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Upstream Reservoirs and Downstream Flood Risk: A Review with a Dong Nai–Sai Gon Case Perspective

4 hours ago
2 min read
Upstream reservoirs, downstream flood risk on the Dong Nai–Sai Gon. A review co-authored by Dung Duc Tran and colleagues traces reservoir operation's shift toward adaptive, forecast-informed approaches, and finds that spatial inundation metrics and compound flood drivers are still rarely built into optimization frameworks. Dung Duc Tran (HAPRI Senior Research Associate) et al. Illustrative photograph: in a riverside lane on a tide-influenced Vietnamese floodplain, a middle-aged man and a teenager slot a wooden flood board into a house doorway as shallow brown water spreads around them, with a moored boat and a wide river under an overcast sky behind.

Upstream Reservoirs and Downstream Flood Risk: A Review with a Dong Nai–Sai Gon Case Perspective

A review co-authored by Dung Duc Tran (HAPRI Senior Research Associate), Nguyen Duc Thien, Nguyen Thi Thuy Hang and Do Quang Linh brings together research on reservoir operation, hydrodynamic flood modelling and optimization frameworks for downstream flood risk management. It identifies a critical knowledge gap: spatial flood inundation metrics and compound flood drivers remain rarely incorporated into optimization frameworks.


Context

Flood risk management is increasingly challenged by climate change, rapid urbanization, and the growing complexity of hydrological systems. Reservoirs play a vital role in flood mitigation. However, the authors note that traditional rule-curve operations based on historical stationarity are becoming inadequate under non-stationary and compound flood conditions.


Better tools, and a critical knowledge gap
Better tools, and a critical knowledge gap

Methods

The review draws on literature published between 2000 and 2025 and classifies existing studies into four thematic areas: reservoir operation strategies, hydrodynamic modelling, optimization methods, and compound flooding processes. The authors then take the Dong Nai–Sai Gon river basin as a representative tropical, tide-influenced system as a case perspective. The paper is posted as a preprint on EGUsphere.


Key findings

  • The review reveals a shift from static rule-based operations toward adaptive, forecast-informed and data-driven approaches that improve flood control performance and reduce peak discharge.

  • Coupled 1D–2D hydrodynamic models better capture floodplain dynamics, while evolutionary algorithms and reinforcement learning support efficient multi-objective optimization.

  • A critical knowledge gap persists: spatial flood inundation metrics and compound flood drivers remain rarely incorporated into optimization frameworks.

  • Using the Dong Nai–Sai Gon river basin as a representative tropical, tide-influenced system, the authors propose an integrated framework linking reservoir operations, hydrodynamic simulation and compound flooding processes.


How the review was done
How the review was done

Keywords:

  • Reservoir Operation

  • Flood Risk Management

  • Hydrodynamic Modelling

  • Compound Flooding

  • Multi-objective Optimization

  • Dong Nai–Sai Gon River Basin


Link:


Citation:

Tran, D. D., Thien, N. D., Hang, N. T. T., & Linh, D. Q. (2026). Review article: Upstream reservoir operation and downstream floodplain risk: A review of hydrodynamic modelling and optimization frameworks and case perspective on the Dong Nai–Sai Gon river basin. EGUsphere (preprint).

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