optimization of regulation structures used in urban-water conveyance systems

References

• Bellos, V., I. Nalbantis, and G. Tsakiris. 2018a. “Friction Modeling of Flood Flow Simulations.” Journal of Hydraulic Engineering 144 (12): 4018073. https://doi.org/10.1061/(ASCE)HY.1943-7900.0001540.
   Web of Science ®Google Scholar
• Bellos, V., I. Nalbantis, and G. Tsakiris. 2018b. “Friction Modeling of Flood Flow Simulations.” Journal of Hydraulic Engineering 144 (12): 4018073. https://doi.org/10.1061/(ASCE)HY.1943-7900.0001540.
   Web of Science ®Google Scholar
• Bhukya, R. K., M. Pandey, M. Valyrakis, and P. Michalis. 2022. “Discharge Estimation Over Piano Key Weirs: A Review of Recent Developments.” Water 14 (19): 3029. https://doi.org/10.3390/w14193029.
   Web of Science ®Google Scholar
• Briscoe, J. 2015. “Water Security in a Changing World.” Daedalus 144 (3): 27–34. https://doi.org/10.1162/DAED_a_00339.
   Web of Science ®Google Scholar
• Brunton, S. L., and J. N. Kutz. 2019. Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control. Cambridge University Press. https://doi.org/10.1017/9781108380690.
   Google Scholar
• Chanson, H. 2004. “Design of Weirs and Spillways.” In Hydraulics of Open Channel Flow, 391–430. Elsevier. https://doi.org/10.1016/B978-075065978-9/50027-1.
   Google Scholar
• Chaudhry, M. H. 2007. Open-Channel Flow. Springer US. https://books.google.gr/books?id=-vqD7cYhX1oC.
   Google Scholar
• Chen, W., D. Sharifrazi, G. Liang, S. S. Band, K. W. Chau, and A. Mosavi. 2022. “Accurate Discharge Coefficient Prediction of Streamlined Weirs by Coupling Linear Regression and Deep Convolutional Gated Recurrent Unit.” Engineering Applications of Computational Fluid Mechanics 16 (1): 965–976. https://doi.org/10.1080/19942060.2022.2053786.
   Web of Science ®Google Scholar
• Chow, V. T. 1959. Open-Channel Hydraulics, 680. New York, NY: McGraw-Hill.
   Google Scholar
• Clemmens, A. J., T. S. Strelkoff, and J. A. Replogle. 2003. “Calibration of Submerged Radial Gates.” Journal of Hydraulic Engineering 129 (9): 680–687. https://doi.org/10.1061/(ASCE)0733-9429(2003)129:9(680).
   Web of Science ®Google Scholar
• Corps, U. A. of E. 1990. “Hydraulic Design of Spillways.” https://www.publications.usace.army.mil/portals/76/publications/engineermanuals/em_1110-2-1603.pdf.
   Google Scholar
• Dawson, C. W., and R. L. Wilby. 2001. “Hydrological Modelling Using Artificial Neural Networks.” Progress in Physical Geography: Earth and Environment 25 (1): 80–108. https://doi.org/10.1177/030913330102500104.
   Google Scholar
• Efstratiadis, A., and D. Koutsoyiannis. 2010. “One Decade of Multi-Objective Calibration Approaches in Hydrological Modelling: A Review.” Hydrological Sciences Journal 55 (1): 58–78. https://doi.org/10.1080/02626660903526292.
   Web of Science ®Google Scholar
• Efstratiadis, A., N. Mamassis, G.-K. Sakki, I. Tsoukalas, P. Kossieris, P. Dimas, and N. Pelekanos. 2022. “Master Plan of the Athens Water Resource System — Hydrological Year 2021–22, Modernization of the Management of the Water Supply System of Athens – Update.”
   Google Scholar
• Ferro, V. 2000. “Simultaneous Flow Over And Under A Gate.” JOURNAL of IRRIGATION and DRAINAGE ENGINEERING 126 (3): 190–193. https://doi.org/10.1061/(ASCE)0733-9437(2000)126:3(190).
   Web of Science ®Google Scholar
• Ferziger, J. H., and M. Perić. 2002. Computational Methods for Fluid Dynamics. Berlin Heidelberg: Springer. https://doi.org/10.1007/978-3-642-56026-2.
