Skip to main content
Log in

Numerical Study of the Hydrodynamic and Sediment Transport Process in a Subtropical Water Reservoir: the Impacts of Storms and Winds

  • Published:
Environmental Modeling & Assessment Aims and scope Submit manuscript

Abstract

A three-dimensional (3D) numerical model was developed to investigate the thermodynamic and sediment processes in a subtropical drinking water reservoir. Data-driven models were also established to generate the inflow conditions. The modelling outputs revealed that climatic forces such as storms and winds significantly impact lake stratification and mixing processes. The sediment transport is driven by storm events, during which sediment delivery to the reservoir is dominated by allochthonous flux. The sediments are transported from riverine zones to transition zones and finally to lacustrine zones. It is estimated that sediment accumulation could have reached 100,000 kg during the largest storm event in February 2015. The winds can lead to a strong vertical water cycle, especially at the centre of the reservoir, and strong winds result in bed erosion in shallow regions. The outcomes of this paper benefit future research by providing a modelling approach for understanding the hydrodynamics of lakes and reservoirs under a variable climate, and also the local water utility by providing insights for an improved management of the reservoir of this study.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig.13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21

Similar content being viewed by others

References

  1. Missaghi S, Hondzo M (2011) 3D water quality modeling of a morphologically complex lake, sensitivity and uncertainty analyses, and examples of model applications. In: 19th international congress on modelling and simulation-sustaining our future: understanding and living with uncertainty, MODSIM2011, 2011. pp 3747-3753.

  2. Leon LF, Smith RE, Romero JR, Hecky RE (2006) Lake Erie hypoxia simulations with ELCOM-CAEDYM.

  3. Gooseff, M. N., Strzepek, K., & Chapra, S. C. (2005). Modeling the potential effects of climate change on water temperature downstream of a shallow reservoir, lower Madison River, MT. Climatic Change, 68(3), 331–353. https://doi.org/10.1007/s10584-005-9076-0.

    Article  CAS  Google Scholar 

  4. Yu, Y., Zhang, H., & Lemckert, C. (2017). Sediment transport in a shallow coastal region following severe flood events. Environmental Fluid Mechanics, 17(6), 1233–1253. https://doi.org/10.1007/s10652-017-9546-8.

    Article  CAS  Google Scholar 

  5. Weinberger, S., & Vetter, M. (2012). Using the hydrodynamic model DYRESM based on results of a regional climate model to estimate water temperature changes at Lake Ammersee. Ecological Modelling, 244, 38–48. https://doi.org/10.1016/j.ecolmodel.2012.06.016.

    Article  Google Scholar 

  6. Jin, K.-R., & Ji, Z.-G. (2005). Application and validation of three-dimensional model in a shallow lake. Journal of Waterway, Port, Coastal, and Ocean Engineering, 131(5), 213–225. https://doi.org/10.1061/(asce)0733-950x(2005)131:5(213).

    Article  Google Scholar 

  7. Zhang, H., & Chan, E.-S. (2003). Modeling of the turbulence in the water column under breaking wind waves. Journal of Oceanography, 59(3), 331–341. https://doi.org/10.1023/A:1025567911110.

    Article  Google Scholar 

  8. Ji, Z.-G., Hamrick, J. H., & Pagenkopf, J. (2002). Sediment and metals modeling in shallow river. Journal of Environmental Engineering, 128(2), 105–119. https://doi.org/10.1007/s10584-005-9076-0.

    Article  CAS  Google Scholar 

  9. Cerco, C. F., & Cole, T. (1993). Three-dimensional eutrophication model of Chesapeake Bay. Journal of Environmental Engineering, 119(6), 1006–1025. https://doi.org/10.1061/(asce)0733-9372(1993)119:6(1006).

    Article  CAS  Google Scholar 

  10. Bertone, E., Stewart, R. A., Zhang, H., & O’Halloran, K. (2015). Analysis of the mixing processes in the subtropical Advancetown Lake, Australia. Journal of Hydrology, 522, 67–79. https://doi.org/10.1016/j.jhydrol.2014.12.046.

    Article  Google Scholar 

  11. Sokolova, E., Pettersson, T. J., Bergstedt, O., & Hermansson, M. (2013). Hydrodynamic modelling of the microbial water quality in a drinking water source as input for risk reduction management. Journal of Hydrology, 497, 15–23. https://doi.org/10.1016/j.jhydrol.2013.05.044.

    Article  CAS  Google Scholar 

  12. Hodges BR (2000) Numerical techniques in CWR-ELCOM (code release v. 1). CWR manuscript WP 1422.

  13. Wu, T., Qin, B., Brookes, J. D., Yan, W., Ji, X., & Feng, J. (2019). Spatial distribution of sediment nitrogen and phosphorus in Lake Taihu from a hydrodynamics-induced transport perspective. Sci Total Environ, 650, 1554–1565. https://doi.org/10.1016/j.scitotenv.2018.09.145.

    Article  CAS  Google Scholar 

  14. Schernewski, G. (2003). Nutrient budgets, dynamics and storm effects in a eutrophic, stratified Baltic Lake. Acta Hydrochimica et Hydrobiologica, 31(2), 152–161. https://doi.org/10.1002/aheh.200300479.

    Article  CAS  Google Scholar 

  15. Missaghi, S., Hondzo, M., & Melching, C. (2013). Three-dimensional lake water quality modeling: Sensitivity and uncertainty analyses. Journal of Environmental Quality, 42(6), 1684–1698. https://doi.org/10.2134/jeq2013.04.0120.

