Flood forecasting in a highly developed urban area: a synergistic approach to pluvial and fluvial flooding using MIKE +
Md. Shahadat Hossain , Noshin Saiyara , Tarun Kanti Magumdar , Liton Chandra Mazumder , Shafiqul Islam , Md. Sazzad Hossain , Sarder Udoy Raihan , Mohammad Arifuzzaman Bhuyan , Shakil Ahmed , Kashif Mahmud , Syed Matiul Ahsan
Computational Urban Science ›› 2026, Vol. 6 ›› Issue (1) : 33
Dhaka, one of the world’s fastest-growing megacities, faces severe urban flood risks driven by rapid urbanization, inadequate drainage infrastructure, and climate change–induced extreme weather. This study develops an integrated urban flood forecasting system for a densely built-up area of Dhaka using the MIKE + hydrodynamic model. The system links hydrological and hydraulic modules to simulate the complex interactions among surface runoff (pluvial), river overflow (fluvial), drainage networks, and overland flow. Real-time data from rainfall, river gauge, and pump stations are incorporated to improve forecasting precision. Sensitivity analysis identified ten influential parameters, optimized during model calibration. Historical flood events from 2019–2022 were used for calibration and validation, yielding high performance with Nash–Sutcliffe Efficiency (NSE) above 0.70, R2 above 0.80 and Mean Absolute Error (MAE) below 0.1 m. The model’s robustness was further verified using major flood events in 2020 2021, 2022, 2024 and 2025 validated against flood marks and community reports and observed data. This advanced forecasting framework offers reliable early warnings and scenario simulations, strengthening decision-making and emergency response for flood-prone urban areas in Dhaka.
Urban Flood / MIKE + / Real-time flood forecasting / Hydrodynamic modeling / Pluvial flood / Fluvial flood / Hydrological modelling
| [1] |
|
| [2] |
Aerts, J., Botzen, W., Bowman, M., Dircke, P., & Ward, P. (2013). Climate Adaptation and Flood Risk in Coastal Cities (Earthscan Climate). Water Resources Research, 54. |
| [3] |
|
| [4] |
|
| [5] |
Akhter, S., Syed, I.M., Alam, M.S., Mallik, M., Hassan, S.Q., & Huque, S.M. (2017) Simulation of High Impact Monsoon Rainfall and its Thermodynamic Features over Bangladesh Using WRF Model. |
| [6] |
|
| [7] |
Alam, S., Jahan, S., & Noor, F. (2022). The surface water system, flood and water resources management of Bangladesh. Bangladesh Geosciences and Resources Potential, 467–546. |
| [8] |
|
| [9] |
Aljohani, F.H., Alkhodre, A.B., Sen, A.A.A., Ramazan, M.S., Alzahrani, B., & Siddiqui, M.S. (2023). Flood Prediction using Hydrologic and ML-based Modeling: A Systematic Review. International Journal of Advanced Computer Science & Applications, 14. https://doi.org/10.14569/ijacsa.2023.0141155. |
| [10] |
Baker, J.L. (2012). Climate change, disaster risk, and the urban poor: cities building resilience for a changing world; World Bank Publications. |
| [11] |
Bakhtiari, V., Piadeh, F., Chen, A.S., & Behzadian, K. (2023). Stakeholder analysis in the application of cutting-edge digital visualisation technologies for urban flood risk management: A critical review. Expert Systems with Applications, 121426. https://doi.org/10.1016/j.eswa.2023.121426. |
| [12] |
|
| [13] |
Bouramdane, A.-A. (2023). Enhancing disaster management in smart cities through MCDM-AHP analysis amid 21st century challenges. Information System and Smart City, 3. https://doi.org/10.59400/issc.v3i1.189. |