   Google Scholar
• Garcia, M., A. Juan, J. Doss-Gollin, and P. Bedient. 2023. “Leveraging Mesh Modularization to Lower the Computational Cost of Localized Updates to Regional 2D Hydrodynamic Model Outputs.” Engineering Applications of Computational Fluid Mechanics 17 (1). https://doi.org/10.1080/19942060.2023.2225584.
   Web of Science ®Google Scholar
• Henderson, F. M. 1966. Open Channel Flow. London, England: Prentice-Hall.
   Google Scholar
• Henry, R. 1950. ‘Closure to “Albertson-Dai-Jensen-Rouse on Submerged Jets’.” Transactions of the American Society of Civil Engineers 115 (1): 694–697. https://doi.org/10.1061/TACEAT.0006301.
   Google Scholar
• Kabiri-Samani, A., and A. Javaheri. 2012. “Discharge Coefficients for Free and Submerged Flow Over Piano Key Weirs.” Journal of Hydraulic Research 50 (1): 114–120. https://doi.org/10.1080/00221686.2011.647888.
   Web of Science ®Google Scholar
• Kavvadas, I. 2021. Economic Data Related to the Implementation of the WFD and the FD and the Financing of Measures: Final Report. Publications Office. https://doi.org/10.2779/163850.
   Google Scholar
• Khatsuria, R. M. 2004. Hydraulics of Spillways and Energy Dissipators. Boca Raton, FL: CRC Press. https://doi.org/10.1201/9780203996980.
   Google Scholar
• Kirkpatrick, S., C. D. Gelatt, and M. P. Vecchi. 1983. “Optimization by Simulated Annealing.” Science 220 (4598): 671–680. https://doi.org/10.1126/science.220.4598.671.
   PubMed Web of Science ®Google Scholar
• Kossieris, P., C. Pantazis, V. Bellos, and C. Makropoulos 2022. “FIWARE-Enabled Smart Solution for the Optimal Management and Operation of Raw-Water Supply Hydraulic Works.” https://www.fiware.org/.
   Google Scholar
• Koutsoyiannis, D., G. Karavokiros, A. Efstratiadis, N. Mamassis, A. Koukouvinos, and A. Christofides. 2003. “A Decision Support System for the Management of the Water Resource System of Athens.” Physics and Chemistry of the Earth, Parts A/B/C 28 (14–15): 599–609. https://doi.org/10.1016/S1474-7065(03)00106-2.
   Web of Science ®Google Scholar
• Kroll, A. 2000. “.” New Frontiers in Computational Intelligence and Its Applications, 42–51. Vol. 57. Amsterdam, NY: IOS Press.
   Google Scholar
• Lai, V., Y. F. Huang, C. H. Koo, A. N. Ahmed, and A. El-Shafie. 2021. “Optimization of Reservoir Operation at Klang Gate Dam Utilizing a Whale Optimization Algorithm and a Lévy Flight and Distribution Enhancement Technique.” Engineering Applications of Computational Fluid Mechanics 15 (1): 1682–1702. https://doi.org/10.1080/19942060.2021.1982777.
   Web of Science ®Google Scholar
• Lozano, D., L. Mateos, G. P. Merkley, and A. J. Clemmens. 2009. “Field Calibration of Submerged Sluice Gates in Irrigation Canals.” Journal of Irrigation & Drainage Engineering 135 (6): 763–772. https://doi.org/10.1061/(ASCE)IR.1943-4774.0000085.
   Web of Science ®Google Scholar
• Makropoulos, C., D. Nikolopoulos, L. Palmen, S. Kools, A. Segrave, D. Vries, S. Koop, et al. 2018. “A resilience assessment method for urban water systems.” Urban Water Journal 15 (4): 316–328. https://doi.org/10.1080/1573062X.2018.1457166.
   Web of Science ®Google Scholar
• Makropoulos, C., and D. A. Savić. 2019. “Urban Hydroinformatics: Past, Present and Future.” Water 11 (10): 1959. https://doi.org/10.3390/w11101959.
   Web of Science ®Google Scholar
• Paulo, C.F. Erbisti. 2014. Design of Hydraulic Gates, 434. 2nd ed. Boca Raton, FL: CRC Press .
   Google Scholar
• Rady, R. A. E.-H. 2016. “Modeling of Flow Characteristics Beneath Vertical and Inclined Sluice Gates Using Artificial Neural Networks.” Ain Shams Engineering Journal 7 (2): 917–924. https://doi.org/10.1016/j.asej.2016.01.009.