    Article  CAS  Google Scholar 

  16. Ji, Z.-G. (2017). Hydrodynamics and water quality: modeling rivers, lakes, and estuaries. John Wiley & Sons. https://doi.org/10.1002/9781119371946.

  17. Bertone E, Stewart R, Zhang H, O'Halloran K (2014) Numerical study on climate variation and population growth impacts on an Australian subtropical water supply reservoir. Paper presented at the 11th International Conference in Hydroinformatics, New York, 17-21 august 2014.

  18. Jin, K.-R., Hamrick, J. H., & Tisdale, T. (2000). Application of three-dimensional hydrodynamic model for Lake Okeechobee. Journal of Hydraulic Engineering, 126(10), 758–771. https://doi.org/10.1061/(asce)0733-9429(2000)126:10(758).

    Article  Google Scholar 

  19. Li, Y., Zhang, Q., Yao, J., Werner, A. D., & Li, X. (2013). Hydrodynamic and hydrological modeling of the Poyang Lake catchment system in China. Journal of Hydrologic Engineering, 19(3), 607–616. https://doi.org/10.1061/(asce)he.1943-5584.0000835.

    Article  CAS  Google Scholar 

  20. Bedri, Z., Corkery, A., O'Sullivan, J. J., Alvarez, M. X., Erichsen, A. C., Deering, L. A., Demeter, K., O'Hare, G. M., Meijer, W. G., & Masterson, B. (2014). An integrated catchment-coastal modelling system for real-time water quality forecasts. Environmental Modelling & Software, 61, 458–476. https://doi.org/10.1016/j.envsoft.2014.02.006.

    Article  Google Scholar 

  21. Arhonditsis GB (2009) Useless arithmetic? Lessons learnt from aquatic biogeochemical modeling, vol 1. Modelling of pollutants in complex environmental systems.

  22. Ali, A., Lemckert, C. J., Zhang, H., & Dunn, R. J. (2013). Sediment dynamics of a very shallow subtropical estuarine lake. J Coastal Res, 30(2), 351–361. https://doi.org/10.2112/jcoastres-d-12-00255.1.

    Article  Google Scholar 

  23. Wang, X., Zhang, H., Bertone, E., Stewart, R. A., & O’Halloran, K. (2019). Analysis of the mixing processes in a shallow subtropical reservoir and their effects on dissolved organic matter. Water, 11(4), 737. https://doi.org/10.3390/w11040737.

    Article  CAS  Google Scholar 

  24. DHI (2017) MIKE 3 flow model, hydrodynamic module, scientific documentation. DHI Water & Environment, Horsholm.

  25. Song, Y., & Haidvogel, D. (1994). A semi-implicit ocean circulation model using a generalized topography-following coordinate system. Journal of Computational Physics, 115(1), 228–244. https://doi.org/10.1006/jcph.1994.1189.

    Article  Google Scholar 

  26. Mike D (2010) MIKE 3 flow model, hydrodynamic and transport module, scientific documentation. Hørsholm, Denmark: DHI Water Environment Health.

  27. Chowdhury R, Gardner T, Gardiner R, Chong M, Tonks M, Begbie D, Wakem S Catchment hydrology modelling for stormwater harvesting study in SEQ: From instrumentation to simulation. In: Science Forum, 2010.

  28. Ciesiolka, C., Coughlan, K., Rose, C., Escalante, M., Hashim, G. M., Paningbatan Jr., E., & Sombatpanit, S. (1995). Methodology for a multi-country study of soil erosion management. Soil Technology, 8(3), 179–192. https://doi.org/10.1016/0933-3630(95)00018-6.

    Article  Google Scholar 

  29. Irwin, J., & Pickrill, R. (1982). Water temperature and turbidity in glacially fed Lake Tekapo. New Zealand Journal of Marine and Freshwater Research, 16(2), 189–200. https://doi.org/10.1080/00288330.1982.9515962.

    Article  Google Scholar 

  30. Braun, C., Hardy, D. R., Bradley, R. S., & Retelle, M. J. (2000). Streamflow and suspended sediment transfer to Lake Sophia, Cornwallis Island, Nunavut, Canada. Arctic, Antarctic, and Alpine Research, 32(4), 456–465. https://doi.org/10.2307/1552395.

    Article  Google Scholar 

  31. Cogley, J. G., & McCann, S. (1976). An exceptional storm and its effects in the Canadian High Arctic. Arctic and Alpine Research, 8(1), 105–110. https://doi.org/10.2307/1550613.

    Article  Google Scholar 

Download references

Acknowledgments

The authors would like to acknowledge Danish Hydraulic Institute (DHI) Water and Environment for their assistance in providing the MIKE modelling system for this study. This research work was conducted with the technical and financial support of Seqwater and Griffith University.

Funding

This research was partially funded by the Australian Government through the Australian Research Council (ARC LP160100217).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hong Zhang.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Highlights

• Coupled data-driven and numerical model of a shallow water reservoir.

• Storm and winds have significant impacts on the lake stratification and mixing processes.

• Sediment transport dominated by allochthonous flux during storms.

• Strong winds result in the bed erosion in shallow regions of the lake.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, X., Zhang, H., Bertone, E. et al. Numerical Study of the Hydrodynamic and Sediment Transport Process in a Subtropical Water Reservoir: the Impacts of Storms and Winds. Environ Model Assess 25, 843–860 (2020). https://doi.org/10.1007/s10666-020-09719-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10666-020-09719-5

Keywords

Navigation