Skip to main content
Log in

A high-precision hydrodynamic model coupled with the hydrological habitat suitability model to reveal estuarine vegetation distribution

  • Articles
  • Published:
Journal of Hydrodynamics Aims and scope Submit manuscript

Abstract

In this paper, based on the finite volume method, a high-precision hydrodynamic model coupled with the habitat suitability model is established, and the computational efficiency of the coupled model is improved by a graphics processing unit (GPU)-accelerated technology. The coupled model is used to solve the problem of the non-conservation of mass that may be caused by the nearshore hydrodynamic model in the processing of wetting and drying, while avoiding the unphysical high velocities at the wetting and drying boundaries. The coupled model is applied to simulate the high-precision hydrodynamic process of the Liao River estuary (LRE) and the hydrological habitat suitability of the estuarine vegetation (Suaeda heteroptera) growing in the LRE. The simulated values of the hydrological variables (the water level, the water depth, the current velocity and direction) are highly consistent with the measured values. The root mean square errors (RMSE) of the hydrological variables are 0.10m, 0.12m/s and 17.24°, respectively. Furthermore, the simulated combined suitability index (CSI) distribution of Suaeda heteroptera (S. heteroptera) matches with the distribution of S. heteroptera obtained from the high-resolution remote sensing satellite images during the same time period. The ratio of the simulated weighted usable area (WUA) of S. heteroptera to the area obtained from the remote sensing satellite images during the same period is 81.9%. This study reveals the phenomenon that the distribution of S. heteroptera in the LRE is highly correlated with the high-precision hydrodynamic processes, and provides a scientific basis and a valuable reference for the conservation and the restoration of the estuarine vegetation.

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.

Similar content being viewed by others

References

  1. Huai W. X., Li S. L., Katul G. G. et al. Flow dynamics and sediment transport in vegetated rivers: A review [J]. Journal of Hydrodynamics, 2021, 33(3): 400–420.

    Article  Google Scholar 

  2. Liang D., Lu J., Chen X. et al. An investigation of the hydrological influence on the distribution and transition of wetland cover in a complex lake-floodplain system using time-series remote sensing and hydrodynamic simulation [J]. Journal of Hydrology, 2020, 587: 125038.

    Article  Google Scholar 

  3. Xie D., An S., Davis J. A. Preface: Coastal wetlands: Services, uses, and conservation [J]. Hydrobiologia, 2019, 827: 1–2.

    Article  Google Scholar 

  4. Wu G., Li H., Liang B. et al. Subgrid modeling of salt marsh hydrodynamics with effects of vegetation and vegetation zonation [J]. Earth Surface Processes and Landforms, 2017, 42(12): 1755–1768.

    Article  Google Scholar 

  5. Yang L., Hou J., Cheng L. et al. Application of habitat suitability model coupling with high-precision hydrodynamic processes [J]. Ecological Modelling, 2021, 462: 109792.

    Article  Google Scholar 

  6. Brufau P., Vázquez-Cendón M. E., García-Navarro P. A numerical model for the flooding and drying of irregular domains [J]. International Journal for Numerical Methods in Fluids, 2002, 39(3): 247–275.

    Article  Google Scholar 

  7. Zhao X. D., Liang S. X., Sun Z. C. et al. A GPU accelerated finite volume coastal ocean model [J]. Journal of Hydrodynamics, 2017, 29(4): 679–690.

    Article  Google Scholar 

  8. Chen C. S., Liu H. D., Beardsley R. C. An unstructured grid, finite-volume, three-dimensional, primitive equations ocean model: Application to coastal ocean and estuaries [J]. Journal of Atmospheric and Oceanic Technology, 2003, 20(1): 159–186.

    Article  Google Scholar 

  9. Li X., Lei G., Li Y. et al. Assessing hydrodynamic effects of ecological restoration scenarios for a tidal-dominated wetland in Liaodong Bay (China) [J]. Science of the Total Environment, 2021, 752: 142339.

    Article  Google Scholar 

  10. Ma Q., Han Y., Xi Y. et al. Prediction study on the spatiotemporal distribution of Yesso scallop larvae based on a coupled biophysical model [J]. Aquaculture, 2021, 539: 736598.

    Article  Google Scholar 

  11. Huang Y., Zhang N., Pei Y. Well-balanced finite volume scheme for shallow water flooding and drying over arbitrary topography [J]. Engineering Applications of Computational Fluid Mechanics, 2013, 7(1): 40–54.

    Article  Google Scholar 

  12. Medeiros S. C., Hagen S. C. Review of wetting and drying algorithms for numerical tidal flow models [J]. International Journal for Numerical Methods in Fluids, 2013, 71(4): 473–487.