   Web of Science ®Google Scholar
• Rajaratnam, N., and K. Subramanya. 1967a. “Flow Equation for the Sluice Gate.” Journal of the Irrigation and Drainage Division 93 (3): 167–186. https://doi.org/10.1061/JRCEA4.0000503.
   Google Scholar
• Rajaratnam, N., and K. Subramanya. 1967b. “Flow Immediately Below Submerged Sluice Gate.” Journal of the Hydraulics Division 93 (4): 57–77. https://doi.org/10.1061/JYCEAJ.0001667.
   Google Scholar
• Sauida, M. F. 2014. “Calibration of submerged multi-sluice gates.” Alexandria Engineering Journal 53 (3): 663–668. https://doi.org/10.1016/j.aej.2014.04.008.
   Google Scholar
• Seshan, S., D. Vries, M. van Duren, A. van der Helm, and J. Poinapen. 2023. “AI-Based Validation of Wastewater Treatment Plant Sensor Data Using an Open Data Exchange Architecture.” IOP Conference Series: Earth and Environmental Science 1136 (1): 12055. https://doi.org/10.1088/1755-1315/1136/1/012055.
   Google Scholar
• States, U. 1987. “Design of Small Dams.” In Water Resources Technical Publication TA - TT -, 3rd ed. United States Government Printing Office. https://worldcat.org/title/17732162.
   Google Scholar
• Sun, X., Y. Bi, H. Karami, S. Naini, S. S. Band, and A. Mosavi. 2021. “Hybrid Model of Support Vector Regression and Fruitfly Optimization Algorithm for Predicting Ski-Jump Spillway Scour Geometry.” Engineering Applications of Computational Fluid Mechanics 15 (1): 272–291. https://doi.org/10.1080/19942060.2020.1869102.
   Web of Science ®Google Scholar
• Swamee, P. K. 1992. “Sluice‐Gate Discharge Equations.” Journal of Irrigation & Drainage Engineering 118 (1): 56–60. https://doi.org/10.1061/(ASCE)0733-9437(1992)118:1(56).
   Web of Science ®Google Scholar
• Taleb, N. N. 2007. “The Black Swan: The Impact of the Highly Improbable.” In Business Book Summary TA - TT -, 1st ed. Random House. https://worldcat.org/title/71833470.
   Google Scholar
• Tao, H., M. Jamei, I. Ahmadianfar, K. M. Khedher, A. A. Farooque, and Z. M. Yaseen. 2022. “Discharge Coefficient Prediction of Canal Radial Gate Using Neurocomputing Models: An Investigation of Free and Submerged Flow Scenarios.” Engineering Applications of Computational Fluid Mechanics 16 (1): 1–19. https://doi.org/10.1080/19942060.2021.2002721.
   Web of Science ®Google Scholar
• Toreti, A., D. Bavera, J. Acosta Navarro, A. De Jager, G. Fioravanti, A. Hrast Essenfelder, W. Maetens, et al. 2023. “Drought in Europe March 2023. KJ-NA-31-448-EN-N (online).” https://doi.org/10.2760/998985.
   Google Scholar
• Toreti, A., D. Masante, J. Acosta Navarro, D. Bavera, C. Cammalleri, A. De Jager, C. Di Ciollo, et al. 2022. “Drought in Europe July 2022. KJ-NA-31-147-EN-N (online).” https://doi.org/10.2760/014884.
   Google Scholar
• United Nations. 2022. The Sustainable Development Goals Report. https://unstats.un.org/sdgs/report/2022/.
   Google Scholar
• Vamvakeridou-Lyroudia, L., and H. Gionanopoulos. 1999. “An Original Real Time Expert Model for the Operation and Control of the Water Supply Aqueduct of the Greater Athens Area, Using Fuzzy Reasoning and Computer Assisted Learning.” Novel Design and Information Technology Applications for Civil and Structural Engineering 205–213.
   Google Scholar
• Wang, H., M. J. Bah, and M. Hammad. 2019. “Progress in Outlier Detection Techniques: A Survey.” Institute of Electrical and Electronics Engineers Access 7:107964–108000. https://doi.org/10.1109/ACCESS.2019.2932769.
   Google Scholar
• Wu, S., and N. Rajaratnam. 2015. “Solutions to Rectangular Sluice Gate Flow Problems.” Journal of Irrigation & Drainage Engineering 141 (12). https://doi.org/10.1061/(ASCE)IR.1943-4774.0000922.
   Web of Science ®Google Scholar