Study on Response Capacity of Drainage Systems in Coastal Urban of Vietnam Under the Impact of Extreme Weather Events

Authors

  • Van Hong Nguyen

    Sub-institute of Hydrometeorology and Climate Change, Ho Chi Minh City 70000, Vietnam

  • Thanh Long Pham

    Sub-institute of Hydrometeorology and Climate Change, Ho Chi Minh City 70000, Vietnam

  • Thao Hien Nguyen

    Sub-institute of Hydrometeorology and Climate Change, Ho Chi Minh City 70000, Vietnam

  • Truong An Dang

    1. Department of Oceanology, Meteorology and Hydrology, University of Science, Ho Chi Minh City 70000, Vietnam; 2. Viet Nam National University, Ho Chi Minh City 70000, Vietnam

DOI:

https://doi.org/10.30564/jees.v7i6.9437
Received: 10 Mach 2025 | Revised: 28 April 2025 | Accepted: 10 May 2025 | Published Online: 10 June 2025

Abstract

Coastal cities in Vietnam face increasing urban flooding vulnerability due to climate change-induced extreme precipitation. This study evaluates the response capacity of urban drainage systems, using Vung Tau City as a case study. We employed a comprehensive approach, combining Intensity-Duration-Frequency (IDF) curve analysis with hydrodynamic modeling, to assess drainage performance under current and projected rainfall intensities. A significant rainfall event on June 19, 2020 (54.4 mm in 3 h, peaking at 42 mm/h), which exceeded the 5-year return period design (TCVN 7957:2008), caused widespread flooding (25-50 cm depths). Design rainfall hyetographs for 2, 5, and 10-year return periods (TCVN 7957:2008) were developed. Results show that under more extreme scenarios, flooded areas increase significantly, with depths up to 1.05 m in the 10-year scenario and prolonged durations due to stormwater routing through regulatory lakes. The analysis reveals the current infrastructure meets only 64% of the 5-year return period demands and merely 41% for a 10-year period. This research highlights the urgent need for enhanced flood management in Vung Tau and similar coastal cities, suggesting upgrades to drainage capacity, implementation of sustainable urban drainage systems, and improved early warning. These insights are valuable for developing climate-resilient infrastructure.

Keywords:

Urban Flooding; Drainage System; Extreme Rainfall; IDF Curve; Climate Change

References

[1] Emori, S., Brown, S.J., 2005. Dynamic and thermodynamic changes in mean and extreme precipitation under changed climate. Geophysical Research Letters. 32(17), L17706. DOI: https://doi.org/10.1029/2005GL023272

[2] Thanh, N.T., Remo, L.D.A., 2018. Projected changes of precipitation IDF curves for short duration under climate change in Central Vietnam. Hydrology. 5(3), 33. DOI: https://doi.org/10.3390/hydrology5030033

[3] Huong, H.T.L., Pathirana, A., 2013. Urbanization and climate change impacts on future urban flooding in Can Tho city, Vietnam. Hydrology and Earth System Sciences. 17(1), 379–394. DOI: https://doi.org/10.5194/hess-17-379-2013

[4] Qin, H., Li, Z., Fu, G., et al., 2013. The effects of low impact development on urban flooding under different rainfall characteristics. Journal of Environmental Management. 129, 577–585. DOI: https://doi.org/10.1016/j.jenvman.2013.08.026

[5] Yang, L., Tian, F., Niyogi, D., 2015. A need to revisit hydrologic responses to urbanization by incorporating the feedback on spatial rainfall patterns. Urban Climate. 12, 128–140.

[6] Ghanmi, H., Bargaoui, Z., Mallet, C., 2016. Estimation of intensity-duration-frequency relationships according to the property of scale invariance and regionalization analysis in a Mediterranean coastal area. Journal of Hydrology. 541, 38–49.

[7] Dang, T.A., 2020. Simulating rainfall IDF curve for flood warnings in the Ca Mau coastal area under the impacts of climate change. International Journal of Climate Change Strategies and Management. 12(5), 705–715.

[8] Botzen, W.J.W., Aerts, J.C.J.H., Van, D.B., 2009. Dependence of flood risk perceptions on socioeconomic and objective risk factors. Water Resources Research. 45(10), W10440. DOI: https://doi.org/10.1029/2009WR007743

[9] Al-Baldawi, T.H.K., Alzuabidi, Z.Z.A., 2016. Extreme value analysis of maximum rainfall data in Baghdad city. Mathematics and Statistics Journal. 2(3), 1–8.

[10] Şen, Z., 2019. Annual Daily Maximum Rainfall-Based IDF Curve Derivation Methodology. Earth Systems and Environment. 3, 463–469.