    Article  MathSciNet  Google Scholar 

  13. Brufau P., García-Navarro P., Vázquez-Cendón M. E. Zero mass error using unsteady wetting-drying conditions in shallow flows over dry irregular topography [J]. International Journal for Numerical Methods in Fluids, 2004, 45(10): 1047–1082.

    Article  MathSciNet  Google Scholar 

  14. Ma B., Dong F., Peng W. Q. et al. Evaluation of impact of spur dike designs on enhancement of aquatic habitats in urban streams using 2D habitat numerical simulations [J]. Global Ecology and Conservation, 2020, 24: e01288.

    Article  Google Scholar 

  15. Yi Y., Cheng X., Wieprecht S. et al. Comparison of habitat suitability models using different habitat suitability evaluation methods [J]. Ecological Engineering, 2014, 71: 335–345.

    Article  Google Scholar 

  16. Xie T., Cui B., Li S. Analysing how plants in coastal wetlands respond to varying tidal regimes throughout their life cycles [J]. Marine Pollution Bulletin, 2017, 113(1–2): 113–121.

    Article  Google Scholar 

  17. Wang H., Hsieh Y. P., Harwell M. A. et al. Modeling soil salinity distribution along topographic gradients in tidal salt marshes in Atlantic and Gulf coastal regions [J]. Ecological Modelling, 2007, 201(3): 429–439.

    Article  Google Scholar 

  18. Qian F. K., Zhou Y., Li W. N. et al. Soil characteristics in wetland degradation areas and soil threshold calculation for suaeda salsa growth in Liaohe Estuary wetland [J]. Chinese Journal of Soil Science, 2021, 52(5): 1085–1094(in Chinese).

    Google Scholar 

  19. Zhang M., Xu T., Jiang H. The impacts of runoff decrease and shoreline change on the salinity distribution in the wetlands of Liao River Estuary, China [J]. Ocean Science, 2020, 17(1): 187–201.

    Article  Google Scholar 

  20. Brooks K. L., Mossman H. L., Chitty J. L. et al. Limited vegetation development on a created salt marsh associated with over-consolidated sediments and lack of topographic heterogeneity [J]. Estuaries and Coasts, 2015, 38: 325–336.

    Article  Google Scholar 

  21. Zhou Z., Stefanon L., Olabarrieta M. et al. Analysis of the drainage density of experimental and modelled tidal networks [J]. Earth Surface Dynamics, 2014, 2(1): 105–116.

    Article  Google Scholar 

  22. Xu S., Huang X., Oey L. Y. et al. Pom.gpu-v1.0: A GPU-based princeton ocean model [J]. Geoscientific Model Development, 2015, 8(9): 2815–2827.

    Article  Google Scholar 

  23. Zhang M., Xu H. Numerical analysis of the potential effect of wetlands on reducing tidal currents in the Liao River Estuary, China [J]. Environmental Modelling and Assessment, 2021, 26(2): 205–220.

    Article  MathSciNet  Google Scholar 

  24. Hou W., Zhang R., Xi Y. et al. The role of waterlogging stress on the distribution of salt marsh plants in the Liao River Estuary wetland [J]. Global Ecology and Conservation, 2020, 23: e01100.

    Article  Google Scholar 

  25. Min B., Park K., Youm M. et al. Improvement of the wet and dry algorithm for an inundation problem using a parallel numerical model [J]. Journal of Coastal Research, 2014, 72: 133–138.

    Article  Google Scholar 

  26. Brufau P., García-Navarro P. Unsteady free surface flow simulation over complex topography with a multidimensional upwind technique [J]. Journal of Computational Physics, 2003, 186(2): 503–526.

    Article  MathSciNet  Google Scholar 

  27. Hou J., Kang Y., Hu C. et al. A GPU-based numerical model coupling hydrodynamical and morphological processes [J]. International Journal of Sediment Research, 2020, 35(4): 386–394.

    Article  Google Scholar 

  28. Zhao Z., Zhang L., Li X. et al. The onset of secondary seed dispersal is controlled by germination-features: A neglected process in sudden saltmarsh establishment [J]. Limnology and Oceanography, 2021, 66(8): 3070–3084.

    Article  Google Scholar 

Download references

Acknowledgment

The authors thank Jia-wen Sun from National Marine Environmental Monitoring Center of China for providing technical support.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shu-xiu Liang.

Additional information

Biography

Qiao-feng Ma (1994-), Male, Ph. D., E-mail: maqiaofeng@mail.dlut.edu.cn

Project supported by the National Key Research and Development Program of China (Grant No. 2019YFC1407700), the National Natural Science Foundation of China (Grant No. 51779038).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ma, Qf., Liang, Sx., Sun, Zc. et al. A high-precision hydrodynamic model coupled with the hydrological habitat suitability model to reveal estuarine vegetation distribution. J Hydrodyn 34, 451–466 (2022). https://doi.org/10.1007/s42241-022-0043-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s42241-022-0043-2

Key words

Navigation