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Modeling the role of reservoirs versus floodplains on large-scale river hydrodynamics

Author

Listed:
  • Ayan Fleischmann

    (Universidade Federal do Rio Grande do Sul)

  • Walter Collischonn

    (Universidade Federal do Rio Grande do Sul)

  • Rodrigo Paiva

    (Universidade Federal do Rio Grande do Sul)

  • Carlos Eduardo Tucci

    (Universidade Federal do Rio Grande do Sul)

Abstract

Large-scale hydrologic–hydrodynamic models are powerful tools for integrated water resources evaluation at the basin scale, especially in the context of flood hazard assessment. However, recent model developments have paid little attention to simulate reservoirs’ hydrodynamics within river networks. This study presents an adaptation of the MGB model to simulate reservoirs as an internal boundary condition, enabling the explicit simulation of hydrodynamic processes along reservoirs and their interaction with upstream and downstream floodplains in large basins. A case study is carried out in the Itajaí-Açu River Basin in Brazil, which has periodic flood-related disasters and three flood control dams. The model was calibrated for the 1950–2016 period forced with daily observed precipitation. The adjustment was satisfactory, with Nash–Sutcliffe metrics between 0.54 and 0.84 for the 11 gauges analyzed and with flood frequency curves also well represented. Simulation scenarios with and without floodplains and reservoirs were performed to evaluate the relative role of these factors on flood control basin-wide through evaluation of simulated discharges, water levels and flood extent. Itajaí do Oeste tributary and Itajaí-Açu mainstem present major floodplain attenuation, while in Itajaí do Sul and Itajaí do Norte tributaries the main flood control occurs due to reservoir attenuation. Downstream from the dams, results indicated that the reservoirs reach their maximum discharge reduction capacity for 5- to 10-year floods, decreasing it for larger floods. The developed model may be very useful for operational uses as flood forecasting and coordinated reservoir operation studies, as well as to enhance the comprehension of flood dynamics at basin scale.

Suggested Citation

  • Ayan Fleischmann & Walter Collischonn & Rodrigo Paiva & Carlos Eduardo Tucci, 2019. "Modeling the role of reservoirs versus floodplains on large-scale river hydrodynamics," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(2), pages 1075-1104, November.
  • Handle: RePEc:spr:nathaz:v:99:y:2019:i:2:d:10.1007_s11069-019-03797-9
    DOI: 10.1007/s11069-019-03797-9
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    References listed on IDEAS

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    1. Leandro Casagrande & Javier Tomasella & Regina Célia Santos Alvalá & Marcus Jorge Bottino & Rochane Oliveira Caram, 2017. "Early flood warning in the Itajaí-Açu River basin using numerical weather forecasting and hydrological modeling," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(2), pages 741-757, September.
    2. Hessel C. Winsemius & Jeroen C. J. H. Aerts & Ludovicus P. H. van Beek & Marc F. P. Bierkens & Arno Bouwman & Brenden Jongman & Jaap C. J. Kwadijk & Willem Ligtvoet & Paul L. Lucas & Detlef P. van Vuu, 2016. "Global drivers of future river flood risk," Nature Climate Change, Nature, vol. 6(4), pages 381-385, April.
    3. J. Yazdi & S. Salehi Neyshabouri, 2012. "Optimal design of flood-control multi-reservoir system on a watershed scale," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 63(2), pages 629-646, September.
    4. Yukiko Hirabayashi & Roobavannan Mahendran & Sujan Koirala & Lisako Konoshima & Dai Yamazaki & Satoshi Watanabe & Hyungjun Kim & Shinjiro Kanae, 2013. "Global flood risk under climate change," Nature Climate Change, Nature, vol. 3(9), pages 816-821, September.
    5. Lineu Rodrigues & Edson Sano & Tammo Steenhuis & Denílson Passo, 2012. "Estimation of Small Reservoir Storage Capacities with Remote Sensing in the Brazilian Savannah Region," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(4), pages 873-882, March.
    6. Fernando Mainardi Fan & Dirk Schwanenberg & Rodolfo Alvarado & Alberto Assis dos Reis & Walter Collischonn & Steffi Naumman, 2016. "Performance of Deterministic and Probabilistic Hydrological Forecasts for the Short-Term Optimization of a Tropical Hydropower Reservoir," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(10), pages 3609-3625, August.
    7. Shuhei Yoshimoto & Giriraj Amarnath, 2018. "Application of a flood inundation model to analyze the potential impacts of a flood control plan in Mundeni Aru river basin, Sri Lanka," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(2), pages 491-513, March.
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    2. Yichao Xu & Xinying Wang & Zhiqiang Jiang & Yi Liu & Li Zhang & Yukun Li, 2023. "An Improved Fineness Flood Risk Analysis Method Based on Digital Terrain Acquisition," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(10), pages 3973-3998, August.

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