[11] Atreya, A., Ferreira, S., Kriesel, W., 2013. Forgetting the flood?: An analysis of the flood risk discount over time. Land Economics. 89(4), 577–596. DOI: https://doi.org/10.3368/le.89.4.577

[12] Melo de Almeida, L.P., Almar, R., Meyssignac, B., et al., 2018. Contributions to Coastal Flooding Events in Southeast of Vietnam and their link with Global Mean Sea Level Rise. Geosciences. 8(12), 437. DOI: https://doi.org/10.3390/geosciences8120437

[13] Logah, F.Y., Kankam, Y.K., Bekoe, E.O., 2013. Developing short duration rainfall intensity frequency curves for Accra in Ghana. International Journal of Latest Research in Engineering and Computing. 1(1), 67–73.

[14] Franz, F., Georgia, W.M., 2021. Pricing climate risk: Are flooding and sea level rise risk capitalised in Australian residential property? Climate Risk Management. 34, 100361. DOI: https://doi.org/10.1016/j.crm.2021.100361

[15] Patrick, W., Charles, G., Dennis, G., et al., 2019. Adaptation, Sea Level Rise, and Property Prices in the Chesapeake Bay Watershed. Land Economics. 95(1), 19–34. DOI: https://doi.org/10.3368/le.95.1.19

[16] Xu, H., Xu, K., Lian, J., et al., 2019. Compound effects of rainfall and storm tides on coastal flooding risk. Stochastic Environmental Research and Risk Assessment. 33, 1249–1261.

[17] Wang, J., Gao, W., Xu, S., et al., 2017. Effects of sea level rise, land subsidence, bathymetric change and typhoon tracks on storm flooding in the coastal areas of Shanghai. Science of The Total Environment. 621, 228–234. DOI: https://doi.org/10.1016/j.scitotenv.2017.11.224

[18] Cavanaugh, N.R., Gershunov, A., Panorska, A.K., et al., 2015. The probability distribution of intense daily precipitation. Geophysical Research Letters. 42(5), 1560–1567.

[19] Dakheel, A.A., 2017. Drawing curves of the rainfall intensity duration frequency (IDF) and assessment equation intensity rainfall for Nasiriyah City, Iraq. University of Thi-Qar Journal. 12(2), 63–82.

[20] Bilskie, M.V., Hagen, S.C., Medeiros, S.C., et al., 2014. Dynamics of sea level rise and coastal flooding on a changing landscape. Geophysical Research Letters. 41, 927–934. DOI: https://doi.org/10.1002/2013GL058759

[21] Nguyen, K.N.A., Tran, N.A., Nguyen, T.B., et al., 2022. Quantitative assessment of flood risks in Ba Ria–Vung Tau in the context of climate change. Journal of Hydrometeorology. 734(2), 63–77.

[22] Vivekanandan, N., 2013. Development of intensity-duration-frequency relationships using OSA estimators of probability distributions. Journal of Research in Architecture and Civil Engineering. 1(2), 1–7.

[23] Paola, F., Giugni, M., Topa, M., et al., 2014. Intensity-Duration-Frequency (IDF) rainfall curves, for data series and climate projection in African cities. SpringerPlus. 3, 1–18. DOI: https://doi.org/10.1186/2193-1801-3-133

[24] Vu, M.T., Raghavan, V.S., Liong, S.Y., 2017. Deriving short-duration rainfall IDF curves from a regional climate model. Natural Hazards. 85(3), 1877–1891.

[25] Le, T.H., Dao, T.D., Dinh, T.H.T., et al., 2025. Assessing the ability to drain rainwater in Thai Binh city and some solutions to reduce flooding for the study area. Journal of Hydrometeorology. 774, 64–75. DOI: 10.36335/VNJHM.2025(774).64-75

[26] Lee, H.S., 2013. Estimation of extreme sea levels along the Bangladesh coast due to storm surge and sea level rise using EEMD and EVA. Journal of Geophysical Research: Oceans. 118, 4273–4285. DOI: https://doi.org/10.1002/jgrc.20310

[27] Sun, Y., Wendi, D., Kim, D.E., et al., 2019. Deriving intensity–duration–frequency (IDF) curves using downscaled in situ rainfall assimilated with remote sensing data. Geoscience Letters. 6(1), 17. DOI: https://doi.org/10.1186/s40562-019-0147-x

[28] Minh, H.V.T., Lavane, K., Lanh, L.T., et al., 2022. Developing Intensity-Duration-Frequency (IDF) Curves Based on Rainfall Cumulative Distribution Frequency (CDF) for Can Tho City, Vietnam. Earth. 3(3), 866–880.

[29] Le, M.N., Tachikawa, Y., Sayama, T., et al., 2008. Development of regional rainfall intensity-duration-frequency curves based on scaling properties. Annual Journal of Hydraulic Engineering. 52, 85–90.

[30] Ho, C.T., Dang, T.A., 2021. Simulating rainfall intensity–duration–frequency curve towards establishing innundation maps in Camau peninsula. Journal of Hydrometeorology. 727, 33–43.

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How to Cite

Van Hong Nguyen, Thanh Long Pham, Thao Hien Nguyen, & Truong An Dang. (2025). Study on Response Capacity of Drainage Systems in Coastal Urban of Vietnam Under the Impact of Extreme Weather Events. Journal of Environmental & Earth Sciences, 7(6), 267–279. https://doi.org/10.30564/jees.v7i6.9437