| [14] |
Ceenepalli, P., & Chandrasekhar, C. (2023). IoT-Enabled Flood Wall: Advancing Real-Time Flash Flood Monitoring and Forecasting. In Proceedings of the 2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS); pp. 1369–1376. |
| [15] |
Dasgupta, S., Zaman, A., Roy, S., Huq, M., Jahan, S., & Nishat, A. (2015). Urban Flooding of Greater Dhaka in a Changing Climate: Building local resilience to disaster risk; World Bank Publications. |
| [16] |
|
| [17] |
|
| [18] |
DHI, D.W.E. (2023). MIKE 21 & MIKE 3 Flow Model FM. |
| [19] |
DhiMIKE+ Collection System – User Manual, 2023DHI A/S |
| [20] |
DhiMIKE+ Hydrology and Rainfall–Runoff User Guide, 2023DHI A/S |
| [21] |
|
| [22] |
|
| [23] |
|
| [24] |
|
| [25] |
|
| [26] |
|
| [27] |
|
| [28] |
|
| [29] |
Khaleda, S., Mowla, Q.A., & Murayama, Y. (2017). Dhaka metropolitan area. Urban Development in Asia and Africa: Geospatial Analysis of Metropolises, 195–215. |
| [30] |
|
| [31] |
|
| [32] |
|
| [33] |
Mark, O., Apirumanekul, C., Kamal Mir, M., & Praydal, G. (2012). Modelling of Urban Flooding in Dhaka City. In Urban Drainage Modeling; Proceedings; pp. 333–343. |
| [34] |
Metcalf, Eddy, Abu-Orf, M., Bowden, G., Burton, F.L., Pfrang, W., Stensel, H.D., Tchobanoglous, G., Tsuchihashi, R., & AECOM. (2014). Wastewater engineering: treatment and resource recovery; McGraw Hill Education. |
| [35] |
MIKE. (2023). MIKE 21 & MIKE 3 Flow Model FM. |
| [36] |
Mishra, R. (2018). Dam Breach Parameters and its Effects on Propagation of Flood Wave at the Downstream of Sarabgarh Irrigation Project. |
| [37] |
moni Boruah, M.T. (2017). Development of 1d and 2d Hydrodynamic Flood Model Using Mike Software by Dhi”. https://doi.org/10.35629/5252-03086178. |
| [38] |
Novak, P., Moffat, A., Nalluri, C., & Narayanan, R. (2017). Hydraulic structures; CRC Press. |
| [39] |
|
| [40] |
|
| [41] |
Rahman, S. (2011). Households’ flood vulnerability assessment in context of climate change. University of Twente. |
| [42] |
|
| [43] |
Rahman, R., & Salehin, M. (2013). Flood risks and reduction approaches in Bangladesh. Disaster risk reduction approaches in Bangladesh, 65–90. |
| [44] |
Rahman, A.A., Alam, M., Alam, S.S., Uzzaman, M.R., Rashid, M., & Rabbani, G. (2007). Risks, vulnerability and adaptation in Bangladesh. Human Development Report, 8. |
| [45] |
|
| [46] |
|
| [47] |
|
| [48] |
|
| [49] |
|
| [50] |
|
| [51] |
|
| [52] |
Siddiqua, A. (2021). Development of integrated landscape framework at land-water interface for water sensitive urban design in the eastern fringe of Dhaka metropolitan area. |
| [53] |
|
| [54] |
|
| [55] |
|
| [56] |
|
| [57] |
Tawhid, K.G. (2004). Causes and effects of water logging in Dhaka City, Bangladesh. TRITA-LWR master thesis, Department of Land and Water Resource Engineering, Royal Institute of Technology, Stockholm. |
| [58] |
Timbadiya, P., Patel, P., & Porey, P. (2014). One-dimensional hydrodynamic modelling of flooding and stage hydrographs in the lower Tapi River in India. Current Science, 708–716. https://www.jstor.org/stable/24099969. |
| [59] |
|
| [60] |
Trenberth, K.E. (2005). The Impact of Climate Change and Variability on Heavy Precipitation, Floods, and Droughts. In Encyclopedia of Hydrological Sciences. |
| [61] |
Weltbank. (2015). Climate and Disaster Resilience of Greater Dhaka Area: A Micro Level Analysis. |
| [62] |
|
The Author(s)
/
| 〈 |
|
〉 |