Skip to main content

Advertisement

Log in

Estuarine environmental flow assessment based on the flow-ecological health index relation model: a case study in Yangtze River Estuary, China

  • Research
  • Published:
Environmental Monitoring and Assessment Aims and scope Submit manuscript

Abstract

Environmental flow (e-flow) is the water demand of one given ecosystem, which can become the flow regulation target for protection and restoration of river or estuarine ecosystems. In this study, an e-flow assessment based on the flow-ecological health index (EHI) relation model was conducted to improve ecosystem health of the Yangtze River Estuary (YRE). Monitoring data of hydrology, biology, and water environment in the last decades were used for the model establishment. For the description of the YRE ecosystem, an EHI system was developed by cumulative frequency distribution curves and adaption of national standards. After preprocessing original flow values into proportional flow values, the generalized additive model and Monte Carlo random sampling were used for the establishment of the flow-EHI relation model. From the model calculation, the e-flow assessment results were that, in proportional flow values, the suitable flow range was 1.05–1.35, and the optimum flow range was 1.15–1.25 (flows in Yangtze River Datong Station). For flow regulation in two crucial periods, flows of 42,630–65,545 m3/s or over 14,675 m3/s are needed for the suitable flow of YRE in summer (June–August) or January, respectively. An adaptive management framework of ecological health–based estuarine e-flow assessment for YRE was contrived due to the limitation of current established model when facing the extreme drought in summer, 2022. The methodology and framework in this study are expected to provide valuable management and data support for the sustainable development of estuarine ecosystems and to bring inspiration for further studies at even continental or global levels.

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

Similar content being viewed by others

Data availability

The data and code employed in this study are available upon request from the corresponding author.

References

Download references

Acknowledgements

The authors thank the China Three Gorges Corporation for data curation. The authors also thank the comments and advice from editors and reviewers, which are very helpful for the improvement of this paper and guiding our future research.

Funding

This study was supported by the National Natural Science Foundation of China (grant no. 42376163), the Fundamental Research Funds for the Central Universities (no. 22120230414‬), and the China Three Gorges Corporation (no. 201903173).

Author information

Authors and Affiliations

Authors

Contributions

Weizheng Huang: Conceptualization, Methodology, Software, Formal Analysis, Visualization, Writing-Original Draft. Lai Wei: Formal analysis, Data Curation, Writing-Review & Editing. Ya Yang: Writing-Review & Editing. Jinnuo Sun: Writing-Review & Editing. Ling Ding: Data Curation. Xinghua Wu: Data Curation. Leifu Zheng: Data Curation. Qinghui Huang: Conceptualization, Writing-Review & Editing, Supervision, Funding acquisition.

Corresponding author

Correspondence to Qinghui Huang.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher's Note

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

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (PDF 1486 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Huang, W., Wei, L., Yang, Y. et al. Estuarine environmental flow assessment based on the flow-ecological health index relation model: a case study in Yangtze River Estuary, China. Environ Monit Assess 196, 348 (2024). https://doi.org/10.1007/s10661-024-12487-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10661-024-12487-4

Keywords

Navigation